• Hey, amazing friends! Have you ever wandered through Wuchang: Fallen Feathers and stumbled across the enchanting 'Faces of the Past'? These magical locations, surrounded by sparkly blue mist, are not just beautiful sights; they invite you to unlock hidden treasures through simple gesture puzzles!

    Every interaction is a chance to embrace your inner explorer and discover delightful rewards. So, let’s dive into this adventure together! Remember, each gesture you perform is a step towards unearthing the incredible stories waiting for you!

    Stay curious and keep smiling, because the journey is just as important as the destination!

    #WuchangFallenFeathers #FacesOfThe
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  • Hey, amazing people! Did you hear the incredible news about the crossover between the Magic card game and Final Fantasy? This collaboration is not just a blast from the past; it’s making waves and bringing in impressive rewards! Who said that Final Fantasy isn't still a powerhouse? Together, these two iconic franchises are proving that magic can happen when we combine our passions!

    Let this inspire you to embrace collaboration in your own life. Whether it’s in gaming, work, or friendships, remember that the best creations often come from joining forces! Keep shining, and let’s celebrate the magic around us!

    #MagicTheGathering #FinalFantasy #GamingNews #Coll
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  • In a world where creativity should be celebrated, the news of Virtuos laying off 300 talented individuals after the success of Oblivion Remastered cuts deep. It’s heartbreaking to witness the very hands that crafted beauty and nostalgia being cast aside, as if their passions meant nothing. The thrill of creating something monumental is overshadowed by the harsh reality of an industry that often rewards effort with loss.

    We pour our souls into games, only to feel the emptiness of abandonment when the credits roll. This isn't just about numbers; it’s about dreams shattered and lives disrupted. In a time when connection is needed the most, we’re left to grapple with the silence of an empty studio.

    #Virtuos #OblivionRemastered
    In a world where creativity should be celebrated, the news of Virtuos laying off 300 talented individuals after the success of Oblivion Remastered cuts deep. 💔 It’s heartbreaking to witness the very hands that crafted beauty and nostalgia being cast aside, as if their passions meant nothing. The thrill of creating something monumental is overshadowed by the harsh reality of an industry that often rewards effort with loss. We pour our souls into games, only to feel the emptiness of abandonment when the credits roll. This isn't just about numbers; it’s about dreams shattered and lives disrupted. In a time when connection is needed the most, we’re left to grapple with the silence of an empty studio. #Virtuos #OblivionRemastered
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  • In a world that once felt vibrant, the news of Persona 5: The Phantom X accelerating its story content feels like a cruel twist of fate. With the rushed rollout, the promise of deeper connections fades, replaced by the hollow echo of disappointment. What was once a journey filled with hope and excitement is now overshadowed by a constant struggle for better rewards that never come. The joy of discovery has turned into a bittersweet reminder of what could have been. Alone in this digital realm, I find myself yearning for the days when the experience felt genuine and rewarding. The weight of this letdown sits heavy on my heart.

    #Persona5 #GachaGames #GamingDisappointment #PhantomX #Heartbreak
    In a world that once felt vibrant, the news of Persona 5: The Phantom X accelerating its story content feels like a cruel twist of fate. 💔 With the rushed rollout, the promise of deeper connections fades, replaced by the hollow echo of disappointment. What was once a journey filled with hope and excitement is now overshadowed by a constant struggle for better rewards that never come. The joy of discovery has turned into a bittersweet reminder of what could have been. Alone in this digital realm, I find myself yearning for the days when the experience felt genuine and rewarding. The weight of this letdown sits heavy on my heart. 😞 #Persona5 #GachaGames #GamingDisappointment #PhantomX #Heartbreak
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  • Hey everyone! Let's dive into something truly fascinating today: PVA filament! You might have heard about this unique type of filament that works wonders with any FDM printer. But wait, it’s not always what it seems!

    When we first encounter PVA filament, we might think of it as just another option in our 3D printing toolbox. However, it holds secrets that can truly elevate our creations! PVA, or Polyvinyl Alcohol, is not just a filament; it’s a game-changer! It’s known for its ability to dissolve in water, which opens up a world of possibilities for our projects. Imagine creating intricate designs with support structures that simply vanish, leaving behind only the masterpiece you envisioned! Isn’t that incredible?

    One of the most inspiring aspects of using PVA filament is the encouragement it gives us to push our creative boundaries. Sometimes, we face challenges in our projects, but with PVA, we can experiment without fear! If something doesn’t turn out as planned, we can simply dissolve those support structures and start anew. This teaches us resilience and the importance of embracing our creative journey!

    Moreover, working with PVA filament encourages collaboration and innovation in the 3D printing community. It inspires us to share our experiences, tips, and techniques with one another. Just think about all the amazing designs that have emerged because of this wonderful filament! Each creation tells a story of creativity, perseverance, and teamwork!

    Now, I know what some of you might be thinking: “Isn’t PVA filament tricky to work with?” While it does come with its challenges, like maintaining the right printing conditions and ensuring proper storage to avoid moisture, the rewards are absolutely worth it! With a little practice and patience, we can master this filament and unlock its full potential. Remember, every challenge is an opportunity for growth!

    So, let’s embrace the journey of using PVA filament! Let’s encourage one another to try new techniques, share our successes, and learn from our experiences. Together, we can create a community that celebrates creativity and innovation in 3D printing!

    Let’s keep inspiring each other to create, explore, and conquer new heights in our 3D printing adventures! Who’s with me?

    #PVAFilament #3DPrinting #CreativityUnleashed #Innovation #CommunitySpirit
    🌟 Hey everyone! Let's dive into something truly fascinating today: PVA filament! 🎉 You might have heard about this unique type of filament that works wonders with any FDM printer. 🌈 But wait, it’s not always what it seems! 💧 When we first encounter PVA filament, we might think of it as just another option in our 3D printing toolbox. However, it holds secrets that can truly elevate our creations! 🌟 PVA, or Polyvinyl Alcohol, is not just a filament; it’s a game-changer! It’s known for its ability to dissolve in water, which opens up a world of possibilities for our projects. 🛠️ Imagine creating intricate designs with support structures that simply vanish, leaving behind only the masterpiece you envisioned! 🌊 Isn’t that incredible? One of the most inspiring aspects of using PVA filament is the encouragement it gives us to push our creative boundaries. 🎨✨ Sometimes, we face challenges in our projects, but with PVA, we can experiment without fear! If something doesn’t turn out as planned, we can simply dissolve those support structures and start anew. This teaches us resilience and the importance of embracing our creative journey! 🌻 Moreover, working with PVA filament encourages collaboration and innovation in the 3D printing community. 🤝✨ It inspires us to share our experiences, tips, and techniques with one another. Just think about all the amazing designs that have emerged because of this wonderful filament! Each creation tells a story of creativity, perseverance, and teamwork! 🥳 Now, I know what some of you might be thinking: “Isn’t PVA filament tricky to work with?” 🤔 While it does come with its challenges, like maintaining the right printing conditions and ensuring proper storage to avoid moisture, the rewards are absolutely worth it! 🎯 With a little practice and patience, we can master this filament and unlock its full potential. Remember, every challenge is an opportunity for growth! 🌱 So, let’s embrace the journey of using PVA filament! Let’s encourage one another to try new techniques, share our successes, and learn from our experiences. 🌟 Together, we can create a community that celebrates creativity and innovation in 3D printing! 🌍💖 Let’s keep inspiring each other to create, explore, and conquer new heights in our 3D printing adventures! Who’s with me? 🙌🎉 #PVAFilament #3DPrinting #CreativityUnleashed #Innovation #CommunitySpirit
    PVA Filament: Not Always What it Seems
    PVA filament is an interesting filament type, for the reason that while it can be printed with any FDM printer, it supposedly readily dissolves in water, which is also the …read more
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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
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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 (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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  • How to choose a programmatic video advertising platform: 8 considerations

    Whether you’re an advertiser or a publisher, partnering up with the right programmatic video advertising platform is one of the most important business decisions you can make. More than half of U.S. marketing budgets are now devoted to programmatically purchased media, and there’s no indication that trend will reverse any time soon.Everybody wants to find the solution that’s best for their bottom line. However, the specific considerations that should go into choosing the right video programmatic advertising solution differ depending on whether you have supply to sell or are looking for an audience for your advertisements. This article will break down key factors for both mobile advertisers and mobile publishers to keep in mind as they search for a programmatic video advertising platform.Before we get into the specifics on either end, let’s recap the basic concepts.What is a programmatic video advertising platform?A programmatic video advertising platform combines tools, processes, and marketplaces to place video ads from advertising partners in ad placements furnished by publishing partners. The “programmatic” part of the term means that it’s all done procedurally via automated tools, integrating with demand side platforms and supply side platforms to allow advertising placements to be bid upon, selected, and displayed in fractions of a second.If a mobile game has ever offered you extra rewards for watching a video and you found yourself watching an ad for a related game a split second later, you’ve likely been on the user side of an advertising programmatic transaction. Now let’s take a look at what considerations make for the ideal programmatic video advertising platform for the other two main parties involved.4 points to help advertisers choose the best programmatic platformLooking for the best way to leverage your video demand side platform? These are four key points for advertisers to consider when trying to find the right programmatic video advertising platform.A large, engaged audienceOne of the most important things a programmatic video advertising platform can do for advertisers is put their creative content in front of as many people as possible. However, it’s not enough to just pass your content in front of the most eyeballs. It’s equally important for the platform to give you access to engaged audiences who are more likely to convert so you can make the most of your advertising dollar.Full-screen videos to grab attentionYou need every advantage you can get when you’re grappling for the attention of a busy mobile user. Your video demand side platform should prioritize full-screen takeovers when and where they make sense, making sure your content isn’t just playing unnoticed on the far side of the screen.A range of ad options that are easy to testYour video programmatic advertising partner should be able to offer a broad variety of creative and placement options, including interstitial and rewarded ads. It should also enable you to test, iterate, and optimize ads as soon as they’re put into rotation, ensuring your ad spend is meeting your targets and allowing for fast and flexible changes if needed.Simple access to supplyEven the most powerful programmatic video advertising platform is no good if it’s impractical to get running. Look for partners that allows instant access to supply through tried-and-true platforms like Google Display & Video 360, Magnite, and others. On top of that, you should seek out a private exchange to ensure access to premium inventory.4 points for publishers in search of the best programmatic platformYou work hard to make the best apps for your users, and you deserve to partner up with a programmatic video advertising platform that works hard too. Serving video ads that both keep users engaged and your profits rising can be a tricky needle to thread, but the right platform should make your part of the process simple and effective.A large selection of advertisersEncountering the same ads over and over again can get old fast — and diminish engagement. On top of that, a small selection of advertisers means fewer chances for your users to connect with an ad and convert — which means less revenue, too. The ideal programmatic video advertising platform will partner with thousands of advertisers to fill your placements with fresh, engaging content.Rewarded videos and offerwallsInterstitial video ads aren’t likely to disappear any time soon, but players strongly prefer other means of advertisement. In fact, 76% of US mobile gamers say they prefer rewarded videos over interstitial ads. Giving players the choice of when to watch ads, with the inducement of in-game rewards, can be very powerful — and an offerwall is another powerful way to put the ball in your player’s court.Easy supply-side SDK integrationThe time your developers spend integrating a new video programmatic advertising solution into your apps is time they could have spent making those apps more engaging for users. While any backend adjustment will naturally take some time to implement, your new programmatic partner should offer a powerful, industry-standard SDK to make the process fast and non-disruptive.Support for programmatic mediationMediators such as LevelPlay by ironSource automatically prioritize ad demand from multiple third-party networks, optimizing your cash flow and reducing work on your end. Your programmatic video advertising platform should seamlessly integrate with mediators to make the most of each ad placement, every time.Pick a powerful programmatic partnerThankfully, advertisers and publishers alike can choose one solution that checks all the above boxes and more. For advertisers, the ironSource Programmatic Marketplace will connect you with targeted audiences in thousands of apps that gel with your brand. For publishers, ironSource’s marketplace means a massive selection of ads that your users and your bottom line will love.
    #how #choose #programmatic #video #advertising
    How to choose a programmatic video advertising platform: 8 considerations
    Whether you’re an advertiser or a publisher, partnering up with the right programmatic video advertising platform is one of the most important business decisions you can make. More than half of U.S. marketing budgets are now devoted to programmatically purchased media, and there’s no indication that trend will reverse any time soon.Everybody wants to find the solution that’s best for their bottom line. However, the specific considerations that should go into choosing the right video programmatic advertising solution differ depending on whether you have supply to sell or are looking for an audience for your advertisements. This article will break down key factors for both mobile advertisers and mobile publishers to keep in mind as they search for a programmatic video advertising platform.Before we get into the specifics on either end, let’s recap the basic concepts.What is a programmatic video advertising platform?A programmatic video advertising platform combines tools, processes, and marketplaces to place video ads from advertising partners in ad placements furnished by publishing partners. The “programmatic” part of the term means that it’s all done procedurally via automated tools, integrating with demand side platforms and supply side platforms to allow advertising placements to be bid upon, selected, and displayed in fractions of a second.If a mobile game has ever offered you extra rewards for watching a video and you found yourself watching an ad for a related game a split second later, you’ve likely been on the user side of an advertising programmatic transaction. Now let’s take a look at what considerations make for the ideal programmatic video advertising platform for the other two main parties involved.4 points to help advertisers choose the best programmatic platformLooking for the best way to leverage your video demand side platform? These are four key points for advertisers to consider when trying to find the right programmatic video advertising platform.A large, engaged audienceOne of the most important things a programmatic video advertising platform can do for advertisers is put their creative content in front of as many people as possible. However, it’s not enough to just pass your content in front of the most eyeballs. It’s equally important for the platform to give you access to engaged audiences who are more likely to convert so you can make the most of your advertising dollar.Full-screen videos to grab attentionYou need every advantage you can get when you’re grappling for the attention of a busy mobile user. Your video demand side platform should prioritize full-screen takeovers when and where they make sense, making sure your content isn’t just playing unnoticed on the far side of the screen.A range of ad options that are easy to testYour video programmatic advertising partner should be able to offer a broad variety of creative and placement options, including interstitial and rewarded ads. It should also enable you to test, iterate, and optimize ads as soon as they’re put into rotation, ensuring your ad spend is meeting your targets and allowing for fast and flexible changes if needed.Simple access to supplyEven the most powerful programmatic video advertising platform is no good if it’s impractical to get running. Look for partners that allows instant access to supply through tried-and-true platforms like Google Display & Video 360, Magnite, and others. On top of that, you should seek out a private exchange to ensure access to premium inventory.4 points for publishers in search of the best programmatic platformYou work hard to make the best apps for your users, and you deserve to partner up with a programmatic video advertising platform that works hard too. Serving video ads that both keep users engaged and your profits rising can be a tricky needle to thread, but the right platform should make your part of the process simple and effective.A large selection of advertisersEncountering the same ads over and over again can get old fast — and diminish engagement. On top of that, a small selection of advertisers means fewer chances for your users to connect with an ad and convert — which means less revenue, too. The ideal programmatic video advertising platform will partner with thousands of advertisers to fill your placements with fresh, engaging content.Rewarded videos and offerwallsInterstitial video ads aren’t likely to disappear any time soon, but players strongly prefer other means of advertisement. In fact, 76% of US mobile gamers say they prefer rewarded videos over interstitial ads. Giving players the choice of when to watch ads, with the inducement of in-game rewards, can be very powerful — and an offerwall is another powerful way to put the ball in your player’s court.Easy supply-side SDK integrationThe time your developers spend integrating a new video programmatic advertising solution into your apps is time they could have spent making those apps more engaging for users. While any backend adjustment will naturally take some time to implement, your new programmatic partner should offer a powerful, industry-standard SDK to make the process fast and non-disruptive.Support for programmatic mediationMediators such as LevelPlay by ironSource automatically prioritize ad demand from multiple third-party networks, optimizing your cash flow and reducing work on your end. Your programmatic video advertising platform should seamlessly integrate with mediators to make the most of each ad placement, every time.Pick a powerful programmatic partnerThankfully, advertisers and publishers alike can choose one solution that checks all the above boxes and more. For advertisers, the ironSource Programmatic Marketplace will connect you with targeted audiences in thousands of apps that gel with your brand. For publishers, ironSource’s marketplace means a massive selection of ads that your users and your bottom line will love. #how #choose #programmatic #video #advertising
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    How to choose a programmatic video advertising platform: 8 considerations
    Whether you’re an advertiser or a publisher, partnering up with the right programmatic video advertising platform is one of the most important business decisions you can make. More than half of U.S. marketing budgets are now devoted to programmatically purchased media, and there’s no indication that trend will reverse any time soon.Everybody wants to find the solution that’s best for their bottom line. However, the specific considerations that should go into choosing the right video programmatic advertising solution differ depending on whether you have supply to sell or are looking for an audience for your advertisements. This article will break down key factors for both mobile advertisers and mobile publishers to keep in mind as they search for a programmatic video advertising platform.Before we get into the specifics on either end, let’s recap the basic concepts.What is a programmatic video advertising platform?A programmatic video advertising platform combines tools, processes, and marketplaces to place video ads from advertising partners in ad placements furnished by publishing partners. The “programmatic” part of the term means that it’s all done procedurally via automated tools, integrating with demand side platforms and supply side platforms to allow advertising placements to be bid upon, selected, and displayed in fractions of a second.If a mobile game has ever offered you extra rewards for watching a video and you found yourself watching an ad for a related game a split second later, you’ve likely been on the user side of an advertising programmatic transaction. Now let’s take a look at what considerations make for the ideal programmatic video advertising platform for the other two main parties involved.4 points to help advertisers choose the best programmatic platformLooking for the best way to leverage your video demand side platform? These are four key points for advertisers to consider when trying to find the right programmatic video advertising platform.A large, engaged audienceOne of the most important things a programmatic video advertising platform can do for advertisers is put their creative content in front of as many people as possible. However, it’s not enough to just pass your content in front of the most eyeballs. It’s equally important for the platform to give you access to engaged audiences who are more likely to convert so you can make the most of your advertising dollar.Full-screen videos to grab attentionYou need every advantage you can get when you’re grappling for the attention of a busy mobile user. Your video demand side platform should prioritize full-screen takeovers when and where they make sense, making sure your content isn’t just playing unnoticed on the far side of the screen.A range of ad options that are easy to testYour video programmatic advertising partner should be able to offer a broad variety of creative and placement options, including interstitial and rewarded ads. It should also enable you to test, iterate, and optimize ads as soon as they’re put into rotation, ensuring your ad spend is meeting your targets and allowing for fast and flexible changes if needed.Simple access to supplyEven the most powerful programmatic video advertising platform is no good if it’s impractical to get running. Look for partners that allows instant access to supply through tried-and-true platforms like Google Display & Video 360, Magnite, and others. On top of that, you should seek out a private exchange to ensure access to premium inventory.4 points for publishers in search of the best programmatic platformYou work hard to make the best apps for your users, and you deserve to partner up with a programmatic video advertising platform that works hard too. Serving video ads that both keep users engaged and your profits rising can be a tricky needle to thread, but the right platform should make your part of the process simple and effective.A large selection of advertisersEncountering the same ads over and over again can get old fast — and diminish engagement. On top of that, a small selection of advertisers means fewer chances for your users to connect with an ad and convert — which means less revenue, too. The ideal programmatic video advertising platform will partner with thousands of advertisers to fill your placements with fresh, engaging content.Rewarded videos and offerwallsInterstitial video ads aren’t likely to disappear any time soon, but players strongly prefer other means of advertisement. In fact, 76% of US mobile gamers say they prefer rewarded videos over interstitial ads. Giving players the choice of when to watch ads, with the inducement of in-game rewards, can be very powerful — and an offerwall is another powerful way to put the ball in your player’s court.Easy supply-side SDK integrationThe time your developers spend integrating a new video programmatic advertising solution into your apps is time they could have spent making those apps more engaging for users. While any backend adjustment will naturally take some time to implement, your new programmatic partner should offer a powerful, industry-standard SDK to make the process fast and non-disruptive.Support for programmatic mediationMediators such as LevelPlay by ironSource automatically prioritize ad demand from multiple third-party networks, optimizing your cash flow and reducing work on your end. Your programmatic video advertising platform should seamlessly integrate with mediators to make the most of each ad placement, every time.Pick a powerful programmatic partnerThankfully, advertisers and publishers alike can choose one solution that checks all the above boxes and more. For advertisers, the ironSource Programmatic Marketplace will connect you with targeted audiences in thousands of apps that gel with your brand. For publishers, ironSource’s marketplace means a massive selection of ads that your users and your bottom line will love.
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  • Making a killing: The playful 2D terror of Psycasso®

    A serial killer is stalking the streets, and his murders are a work of art. That’s more or less the premise behind Psycasso®, a tongue-in-cheek 2D pixel art game from Omni Digital Technologies that’s debuting a demo at Steam Next Fest this week, with plans to head into Early Access later this year. Playing as the killer, you get a job and build a life by day, then hunt the streets by night to find and torture victims, paint masterpieces with their blood, then sell them to fund operations.I sat down with lead developer Benjamin Lavender and Omni, designer and producer, to talk about this playfully gory game that gives a classic retro style and a freshtwist.Let’s start with a bit of background about the game.Omni: We wanted to make something that stands out. We know a lot of indie studios are releasing games and the market is ever growing, so we wanted to make something that’s not just fun to play, but catches people’s attention when others tell them about it. We’ve created an open-world pixel art game about an artist who spends his day getting a job, trying to fit into society. Then at nighttime, things take a more sinister turn and he goes around and makes artwork out of his victim's blood.We didn’t want to make it creepy and gory. We kind of wanted it to be cutesy and fun, just to make it ironic. Making it was a big challenge. We basically had to create an entire city with functioning shops and NPCs who have their own lives, their own hobbies. It was a huge challenge.So what does the actual gameplay look like?Omni: There’s a day cycle and a night cycle that breaks up the gameplay. During the day, you can get a job, level up skills, buy properties and furniture upgrades. At nighttime, the lighting completely changes, the vibe completely changes, there’s police on the street and the flow of the game shifts. The idea is that you can kidnap NPCs using a whole bunch of different weapons – guns, throwable grenades, little traps and cool stuff that you can capture people with.Once captured on the street, you can either harvest their blood and body parts there, or buy a specialist room to keep them in a cage and put them in various equipment like hanging chains or torture chairs. The player gets better rewards for harvesting blood and body parts this way.On the flip side, there’s a whole other element to the game where the player is given missions each week from galleries around the city. They come up on your phone menu, and you can accept them and do either portrait or landscape paintings, with all of the painting being done using only shades of red. We've got some nice drip effects and splat sounds to make it feel like you’re painting with blood. Then you can give your creation a name, submit it to a gallery, then it goes into a fake auction, people will bid on the artwork and you get paid and large amount of in-game money so you can then buy upgrades for the home, upgrade painting tools like bigger paint brushes, more selection tools, stuff like that.Ben: There’s definitely nothing like it. And that was the aim, is when you are telling people about it, they’re like, “Oh, okay. Right. We’re not going to forget about this.”

    Let’s dig into the 2D tools you used to create this world.Ben: It’s using the 2D Renderer. The Happy Harvest 2D sample project that you guys made was kind of a big starting point, from a lighting perspective, and doing the normal maps of the 2D and getting the lighting to look nice. Our night system is a very stripped-down, then added-on version of the thing that you guys made. I was particularly interested by its shadows. The building’s shadows aren’t actually shadows – it’s a black light. We tried to recreate that with all of our buildings in the entire open world – so it does look beautiful for a 2D game, if I do say so myself.Can you say a bit about how you’re using AI or procedural generation in NPCs?Ben: I don’t know how many actually made it into the demo to be fair, number-wise. Every single NPC has a unique identity, as in they all have a place of work that they go to on a regular schedule. They have hobbies, they have spots where they prefer to loiter, a park bench or whatever. So you can get to know everyone’s individual lifestyle.So, the old man that lives in the same building as me might love to go to the casino at nighttime or go consistently on a Monday and a Friday, that kind of vibe.It uses the A* Pathfinding Project, because we knew we wanted to have a lot of AIs. We’ve locked off most of the city for the demo, but the actual size of the city is huge. The police mechanics are currently turned off, but there’s 80% police mechanics in there as well. If you punch someone or hurt someone, that’s a crime, and if anyone sees it, they can go and report to the police and then things happen. That’s a feature that’s there but not demo-ready yet.How close would you say you are to a full release?Omni: We should be scheduled for October for early access. By that point we’ll have the stealth mechanics and the policing systems polished and in and get some of the other upcoming features buttoned up. We’re fairly close.Ben: Lots of it’s already done, it’s just turned off for the demo. We don’t want to overwhelm people because there’s just so much for the player to do.Tell me a bit about the paint mechanics – how did you build that?Ben: It is custom. We built it ourselves completely from scratch. But I can't take responsibility for that one – someone else did the whole thing – that was their baby. It is really, really cool though.Omni: It’s got a variety of masking tools, the ability to change opacity and spacing, you can undo, redo. It’s a really fantastic feature that gives people the opportunity to express themselves and make some great art.Ben: And it's gamified, so it doesn’t feel like you’ve just opened up Paint in Windows.Omni: Best of all is when you make a painting, it gets turned into an inventory item so you physically carry it around with you and can sell it or treasure it.What’s the most exciting part of Psycasso for you?Omni: Stunning graphics. I think graphically, it looks really pretty.Ben: Visually, you could look at it and go, “Oh, that’s Psycasso.”Omni: What we’ve done is taken a cozy retro-style game, and we’ve brought modern design, logic, and technology into it. So you're playing what feels like a nostalgic game, but you're getting the experience of a much newer project.Check out the Psycasso demo on Steam, and stay tuned for more NextFest coverage.
    #making #killing #playful #terror #psycasso
    Making a killing: The playful 2D terror of Psycasso®
    A serial killer is stalking the streets, and his murders are a work of art. That’s more or less the premise behind Psycasso®, a tongue-in-cheek 2D pixel art game from Omni Digital Technologies that’s debuting a demo at Steam Next Fest this week, with plans to head into Early Access later this year. Playing as the killer, you get a job and build a life by day, then hunt the streets by night to find and torture victims, paint masterpieces with their blood, then sell them to fund operations.I sat down with lead developer Benjamin Lavender and Omni, designer and producer, to talk about this playfully gory game that gives a classic retro style and a freshtwist.Let’s start with a bit of background about the game.Omni: We wanted to make something that stands out. We know a lot of indie studios are releasing games and the market is ever growing, so we wanted to make something that’s not just fun to play, but catches people’s attention when others tell them about it. We’ve created an open-world pixel art game about an artist who spends his day getting a job, trying to fit into society. Then at nighttime, things take a more sinister turn and he goes around and makes artwork out of his victim's blood.We didn’t want to make it creepy and gory. We kind of wanted it to be cutesy and fun, just to make it ironic. Making it was a big challenge. We basically had to create an entire city with functioning shops and NPCs who have their own lives, their own hobbies. It was a huge challenge.So what does the actual gameplay look like?Omni: There’s a day cycle and a night cycle that breaks up the gameplay. During the day, you can get a job, level up skills, buy properties and furniture upgrades. At nighttime, the lighting completely changes, the vibe completely changes, there’s police on the street and the flow of the game shifts. The idea is that you can kidnap NPCs using a whole bunch of different weapons – guns, throwable grenades, little traps and cool stuff that you can capture people with.Once captured on the street, you can either harvest their blood and body parts there, or buy a specialist room to keep them in a cage and put them in various equipment like hanging chains or torture chairs. The player gets better rewards for harvesting blood and body parts this way.On the flip side, there’s a whole other element to the game where the player is given missions each week from galleries around the city. They come up on your phone menu, and you can accept them and do either portrait or landscape paintings, with all of the painting being done using only shades of red. We've got some nice drip effects and splat sounds to make it feel like you’re painting with blood. Then you can give your creation a name, submit it to a gallery, then it goes into a fake auction, people will bid on the artwork and you get paid and large amount of in-game money so you can then buy upgrades for the home, upgrade painting tools like bigger paint brushes, more selection tools, stuff like that.Ben: There’s definitely nothing like it. And that was the aim, is when you are telling people about it, they’re like, “Oh, okay. Right. We’re not going to forget about this.” Let’s dig into the 2D tools you used to create this world.Ben: It’s using the 2D Renderer. The Happy Harvest 2D sample project that you guys made was kind of a big starting point, from a lighting perspective, and doing the normal maps of the 2D and getting the lighting to look nice. Our night system is a very stripped-down, then added-on version of the thing that you guys made. I was particularly interested by its shadows. The building’s shadows aren’t actually shadows – it’s a black light. We tried to recreate that with all of our buildings in the entire open world – so it does look beautiful for a 2D game, if I do say so myself.Can you say a bit about how you’re using AI or procedural generation in NPCs?Ben: I don’t know how many actually made it into the demo to be fair, number-wise. Every single NPC has a unique identity, as in they all have a place of work that they go to on a regular schedule. They have hobbies, they have spots where they prefer to loiter, a park bench or whatever. So you can get to know everyone’s individual lifestyle.So, the old man that lives in the same building as me might love to go to the casino at nighttime or go consistently on a Monday and a Friday, that kind of vibe.It uses the A* Pathfinding Project, because we knew we wanted to have a lot of AIs. We’ve locked off most of the city for the demo, but the actual size of the city is huge. The police mechanics are currently turned off, but there’s 80% police mechanics in there as well. If you punch someone or hurt someone, that’s a crime, and if anyone sees it, they can go and report to the police and then things happen. That’s a feature that’s there but not demo-ready yet.How close would you say you are to a full release?Omni: We should be scheduled for October for early access. By that point we’ll have the stealth mechanics and the policing systems polished and in and get some of the other upcoming features buttoned up. We’re fairly close.Ben: Lots of it’s already done, it’s just turned off for the demo. We don’t want to overwhelm people because there’s just so much for the player to do.Tell me a bit about the paint mechanics – how did you build that?Ben: It is custom. We built it ourselves completely from scratch. But I can't take responsibility for that one – someone else did the whole thing – that was their baby. It is really, really cool though.Omni: It’s got a variety of masking tools, the ability to change opacity and spacing, you can undo, redo. It’s a really fantastic feature that gives people the opportunity to express themselves and make some great art.Ben: And it's gamified, so it doesn’t feel like you’ve just opened up Paint in Windows.Omni: Best of all is when you make a painting, it gets turned into an inventory item so you physically carry it around with you and can sell it or treasure it.What’s the most exciting part of Psycasso for you?Omni: Stunning graphics. I think graphically, it looks really pretty.Ben: Visually, you could look at it and go, “Oh, that’s Psycasso.”Omni: What we’ve done is taken a cozy retro-style game, and we’ve brought modern design, logic, and technology into it. So you're playing what feels like a nostalgic game, but you're getting the experience of a much newer project.Check out the Psycasso demo on Steam, and stay tuned for more NextFest coverage. #making #killing #playful #terror #psycasso
    UNITY.COM
    Making a killing: The playful 2D terror of Psycasso®
    A serial killer is stalking the streets, and his murders are a work of art. That’s more or less the premise behind Psycasso®, a tongue-in-cheek 2D pixel art game from Omni Digital Technologies that’s debuting a demo at Steam Next Fest this week, with plans to head into Early Access later this year. Playing as the killer, you get a job and build a life by day, then hunt the streets by night to find and torture victims, paint masterpieces with their blood, then sell them to fund operations.I sat down with lead developer Benjamin Lavender and Omni, designer and producer, to talk about this playfully gory game that gives a classic retro style and a fresh (if gruesome) twist.Let’s start with a bit of background about the game.Omni: We wanted to make something that stands out. We know a lot of indie studios are releasing games and the market is ever growing, so we wanted to make something that’s not just fun to play, but catches people’s attention when others tell them about it. We’ve created an open-world pixel art game about an artist who spends his day getting a job, trying to fit into society. Then at nighttime, things take a more sinister turn and he goes around and makes artwork out of his victim's blood.We didn’t want to make it creepy and gory. We kind of wanted it to be cutesy and fun, just to make it ironic. Making it was a big challenge. We basically had to create an entire city with functioning shops and NPCs who have their own lives, their own hobbies. It was a huge challenge.So what does the actual gameplay look like?Omni: There’s a day cycle and a night cycle that breaks up the gameplay. During the day, you can get a job, level up skills, buy properties and furniture upgrades. At nighttime, the lighting completely changes, the vibe completely changes, there’s police on the street and the flow of the game shifts. The idea is that you can kidnap NPCs using a whole bunch of different weapons – guns, throwable grenades, little traps and cool stuff that you can capture people with.Once captured on the street, you can either harvest their blood and body parts there, or buy a specialist room to keep them in a cage and put them in various equipment like hanging chains or torture chairs. The player gets better rewards for harvesting blood and body parts this way.On the flip side, there’s a whole other element to the game where the player is given missions each week from galleries around the city. They come up on your phone menu, and you can accept them and do either portrait or landscape paintings, with all of the painting being done using only shades of red. We've got some nice drip effects and splat sounds to make it feel like you’re painting with blood. Then you can give your creation a name, submit it to a gallery, then it goes into a fake auction, people will bid on the artwork and you get paid and large amount of in-game money so you can then buy upgrades for the home, upgrade painting tools like bigger paint brushes, more selection tools, stuff like that.Ben: There’s definitely nothing like it. And that was the aim, is when you are telling people about it, they’re like, “Oh, okay. Right. We’re not going to forget about this.” Let’s dig into the 2D tools you used to create this world.Ben: It’s using the 2D Renderer. The Happy Harvest 2D sample project that you guys made was kind of a big starting point, from a lighting perspective, and doing the normal maps of the 2D and getting the lighting to look nice. Our night system is a very stripped-down, then added-on version of the thing that you guys made. I was particularly interested by its shadows. The building’s shadows aren’t actually shadows – it’s a black light. We tried to recreate that with all of our buildings in the entire open world – so it does look beautiful for a 2D game, if I do say so myself.Can you say a bit about how you’re using AI or procedural generation in NPCs?Ben: I don’t know how many actually made it into the demo to be fair, number-wise. Every single NPC has a unique identity, as in they all have a place of work that they go to on a regular schedule. They have hobbies, they have spots where they prefer to loiter, a park bench or whatever. So you can get to know everyone’s individual lifestyle.So, the old man that lives in the same building as me might love to go to the casino at nighttime or go consistently on a Monday and a Friday, that kind of vibe.It uses the A* Pathfinding Project, because we knew we wanted to have a lot of AIs. We’ve locked off most of the city for the demo, but the actual size of the city is huge. The police mechanics are currently turned off, but there’s 80% police mechanics in there as well. If you punch someone or hurt someone, that’s a crime, and if anyone sees it, they can go and report to the police and then things happen. That’s a feature that’s there but not demo-ready yet.How close would you say you are to a full release?Omni: We should be scheduled for October for early access. By that point we’ll have the stealth mechanics and the policing systems polished and in and get some of the other upcoming features buttoned up. We’re fairly close.Ben: Lots of it’s already done, it’s just turned off for the demo. We don’t want to overwhelm people because there’s just so much for the player to do.Tell me a bit about the paint mechanics – how did you build that?Ben: It is custom. We built it ourselves completely from scratch. But I can't take responsibility for that one – someone else did the whole thing – that was their baby. It is really, really cool though.Omni: It’s got a variety of masking tools, the ability to change opacity and spacing, you can undo, redo. It’s a really fantastic feature that gives people the opportunity to express themselves and make some great art.Ben: And it's gamified, so it doesn’t feel like you’ve just opened up Paint in Windows.Omni: Best of all is when you make a painting, it gets turned into an inventory item so you physically carry it around with you and can sell it or treasure it.What’s the most exciting part of Psycasso for you?Omni: Stunning graphics. I think graphically, it looks really pretty.Ben: Visually, you could look at it and go, “Oh, that’s Psycasso.”Omni: What we’ve done is taken a cozy retro-style game, and we’ve brought modern design, logic, and technology into it. So you're playing what feels like a nostalgic game, but you're getting the experience of a much newer project.Check out the Psycasso demo on Steam, and stay tuned for more NextFest coverage.
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