• It's ridiculous how Home Depot is promoting a mere 10% discount while hiding real savings on their patio furniture, appliances, and power tools behind a facade of “verified discounts.” Who are they trying to fool? These promo codes for June 2025 are a joke! It’s frustrating to see consumers being lured in with the false promise of savings when, in reality, they are just pawns in a marketing scheme. Why can’t companies like Home Depot be transparent about their pricing instead of throwing around a measly 10%? It’s time to wake up and demand better deals!

    #HomeDepot #PromoCodes #ConsumerRights #Savings #RetailFrustration
    It's ridiculous how Home Depot is promoting a mere 10% discount while hiding real savings on their patio furniture, appliances, and power tools behind a facade of “verified discounts.” Who are they trying to fool? These promo codes for June 2025 are a joke! It’s frustrating to see consumers being lured in with the false promise of savings when, in reality, they are just pawns in a marketing scheme. Why can’t companies like Home Depot be transparent about their pricing instead of throwing around a measly 10%? It’s time to wake up and demand better deals! #HomeDepot #PromoCodes #ConsumerRights #Savings #RetailFrustration
    10% Home Depot Promo Codes & Coupons | June 2025
    Save 10%, plus up to 50% with the latest Home Depot promo code and coupons for patio furniture, appliances, power tools with verified discounts for June 2025.
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  • Salut à tous, amis passionnés de jeux vidéo !

    Aujourd'hui, je suis tellement ravi de partager avec vous quelques réflexions inspirantes sur le monde fascinant de l'édition de jeux, notamment grâce à l'éditeur Balatro et Playstack, qui nous ouvrent un chemin prometteur vers un avenir radieux en 2025 !

    L'une des plus grandes leçons que nous pouvons tirer de cette aventure est l'importance de la transparence. Oui, vous avez bien entendu ! La transparence est le drapeau vert que nous devrions tous viser à lever dans nos projets. Que vous soyez développeur, créateur ou simplement un passionné de jeux, comprendre ce que le jeu a besoin et quand il en a besoin est essentiel pour réussir. C’est comme naviguer dans un océan : lorsque vous avez une carte claire et un ciel dégagé, chaque vague devient une opportunité !

    Imaginez un monde où les éditeurs et les développeurs partagent ouvertement leurs objectifs et leurs défis. Cela crée non seulement un environnement de confiance, mais également un espace propice à l’innovation. Nous avons tous le pouvoir de transformer des idées en réalité, et c'est cette transparence qui nous permet de surmonter les obstacles qui peuvent se présenter sur notre chemin.

    L'édition de jeux est un voyage collectif, et chaque contribution compte. Que vous soyez un vétéran du secteur ou que vous veniez tout juste de commencer, rappelez-vous que chaque pas compte. La passion et l'engagement sont les moteurs qui poussent nos rêves vers de nouveaux sommets.

    Alors, n'ayez pas peur de partager vos idées, vos besoins et vos attentes avec votre équipe ou votre communauté. Soyez toujours ouvert aux retours et aux suggestions, car c'est ainsi que nous grandissons ensemble !

    À tous ceux qui aspirent à faire partie de cette belle aventure, rappelez-vous : le chemin peut sembler long, mais avec la bonne attitude et une communication claire, rien n'est impossible ! Ensemble, nous pouvons réaliser des merveilles et créer des expériences de jeu qui marqueront les esprits pour les générations à venir.

    Restons unis, soyons transparents et préparons-nous à embrasser le futur avec enthousiasme et détermination ! Que l'aventure commence !

    #JeuxVidéo #ÉditionDeJeux #Transparence #Inspiration #Innovation
    🌟 Salut à tous, amis passionnés de jeux vidéo ! 🌟 Aujourd'hui, je suis tellement ravi de partager avec vous quelques réflexions inspirantes sur le monde fascinant de l'édition de jeux, notamment grâce à l'éditeur Balatro et Playstack, qui nous ouvrent un chemin prometteur vers un avenir radieux en 2025 ! 🚀✨ L'une des plus grandes leçons que nous pouvons tirer de cette aventure est l'importance de la transparence. Oui, vous avez bien entendu ! 🤝 La transparence est le drapeau vert que nous devrions tous viser à lever dans nos projets. Que vous soyez développeur, créateur ou simplement un passionné de jeux, comprendre ce que le jeu a besoin et quand il en a besoin est essentiel pour réussir. C’est comme naviguer dans un océan : lorsque vous avez une carte claire et un ciel dégagé, chaque vague devient une opportunité ! 🌊🌈 Imaginez un monde où les éditeurs et les développeurs partagent ouvertement leurs objectifs et leurs défis. Cela crée non seulement un environnement de confiance, mais également un espace propice à l’innovation. 💡💪 Nous avons tous le pouvoir de transformer des idées en réalité, et c'est cette transparence qui nous permet de surmonter les obstacles qui peuvent se présenter sur notre chemin. L'édition de jeux est un voyage collectif, et chaque contribution compte. Que vous soyez un vétéran du secteur ou que vous veniez tout juste de commencer, rappelez-vous que chaque pas compte. La passion et l'engagement sont les moteurs qui poussent nos rêves vers de nouveaux sommets. 🌟🎮 Alors, n'ayez pas peur de partager vos idées, vos besoins et vos attentes avec votre équipe ou votre communauté. Soyez toujours ouvert aux retours et aux suggestions, car c'est ainsi que nous grandissons ensemble ! 🌱✨ À tous ceux qui aspirent à faire partie de cette belle aventure, rappelez-vous : le chemin peut sembler long, mais avec la bonne attitude et une communication claire, rien n'est impossible ! Ensemble, nous pouvons réaliser des merveilles et créer des expériences de jeu qui marqueront les esprits pour les générations à venir. 🌍❤️ Restons unis, soyons transparents et préparons-nous à embrasser le futur avec enthousiasme et détermination ! Que l'aventure commence ! 🚀🌈 #JeuxVidéo #ÉditionDeJeux #Transparence #Inspiration #Innovation
    Balatro publisher Playstack outlines the path to a publishing deal in 2025
    'The biggest green flag is always transparency regarding what the game needs and when it needs it.'
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  • Ankur Kothari Q&A: Customer Engagement Book Interview

    Reading Time: 9 minutes
    In marketing, data isn’t a buzzword. It’s the lifeblood of all successful campaigns.
    But are you truly harnessing its power, or are you drowning in a sea of information? To answer this question, we sat down with Ankur Kothari, a seasoned Martech expert, to dive deep into this crucial topic.
    This interview, originally conducted for Chapter 6 of “The Customer Engagement Book: Adapt or Die” explores how businesses can translate raw data into actionable insights that drive real results.
    Ankur shares his wealth of knowledge on identifying valuable customer engagement data, distinguishing between signal and noise, and ultimately, shaping real-time strategies that keep companies ahead of the curve.

     
    Ankur Kothari Q&A Interview
    1. What types of customer engagement data are most valuable for making strategic business decisions?
    Primarily, there are four different buckets of customer engagement data. I would begin with behavioral data, encompassing website interaction, purchase history, and other app usage patterns.
    Second would be demographic information: age, location, income, and other relevant personal characteristics.
    Third would be sentiment analysis, where we derive information from social media interaction, customer feedback, or other customer reviews.
    Fourth would be the customer journey data.

    We track touchpoints across various channels of the customers to understand the customer journey path and conversion. Combining these four primary sources helps us understand the engagement data.

    2. How do you distinguish between data that is actionable versus data that is just noise?
    First is keeping relevant to your business objectives, making actionable data that directly relates to your specific goals or KPIs, and then taking help from statistical significance.
    Actionable data shows clear patterns or trends that are statistically valid, whereas other data consists of random fluctuations or outliers, which may not be what you are interested in.

    You also want to make sure that there is consistency across sources.
    Actionable insights are typically corroborated by multiple data points or channels, while other data or noise can be more isolated and contradictory.
    Actionable data suggests clear opportunities for improvement or decision making, whereas noise does not lead to meaningful actions or changes in strategy.

    By applying these criteria, I can effectively filter out the noise and focus on data that delivers or drives valuable business decisions.

    3. How can customer engagement data be used to identify and prioritize new business opportunities?
    First, it helps us to uncover unmet needs.

    By analyzing the customer feedback, touch points, support interactions, or usage patterns, we can identify the gaps in our current offerings or areas where customers are experiencing pain points.

    Second would be identifying emerging needs.
    Monitoring changes in customer behavior or preferences over time can reveal new market trends or shifts in demand, allowing my company to adapt their products or services accordingly.
    Third would be segmentation analysis.
    Detailed customer data analysis enables us to identify unserved or underserved segments or niche markets that may represent untapped opportunities for growth or expansion into newer areas and new geographies.
    Last is to build competitive differentiation.

    Engagement data can highlight where our companies outperform competitors, helping us to prioritize opportunities that leverage existing strengths and unique selling propositions.

    4. Can you share an example of where data insights directly influenced a critical decision?
    I will share an example from my previous organization at one of the financial services where we were very data-driven, which made a major impact on our critical decision regarding our credit card offerings.
    We analyzed the customer engagement data, and we discovered that a large segment of our millennial customers were underutilizing our traditional credit cards but showed high engagement with mobile payment platforms.
    That insight led us to develop and launch our first digital credit card product with enhanced mobile features and rewards tailored to the millennial spending habits. Since we had access to a lot of transactional data as well, we were able to build a financial product which met that specific segment’s needs.

    That data-driven decision resulted in a 40% increase in our new credit card applications from this demographic within the first quarter of the launch. Subsequently, our market share improved in that specific segment, which was very crucial.

    5. Are there any other examples of ways that you see customer engagement data being able to shape marketing strategy in real time?
    When it comes to using the engagement data in real-time, we do quite a few things. In the recent past two, three years, we are using that for dynamic content personalization, adjusting the website content, email messaging, or ad creative based on real-time user behavior and preferences.
    We automate campaign optimization using specific AI-driven tools to continuously analyze performance metrics and automatically reallocate the budget to top-performing channels or ad segments.
    Then we also build responsive social media engagement platforms like monitoring social media sentiments and trending topics to quickly adapt the messaging and create timely and relevant content.

    With one-on-one personalization, we do a lot of A/B testing as part of the overall rapid testing and market elements like subject lines, CTAs, and building various successful variants of the campaigns.

    6. How are you doing the 1:1 personalization?
    We have advanced CDP systems, and we are tracking each customer’s behavior in real-time. So the moment they move to different channels, we know what the context is, what the relevance is, and the recent interaction points, so we can cater the right offer.
    So for example, if you looked at a certain offer on the website and you came from Google, and then the next day you walk into an in-person interaction, our agent will already know that you were looking at that offer.
    That gives our customer or potential customer more one-to-one personalization instead of just segment-based or bulk interaction kind of experience.

    We have a huge team of data scientists, data analysts, and AI model creators who help us to analyze big volumes of data and bring the right insights to our marketing and sales team so that they can provide the right experience to our customers.

    7. What role does customer engagement data play in influencing cross-functional decisions, such as with product development, sales, and customer service?
    Primarily with product development — we have different products, not just the financial products or products whichever organizations sell, but also various products like mobile apps or websites they use for transactions. So that kind of product development gets improved.
    The engagement data helps our sales and marketing teams create more targeted campaigns, optimize channel selection, and refine messaging to resonate with specific customer segments.

    Customer service also gets helped by anticipating common issues, personalizing support interactions over the phone or email or chat, and proactively addressing potential problems, leading to improved customer satisfaction and retention.

    So in general, cross-functional application of engagement improves the customer-centric approach throughout the organization.

    8. What do you think some of the main challenges marketers face when trying to translate customer engagement data into actionable business insights?
    I think the huge amount of data we are dealing with. As we are getting more digitally savvy and most of the customers are moving to digital channels, we are getting a lot of data, and that sheer volume of data can be overwhelming, making it very difficult to identify truly meaningful patterns and insights.

    Because of the huge data overload, we create data silos in this process, so information often exists in separate systems across different departments. We are not able to build a holistic view of customer engagement.

    Because of data silos and overload of data, data quality issues appear. There is inconsistency, and inaccurate data can lead to incorrect insights or poor decision-making. Quality issues could also be due to the wrong format of the data, or the data is stale and no longer relevant.
    As we are growing and adding more people to help us understand customer engagement, I’ve also noticed that technical folks, especially data scientists and data analysts, lack skills to properly interpret the data or apply data insights effectively.
    So there’s a lack of understanding of marketing and sales as domains.
    It’s a huge effort and can take a lot of investment.

    Not being able to calculate the ROI of your overall investment is a big challenge that many organizations are facing.

    9. Why do you think the analysts don’t have the business acumen to properly do more than analyze the data?
    If people do not have the right idea of why we are collecting this data, we collect a lot of noise, and that brings in huge volumes of data. If you cannot stop that from step one—not bringing noise into the data system—that cannot be done by just technical folks or people who do not have business knowledge.
    Business people do not know everything about what data is being collected from which source and what data they need. It’s a gap between business domain knowledge, specifically marketing and sales needs, and technical folks who don’t have a lot of exposure to that side.

    Similarly, marketing business people do not have much exposure to the technical side — what’s possible to do with data, how much effort it takes, what’s relevant versus not relevant, and how to prioritize which data sources will be most important.

    10. Do you have any suggestions for how this can be overcome, or have you seen it in action where it has been solved before?
    First, cross-functional training: training different roles to help them understand why we’re doing this and what the business goals are, giving technical people exposure to what marketing and sales teams do.
    And giving business folks exposure to the technology side through training on different tools, strategies, and the roadmap of data integrations.
    The second is helping teams work more collaboratively. So it’s not like the technology team works in a silo and comes back when their work is done, and then marketing and sales teams act upon it.

    Now we’re making it more like one team. You work together so that you can complement each other, and we have a better strategy from day one.

    11. How do you address skepticism or resistance from stakeholders when presenting data-driven recommendations?
    We present clear business cases where we demonstrate how data-driven recommendations can directly align with business objectives and potential ROI.
    We build compelling visualizations, easy-to-understand charts and graphs that clearly illustrate the insights and the implications for business goals.

    We also do a lot of POCs and pilot projects with small-scale implementations to showcase tangible results and build confidence in the data-driven approach throughout the organization.

    12. What technologies or tools have you found most effective for gathering and analyzing customer engagement data?
    I’ve found that Customer Data Platforms help us unify customer data from various sources, providing a comprehensive view of customer interactions across touch points.
    Having advanced analytics platforms — tools with AI and machine learning capabilities that can process large volumes of data and uncover complex patterns and insights — is a great value to us.
    We always use, or many organizations use, marketing automation systems to improve marketing team productivity, helping us track and analyze customer interactions across multiple channels.
    Another thing is social media listening tools, wherever your brand is mentioned or you want to measure customer sentiment over social media, or track the engagement of your campaigns across social media platforms.

    Last is web analytical tools, which provide detailed insights into your website visitors’ behaviors and engagement metrics, for browser apps, small browser apps, various devices, and mobile apps.

    13. How do you ensure data quality and consistency across multiple channels to make these informed decisions?
    We established clear guidelines for data collection, storage, and usage across all channels to maintain consistency. Then we use data integration platforms — tools that consolidate data from various sources into a single unified view, reducing discrepancies and inconsistencies.
    While we collect data from different sources, we clean the data so it becomes cleaner with every stage of processing.
    We also conduct regular data audits — performing periodic checks to identify and rectify data quality issues, ensuring accuracy and reliability of information. We also deploy standardized data formats.

    On top of that, we have various automated data cleansing tools, specific software to detect and correct data errors, redundancies, duplicates, and inconsistencies in data sets automatically.

    14. How do you see the role of customer engagement data evolving in shaping business strategies over the next five years?
    The first thing that’s been the biggest trend from the past two years is AI-driven decision making, which I think will become more prevalent, with advanced algorithms processing vast amounts of engagement data in real-time to inform strategic choices.
    Somewhat related to this is predictive analytics, which will play an even larger role, enabling businesses to anticipate customer needs and market trends with more accuracy and better predictive capabilities.
    We also touched upon hyper-personalization. We are all trying to strive toward more hyper-personalization at scale, which is more one-on-one personalization, as we are increasingly capturing more engagement data and have bigger systems and infrastructure to support processing those large volumes of data so we can achieve those hyper-personalization use cases.
    As the world is collecting more data, privacy concerns and regulations come into play.
    I believe in the next few years there will be more innovation toward how businesses can collect data ethically and what the usage practices are, leading to more transparent and consent-based engagement data strategies.
    And lastly, I think about the integration of engagement data, which is always a big challenge. I believe as we’re solving those integration challenges, we are adding more and more complex data sources to the picture.

    So I think there will need to be more innovation or sophistication brought into data integration strategies, which will help us take a truly customer-centric approach to strategy formulation.

     
    This interview Q&A was hosted with Ankur Kothari, a previous Martech Executive, for Chapter 6 of The Customer Engagement Book: Adapt or Die.
    Download the PDF or request a physical copy of the book here.
    The post Ankur Kothari Q&A: Customer Engagement Book Interview appeared first on MoEngage.
    #ankur #kothari #qampampa #customer #engagement
    Ankur Kothari Q&A: Customer Engagement Book Interview
    Reading Time: 9 minutes In marketing, data isn’t a buzzword. It’s the lifeblood of all successful campaigns. But are you truly harnessing its power, or are you drowning in a sea of information? To answer this question, we sat down with Ankur Kothari, a seasoned Martech expert, to dive deep into this crucial topic. This interview, originally conducted for Chapter 6 of “The Customer Engagement Book: Adapt or Die” explores how businesses can translate raw data into actionable insights that drive real results. Ankur shares his wealth of knowledge on identifying valuable customer engagement data, distinguishing between signal and noise, and ultimately, shaping real-time strategies that keep companies ahead of the curve.   Ankur Kothari Q&A Interview 1. What types of customer engagement data are most valuable for making strategic business decisions? Primarily, there are four different buckets of customer engagement data. I would begin with behavioral data, encompassing website interaction, purchase history, and other app usage patterns. Second would be demographic information: age, location, income, and other relevant personal characteristics. Third would be sentiment analysis, where we derive information from social media interaction, customer feedback, or other customer reviews. Fourth would be the customer journey data. We track touchpoints across various channels of the customers to understand the customer journey path and conversion. Combining these four primary sources helps us understand the engagement data. 2. How do you distinguish between data that is actionable versus data that is just noise? First is keeping relevant to your business objectives, making actionable data that directly relates to your specific goals or KPIs, and then taking help from statistical significance. Actionable data shows clear patterns or trends that are statistically valid, whereas other data consists of random fluctuations or outliers, which may not be what you are interested in. You also want to make sure that there is consistency across sources. Actionable insights are typically corroborated by multiple data points or channels, while other data or noise can be more isolated and contradictory. Actionable data suggests clear opportunities for improvement or decision making, whereas noise does not lead to meaningful actions or changes in strategy. By applying these criteria, I can effectively filter out the noise and focus on data that delivers or drives valuable business decisions. 3. How can customer engagement data be used to identify and prioritize new business opportunities? First, it helps us to uncover unmet needs. By analyzing the customer feedback, touch points, support interactions, or usage patterns, we can identify the gaps in our current offerings or areas where customers are experiencing pain points. Second would be identifying emerging needs. Monitoring changes in customer behavior or preferences over time can reveal new market trends or shifts in demand, allowing my company to adapt their products or services accordingly. Third would be segmentation analysis. Detailed customer data analysis enables us to identify unserved or underserved segments or niche markets that may represent untapped opportunities for growth or expansion into newer areas and new geographies. Last is to build competitive differentiation. Engagement data can highlight where our companies outperform competitors, helping us to prioritize opportunities that leverage existing strengths and unique selling propositions. 4. Can you share an example of where data insights directly influenced a critical decision? I will share an example from my previous organization at one of the financial services where we were very data-driven, which made a major impact on our critical decision regarding our credit card offerings. We analyzed the customer engagement data, and we discovered that a large segment of our millennial customers were underutilizing our traditional credit cards but showed high engagement with mobile payment platforms. That insight led us to develop and launch our first digital credit card product with enhanced mobile features and rewards tailored to the millennial spending habits. Since we had access to a lot of transactional data as well, we were able to build a financial product which met that specific segment’s needs. That data-driven decision resulted in a 40% increase in our new credit card applications from this demographic within the first quarter of the launch. Subsequently, our market share improved in that specific segment, which was very crucial. 5. Are there any other examples of ways that you see customer engagement data being able to shape marketing strategy in real time? When it comes to using the engagement data in real-time, we do quite a few things. In the recent past two, three years, we are using that for dynamic content personalization, adjusting the website content, email messaging, or ad creative based on real-time user behavior and preferences. We automate campaign optimization using specific AI-driven tools to continuously analyze performance metrics and automatically reallocate the budget to top-performing channels or ad segments. Then we also build responsive social media engagement platforms like monitoring social media sentiments and trending topics to quickly adapt the messaging and create timely and relevant content. With one-on-one personalization, we do a lot of A/B testing as part of the overall rapid testing and market elements like subject lines, CTAs, and building various successful variants of the campaigns. 6. How are you doing the 1:1 personalization? We have advanced CDP systems, and we are tracking each customer’s behavior in real-time. So the moment they move to different channels, we know what the context is, what the relevance is, and the recent interaction points, so we can cater the right offer. So for example, if you looked at a certain offer on the website and you came from Google, and then the next day you walk into an in-person interaction, our agent will already know that you were looking at that offer. That gives our customer or potential customer more one-to-one personalization instead of just segment-based or bulk interaction kind of experience. We have a huge team of data scientists, data analysts, and AI model creators who help us to analyze big volumes of data and bring the right insights to our marketing and sales team so that they can provide the right experience to our customers. 7. What role does customer engagement data play in influencing cross-functional decisions, such as with product development, sales, and customer service? Primarily with product development — we have different products, not just the financial products or products whichever organizations sell, but also various products like mobile apps or websites they use for transactions. So that kind of product development gets improved. The engagement data helps our sales and marketing teams create more targeted campaigns, optimize channel selection, and refine messaging to resonate with specific customer segments. Customer service also gets helped by anticipating common issues, personalizing support interactions over the phone or email or chat, and proactively addressing potential problems, leading to improved customer satisfaction and retention. So in general, cross-functional application of engagement improves the customer-centric approach throughout the organization. 8. What do you think some of the main challenges marketers face when trying to translate customer engagement data into actionable business insights? I think the huge amount of data we are dealing with. As we are getting more digitally savvy and most of the customers are moving to digital channels, we are getting a lot of data, and that sheer volume of data can be overwhelming, making it very difficult to identify truly meaningful patterns and insights. Because of the huge data overload, we create data silos in this process, so information often exists in separate systems across different departments. We are not able to build a holistic view of customer engagement. Because of data silos and overload of data, data quality issues appear. There is inconsistency, and inaccurate data can lead to incorrect insights or poor decision-making. Quality issues could also be due to the wrong format of the data, or the data is stale and no longer relevant. As we are growing and adding more people to help us understand customer engagement, I’ve also noticed that technical folks, especially data scientists and data analysts, lack skills to properly interpret the data or apply data insights effectively. So there’s a lack of understanding of marketing and sales as domains. It’s a huge effort and can take a lot of investment. Not being able to calculate the ROI of your overall investment is a big challenge that many organizations are facing. 9. Why do you think the analysts don’t have the business acumen to properly do more than analyze the data? If people do not have the right idea of why we are collecting this data, we collect a lot of noise, and that brings in huge volumes of data. If you cannot stop that from step one—not bringing noise into the data system—that cannot be done by just technical folks or people who do not have business knowledge. Business people do not know everything about what data is being collected from which source and what data they need. It’s a gap between business domain knowledge, specifically marketing and sales needs, and technical folks who don’t have a lot of exposure to that side. Similarly, marketing business people do not have much exposure to the technical side — what’s possible to do with data, how much effort it takes, what’s relevant versus not relevant, and how to prioritize which data sources will be most important. 10. Do you have any suggestions for how this can be overcome, or have you seen it in action where it has been solved before? First, cross-functional training: training different roles to help them understand why we’re doing this and what the business goals are, giving technical people exposure to what marketing and sales teams do. And giving business folks exposure to the technology side through training on different tools, strategies, and the roadmap of data integrations. The second is helping teams work more collaboratively. So it’s not like the technology team works in a silo and comes back when their work is done, and then marketing and sales teams act upon it. Now we’re making it more like one team. You work together so that you can complement each other, and we have a better strategy from day one. 11. How do you address skepticism or resistance from stakeholders when presenting data-driven recommendations? We present clear business cases where we demonstrate how data-driven recommendations can directly align with business objectives and potential ROI. We build compelling visualizations, easy-to-understand charts and graphs that clearly illustrate the insights and the implications for business goals. We also do a lot of POCs and pilot projects with small-scale implementations to showcase tangible results and build confidence in the data-driven approach throughout the organization. 12. What technologies or tools have you found most effective for gathering and analyzing customer engagement data? I’ve found that Customer Data Platforms help us unify customer data from various sources, providing a comprehensive view of customer interactions across touch points. Having advanced analytics platforms — tools with AI and machine learning capabilities that can process large volumes of data and uncover complex patterns and insights — is a great value to us. We always use, or many organizations use, marketing automation systems to improve marketing team productivity, helping us track and analyze customer interactions across multiple channels. Another thing is social media listening tools, wherever your brand is mentioned or you want to measure customer sentiment over social media, or track the engagement of your campaigns across social media platforms. Last is web analytical tools, which provide detailed insights into your website visitors’ behaviors and engagement metrics, for browser apps, small browser apps, various devices, and mobile apps. 13. How do you ensure data quality and consistency across multiple channels to make these informed decisions? We established clear guidelines for data collection, storage, and usage across all channels to maintain consistency. Then we use data integration platforms — tools that consolidate data from various sources into a single unified view, reducing discrepancies and inconsistencies. While we collect data from different sources, we clean the data so it becomes cleaner with every stage of processing. We also conduct regular data audits — performing periodic checks to identify and rectify data quality issues, ensuring accuracy and reliability of information. We also deploy standardized data formats. On top of that, we have various automated data cleansing tools, specific software to detect and correct data errors, redundancies, duplicates, and inconsistencies in data sets automatically. 14. How do you see the role of customer engagement data evolving in shaping business strategies over the next five years? The first thing that’s been the biggest trend from the past two years is AI-driven decision making, which I think will become more prevalent, with advanced algorithms processing vast amounts of engagement data in real-time to inform strategic choices. Somewhat related to this is predictive analytics, which will play an even larger role, enabling businesses to anticipate customer needs and market trends with more accuracy and better predictive capabilities. We also touched upon hyper-personalization. We are all trying to strive toward more hyper-personalization at scale, which is more one-on-one personalization, as we are increasingly capturing more engagement data and have bigger systems and infrastructure to support processing those large volumes of data so we can achieve those hyper-personalization use cases. As the world is collecting more data, privacy concerns and regulations come into play. I believe in the next few years there will be more innovation toward how businesses can collect data ethically and what the usage practices are, leading to more transparent and consent-based engagement data strategies. And lastly, I think about the integration of engagement data, which is always a big challenge. I believe as we’re solving those integration challenges, we are adding more and more complex data sources to the picture. So I think there will need to be more innovation or sophistication brought into data integration strategies, which will help us take a truly customer-centric approach to strategy formulation.   This interview Q&A was hosted with Ankur Kothari, a previous Martech Executive, for Chapter 6 of The Customer Engagement Book: Adapt or Die. Download the PDF or request a physical copy of the book here. The post Ankur Kothari Q&A: Customer Engagement Book Interview appeared first on MoEngage. #ankur #kothari #qampampa #customer #engagement
    WWW.MOENGAGE.COM
    Ankur Kothari Q&A: Customer Engagement Book Interview
    Reading Time: 9 minutes In marketing, data isn’t a buzzword. It’s the lifeblood of all successful campaigns. But are you truly harnessing its power, or are you drowning in a sea of information? To answer this question (and many others), we sat down with Ankur Kothari, a seasoned Martech expert, to dive deep into this crucial topic. This interview, originally conducted for Chapter 6 of “The Customer Engagement Book: Adapt or Die” explores how businesses can translate raw data into actionable insights that drive real results. Ankur shares his wealth of knowledge on identifying valuable customer engagement data, distinguishing between signal and noise, and ultimately, shaping real-time strategies that keep companies ahead of the curve.   Ankur Kothari Q&A Interview 1. What types of customer engagement data are most valuable for making strategic business decisions? Primarily, there are four different buckets of customer engagement data. I would begin with behavioral data, encompassing website interaction, purchase history, and other app usage patterns. Second would be demographic information: age, location, income, and other relevant personal characteristics. Third would be sentiment analysis, where we derive information from social media interaction, customer feedback, or other customer reviews. Fourth would be the customer journey data. We track touchpoints across various channels of the customers to understand the customer journey path and conversion. Combining these four primary sources helps us understand the engagement data. 2. How do you distinguish between data that is actionable versus data that is just noise? First is keeping relevant to your business objectives, making actionable data that directly relates to your specific goals or KPIs, and then taking help from statistical significance. Actionable data shows clear patterns or trends that are statistically valid, whereas other data consists of random fluctuations or outliers, which may not be what you are interested in. You also want to make sure that there is consistency across sources. Actionable insights are typically corroborated by multiple data points or channels, while other data or noise can be more isolated and contradictory. Actionable data suggests clear opportunities for improvement or decision making, whereas noise does not lead to meaningful actions or changes in strategy. By applying these criteria, I can effectively filter out the noise and focus on data that delivers or drives valuable business decisions. 3. How can customer engagement data be used to identify and prioritize new business opportunities? First, it helps us to uncover unmet needs. By analyzing the customer feedback, touch points, support interactions, or usage patterns, we can identify the gaps in our current offerings or areas where customers are experiencing pain points. Second would be identifying emerging needs. Monitoring changes in customer behavior or preferences over time can reveal new market trends or shifts in demand, allowing my company to adapt their products or services accordingly. Third would be segmentation analysis. Detailed customer data analysis enables us to identify unserved or underserved segments or niche markets that may represent untapped opportunities for growth or expansion into newer areas and new geographies. Last is to build competitive differentiation. Engagement data can highlight where our companies outperform competitors, helping us to prioritize opportunities that leverage existing strengths and unique selling propositions. 4. Can you share an example of where data insights directly influenced a critical decision? I will share an example from my previous organization at one of the financial services where we were very data-driven, which made a major impact on our critical decision regarding our credit card offerings. We analyzed the customer engagement data, and we discovered that a large segment of our millennial customers were underutilizing our traditional credit cards but showed high engagement with mobile payment platforms. That insight led us to develop and launch our first digital credit card product with enhanced mobile features and rewards tailored to the millennial spending habits. Since we had access to a lot of transactional data as well, we were able to build a financial product which met that specific segment’s needs. That data-driven decision resulted in a 40% increase in our new credit card applications from this demographic within the first quarter of the launch. Subsequently, our market share improved in that specific segment, which was very crucial. 5. Are there any other examples of ways that you see customer engagement data being able to shape marketing strategy in real time? When it comes to using the engagement data in real-time, we do quite a few things. In the recent past two, three years, we are using that for dynamic content personalization, adjusting the website content, email messaging, or ad creative based on real-time user behavior and preferences. We automate campaign optimization using specific AI-driven tools to continuously analyze performance metrics and automatically reallocate the budget to top-performing channels or ad segments. Then we also build responsive social media engagement platforms like monitoring social media sentiments and trending topics to quickly adapt the messaging and create timely and relevant content. With one-on-one personalization, we do a lot of A/B testing as part of the overall rapid testing and market elements like subject lines, CTAs, and building various successful variants of the campaigns. 6. How are you doing the 1:1 personalization? We have advanced CDP systems, and we are tracking each customer’s behavior in real-time. So the moment they move to different channels, we know what the context is, what the relevance is, and the recent interaction points, so we can cater the right offer. So for example, if you looked at a certain offer on the website and you came from Google, and then the next day you walk into an in-person interaction, our agent will already know that you were looking at that offer. That gives our customer or potential customer more one-to-one personalization instead of just segment-based or bulk interaction kind of experience. We have a huge team of data scientists, data analysts, and AI model creators who help us to analyze big volumes of data and bring the right insights to our marketing and sales team so that they can provide the right experience to our customers. 7. What role does customer engagement data play in influencing cross-functional decisions, such as with product development, sales, and customer service? Primarily with product development — we have different products, not just the financial products or products whichever organizations sell, but also various products like mobile apps or websites they use for transactions. So that kind of product development gets improved. The engagement data helps our sales and marketing teams create more targeted campaigns, optimize channel selection, and refine messaging to resonate with specific customer segments. Customer service also gets helped by anticipating common issues, personalizing support interactions over the phone or email or chat, and proactively addressing potential problems, leading to improved customer satisfaction and retention. So in general, cross-functional application of engagement improves the customer-centric approach throughout the organization. 8. What do you think some of the main challenges marketers face when trying to translate customer engagement data into actionable business insights? I think the huge amount of data we are dealing with. As we are getting more digitally savvy and most of the customers are moving to digital channels, we are getting a lot of data, and that sheer volume of data can be overwhelming, making it very difficult to identify truly meaningful patterns and insights. Because of the huge data overload, we create data silos in this process, so information often exists in separate systems across different departments. We are not able to build a holistic view of customer engagement. Because of data silos and overload of data, data quality issues appear. There is inconsistency, and inaccurate data can lead to incorrect insights or poor decision-making. Quality issues could also be due to the wrong format of the data, or the data is stale and no longer relevant. As we are growing and adding more people to help us understand customer engagement, I’ve also noticed that technical folks, especially data scientists and data analysts, lack skills to properly interpret the data or apply data insights effectively. So there’s a lack of understanding of marketing and sales as domains. It’s a huge effort and can take a lot of investment. Not being able to calculate the ROI of your overall investment is a big challenge that many organizations are facing. 9. Why do you think the analysts don’t have the business acumen to properly do more than analyze the data? If people do not have the right idea of why we are collecting this data, we collect a lot of noise, and that brings in huge volumes of data. If you cannot stop that from step one—not bringing noise into the data system—that cannot be done by just technical folks or people who do not have business knowledge. Business people do not know everything about what data is being collected from which source and what data they need. It’s a gap between business domain knowledge, specifically marketing and sales needs, and technical folks who don’t have a lot of exposure to that side. Similarly, marketing business people do not have much exposure to the technical side — what’s possible to do with data, how much effort it takes, what’s relevant versus not relevant, and how to prioritize which data sources will be most important. 10. Do you have any suggestions for how this can be overcome, or have you seen it in action where it has been solved before? First, cross-functional training: training different roles to help them understand why we’re doing this and what the business goals are, giving technical people exposure to what marketing and sales teams do. And giving business folks exposure to the technology side through training on different tools, strategies, and the roadmap of data integrations. The second is helping teams work more collaboratively. So it’s not like the technology team works in a silo and comes back when their work is done, and then marketing and sales teams act upon it. Now we’re making it more like one team. You work together so that you can complement each other, and we have a better strategy from day one. 11. How do you address skepticism or resistance from stakeholders when presenting data-driven recommendations? We present clear business cases where we demonstrate how data-driven recommendations can directly align with business objectives and potential ROI. We build compelling visualizations, easy-to-understand charts and graphs that clearly illustrate the insights and the implications for business goals. We also do a lot of POCs and pilot projects with small-scale implementations to showcase tangible results and build confidence in the data-driven approach throughout the organization. 12. What technologies or tools have you found most effective for gathering and analyzing customer engagement data? I’ve found that Customer Data Platforms help us unify customer data from various sources, providing a comprehensive view of customer interactions across touch points. Having advanced analytics platforms — tools with AI and machine learning capabilities that can process large volumes of data and uncover complex patterns and insights — is a great value to us. We always use, or many organizations use, marketing automation systems to improve marketing team productivity, helping us track and analyze customer interactions across multiple channels. Another thing is social media listening tools, wherever your brand is mentioned or you want to measure customer sentiment over social media, or track the engagement of your campaigns across social media platforms. Last is web analytical tools, which provide detailed insights into your website visitors’ behaviors and engagement metrics, for browser apps, small browser apps, various devices, and mobile apps. 13. How do you ensure data quality and consistency across multiple channels to make these informed decisions? We established clear guidelines for data collection, storage, and usage across all channels to maintain consistency. Then we use data integration platforms — tools that consolidate data from various sources into a single unified view, reducing discrepancies and inconsistencies. While we collect data from different sources, we clean the data so it becomes cleaner with every stage of processing. We also conduct regular data audits — performing periodic checks to identify and rectify data quality issues, ensuring accuracy and reliability of information. We also deploy standardized data formats. On top of that, we have various automated data cleansing tools, specific software to detect and correct data errors, redundancies, duplicates, and inconsistencies in data sets automatically. 14. How do you see the role of customer engagement data evolving in shaping business strategies over the next five years? The first thing that’s been the biggest trend from the past two years is AI-driven decision making, which I think will become more prevalent, with advanced algorithms processing vast amounts of engagement data in real-time to inform strategic choices. Somewhat related to this is predictive analytics, which will play an even larger role, enabling businesses to anticipate customer needs and market trends with more accuracy and better predictive capabilities. We also touched upon hyper-personalization. We are all trying to strive toward more hyper-personalization at scale, which is more one-on-one personalization, as we are increasingly capturing more engagement data and have bigger systems and infrastructure to support processing those large volumes of data so we can achieve those hyper-personalization use cases. As the world is collecting more data, privacy concerns and regulations come into play. I believe in the next few years there will be more innovation toward how businesses can collect data ethically and what the usage practices are, leading to more transparent and consent-based engagement data strategies. And lastly, I think about the integration of engagement data, which is always a big challenge. I believe as we’re solving those integration challenges, we are adding more and more complex data sources to the picture. So I think there will need to be more innovation or sophistication brought into data integration strategies, which will help us take a truly customer-centric approach to strategy formulation.   This interview Q&A was hosted with Ankur Kothari, a previous Martech Executive, for Chapter 6 of The Customer Engagement Book: Adapt or Die. Download the PDF or request a physical copy of the book here. The post Ankur Kothari Q&A: Customer Engagement Book Interview appeared first on MoEngage.
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  • AI Is Not a Black Box (Relatively Speaking)

    Compared to the opacity around human intelligence, AI is more transparent in some very tangible ways.
    The post AI Is Not a Black Boxappeared first on Towards Data Science.
    #not #black #box #relatively #speaking
    AI Is Not a Black Box (Relatively Speaking)
    Compared to the opacity around human intelligence, AI is more transparent in some very tangible ways. The post AI Is Not a Black Boxappeared first on Towards Data Science. #not #black #box #relatively #speaking
    AI Is Not a Black Box (Relatively Speaking)
    Compared to the opacity around human intelligence, AI is more transparent in some very tangible ways. The post AI Is Not a Black Box (Relatively Speaking) appeared first on Towards Data Science.
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  • Microsoft trolls Apple's new Liquid Glass UI for looking like Windows Vista

    In a nutshell: The OS updates coming to Apple devices later this year will institute the company's first major UI design shift in over a decade, but eagle-eyed observers noticed similarities with an old version of Windows – comparisons that haven't escaped Microsoft's notice. Thankfully, users concerned about Apple's upcoming interface will have options to change its visual presentation.
    Some of Microsoft's social media accounts recently poked fun at the upcoming "Liquid Glass" user interface design language Apple unveiled at WWDC this week. Although the Cupertino giant has hailed the update as a major innovation, many immediately began comparing it to Microsoft's nearly two-decade-old Windows Vista UI.

     

     
     

     

    View this post on Instagram

     

     
     
     

     
     

     
     
     

     
     

    A post shared by WindowsLiquid Glass is Apple's name for the new visual style arriving in iOS 26, iPadOS 26, macOS 26 Tahoe, watchOS 26, and tvOS 26, which will launch this fall. Inspired by the Apple Vision Pro's visionOS, the design language favors rounded edges and transparent backgrounds for inputs and other UI functions.
    It is Apple's most significant design change since iOS 7 debuted almost 12 years ago, and the first to establish a unified language across all of the company's devices.
    On the left: nice Liquid Glass UI minimalistic look. On the right: Liquid Glass looking all kinds of wrong in the current beta.

    Apps, wallpapers, and other background content will be visible through app icons, notifications, and menu elements for a glass-like appearance. Apple claims that the effect will improve cohesion across the interface, but beta testers are concerned that text will become less readable.
    Others, including Microsoft, mocked the update's resemblance to Windows Vista's glass-like "Aero" aesthetic, which debuted in 2007. That OS also made UI elements partially transparent, but Microsoft eventually phased it out when it began moving toward its current design language.
    The official Windows Instagram account recently responded to Apple's presentation by posting a slideshow of Vista screenshots played over a nostalgic Windows boot tune. The Windows Twitter account also shared a picture recalling the Vista-era profile icons.
    Other social media users joined in on the fun. Some highlighted the unfortunate placement of the YouTube icon in Apple's Liquid Glass explainer video, which the company altered. Others compared the design language to the unique chassis for Apple's 2000 Power Mac G4 Cube and the main menu for Nintendo's 2012 Wii U game console.
    Fortunately, users can customize Liquid Glass by switching between transparent, light, and dark modes. They can also opt for a slightly more opaque presentation with a toggle located under Settings > Accessibility > Display & Text Size > Reduce Transparency.
    #microsoft #trolls #apple039s #new #liquid
    Microsoft trolls Apple's new Liquid Glass UI for looking like Windows Vista
    In a nutshell: The OS updates coming to Apple devices later this year will institute the company's first major UI design shift in over a decade, but eagle-eyed observers noticed similarities with an old version of Windows – comparisons that haven't escaped Microsoft's notice. Thankfully, users concerned about Apple's upcoming interface will have options to change its visual presentation. Some of Microsoft's social media accounts recently poked fun at the upcoming "Liquid Glass" user interface design language Apple unveiled at WWDC this week. Although the Cupertino giant has hailed the update as a major innovation, many immediately began comparing it to Microsoft's nearly two-decade-old Windows Vista UI.         View this post on Instagram                       A post shared by WindowsLiquid Glass is Apple's name for the new visual style arriving in iOS 26, iPadOS 26, macOS 26 Tahoe, watchOS 26, and tvOS 26, which will launch this fall. Inspired by the Apple Vision Pro's visionOS, the design language favors rounded edges and transparent backgrounds for inputs and other UI functions. It is Apple's most significant design change since iOS 7 debuted almost 12 years ago, and the first to establish a unified language across all of the company's devices. On the left: nice Liquid Glass UI minimalistic look. On the right: Liquid Glass looking all kinds of wrong in the current beta. Apps, wallpapers, and other background content will be visible through app icons, notifications, and menu elements for a glass-like appearance. Apple claims that the effect will improve cohesion across the interface, but beta testers are concerned that text will become less readable. Others, including Microsoft, mocked the update's resemblance to Windows Vista's glass-like "Aero" aesthetic, which debuted in 2007. That OS also made UI elements partially transparent, but Microsoft eventually phased it out when it began moving toward its current design language. The official Windows Instagram account recently responded to Apple's presentation by posting a slideshow of Vista screenshots played over a nostalgic Windows boot tune. The Windows Twitter account also shared a picture recalling the Vista-era profile icons. Other social media users joined in on the fun. Some highlighted the unfortunate placement of the YouTube icon in Apple's Liquid Glass explainer video, which the company altered. Others compared the design language to the unique chassis for Apple's 2000 Power Mac G4 Cube and the main menu for Nintendo's 2012 Wii U game console. Fortunately, users can customize Liquid Glass by switching between transparent, light, and dark modes. They can also opt for a slightly more opaque presentation with a toggle located under Settings > Accessibility > Display & Text Size > Reduce Transparency. #microsoft #trolls #apple039s #new #liquid
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    Microsoft trolls Apple's new Liquid Glass UI for looking like Windows Vista
    In a nutshell: The OS updates coming to Apple devices later this year will institute the company's first major UI design shift in over a decade, but eagle-eyed observers noticed similarities with an old version of Windows – comparisons that haven't escaped Microsoft's notice. Thankfully, users concerned about Apple's upcoming interface will have options to change its visual presentation. Some of Microsoft's social media accounts recently poked fun at the upcoming "Liquid Glass" user interface design language Apple unveiled at WWDC this week. Although the Cupertino giant has hailed the update as a major innovation, many immediately began comparing it to Microsoft's nearly two-decade-old Windows Vista UI.         View this post on Instagram                       A post shared by Windows (@windows) Liquid Glass is Apple's name for the new visual style arriving in iOS 26, iPadOS 26, macOS 26 Tahoe, watchOS 26, and tvOS 26, which will launch this fall. Inspired by the Apple Vision Pro's visionOS, the design language favors rounded edges and transparent backgrounds for inputs and other UI functions. It is Apple's most significant design change since iOS 7 debuted almost 12 years ago, and the first to establish a unified language across all of the company's devices. On the left: nice Liquid Glass UI minimalistic look. On the right: Liquid Glass looking all kinds of wrong in the current beta. Apps, wallpapers, and other background content will be visible through app icons, notifications, and menu elements for a glass-like appearance. Apple claims that the effect will improve cohesion across the interface, but beta testers are concerned that text will become less readable. Others, including Microsoft, mocked the update's resemblance to Windows Vista's glass-like "Aero" aesthetic, which debuted in 2007. That OS also made UI elements partially transparent, but Microsoft eventually phased it out when it began moving toward its current design language. The official Windows Instagram account recently responded to Apple's presentation by posting a slideshow of Vista screenshots played over a nostalgic Windows boot tune. The Windows Twitter account also shared a picture recalling the Vista-era profile icons. Other social media users joined in on the fun. Some highlighted the unfortunate placement of the YouTube icon in Apple's Liquid Glass explainer video, which the company altered. Others compared the design language to the unique chassis for Apple's 2000 Power Mac G4 Cube and the main menu for Nintendo's 2012 Wii U game console. Fortunately, users can customize Liquid Glass by switching between transparent, light, and dark modes. They can also opt for a slightly more opaque presentation with a toggle located under Settings > Accessibility > Display & Text Size > Reduce Transparency.
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  • Graduate Student Develops an A.I.-Based Approach to Restore Time-Damaged Artwork to Its Former Glory

    Graduate Student Develops an A.I.-Based Approach to Restore Time-Damaged Artwork to Its Former Glory
    The method could help bring countless old paintings, currently stored in the back rooms of galleries with limited conservation budgets, to light

    Scans of the painting retouched with a new technique during various stages in the process. On the right is the restored painting with the applied laminate mask.
    Courtesy of the researchers via MIT

    In a contest for jobs requiring the most patience, art restoration might take first place. Traditionally, conservators restore paintings by recreating the artwork’s exact colors to fill in the damage, one spot at a time. Even with the help of X-ray imaging and pigment analyses, several parts of the expensive process, such as the cleaning and retouching, are done by hand, as noted by Artnet’s Jo Lawson-Tancred.
    Now, a mechanical engineering graduate student at MIT has developed an artificial intelligence-based approach that can achieve a faithful restoration in just hours—instead of months of work.
    In a paper published Wednesday in the journal Nature, Alex Kachkine describes a new method that applies digital restorations to paintings by placing a thin film on top. If the approach becomes widespread, it could make art restoration more accessible and help bring countless damaged paintings, currently stored in the back rooms of galleries with limited conservation budgets, back to light.
    The new technique “is a restoration process that saves a lot of time and money, while also being reversible, which some people feel is really important to preserving the underlying character of a piece,” Kachkine tells Nature’s Amanda Heidt.

    Meet the engineer who invented an AI-powered way to restore art
    Watch on

    While filling in damaged areas of a painting would seem like a logical solution to many people, direct retouching raises ethical concerns for modern conservators. That’s because an artwork’s damage is part of its history, and retouching might detract from the painter’s original vision. “For example, instead of removing flaking paint and retouching the painting, a conservator might try to fix the loose paint particles to their original places,” writes Hartmut Kutzke, a chemist at the University of Oslo’s Museum of Cultural History, for Nature News and Views. If retouching is absolutely necessary, he adds, it should be reversible.
    As such, some institutions have started restoring artwork virtually and presenting the restoration next to the untouched, physical version. Many art lovers might argue, however, that a digital restoration printed out or displayed on a screen doesn’t quite compare to seeing the original painting in its full glory.
    That’s where Kachkine, who is also an art collector and amateur conservator, comes in. The MIT student has developed a way to apply digital restorations onto a damaged painting. In short, the approach involves using pre-existing A.I. tools to create a digital version of what the freshly painted artwork would have looked like. Based on this reconstruction, Kachkine’s new software assembles a map of the retouches, and their exact colors, necessary to fill the gaps present in the painting today.
    The map is then printed onto two layers of thin, transparent polymer film—one with colored retouches and one with the same pattern in white—that attach to the painting with conventional varnish. This “mask” aligns the retouches with the gaps while leaving the rest of the artwork visible.
    “In order to fully reproduce color, you need both white and color ink to get the full spectrum,” Kachkine explains in an MIT statement. “If those two layers are misaligned, that’s very easy to see. So, I also developed a few computational tools, based on what we know of human color perception, to determine how small of a region we can practically align and restore.”
    The method’s magic lies in the fact that the mask is removable, and the digital file provides a record of the modifications for future conservators to study.
    Kachkine demonstrated the approach on a 15th-century oil painting in dire need of restoration, by a Dutch artist whose name is now unknown. The retouches were generated by matching the surrounding color, replicating similar patterns visible elsewhere in the painting or copying the artist’s style in other paintings, per Nature News and Views. Overall, the painting’s 5,612 damaged regions were filled with 57,314 different colors in 3.5 hours—66 hours faster than traditional methods would have likely taken.

    Overview of Physically-Applied Digital Restoration
    Watch on

    “It followed years of effort to try to get the method working,” Kachkine tells the Guardian’s Ian Sample. “There was a fair bit of relief that finally this method was able to reconstruct and stitch together the surviving parts of the painting.”
    The new process still poses ethical considerations, such as whether the applied film disrupts the viewing experience or whether A.I.-generated corrections to the painting are accurate. Additionally, Kutzke writes for Nature News and Views that the effect of the varnish on the painting should be studied more deeply.
    Still, Kachkine says this technique could help address the large number of damaged artworks that live in storage rooms. “This approach grants greatly increased foresight and flexibility to conservators,” per the study, “enabling the restoration of countless damaged paintings deemed unworthy of high conservation budgets.”

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    #graduate #student #develops #aibased #approach
    Graduate Student Develops an A.I.-Based Approach to Restore Time-Damaged Artwork to Its Former Glory
    Graduate Student Develops an A.I.-Based Approach to Restore Time-Damaged Artwork to Its Former Glory The method could help bring countless old paintings, currently stored in the back rooms of galleries with limited conservation budgets, to light Scans of the painting retouched with a new technique during various stages in the process. On the right is the restored painting with the applied laminate mask. Courtesy of the researchers via MIT In a contest for jobs requiring the most patience, art restoration might take first place. Traditionally, conservators restore paintings by recreating the artwork’s exact colors to fill in the damage, one spot at a time. Even with the help of X-ray imaging and pigment analyses, several parts of the expensive process, such as the cleaning and retouching, are done by hand, as noted by Artnet’s Jo Lawson-Tancred. Now, a mechanical engineering graduate student at MIT has developed an artificial intelligence-based approach that can achieve a faithful restoration in just hours—instead of months of work. In a paper published Wednesday in the journal Nature, Alex Kachkine describes a new method that applies digital restorations to paintings by placing a thin film on top. If the approach becomes widespread, it could make art restoration more accessible and help bring countless damaged paintings, currently stored in the back rooms of galleries with limited conservation budgets, back to light. The new technique “is a restoration process that saves a lot of time and money, while also being reversible, which some people feel is really important to preserving the underlying character of a piece,” Kachkine tells Nature’s Amanda Heidt. Meet the engineer who invented an AI-powered way to restore art Watch on While filling in damaged areas of a painting would seem like a logical solution to many people, direct retouching raises ethical concerns for modern conservators. That’s because an artwork’s damage is part of its history, and retouching might detract from the painter’s original vision. “For example, instead of removing flaking paint and retouching the painting, a conservator might try to fix the loose paint particles to their original places,” writes Hartmut Kutzke, a chemist at the University of Oslo’s Museum of Cultural History, for Nature News and Views. If retouching is absolutely necessary, he adds, it should be reversible. As such, some institutions have started restoring artwork virtually and presenting the restoration next to the untouched, physical version. Many art lovers might argue, however, that a digital restoration printed out or displayed on a screen doesn’t quite compare to seeing the original painting in its full glory. That’s where Kachkine, who is also an art collector and amateur conservator, comes in. The MIT student has developed a way to apply digital restorations onto a damaged painting. In short, the approach involves using pre-existing A.I. tools to create a digital version of what the freshly painted artwork would have looked like. Based on this reconstruction, Kachkine’s new software assembles a map of the retouches, and their exact colors, necessary to fill the gaps present in the painting today. The map is then printed onto two layers of thin, transparent polymer film—one with colored retouches and one with the same pattern in white—that attach to the painting with conventional varnish. This “mask” aligns the retouches with the gaps while leaving the rest of the artwork visible. “In order to fully reproduce color, you need both white and color ink to get the full spectrum,” Kachkine explains in an MIT statement. “If those two layers are misaligned, that’s very easy to see. So, I also developed a few computational tools, based on what we know of human color perception, to determine how small of a region we can practically align and restore.” The method’s magic lies in the fact that the mask is removable, and the digital file provides a record of the modifications for future conservators to study. Kachkine demonstrated the approach on a 15th-century oil painting in dire need of restoration, by a Dutch artist whose name is now unknown. The retouches were generated by matching the surrounding color, replicating similar patterns visible elsewhere in the painting or copying the artist’s style in other paintings, per Nature News and Views. Overall, the painting’s 5,612 damaged regions were filled with 57,314 different colors in 3.5 hours—66 hours faster than traditional methods would have likely taken. Overview of Physically-Applied Digital Restoration Watch on “It followed years of effort to try to get the method working,” Kachkine tells the Guardian’s Ian Sample. “There was a fair bit of relief that finally this method was able to reconstruct and stitch together the surviving parts of the painting.” The new process still poses ethical considerations, such as whether the applied film disrupts the viewing experience or whether A.I.-generated corrections to the painting are accurate. Additionally, Kutzke writes for Nature News and Views that the effect of the varnish on the painting should be studied more deeply. Still, Kachkine says this technique could help address the large number of damaged artworks that live in storage rooms. “This approach grants greatly increased foresight and flexibility to conservators,” per the study, “enabling the restoration of countless damaged paintings deemed unworthy of high conservation budgets.” Get the latest stories in your inbox every weekday. #graduate #student #develops #aibased #approach
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    Graduate Student Develops an A.I.-Based Approach to Restore Time-Damaged Artwork to Its Former Glory
    Graduate Student Develops an A.I.-Based Approach to Restore Time-Damaged Artwork to Its Former Glory The method could help bring countless old paintings, currently stored in the back rooms of galleries with limited conservation budgets, to light Scans of the painting retouched with a new technique during various stages in the process. On the right is the restored painting with the applied laminate mask. Courtesy of the researchers via MIT In a contest for jobs requiring the most patience, art restoration might take first place. Traditionally, conservators restore paintings by recreating the artwork’s exact colors to fill in the damage, one spot at a time. Even with the help of X-ray imaging and pigment analyses, several parts of the expensive process, such as the cleaning and retouching, are done by hand, as noted by Artnet’s Jo Lawson-Tancred. Now, a mechanical engineering graduate student at MIT has developed an artificial intelligence-based approach that can achieve a faithful restoration in just hours—instead of months of work. In a paper published Wednesday in the journal Nature, Alex Kachkine describes a new method that applies digital restorations to paintings by placing a thin film on top. If the approach becomes widespread, it could make art restoration more accessible and help bring countless damaged paintings, currently stored in the back rooms of galleries with limited conservation budgets, back to light. The new technique “is a restoration process that saves a lot of time and money, while also being reversible, which some people feel is really important to preserving the underlying character of a piece,” Kachkine tells Nature’s Amanda Heidt. Meet the engineer who invented an AI-powered way to restore art Watch on While filling in damaged areas of a painting would seem like a logical solution to many people, direct retouching raises ethical concerns for modern conservators. That’s because an artwork’s damage is part of its history, and retouching might detract from the painter’s original vision. “For example, instead of removing flaking paint and retouching the painting, a conservator might try to fix the loose paint particles to their original places,” writes Hartmut Kutzke, a chemist at the University of Oslo’s Museum of Cultural History, for Nature News and Views. If retouching is absolutely necessary, he adds, it should be reversible. As such, some institutions have started restoring artwork virtually and presenting the restoration next to the untouched, physical version. Many art lovers might argue, however, that a digital restoration printed out or displayed on a screen doesn’t quite compare to seeing the original painting in its full glory. That’s where Kachkine, who is also an art collector and amateur conservator, comes in. The MIT student has developed a way to apply digital restorations onto a damaged painting. In short, the approach involves using pre-existing A.I. tools to create a digital version of what the freshly painted artwork would have looked like. Based on this reconstruction, Kachkine’s new software assembles a map of the retouches, and their exact colors, necessary to fill the gaps present in the painting today. The map is then printed onto two layers of thin, transparent polymer film—one with colored retouches and one with the same pattern in white—that attach to the painting with conventional varnish. This “mask” aligns the retouches with the gaps while leaving the rest of the artwork visible. “In order to fully reproduce color, you need both white and color ink to get the full spectrum,” Kachkine explains in an MIT statement. “If those two layers are misaligned, that’s very easy to see. So, I also developed a few computational tools, based on what we know of human color perception, to determine how small of a region we can practically align and restore.” The method’s magic lies in the fact that the mask is removable, and the digital file provides a record of the modifications for future conservators to study. Kachkine demonstrated the approach on a 15th-century oil painting in dire need of restoration, by a Dutch artist whose name is now unknown. The retouches were generated by matching the surrounding color, replicating similar patterns visible elsewhere in the painting or copying the artist’s style in other paintings, per Nature News and Views. Overall, the painting’s 5,612 damaged regions were filled with 57,314 different colors in 3.5 hours—66 hours faster than traditional methods would have likely taken. Overview of Physically-Applied Digital Restoration Watch on “It followed years of effort to try to get the method working,” Kachkine tells the Guardian’s Ian Sample. “There was a fair bit of relief that finally this method was able to reconstruct and stitch together the surviving parts of the painting.” The new process still poses ethical considerations, such as whether the applied film disrupts the viewing experience or whether A.I.-generated corrections to the painting are accurate. Additionally, Kutzke writes for Nature News and Views that the effect of the varnish on the painting should be studied more deeply. Still, Kachkine says this technique could help address the large number of damaged artworks that live in storage rooms. “This approach grants greatly increased foresight and flexibility to conservators,” per the study, “enabling the restoration of countless damaged paintings deemed unworthy of high conservation budgets.” Get the latest stories in your inbox every weekday.
    0 Yorumlar 0 hisse senetleri
  • How Do I Make A Small Space Look Bigger Without Renovating

    Living in a small space doesn’t mean you have to feel cramped or boxed in. With the right design tricks, you can make even the tiniest room feel open, airy, and inviting, no renovation required. Whether you’re in a compact apartment, a small home, or just trying to make the most of a single room, smart styling and layout choices can dramatically shift how the space looks and feels. From strategic lighting and paint colors to furniture swaps and clever storage solutions, there are plenty of easy, affordable ways to stretch your square footage visually. Ready to transform your space? Here are some practical, design-savvy ideas to make your home feel bigger without tearing down a single wall.

    1. Opt for Multi-Functional Furniture

    Image Source: House Beautiful

    In a small space, every piece of furniture should earn its keep. Look for multi-functional items: ottomans that open up for storage, beds with drawers underneath, or coffee tables that can extend or lift to become a desk. Not only do these pieces help reduce clutter, but they also free up floor space, making the room look more open. Bonus points for furniture that can be folded away when not in use. By choosing versatile pieces, you’re making the most of every inch without sacrificing style or comfort.

    2. Keep Pathways Clear

    Image Source: The Spruce

    One of the simplest yet most effective ways to make a small space feel bigger is to keep pathways and walkways clear. When furniture or clutter blocks natural movement through a room, it can make the space feel cramped and chaotic. Take a walk through your home and notice where you’re dodging corners or squeezing between pieces,those are areas to rethink. Opt for smaller furniture with slim profiles, or rearrange what you have to create an easy, natural flow. Open walkways help your eyes move freely through the room, making everything feel more spacious, breathable, and intentional. It’s all about giving yourself room to move,literally and visually.

    3. Use Glass and Lucite Furniture

    Image Source: The Spruce

    Transparent furniture made from glass or Lucitetakes up less visual space because you can see right through it. A glass coffee table or clear dining chairs can provide functionality without cluttering up the view. These pieces practically disappear into the background, which helps the room feel more open. They also add a touch of modern sophistication. When you need furniture but don’t want it to dominate the room, going clear is a clever design choice.

    4. Don’t Over-Clutter Your Space

    Image Source: House Beautiful

    In small spaces, clutter accumulates fast,and it visually shrinks your environment. The more items scattered around, the more cramped the room feels. Start by taking a critical look at what you own and asking: do I really need this here? Use storage bins, under-bed containers, or floating shelves to hide away what you don’t use daily. Keep surfaces like countertops, desks, and coffee tables as clear as possible. A minimal, clean setup allows the eye to rest and makes the space feel open and intentional. Remember: less stuff equals more space,both physically and mentally.

    5. Utilize Your Windows

    Image Source: House Beautiful

    Windows are like built-in art that can also dramatically affect how big or small your space feels. Don’t cover them with heavy drapes or clutter them with too many objects on the sill. Keep window treatments light and minimal,sheer curtains or roller blinds are perfect. If privacy isn’t a big concern, consider leaving them bare. Letting natural light flood in through your windows instantly opens up your space and makes it feel brighter and more expansive. You can also place mirrors or shiny surfaces near windows to reflect more light into the room and maximize their impact.

    6. Downsize Your Dining Table

    Image Source: House Beautiful

    A large dining table can dominate a small room, leaving little space to move or breathe. If you rarely entertain a big crowd, consider downsizing to a smaller round or drop-leaf table. These take up less visual and physical space and still offer enough room for daily meals. You can always keep a folding table or stackable chairs nearby for when guests do come over. Round tables are especially great for small spaces because they allow smoother traffic flow and eliminate awkward corners. Plus, a smaller table encourages intimacy during meals and helps the whole area feel more open and functional.

    7. Use Mirrors Strategically

    Image Source: The Tiny Cottage

    Mirrors can work magic in a small room. They reflect both natural and artificial light, which can instantly make a space feel larger and brighter. A large mirror on a wall opposite a window can double the amount of light in your room. Mirrored furniture or decor elements like trays and picture frames also help. Think about using mirrored closet doors or even creating a mirror gallery wall. It’s not just about brightness; mirrors also create a sense of depth, tricking the eye into seeing more space than there actually is.

    8. Install a Murphy Bed

    Image Source: House Beautiful

    A Murphy bedis a game-changer for anyone living in a tight space. It folds up into the wall or a cabinet when not in use, instantly transforming your bedroom into a living room, office, or workout area. This setup gives you the flexibility to have a multi-purpose room without sacrificing comfort. Modern Murphy beds often come with built-in shelves or desks, offering even more function without taking up extra space. If you want to reclaim your floor during the day and still get a good night’s sleep, this is one smart solution.

    9. Paint It White

    Image Source: House Beautiful

    Painting your walls white is one of the easiest and most effective tricks to make a space feel bigger. White reflects light, helping the room feel open, clean, and fresh. It creates a seamless look, making walls seem to recede and ceilings feel higher. You can still have fun with the space, layer in texture, subtle patterns, or neutral accessories to keep it from feeling sterile. White also acts as a blank canvas, letting your furniture and art stand out. Whether you’re decorating a studio apartment or a small home office, a fresh coat of white paint can work wonders.

    10. Prioritize Natural Light

    Image Source: The Spruce

    Natural light has an incredible ability to make any room feel more spacious and welcoming. To make the most of it, avoid blocking windows with bulky furniture or dark curtains. Consider using light-filtering shades or sheer curtains to let sunlight pour in while maintaining some privacy. Arrange mirrors or reflective surfaces like glossy tables and metallic decor to bounce the light around the room. Even placing furniture in a way that lets light flow freely can change how open your home feels. Natural light not only brightens your space but also boosts your mood, making it a double win.

    11. Maximize Shelving

    Image Source: House Beautiful

    When floor space is limited, vertical storage becomes your best ally. Floating shelves, wall-mounted units, or tall bookcases draw the eye upward, creating a sense of height and maximizing every inch. They’re perfect for books, plants, artwork, or even kitchen supplies if you’re short on cabinets. You can also install corner shelves to use often-overlooked spots. Keep them tidy and curated,group items by color, size, or theme for a visually pleasing look. Shelving helps reduce clutter on the floor and tabletops, keeping your home organized and visually open without requiring any extra square footage.

    12. Keep It Neutral

    Image Source: House Beautiful

    Neutral tones, like soft whites, light grays, warm beiges, and pale taupes,can make a space feel calm and cohesive. These colors reflect light well and reduce visual clutter, making your room appear larger. A neutral palette doesn’t mean boring; you can still play with textures, patterns, and accents within that color family. Add throw pillows, rugs, or wall art in layered neutrals for interest without overwhelming the space. When everything flows in similar tones, it creates continuity, which tricks the eye into seeing a more expansive area. It’s an effortless way to open up your home without lifting a hammer.

    13. Choose Benches, Not Chairs

    Image Source: House Beautiful

    When space is tight, traditional dining chairs or bulky accent seats can eat up more room than they’re worth. Benches, on the other hand, are a sleek, versatile alternative. They tuck neatly under tables when not in use, saving valuable floor space and keeping walkways open. In entryways, living rooms, or at the foot of a bed, a bench offers seating and can double as storage or display. Some come with built-in compartments or open space beneath for baskets. Plus, benches visually declutter the room with their simple, low-profile design.

    14. Use Vertical Spaces

    Image Source: The Spruce

    When you’re short on square footage, think vertical. Use tall bookshelves, wall-mounted shelves, and hanging storage to keep things off the floor. Vertical lines naturally draw the eye upward, which creates a feeling of height and openness. Consider mounting floating shelves for books, plants, or decorative items. Hooks and pegboards can add function without taking up space. Making use of your wall space not only maximizes storage but also frees up floor area, which visually enlarges the room.

    15. Add a Gallery Wall

    Image Source: House Beautiful

    It might seem counterintuitive, but adding a gallery wall can actually make a small space feel bigger,if done right. A curated display of art, photos, or prints draws the eye upward and outward, giving the illusion of a larger area. Stick to cohesive frames and colors to maintain a clean, intentional look. You can go symmetrical for a polished feel or get creative with an organic, freeform layout. Position the gallery higher on the wall to elongate the space visually. Just be sure not to overcrowd,balance is key. A thoughtful gallery wall adds personality without cluttering the room.

    Finishing Notes:

    Creating a spacious feel in a small home doesn’t require a sledgehammer or a major remodel, it just takes a bit of strategy and smart design. From downsizing your dining table to letting natural light pour in, each tip we’ve shared is an easy, budget-friendly way to visually open up your space.

    If you’re looking for even more inspiration, layout ideas, or style guides, be sure to explore Home Designing. It’s packed with expert advice, modern interior trends, and visual walkthroughs to help you transform your space, big or small, into something that truly feels like home.
    #how #make #small #space #look
    How Do I Make A Small Space Look Bigger Without Renovating
    Living in a small space doesn’t mean you have to feel cramped or boxed in. With the right design tricks, you can make even the tiniest room feel open, airy, and inviting, no renovation required. Whether you’re in a compact apartment, a small home, or just trying to make the most of a single room, smart styling and layout choices can dramatically shift how the space looks and feels. From strategic lighting and paint colors to furniture swaps and clever storage solutions, there are plenty of easy, affordable ways to stretch your square footage visually. Ready to transform your space? Here are some practical, design-savvy ideas to make your home feel bigger without tearing down a single wall. 1. Opt for Multi-Functional Furniture Image Source: House Beautiful In a small space, every piece of furniture should earn its keep. Look for multi-functional items: ottomans that open up for storage, beds with drawers underneath, or coffee tables that can extend or lift to become a desk. Not only do these pieces help reduce clutter, but they also free up floor space, making the room look more open. Bonus points for furniture that can be folded away when not in use. By choosing versatile pieces, you’re making the most of every inch without sacrificing style or comfort. 2. Keep Pathways Clear Image Source: The Spruce One of the simplest yet most effective ways to make a small space feel bigger is to keep pathways and walkways clear. When furniture or clutter blocks natural movement through a room, it can make the space feel cramped and chaotic. Take a walk through your home and notice where you’re dodging corners or squeezing between pieces,those are areas to rethink. Opt for smaller furniture with slim profiles, or rearrange what you have to create an easy, natural flow. Open walkways help your eyes move freely through the room, making everything feel more spacious, breathable, and intentional. It’s all about giving yourself room to move,literally and visually. 3. Use Glass and Lucite Furniture Image Source: The Spruce Transparent furniture made from glass or Lucitetakes up less visual space because you can see right through it. A glass coffee table or clear dining chairs can provide functionality without cluttering up the view. These pieces practically disappear into the background, which helps the room feel more open. They also add a touch of modern sophistication. When you need furniture but don’t want it to dominate the room, going clear is a clever design choice. 4. Don’t Over-Clutter Your Space Image Source: House Beautiful In small spaces, clutter accumulates fast,and it visually shrinks your environment. The more items scattered around, the more cramped the room feels. Start by taking a critical look at what you own and asking: do I really need this here? Use storage bins, under-bed containers, or floating shelves to hide away what you don’t use daily. Keep surfaces like countertops, desks, and coffee tables as clear as possible. A minimal, clean setup allows the eye to rest and makes the space feel open and intentional. Remember: less stuff equals more space,both physically and mentally. 5. Utilize Your Windows Image Source: House Beautiful Windows are like built-in art that can also dramatically affect how big or small your space feels. Don’t cover them with heavy drapes or clutter them with too many objects on the sill. Keep window treatments light and minimal,sheer curtains or roller blinds are perfect. If privacy isn’t a big concern, consider leaving them bare. Letting natural light flood in through your windows instantly opens up your space and makes it feel brighter and more expansive. You can also place mirrors or shiny surfaces near windows to reflect more light into the room and maximize their impact. 6. Downsize Your Dining Table Image Source: House Beautiful A large dining table can dominate a small room, leaving little space to move or breathe. If you rarely entertain a big crowd, consider downsizing to a smaller round or drop-leaf table. These take up less visual and physical space and still offer enough room for daily meals. You can always keep a folding table or stackable chairs nearby for when guests do come over. Round tables are especially great for small spaces because they allow smoother traffic flow and eliminate awkward corners. Plus, a smaller table encourages intimacy during meals and helps the whole area feel more open and functional. 7. Use Mirrors Strategically Image Source: The Tiny Cottage Mirrors can work magic in a small room. They reflect both natural and artificial light, which can instantly make a space feel larger and brighter. A large mirror on a wall opposite a window can double the amount of light in your room. Mirrored furniture or decor elements like trays and picture frames also help. Think about using mirrored closet doors or even creating a mirror gallery wall. It’s not just about brightness; mirrors also create a sense of depth, tricking the eye into seeing more space than there actually is. 8. Install a Murphy Bed Image Source: House Beautiful A Murphy bedis a game-changer for anyone living in a tight space. It folds up into the wall or a cabinet when not in use, instantly transforming your bedroom into a living room, office, or workout area. This setup gives you the flexibility to have a multi-purpose room without sacrificing comfort. Modern Murphy beds often come with built-in shelves or desks, offering even more function without taking up extra space. If you want to reclaim your floor during the day and still get a good night’s sleep, this is one smart solution. 9. Paint It White Image Source: House Beautiful Painting your walls white is one of the easiest and most effective tricks to make a space feel bigger. White reflects light, helping the room feel open, clean, and fresh. It creates a seamless look, making walls seem to recede and ceilings feel higher. You can still have fun with the space, layer in texture, subtle patterns, or neutral accessories to keep it from feeling sterile. White also acts as a blank canvas, letting your furniture and art stand out. Whether you’re decorating a studio apartment or a small home office, a fresh coat of white paint can work wonders. 10. Prioritize Natural Light Image Source: The Spruce Natural light has an incredible ability to make any room feel more spacious and welcoming. To make the most of it, avoid blocking windows with bulky furniture or dark curtains. Consider using light-filtering shades or sheer curtains to let sunlight pour in while maintaining some privacy. Arrange mirrors or reflective surfaces like glossy tables and metallic decor to bounce the light around the room. Even placing furniture in a way that lets light flow freely can change how open your home feels. Natural light not only brightens your space but also boosts your mood, making it a double win. 11. Maximize Shelving Image Source: House Beautiful When floor space is limited, vertical storage becomes your best ally. Floating shelves, wall-mounted units, or tall bookcases draw the eye upward, creating a sense of height and maximizing every inch. They’re perfect for books, plants, artwork, or even kitchen supplies if you’re short on cabinets. You can also install corner shelves to use often-overlooked spots. Keep them tidy and curated,group items by color, size, or theme for a visually pleasing look. Shelving helps reduce clutter on the floor and tabletops, keeping your home organized and visually open without requiring any extra square footage. 12. Keep It Neutral Image Source: House Beautiful Neutral tones, like soft whites, light grays, warm beiges, and pale taupes,can make a space feel calm and cohesive. These colors reflect light well and reduce visual clutter, making your room appear larger. A neutral palette doesn’t mean boring; you can still play with textures, patterns, and accents within that color family. Add throw pillows, rugs, or wall art in layered neutrals for interest without overwhelming the space. When everything flows in similar tones, it creates continuity, which tricks the eye into seeing a more expansive area. It’s an effortless way to open up your home without lifting a hammer. 13. Choose Benches, Not Chairs Image Source: House Beautiful When space is tight, traditional dining chairs or bulky accent seats can eat up more room than they’re worth. Benches, on the other hand, are a sleek, versatile alternative. They tuck neatly under tables when not in use, saving valuable floor space and keeping walkways open. In entryways, living rooms, or at the foot of a bed, a bench offers seating and can double as storage or display. Some come with built-in compartments or open space beneath for baskets. Plus, benches visually declutter the room with their simple, low-profile design. 14. Use Vertical Spaces Image Source: The Spruce When you’re short on square footage, think vertical. Use tall bookshelves, wall-mounted shelves, and hanging storage to keep things off the floor. Vertical lines naturally draw the eye upward, which creates a feeling of height and openness. Consider mounting floating shelves for books, plants, or decorative items. Hooks and pegboards can add function without taking up space. Making use of your wall space not only maximizes storage but also frees up floor area, which visually enlarges the room. 15. Add a Gallery Wall Image Source: House Beautiful It might seem counterintuitive, but adding a gallery wall can actually make a small space feel bigger,if done right. A curated display of art, photos, or prints draws the eye upward and outward, giving the illusion of a larger area. Stick to cohesive frames and colors to maintain a clean, intentional look. You can go symmetrical for a polished feel or get creative with an organic, freeform layout. Position the gallery higher on the wall to elongate the space visually. Just be sure not to overcrowd,balance is key. A thoughtful gallery wall adds personality without cluttering the room. Finishing Notes: Creating a spacious feel in a small home doesn’t require a sledgehammer or a major remodel, it just takes a bit of strategy and smart design. From downsizing your dining table to letting natural light pour in, each tip we’ve shared is an easy, budget-friendly way to visually open up your space. If you’re looking for even more inspiration, layout ideas, or style guides, be sure to explore Home Designing. It’s packed with expert advice, modern interior trends, and visual walkthroughs to help you transform your space, big or small, into something that truly feels like home. #how #make #small #space #look
    WWW.HOME-DESIGNING.COM
    How Do I Make A Small Space Look Bigger Without Renovating
    Living in a small space doesn’t mean you have to feel cramped or boxed in. With the right design tricks, you can make even the tiniest room feel open, airy, and inviting, no renovation required. Whether you’re in a compact apartment, a small home, or just trying to make the most of a single room, smart styling and layout choices can dramatically shift how the space looks and feels. From strategic lighting and paint colors to furniture swaps and clever storage solutions, there are plenty of easy, affordable ways to stretch your square footage visually. Ready to transform your space? Here are some practical, design-savvy ideas to make your home feel bigger without tearing down a single wall. 1. Opt for Multi-Functional Furniture Image Source: House Beautiful In a small space, every piece of furniture should earn its keep. Look for multi-functional items: ottomans that open up for storage, beds with drawers underneath, or coffee tables that can extend or lift to become a desk. Not only do these pieces help reduce clutter, but they also free up floor space, making the room look more open. Bonus points for furniture that can be folded away when not in use. By choosing versatile pieces, you’re making the most of every inch without sacrificing style or comfort. 2. Keep Pathways Clear Image Source: The Spruce One of the simplest yet most effective ways to make a small space feel bigger is to keep pathways and walkways clear. When furniture or clutter blocks natural movement through a room, it can make the space feel cramped and chaotic. Take a walk through your home and notice where you’re dodging corners or squeezing between pieces,those are areas to rethink. Opt for smaller furniture with slim profiles, or rearrange what you have to create an easy, natural flow. Open walkways help your eyes move freely through the room, making everything feel more spacious, breathable, and intentional. It’s all about giving yourself room to move,literally and visually. 3. Use Glass and Lucite Furniture Image Source: The Spruce Transparent furniture made from glass or Lucite (acrylic) takes up less visual space because you can see right through it. A glass coffee table or clear dining chairs can provide functionality without cluttering up the view. These pieces practically disappear into the background, which helps the room feel more open. They also add a touch of modern sophistication. When you need furniture but don’t want it to dominate the room, going clear is a clever design choice. 4. Don’t Over-Clutter Your Space Image Source: House Beautiful In small spaces, clutter accumulates fast,and it visually shrinks your environment. The more items scattered around, the more cramped the room feels. Start by taking a critical look at what you own and asking: do I really need this here? Use storage bins, under-bed containers, or floating shelves to hide away what you don’t use daily. Keep surfaces like countertops, desks, and coffee tables as clear as possible. A minimal, clean setup allows the eye to rest and makes the space feel open and intentional. Remember: less stuff equals more space,both physically and mentally. 5. Utilize Your Windows Image Source: House Beautiful Windows are like built-in art that can also dramatically affect how big or small your space feels. Don’t cover them with heavy drapes or clutter them with too many objects on the sill. Keep window treatments light and minimal,sheer curtains or roller blinds are perfect. If privacy isn’t a big concern, consider leaving them bare. Letting natural light flood in through your windows instantly opens up your space and makes it feel brighter and more expansive. You can also place mirrors or shiny surfaces near windows to reflect more light into the room and maximize their impact. 6. Downsize Your Dining Table Image Source: House Beautiful A large dining table can dominate a small room, leaving little space to move or breathe. If you rarely entertain a big crowd, consider downsizing to a smaller round or drop-leaf table. These take up less visual and physical space and still offer enough room for daily meals. You can always keep a folding table or stackable chairs nearby for when guests do come over. Round tables are especially great for small spaces because they allow smoother traffic flow and eliminate awkward corners. Plus, a smaller table encourages intimacy during meals and helps the whole area feel more open and functional. 7. Use Mirrors Strategically Image Source: The Tiny Cottage Mirrors can work magic in a small room. They reflect both natural and artificial light, which can instantly make a space feel larger and brighter. A large mirror on a wall opposite a window can double the amount of light in your room. Mirrored furniture or decor elements like trays and picture frames also help. Think about using mirrored closet doors or even creating a mirror gallery wall. It’s not just about brightness; mirrors also create a sense of depth, tricking the eye into seeing more space than there actually is. 8. Install a Murphy Bed Image Source: House Beautiful A Murphy bed (also known as a wall bed) is a game-changer for anyone living in a tight space. It folds up into the wall or a cabinet when not in use, instantly transforming your bedroom into a living room, office, or workout area. This setup gives you the flexibility to have a multi-purpose room without sacrificing comfort. Modern Murphy beds often come with built-in shelves or desks, offering even more function without taking up extra space. If you want to reclaim your floor during the day and still get a good night’s sleep, this is one smart solution. 9. Paint It White Image Source: House Beautiful Painting your walls white is one of the easiest and most effective tricks to make a space feel bigger. White reflects light, helping the room feel open, clean, and fresh. It creates a seamless look, making walls seem to recede and ceilings feel higher. You can still have fun with the space, layer in texture, subtle patterns, or neutral accessories to keep it from feeling sterile. White also acts as a blank canvas, letting your furniture and art stand out. Whether you’re decorating a studio apartment or a small home office, a fresh coat of white paint can work wonders. 10. Prioritize Natural Light Image Source: The Spruce Natural light has an incredible ability to make any room feel more spacious and welcoming. To make the most of it, avoid blocking windows with bulky furniture or dark curtains. Consider using light-filtering shades or sheer curtains to let sunlight pour in while maintaining some privacy. Arrange mirrors or reflective surfaces like glossy tables and metallic decor to bounce the light around the room. Even placing furniture in a way that lets light flow freely can change how open your home feels. Natural light not only brightens your space but also boosts your mood, making it a double win. 11. Maximize Shelving Image Source: House Beautiful When floor space is limited, vertical storage becomes your best ally. Floating shelves, wall-mounted units, or tall bookcases draw the eye upward, creating a sense of height and maximizing every inch. They’re perfect for books, plants, artwork, or even kitchen supplies if you’re short on cabinets. You can also install corner shelves to use often-overlooked spots. Keep them tidy and curated,group items by color, size, or theme for a visually pleasing look. Shelving helps reduce clutter on the floor and tabletops, keeping your home organized and visually open without requiring any extra square footage. 12. Keep It Neutral Image Source: House Beautiful Neutral tones, like soft whites, light grays, warm beiges, and pale taupes,can make a space feel calm and cohesive. These colors reflect light well and reduce visual clutter, making your room appear larger. A neutral palette doesn’t mean boring; you can still play with textures, patterns, and accents within that color family. Add throw pillows, rugs, or wall art in layered neutrals for interest without overwhelming the space. When everything flows in similar tones, it creates continuity, which tricks the eye into seeing a more expansive area. It’s an effortless way to open up your home without lifting a hammer. 13. Choose Benches, Not Chairs Image Source: House Beautiful When space is tight, traditional dining chairs or bulky accent seats can eat up more room than they’re worth. Benches, on the other hand, are a sleek, versatile alternative. They tuck neatly under tables when not in use, saving valuable floor space and keeping walkways open. In entryways, living rooms, or at the foot of a bed, a bench offers seating and can double as storage or display. Some come with built-in compartments or open space beneath for baskets. Plus, benches visually declutter the room with their simple, low-profile design. 14. Use Vertical Spaces Image Source: The Spruce When you’re short on square footage, think vertical. Use tall bookshelves, wall-mounted shelves, and hanging storage to keep things off the floor. Vertical lines naturally draw the eye upward, which creates a feeling of height and openness. Consider mounting floating shelves for books, plants, or decorative items. Hooks and pegboards can add function without taking up space. Making use of your wall space not only maximizes storage but also frees up floor area, which visually enlarges the room. 15. Add a Gallery Wall Image Source: House Beautiful It might seem counterintuitive, but adding a gallery wall can actually make a small space feel bigger,if done right. A curated display of art, photos, or prints draws the eye upward and outward, giving the illusion of a larger area. Stick to cohesive frames and colors to maintain a clean, intentional look. You can go symmetrical for a polished feel or get creative with an organic, freeform layout. Position the gallery higher on the wall to elongate the space visually. Just be sure not to overcrowd,balance is key. A thoughtful gallery wall adds personality without cluttering the room. Finishing Notes: Creating a spacious feel in a small home doesn’t require a sledgehammer or a major remodel, it just takes a bit of strategy and smart design. From downsizing your dining table to letting natural light pour in, each tip we’ve shared is an easy, budget-friendly way to visually open up your space. If you’re looking for even more inspiration, layout ideas, or style guides, be sure to explore Home Designing. It’s packed with expert advice, modern interior trends, and visual walkthroughs to help you transform your space, big or small, into something that truly feels like home.
    0 Yorumlar 0 hisse senetleri