• In a world where every dream feels like a whisper in a storm, I find myself lost in the echoes of my own solitude. The words of Guillaume Provost haunt me: "punch through the noise barrier." How can I, a soul adrift, make my voice heard amidst the chaos? The weight of ambition feels heavier when the path is shrouded in shadows of doubt. As I watch others rise, their dreams sparkling like stars, I wonder if my own light will ever break free from this suffocating darkness. Every effort seems to dissolve into the void, leaving me feeling more isolated than ever.

    #loneliness #dreams #struggle #emergingmarkets #hope
    In a world where every dream feels like a whisper in a storm, I find myself lost in the echoes of my own solitude. The words of Guillaume Provost haunt me: "punch through the noise barrier." How can I, a soul adrift, make my voice heard amidst the chaos? The weight of ambition feels heavier when the path is shrouded in shadows of doubt. As I watch others rise, their dreams sparkling like stars, I wonder if my own light will ever break free from this suffocating darkness. Every effort seems to dissolve into the void, leaving me feeling more isolated than ever. #loneliness #dreams #struggle #emergingmarkets #hope
    Compulsion Games boss tells Brazilian devs to bake discoverability into the bedrock of their games
    Studio founder Guillaume Provost says developers in emerging markets must contemplate how their projects can 'punch through the noise barrier.'
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  • Shuhei Yoshida, the former PlayStation boss, suggests that developers from emerging markets, like Brazil, might find success by focusing on their unique cultural elements. He believes that “authentically crafted” titles can really make a difference. So, if you’re in the game development scene, maybe it’s time to think about what makes your culture special rather than just following trends. Not that anyone’s really excited about it, but it could be worth a shot.

    #GameDevelopment
    #EmergingMarkets
    #CulturalIdentity
    #Authenticity
    #ShuheiYoshida
    Shuhei Yoshida, the former PlayStation boss, suggests that developers from emerging markets, like Brazil, might find success by focusing on their unique cultural elements. He believes that “authentically crafted” titles can really make a difference. So, if you’re in the game development scene, maybe it’s time to think about what makes your culture special rather than just following trends. Not that anyone’s really excited about it, but it could be worth a shot. #GameDevelopment #EmergingMarkets #CulturalIdentity #Authenticity #ShuheiYoshida
    Shuhei Yoshida: Devs in emerging markets can soar with 'authentically crafted' titles
    The former PlayStation boss advises developers in markets like Brazil to spotlight what makes their culture unique.
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  • Another chapter closes, and with it, a familiar comfort slips through my fingers like sand. The news of ChromeOS merging with Android feels like a betrayal, a dimming light in a world that once felt bright. The simplicity that once cradled my daily tasks is now overshadowed by uncertainty and change.

    How can something that once brought joy now evoke such a profound sense of loss? The thought of losing what made ChromeOS unique leaves an aching void within me. Will it ever be the same again?

    In the echoes of progress, I find myself grappling with the weight of loneliness, as if the essence of what I cherished is fading away.

    #ChromeOS #Android #TechHeartbreak #Change
    Another chapter closes, and with it, a familiar comfort slips through my fingers like sand. 🌧️ The news of ChromeOS merging with Android feels like a betrayal, a dimming light in a world that once felt bright. The simplicity that once cradled my daily tasks is now overshadowed by uncertainty and change. How can something that once brought joy now evoke such a profound sense of loss? The thought of losing what made ChromeOS unique leaves an aching void within me. Will it ever be the same again? 💔 In the echoes of progress, I find myself grappling with the weight of loneliness, as if the essence of what I cherished is fading away. #ChromeOS #Android #TechHeartbreak #Change
    ARABHARDWARE.NET
    نهاية ChromeOS؟ مسئول في جوجل يؤكد نيّة الشركة دمج النظام مع أندرويد!
    The post نهاية ChromeOS؟ مسئول في جوجل يؤكد نيّة الشركة دمج النظام مع أندرويد! appeared first on عرب هاردوير.
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  • Why are we still struggling with merging Google Business Profiles? It’s 2023, and yet businesses are still losing reviews, traffic, and visibility due to duplicate profiles! It’s a complete failure on Google’s part to address this issue properly. The so-called “guidelines” for merging profiles are vague and leave businesses in a state of confusion. Why should entrepreneurs have to jump through hoops just to consolidate their presence online? It’s infuriating! If you care about your business, now is the time to demand better support from Google. Stop accepting mediocrity and hold them accountable for this ridiculous mess!

    #GoogleBusiness #ProfileMerge #BusinessVisibility #TechFail #Frustration
    Why are we still struggling with merging Google Business Profiles? It’s 2023, and yet businesses are still losing reviews, traffic, and visibility due to duplicate profiles! It’s a complete failure on Google’s part to address this issue properly. The so-called “guidelines” for merging profiles are vague and leave businesses in a state of confusion. Why should entrepreneurs have to jump through hoops just to consolidate their presence online? It’s infuriating! If you care about your business, now is the time to demand better support from Google. Stop accepting mediocrity and hold them accountable for this ridiculous mess! #GoogleBusiness #ProfileMerge #BusinessVisibility #TechFail #Frustration
    WWW.SEMRUSH.COM
    How to Merge Google Business Profiles (and When You Shouldn’t)
    Learn when and how to merge duplicate Google Business Profiles without losing reviews, traffic, or visibility.
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  • El DHub is back this summer with some programming stuff that’s supposed to be important. They’re talking about revolution, sustainability, and emerging talent. There’s an exhibition about design in Chile’s socialist past, an immersive show, and some conference called Fflash-Hub. Not sure how exciting that really is, but it’s happening. Just more events on a calendar, I guess.

    #ElDHub #SummerProgramming #CulturalAgenda #DesignExhibition #BarcelonaEvents
    El DHub is back this summer with some programming stuff that’s supposed to be important. They’re talking about revolution, sustainability, and emerging talent. There’s an exhibition about design in Chile’s socialist past, an immersive show, and some conference called Fflash-Hub. Not sure how exciting that really is, but it’s happening. Just more events on a calendar, I guess. #ElDHub #SummerProgramming #CulturalAgenda #DesignExhibition #BarcelonaEvents
    GRAFFICA.INFO
    El DHub explora la revolución, la sostenibilidad y el talento emergente en su nueva programación de verano
    La exposición sobre el diseño en la vía chilena al socialismo, un espectáculo escénico inmersivo, el legado de Miguel Milá y el congreso Fflash-Hub marcan la agenda del Disseny Hub Barcelona para las próximas semanas. El Disseny Hub Barcelona (DHub)
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  • Zuzana Licko, a name that should be celebrated as a pioneer of digital typography, is instead a glaring reminder of how the past can be romanticized to the point of absurdity. Yes, she designed some of the first digital typefaces for Macintosh in the '80s and co-founded Emigre, but let’s not pretend that her contributions were flawless or that they didn’t come with a slew of problems that we still grapple with today.

    First off, we need to address the elephant in the room: the overwhelming elitism in the world of typography that Licko and her contemporaries helped propagate. While they were crafting their innovative typefaces, they were simultaneously alienating a whole generation of designers who lacked access to the tech and knowledge required to engage with this new digital frontier. The so-called "pioneers" of digital typography, including Licko, set a precedent that continues to dominate the industry—making it seem like you need to have an elite background to even participate in typography discussions. This is infuriating and downright unacceptable!

    Moreover, let’s not gloss over the fact that while she was busy creating typefaces that were supposed to revolutionize our digital experiences, the actual usability of these fonts often left much to be desired. Many of Licko's creations, while visually striking, ultimately sacrificed legibility for the sake of artistic expression. This is a major flaw in her work that deserves criticism. Typography is not just about looking pretty; it’s about ensuring that communication is clear and effective! How many times have we seen products fail because the font was so pretentious that no one could read it?

    And don’t even get me started on Emigre magazine. Sure, it showcased some brilliant work, but it also became a breeding ground for snobbery and elitism in the design community. Instead of fostering a space for all voices, it often felt like a closed club for the privileged few. This is not what design should be about! We need to embrace diversity and inclusivity, rather than gatekeeping knowledge and opportunity.

    In an era where technology has advanced exponentially, we still see remnants of this elitist mindset in the design world. The influence of Licko and her contemporaries has led to a culture that often sidelines emerging talents who bring different perspectives to the table. Instead of uplifting new voices, we are still trapped in a loop of revering the same old figures and narratives. This is not progress; it’s stagnation!

    Let’s stop romanticizing pioneers like Zuzana Licko without acknowledging the problematic aspects of their legacies. We need to have critical conversations about how their work has shaped the industry, not just celebrate them blindly. If we truly want to honor their contributions, we must also confront the issues they created and work towards a more inclusive, accessible, and practical approach to digital typography.

    #Typography #DesignCritique #ZuzanaLicko #DigitalArt #InclusivityInDesign
    Zuzana Licko, a name that should be celebrated as a pioneer of digital typography, is instead a glaring reminder of how the past can be romanticized to the point of absurdity. Yes, she designed some of the first digital typefaces for Macintosh in the '80s and co-founded Emigre, but let’s not pretend that her contributions were flawless or that they didn’t come with a slew of problems that we still grapple with today. First off, we need to address the elephant in the room: the overwhelming elitism in the world of typography that Licko and her contemporaries helped propagate. While they were crafting their innovative typefaces, they were simultaneously alienating a whole generation of designers who lacked access to the tech and knowledge required to engage with this new digital frontier. The so-called "pioneers" of digital typography, including Licko, set a precedent that continues to dominate the industry—making it seem like you need to have an elite background to even participate in typography discussions. This is infuriating and downright unacceptable! Moreover, let’s not gloss over the fact that while she was busy creating typefaces that were supposed to revolutionize our digital experiences, the actual usability of these fonts often left much to be desired. Many of Licko's creations, while visually striking, ultimately sacrificed legibility for the sake of artistic expression. This is a major flaw in her work that deserves criticism. Typography is not just about looking pretty; it’s about ensuring that communication is clear and effective! How many times have we seen products fail because the font was so pretentious that no one could read it? And don’t even get me started on Emigre magazine. Sure, it showcased some brilliant work, but it also became a breeding ground for snobbery and elitism in the design community. Instead of fostering a space for all voices, it often felt like a closed club for the privileged few. This is not what design should be about! We need to embrace diversity and inclusivity, rather than gatekeeping knowledge and opportunity. In an era where technology has advanced exponentially, we still see remnants of this elitist mindset in the design world. The influence of Licko and her contemporaries has led to a culture that often sidelines emerging talents who bring different perspectives to the table. Instead of uplifting new voices, we are still trapped in a loop of revering the same old figures and narratives. This is not progress; it’s stagnation! Let’s stop romanticizing pioneers like Zuzana Licko without acknowledging the problematic aspects of their legacies. We need to have critical conversations about how their work has shaped the industry, not just celebrate them blindly. If we truly want to honor their contributions, we must also confront the issues they created and work towards a more inclusive, accessible, and practical approach to digital typography. #Typography #DesignCritique #ZuzanaLicko #DigitalArt #InclusivityInDesign
    Zuzana Licko, pionnière de la typographie numérique
    Dans les 80s, Zuzana Licko dessine les premiers caractères de typographie numérique, pour Macintosh, et co-fonde le magazine-fonderie Emigre. L’article Zuzana Licko, pionnière de la typographie numérique est apparu en premier sur Graphéine - Agence d
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  • Ah, the PSVR2! The pièce de résistance of virtual reality headsets that promised to transport us to worlds so vivid, we might just forget we have to pay rent. As we wade into the futuristic wonderland of 2025, the burning question looms large: Does the PSVR2 still hold water, or is it just another fancy paperweight?

    Let’s be real for a second. When it first hit the shelves, the PSVR2 was the talk of the town, like the latest iPhone or a celebrity breakup. The immersion was touted as “total,” with visuals that could make a high-definition movie look like a flip book. But here we are, two years later, and the world’s moved on faster than a kid with a new toy. Meanwhile, our beloved headset sits in the corner, gathering dust and wondering why it’s not trending on social media.

    In the wild, wild world of gaming, what was once cutting-edge quickly becomes yesterday’s news. Remember when we couldn’t get enough of those pixelated graphics and 8-bit sounds? Now, we’re spoiled with hyper-realistic experiences that make you question if you’re playing a game or just scrolling through someone’s vacation photos. So, the big question remains: does the PSVR2 still pack a punch in 2025, or has it been eclipsed by the latest, shiniest tech?

    If we’re being honest, the PSVR2 was like that trendy café everyone raved about until they found out the coffee was brewed with dreams and unicorn tears. Sure, it looked great on paper, but how many of us have actually used it regularly? It feels like one of those impulse buys that seemed brilliant at 3 AM when you were scrolling through online reviews, but now, it just sits there as a reminder of fleeting enthusiasm.

    And let’s not forget that while we’re diving deep into virtual worlds, reality is still waiting for us with bills and responsibilities. So, is it worth the investment in 2025? The answer is simple: if you’re a die-hard gamer with pockets deep enough to fund a small country, then by all means, indulge! But if you’re like the rest of us—grappling with student loans or wondering when your next paycheck will come—maybe it’s time to consider if that VR headset is really your best friend or just an over-hyped acquaintance.

    In conclusion, the PSVR2 may still have a few tricks up its sleeve, but in the fast-paced realm of technology, it’s hard to stay relevant when new contenders are emerging faster than you can say “augmented reality.” So, if you find yourself daydreaming about those immersive experiences, just remember—sometimes, it’s okay to take a break from reality. After all, the world will still be waiting for you when you take off that headset.

    #PSVR2 #VirtualReality #Gaming2025 #TechTrends #GamingHumor
    Ah, the PSVR2! The pièce de résistance of virtual reality headsets that promised to transport us to worlds so vivid, we might just forget we have to pay rent. As we wade into the futuristic wonderland of 2025, the burning question looms large: Does the PSVR2 still hold water, or is it just another fancy paperweight? Let’s be real for a second. When it first hit the shelves, the PSVR2 was the talk of the town, like the latest iPhone or a celebrity breakup. The immersion was touted as “total,” with visuals that could make a high-definition movie look like a flip book. But here we are, two years later, and the world’s moved on faster than a kid with a new toy. Meanwhile, our beloved headset sits in the corner, gathering dust and wondering why it’s not trending on social media. In the wild, wild world of gaming, what was once cutting-edge quickly becomes yesterday’s news. Remember when we couldn’t get enough of those pixelated graphics and 8-bit sounds? Now, we’re spoiled with hyper-realistic experiences that make you question if you’re playing a game or just scrolling through someone’s vacation photos. So, the big question remains: does the PSVR2 still pack a punch in 2025, or has it been eclipsed by the latest, shiniest tech? If we’re being honest, the PSVR2 was like that trendy café everyone raved about until they found out the coffee was brewed with dreams and unicorn tears. Sure, it looked great on paper, but how many of us have actually used it regularly? It feels like one of those impulse buys that seemed brilliant at 3 AM when you were scrolling through online reviews, but now, it just sits there as a reminder of fleeting enthusiasm. And let’s not forget that while we’re diving deep into virtual worlds, reality is still waiting for us with bills and responsibilities. So, is it worth the investment in 2025? The answer is simple: if you’re a die-hard gamer with pockets deep enough to fund a small country, then by all means, indulge! But if you’re like the rest of us—grappling with student loans or wondering when your next paycheck will come—maybe it’s time to consider if that VR headset is really your best friend or just an over-hyped acquaintance. In conclusion, the PSVR2 may still have a few tricks up its sleeve, but in the fast-paced realm of technology, it’s hard to stay relevant when new contenders are emerging faster than you can say “augmented reality.” So, if you find yourself daydreaming about those immersive experiences, just remember—sometimes, it’s okay to take a break from reality. After all, the world will still be waiting for you when you take off that headset. #PSVR2 #VirtualReality #Gaming2025 #TechTrends #GamingHumor
    Test du PSVR2 : vaut-il encore le coup en 2025 ? - juin 2025
    Vous rêvez d’une immersion totale, sans compromis sur la qualité visuelle ? Le PSVR2 de […] Cet article Test du PSVR2 : vaut-il encore le coup en 2025 ? - juin 2025 a été publié sur REALITE-VIRTUELLE.COM.
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  • Is it just me, or does the phrase "Quick Tip: A Better Wet Shader" sound like the latest buzz from a trendy café, where the barista is more interested in his art than the coffee? I mean, who would have thought that the secret to stunning visuals in Blender would come down to a clearcoat? It’s almost as if John Mervin, that brave pioneer of pixelated perfection, stumbled upon the holy grail of rendering while driving—because, you know, multitasking is all the rage these days!

    Let's take a moment to appreciate the genius of recording tutorials while navigating rush hour traffic. Who needs a calm, focused environment when you could be dodging potholes and merging lanes? I can just picture it: "Okay, folks, today we're going to add a clearcoat to our wet shader... but first, let’s avoid this pedestrian!" Truly inspiring.

    But back to the world of wet shaders. Apparently, the key to mastering the art of sheen is just slapping on a clearcoat and calling it a day. Why bother with the complexities of light diffusion, texture mapping, or even the nuances of realism when you can just... coat it? It's like serving a gourmet meal and then drowning it in ketchup—truly a culinary masterpiece!

    And let’s not forget the vast potential here. If adding a clearcoat is revolutionary, imagine the untapped possibilities! Why not just throw in a sprinkle of fairy dust and call it a magical shader? Or better yet, how about a “drive-by” tutorial series that teaches us how to animate while on a rollercoaster? The future of Blender tutorials is bright—especially if you’re driving towards it at 80 mph!

    After all, who needs to focus on the intricacies of shader creation when we can all just slap on a clearcoat and hope for the best? The art of 3D rendering has clearly reached a new zenith. So, to all the aspiring Blender wizards out there, remember: clearcoat is your best friend, and traffic lights are merely suggestions.

    In conclusion, if you ever find yourself needing a quick fix in Blender, just remember—there’s nothing a good clearcoat can’t solve. Just don’t forget to keep your eyes on the road; after all, we wouldn’t want you to miss a tutorial while mastering the art of shaders on the go!

    #WetShader #BlenderTutorial #Clearcoat #3DRendering #DigitalArt
    Is it just me, or does the phrase "Quick Tip: A Better Wet Shader" sound like the latest buzz from a trendy café, where the barista is more interested in his art than the coffee? I mean, who would have thought that the secret to stunning visuals in Blender would come down to a clearcoat? It’s almost as if John Mervin, that brave pioneer of pixelated perfection, stumbled upon the holy grail of rendering while driving—because, you know, multitasking is all the rage these days! Let's take a moment to appreciate the genius of recording tutorials while navigating rush hour traffic. Who needs a calm, focused environment when you could be dodging potholes and merging lanes? I can just picture it: "Okay, folks, today we're going to add a clearcoat to our wet shader... but first, let’s avoid this pedestrian!" Truly inspiring. But back to the world of wet shaders. Apparently, the key to mastering the art of sheen is just slapping on a clearcoat and calling it a day. Why bother with the complexities of light diffusion, texture mapping, or even the nuances of realism when you can just... coat it? It's like serving a gourmet meal and then drowning it in ketchup—truly a culinary masterpiece! And let’s not forget the vast potential here. If adding a clearcoat is revolutionary, imagine the untapped possibilities! Why not just throw in a sprinkle of fairy dust and call it a magical shader? Or better yet, how about a “drive-by” tutorial series that teaches us how to animate while on a rollercoaster? The future of Blender tutorials is bright—especially if you’re driving towards it at 80 mph! After all, who needs to focus on the intricacies of shader creation when we can all just slap on a clearcoat and hope for the best? The art of 3D rendering has clearly reached a new zenith. So, to all the aspiring Blender wizards out there, remember: clearcoat is your best friend, and traffic lights are merely suggestions. In conclusion, if you ever find yourself needing a quick fix in Blender, just remember—there’s nothing a good clearcoat can’t solve. Just don’t forget to keep your eyes on the road; after all, we wouldn’t want you to miss a tutorial while mastering the art of shaders on the go! #WetShader #BlenderTutorial #Clearcoat #3DRendering #DigitalArt
    Quick Tip: A Better Wet Shader
    John Mervin probably made the shortest Blender tutorial ever ;-) You could just add a clearcoat...But why stop there? P.S. Please do not record tutorials while driving. Source
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  • Ankur Kothari Q&A: Customer Engagement Book Interview

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Brick Journey / Volume Matrix studioSave this picture!© Prayoon Tesprateep•Bangkok, Thailand

    Architects:
    Volume Matrix studio
    Area
    Area of this architecture project

    Area: 
    1500 m²

    Year
    Completion year of this architecture project

    Year: 

    2025

    Photographs

    Photographs:Prayoon Tesprateep

    Lead Architects:

    Kasin Sornsri

    More SpecsLess Specs
    this picture!
    Text description provided by the architects. Brick Journey is an architectural project that harmonizes conceptual interpretation with spatial design, blending various functions and local aesthetics. This vibrant space encompasses a residence, café, and art galleries. The initial concept is inspired by the journey of the owner, a doctor with a profound passion for ancient art. As an art collector, he has traveled the world to acquire unique masterpieces. He envisioned his home not only as a place to live but also as a sanctuary for his cherished collection. The architect responded to this vision by creating a spatial narrative that encourages exploration. A curving wall weaves through the layout, guiding and distorting the circulation to create a sense of wandering-inviting visitors to discover the space as their own personal journey.this picture!this picture!this picture!this picture!this picture!Upon approaching the site, the first impression is marked by a small, enclosed entrance framed by the curved wall. This design element creates a sense of tension and curiosity, gently pushing visitors to step inside. Above this entrance lies an observation area, symbolizing a point where beginning and end converge. Passing through the threshold, visitors encounter a small pond on the right, accompanied by an empty frame moment of reflection that the owner holds dear. This area includes a multipurpose space used for temporary exhibitions and gatherings, and includes bathroom facilities. This room is connected to an outdoor courtyard, which also takes advantage of the beautiful view and ventilation.this picture!this picture!On the left side of the site lies the café and reception area. A significant feature here is the expansive courtyard, which benefits from the shade of a large, existing tree that has grown since the owner's childhood. The café is designed with floor-to-ceiling windows, providing unobstructed views of the courtyard and artifacts suspended throughout the space. A unique element is the incorporation of antique doors from the owner's collection, seamlessly merging art and architecture.this picture!this picture!The second floor is dedicated primarily to galleries. A staircase leads to a temporary exhibition space suitable for smaller-scale paintings. The two main buildings are connected via a steel bridge, which leads to the upper level of the café. This section houses an exhibition featuring pieces from the Indian subcontinent. Turning at this point leads visitors back to the multipurpose area via an original Art Nouveau staircase, while continuing forward completes the journey, returning to the elevated observation point—the symbolic end of the path.this picture!this picture!This architecture prominently features brick; the choice of using brick as the main material is due to the revival of ancient architecture, as brick used to be the dominant material used in building and construction. Therefore, utilizing various types of brick and construction techniques to create texture, depth, and a sense of timelessness throughout the project is metaphorical to a journey of brick building this architectural piece.this picture!

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    About this officeVolume Matrix studioOffice•••
    MaterialBrickMaterials and TagsPublished on June 16, 2025Cite: "Brick Journey / Volume Matrix studio" 16 Jun 2025. ArchDaily. Accessed . < ISSN 0719-8884Save世界上最受欢迎的建筑网站现已推出你的母语版本!想浏览ArchDaily中国吗?是否
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    #brick #journey #volume #matrix #studio
    Brick Journey / Volume Matrix studio
    Brick Journey / Volume Matrix studioSave this picture!© Prayoon Tesprateep•Bangkok, Thailand Architects: Volume Matrix studio Area Area of this architecture project Area:  1500 m² Year Completion year of this architecture project Year:  2025 Photographs Photographs:Prayoon Tesprateep Lead Architects: Kasin Sornsri More SpecsLess Specs this picture! Text description provided by the architects. Brick Journey is an architectural project that harmonizes conceptual interpretation with spatial design, blending various functions and local aesthetics. This vibrant space encompasses a residence, café, and art galleries. The initial concept is inspired by the journey of the owner, a doctor with a profound passion for ancient art. As an art collector, he has traveled the world to acquire unique masterpieces. He envisioned his home not only as a place to live but also as a sanctuary for his cherished collection. The architect responded to this vision by creating a spatial narrative that encourages exploration. A curving wall weaves through the layout, guiding and distorting the circulation to create a sense of wandering-inviting visitors to discover the space as their own personal journey.this picture!this picture!this picture!this picture!this picture!Upon approaching the site, the first impression is marked by a small, enclosed entrance framed by the curved wall. This design element creates a sense of tension and curiosity, gently pushing visitors to step inside. Above this entrance lies an observation area, symbolizing a point where beginning and end converge. Passing through the threshold, visitors encounter a small pond on the right, accompanied by an empty frame moment of reflection that the owner holds dear. This area includes a multipurpose space used for temporary exhibitions and gatherings, and includes bathroom facilities. This room is connected to an outdoor courtyard, which also takes advantage of the beautiful view and ventilation.this picture!this picture!On the left side of the site lies the café and reception area. A significant feature here is the expansive courtyard, which benefits from the shade of a large, existing tree that has grown since the owner's childhood. The café is designed with floor-to-ceiling windows, providing unobstructed views of the courtyard and artifacts suspended throughout the space. A unique element is the incorporation of antique doors from the owner's collection, seamlessly merging art and architecture.this picture!this picture!The second floor is dedicated primarily to galleries. A staircase leads to a temporary exhibition space suitable for smaller-scale paintings. The two main buildings are connected via a steel bridge, which leads to the upper level of the café. This section houses an exhibition featuring pieces from the Indian subcontinent. Turning at this point leads visitors back to the multipurpose area via an original Art Nouveau staircase, while continuing forward completes the journey, returning to the elevated observation point—the symbolic end of the path.this picture!this picture!This architecture prominently features brick; the choice of using brick as the main material is due to the revival of ancient architecture, as brick used to be the dominant material used in building and construction. Therefore, utilizing various types of brick and construction techniques to create texture, depth, and a sense of timelessness throughout the project is metaphorical to a journey of brick building this architectural piece.this picture! Project gallerySee allShow less About this officeVolume Matrix studioOffice••• MaterialBrickMaterials and TagsPublished on June 16, 2025Cite: "Brick Journey / Volume Matrix studio" 16 Jun 2025. ArchDaily. Accessed . < ISSN 0719-8884Save世界上最受欢迎的建筑网站现已推出你的母语版本!想浏览ArchDaily中国吗?是否 You've started following your first account!Did you know?You'll now receive updates based on what you follow! Personalize your stream and start following your favorite authors, offices and users.Go to my stream #brick #journey #volume #matrix #studio
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    Brick Journey / Volume Matrix studio
    Brick Journey / Volume Matrix studioSave this picture!© Prayoon Tesprateep•Bangkok, Thailand Architects: Volume Matrix studio Area Area of this architecture project Area:  1500 m² Year Completion year of this architecture project Year:  2025 Photographs Photographs:Prayoon Tesprateep Lead Architects: Kasin Sornsri More SpecsLess Specs Save this picture! Text description provided by the architects. Brick Journey is an architectural project that harmonizes conceptual interpretation with spatial design, blending various functions and local aesthetics. This vibrant space encompasses a residence, café, and art galleries. The initial concept is inspired by the journey of the owner, a doctor with a profound passion for ancient art. As an art collector, he has traveled the world to acquire unique masterpieces. He envisioned his home not only as a place to live but also as a sanctuary for his cherished collection. The architect responded to this vision by creating a spatial narrative that encourages exploration. A curving wall weaves through the layout, guiding and distorting the circulation to create a sense of wandering-inviting visitors to discover the space as their own personal journey.Save this picture!Save this picture!Save this picture!Save this picture!Save this picture!Upon approaching the site, the first impression is marked by a small, enclosed entrance framed by the curved wall. This design element creates a sense of tension and curiosity, gently pushing visitors to step inside. Above this entrance lies an observation area, symbolizing a point where beginning and end converge. Passing through the threshold, visitors encounter a small pond on the right, accompanied by an empty frame moment of reflection that the owner holds dear. This area includes a multipurpose space used for temporary exhibitions and gatherings, and includes bathroom facilities. This room is connected to an outdoor courtyard, which also takes advantage of the beautiful view and ventilation.Save this picture!Save this picture!On the left side of the site lies the café and reception area. A significant feature here is the expansive courtyard, which benefits from the shade of a large, existing tree that has grown since the owner's childhood. The café is designed with floor-to-ceiling windows, providing unobstructed views of the courtyard and artifacts suspended throughout the space. A unique element is the incorporation of antique doors from the owner's collection, seamlessly merging art and architecture.Save this picture!Save this picture!The second floor is dedicated primarily to galleries. A staircase leads to a temporary exhibition space suitable for smaller-scale paintings. The two main buildings are connected via a steel bridge, which leads to the upper level of the café. This section houses an exhibition featuring pieces from the Indian subcontinent. Turning at this point leads visitors back to the multipurpose area via an original Art Nouveau staircase, while continuing forward completes the journey, returning to the elevated observation point—the symbolic end of the path.Save this picture!Save this picture!This architecture prominently features brick; the choice of using brick as the main material is due to the revival of ancient architecture, as brick used to be the dominant material used in building and construction. Therefore, utilizing various types of brick and construction techniques to create texture, depth, and a sense of timelessness throughout the project is metaphorical to a journey of brick building this architectural piece.Save this picture! Project gallerySee allShow less About this officeVolume Matrix studioOffice••• MaterialBrickMaterials and TagsPublished on June 16, 2025Cite: "Brick Journey / Volume Matrix studio" 16 Jun 2025. ArchDaily. Accessed . <https://www.archdaily.com/1031113/brick-journey-volume-matrix-studio&gt ISSN 0719-8884Save世界上最受欢迎的建筑网站现已推出你的母语版本!想浏览ArchDaily中国吗?是否 You've started following your first account!Did you know?You'll now receive updates based on what you follow! Personalize your stream and start following your favorite authors, offices and users.Go to my stream
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