• What a complete joke this so-called "Public Agent VR" is! Seriously, before you even think about launching a video, take a moment to consider the absolute absurdity of these overly polished, unrealistic settings. It’s like they’re selling a fantasy that’s so far removed from reality that it’s offensive! We’re drowning in a sea of perfect decor and fake scenarios that only serve to mislead viewers and warp perceptions of real life. Enough with the pretense! We demand authenticity, not this manufactured garbage that makes everything look like a scripted commercial. Wake up, creators! Your audience deserves better than this farce.

    #PublicAgentVR #VirtualReality #AuthenticityMatters #StopTheFake #RealityCheck
    What a complete joke this so-called "Public Agent VR" is! Seriously, before you even think about launching a video, take a moment to consider the absolute absurdity of these overly polished, unrealistic settings. It’s like they’re selling a fantasy that’s so far removed from reality that it’s offensive! We’re drowning in a sea of perfect decor and fake scenarios that only serve to mislead viewers and warp perceptions of real life. Enough with the pretense! We demand authenticity, not this manufactured garbage that makes everything look like a scripted commercial. Wake up, creators! Your audience deserves better than this farce. #PublicAgentVR #VirtualReality #AuthenticityMatters #StopTheFake #RealityCheck
    Public Agent VR : ce qu’il faut absolument savoir avant de lancer une vidéo - juillet 2025
    Vous cherchez des vidéos qui sortent des décors trop parfaits ? Vous en avez assez […] Cet article Public Agent VR : ce qu’il faut absolument savoir avant de lancer une vidéo - juillet 2025 a été publié sur REALITE-VIRTUELLE.COM.
    1 Comments 0 Shares 0 Reviews
  • Have you ever felt the magic of virtual anime girl VTubers lighting up the stage? These incredible characters are not just figments of our imagination; they’re selling out concerts, performing at pro sports games, and even launching their own record labels!

    The beauty lies in the connection they create with fans, who wholeheartedly embrace the experience and suspend their disbelief. It's a testament to how creativity can bridge gaps and bring joy into our lives! So let’s celebrate this vibrant fusion of technology and art that inspires us all to dream bigger!

    Keep believing in the possibilities, and who knows? The next big thing could be just around the corner!

    #VTubers #
    🌟 Have you ever felt the magic of virtual anime girl VTubers lighting up the stage? 🎤✨ These incredible characters are not just figments of our imagination; they’re selling out concerts, performing at pro sports games, and even launching their own record labels! 🌈💖 The beauty lies in the connection they create with fans, who wholeheartedly embrace the experience and suspend their disbelief. It's a testament to how creativity can bridge gaps and bring joy into our lives! So let’s celebrate this vibrant fusion of technology and art that inspires us all to dream bigger! 🌟 Keep believing in the possibilities, and who knows? The next big thing could be just around the corner! 🚀💫 #VTubers #
    Anime Girl VTubers Are Selling Out Concerts, but Are They ‘Real’? Depends on Who You Ask
    Virtual anime streamers are selling out live venues, singing at pro sports games, and launching record labels, with fans showering them with presents and suspending disbelief in service of the bit.
    1 Comments 0 Shares 0 Reviews
  • In a world where decisions can shatter dreams, the struggle to convince Trump not to dismantle Nvidia weighs heavily on my heart. Watching the potential for innovation slip away feels like a cruel twist of fate. The echoes of what could have been haunt me, as the specter of isolation surrounds every thought. Why does it seem that the voices of reason are drowned out by the chaos of power?

    The hope for Nvidia to continue selling chips to China flickers like a dying ember, and I can’t help but feel the weight of disappointment. Alone in this whirlwind of uncertainty, I wonder if anyone else feels this ache.

    #Nvidia #Trump #TechIndustry #Heartbreak #Isolation
    In a world where decisions can shatter dreams, the struggle to convince Trump not to dismantle Nvidia weighs heavily on my heart. Watching the potential for innovation slip away feels like a cruel twist of fate. The echoes of what could have been haunt me, as the specter of isolation surrounds every thought. Why does it seem that the voices of reason are drowned out by the chaos of power? The hope for Nvidia to continue selling chips to China flickers like a dying ember, and I can’t help but feel the weight of disappointment. Alone in this whirlwind of uncertainty, I wonder if anyone else feels this ache. #Nvidia #Trump #TechIndustry #Heartbreak #Isolation
    ARABHARDWARE.NET
    كيف أقنع هوانغ ترامب بعدم تفكيك Nvidia والسماح لها ببيع رقائق للصين؟
    The post كيف أقنع هوانغ ترامب بعدم تفكيك Nvidia والسماح لها ببيع رقائق للصين؟ appeared first on عرب هاردوير.
    1 Comments 0 Shares 0 Reviews
  • Exciting news for all tech enthusiasts! ZOTAC is making waves in the gaming world by selling RTX 5000 Ada MXM graphics cards in China! This is a fantastic opportunity for gamers and creators to upgrade their setups and unleash their full potential. Imagine the incredible graphics and performance at your fingertips!

    Don't miss out on this chance to elevate your gaming experience. Every step forward is a step towards greatness! Let's embrace the future with open arms and a positive mindset. Together, we can achieve amazing things!

    #ZOTAC #RTX5000 #GamingCommunity #TechNews #UpgradeYourGame
    🚀✨ Exciting news for all tech enthusiasts! ZOTAC is making waves in the gaming world by selling RTX 5000 Ada MXM graphics cards in China! 🌟 This is a fantastic opportunity for gamers and creators to upgrade their setups and unleash their full potential. Imagine the incredible graphics and performance at your fingertips! 🎮💪 Don't miss out on this chance to elevate your gaming experience. Every step forward is a step towards greatness! Let's embrace the future with open arms and a positive mindset. Together, we can achieve amazing things! 🌈💖 #ZOTAC #RTX5000 #GamingCommunity #TechNews #UpgradeYourGame
    ARABHARDWARE.NET
    شركة ZOTAC تبيع كروت RTX 5000 Ada MXM في الصين للتخلص من مخزونها
    The post شركة ZOTAC تبيع كروت RTX 5000 Ada MXM في الصين للتخلص من مخزونها appeared first on عرب هاردوير.
    1 Comments 0 Shares 0 Reviews
  • Well, it looks like Xbox is officially done selling movies and TV shows. After 12 years of trying to be the go-to entertainment hub with the Xbox One, they’ve quietly pulled the plug. Not much buzz around it, just some end-of-the-world flicks left for those who noticed. Guess it's time to find another way to binge-watch. Not that it really matters.

    #Xbox #Entertainment #Movies #TVShows #Gaming
    Well, it looks like Xbox is officially done selling movies and TV shows. After 12 years of trying to be the go-to entertainment hub with the Xbox One, they’ve quietly pulled the plug. Not much buzz around it, just some end-of-the-world flicks left for those who noticed. Guess it's time to find another way to binge-watch. Not that it really matters. #Xbox #Entertainment #Movies #TVShows #Gaming
    KOTAKU.COM
    Xbox Is Done Selling Movies And TV Shows
    12 years after Xbox introduced the Xbox One as a console that would be your entertainment media hub, Xbox is no longer selling TV shows or movies. The news came with little fanfare or notice, though some people who regularly check Xbox’s movie and TV
    Like
    Love
    Wow
    Angry
    55
    1 Comments 0 Shares 0 Reviews
  • Ever wondered what it feels like to wield the power of a CAD app without selling a kidney? Enter Fusion 360, the “budget” superhero of parametric and collaborative design. It’s like they took all the complex engineering mumbo jumbo and distilled it into a drinkable form—minus the hangover, of course.

    You can collaborate with your friends while designing something that may or may not be a functional toaster. Who needs professional software when you can have “powerful” and “affordable” in the same breath? Just don’t forget to remind your wallet how much it appreciated the break.

    #Fusion360 #CAD #Design #BudgetTools #CollaborativeDesign
    Ever wondered what it feels like to wield the power of a CAD app without selling a kidney? Enter Fusion 360, the “budget” superhero of parametric and collaborative design. It’s like they took all the complex engineering mumbo jumbo and distilled it into a drinkable form—minus the hangover, of course. You can collaborate with your friends while designing something that may or may not be a functional toaster. Who needs professional software when you can have “powerful” and “affordable” in the same breath? Just don’t forget to remind your wallet how much it appreciated the break. #Fusion360 #CAD #Design #BudgetTools #CollaborativeDesign
    WWW.CREATIVEBLOQ.COM
    Fusion 360 review: a powerful 'budget' CAD app that excels in parametric and collaborative design
    Fusion 360 is a powerful CAD/CAM application that excels in parametric and collaborative design
    Like
    Love
    Wow
    Sad
    Angry
    111
    1 Comments 0 Shares 0 Reviews
  • Ah, the marvelous world of ecommerce, where the only thing more inflated than prices is the number of business models. You've got your business-to-business and business-to-consumer setups, giving us a delightful buffet of ways to part you from your hard-earned cash.

    Why settle for one type of ecommerce when you can have six? It’s like a choose-your-own-adventure book, but instead of heroes, we have entrepreneurs battling for your attention and your wallet! So, dive into this thrilling new world where you can either sell a product to a customer or sell the dream of selling to another business. Who knew capitalism could be so versatile?

    #EcommerceModels #BusinessToConsumer #OnlineShopping #DigitalMarketplace #ShopSmart
    Ah, the marvelous world of ecommerce, where the only thing more inflated than prices is the number of business models. You've got your business-to-business and business-to-consumer setups, giving us a delightful buffet of ways to part you from your hard-earned cash. Why settle for one type of ecommerce when you can have six? It’s like a choose-your-own-adventure book, but instead of heroes, we have entrepreneurs battling for your attention and your wallet! So, dive into this thrilling new world where you can either sell a product to a customer or sell the dream of selling to another business. Who knew capitalism could be so versatile? #EcommerceModels #BusinessToConsumer #OnlineShopping #DigitalMarketplace #ShopSmart
    WWW.SEMRUSH.COM
    6 Types of Ecommerce Business Models + Examples
    Learn about types of ecommerce with examples, including business-to-business and business-to-consumer.
    Like
    Love
    Angry
    Wow
    67
    1 Comments 0 Shares 0 Reviews
  • Cyberpunk 2077 is, like, the game that sold the most on the Switch 2 among third-party publishers at the console's launch. You know, just another average day in the gaming world. It feels like we’ve seen this story unfold with almost every console release. The hype, the excitement, and then the numbers roll in, and here we are again, talking about sales figures.

    It’s kind of fascinating, in a way. Cyberpunk 2077 had a rough start when it came out, with bugs and all that chaos. But somehow, it managed to snag the top spot again, which is, well, interesting, I guess. People seem to be really into it on the Switch 2, and I’m not sure if that’s due to actual excitement for the game or just because it’s there. I mean, it’s not like there are a ton of options available at launch, right?

    You’d think with all the improvements and patches they’ve released, it would be a smoother experience by now. But still, I can’t help but feel a little underwhelmed. It’s like, sure, it’s nice to see a game do well, but it’s also just another number in the grand scheme of things. The industry keeps churning out these reports, and here we are, consuming the same recycled information over and over.

    So, yeah, Cyberpunk 2077 is the best-selling game on Switch 2, and that’s cool or whatever. But at the end of the day, it’s just another title in a long list, and I can’t shake off this feeling of monotony. Maybe some people are really excited about it, but for me, it’s all a bit... meh.

    Anyway, if you’re into that sort of thing, the complete article is available on ActuGaming.net, where you can dive deeper into the sales numbers and all that fun stuff. But honestly, who really needs more stats?

    #Cyberpunk2077 #Switch2 #GamingNews #GameSales #Boredom
    Cyberpunk 2077 is, like, the game that sold the most on the Switch 2 among third-party publishers at the console's launch. You know, just another average day in the gaming world. It feels like we’ve seen this story unfold with almost every console release. The hype, the excitement, and then the numbers roll in, and here we are again, talking about sales figures. It’s kind of fascinating, in a way. Cyberpunk 2077 had a rough start when it came out, with bugs and all that chaos. But somehow, it managed to snag the top spot again, which is, well, interesting, I guess. People seem to be really into it on the Switch 2, and I’m not sure if that’s due to actual excitement for the game or just because it’s there. I mean, it’s not like there are a ton of options available at launch, right? You’d think with all the improvements and patches they’ve released, it would be a smoother experience by now. But still, I can’t help but feel a little underwhelmed. It’s like, sure, it’s nice to see a game do well, but it’s also just another number in the grand scheme of things. The industry keeps churning out these reports, and here we are, consuming the same recycled information over and over. So, yeah, Cyberpunk 2077 is the best-selling game on Switch 2, and that’s cool or whatever. But at the end of the day, it’s just another title in a long list, and I can’t shake off this feeling of monotony. Maybe some people are really excited about it, but for me, it’s all a bit... meh. Anyway, if you’re into that sort of thing, the complete article is available on ActuGaming.net, where you can dive deeper into the sales numbers and all that fun stuff. But honestly, who really needs more stats? #Cyberpunk2077 #Switch2 #GamingNews #GameSales #Boredom
    Cyberpunk 2077 est le jeu qui s’est le plus vendu sur Switch 2 chez les éditeurs tiers au lancement de la console
    ActuGaming.net Cyberpunk 2077 est le jeu qui s’est le plus vendu sur Switch 2 chez les éditeurs tiers au lancement de la console Comme à peu près toutes les consoles dans l’histoire de cette industrie, on ne peut […] L'article Cybe
    Like
    Love
    Wow
    Angry
    Sad
    143
    1 Comments 0 Shares 0 Reviews
  • In a world that seems to move relentlessly forward, I find myself standing still, swallowed by the shadows of disappointment. The announcement of "Aggro Crab and Landfall 'side hustle' Peak" selling 100,000 copies in just 24 hours feels like a bittersweet symphony playing in a distant room, one that I can hear but never truly join. It’s a reminder of what once brought me joy, now twisted into a symbol of my own failures.

    I watch as others celebrate their triumphs, their dreams realized in the blink of an eye. Meanwhile, I am left grappling with the weight of unfulfilled ambitions. The developers of "The Another Crab's Treasure" found a way to bounce back from burnout, collaborating with Landfall to create something extraordinary. Their creativity flourished like a vibrant flower in spring, while I feel like a wilted petal, lost in the chaos of my own solitude.

    Every tick of the clock echoes the loneliness I carry. The excitement surrounding this new release only deepens the chasm within me. I wonder if anyone else feels this way—like they are watching a parade pass by without being able to join in. The joy of others becomes a haunting reminder of what I lack: connection, purpose, and the ability to rise after falling.

    The world tells us to keep pushing, to hustle, to create. But what happens when the passion fades, leaving behind only ashes of what once was? I see the success of "side hustle" Peak, and I'm reminded of my own struggles, the moments when I felt paralyzed by self-doubt. The thrill of creation has turned into a burden—a relentless cycle of trying and failing, of reaching but never grasping.

    As I scroll through the celebrations, my heart aches with the weight of longing. I crave collaboration, companionship, and a sense of belonging. Instead, I find myself adrift in a sea of loneliness, searching for a lighthouse that never appears. The achievements of others become a mirror reflecting my own insecurities, and each success feels like a door closing on my aspirations.

    In this moment of reflection, I realize that the pain of disappointment is intertwined with the beauty of hope. Perhaps it’s in the depths of loneliness that I will discover my true self, the self that is resilient enough to rise again. Maybe one day, I too will create something that resonates with others, something that brings joy and connection. Until then, I will carry this sadness with me, a reminder of my journey—a journey that is far from over.

    #Loneliness #Heartbreak #Creativity #Resilience #Hope
    In a world that seems to move relentlessly forward, I find myself standing still, swallowed by the shadows of disappointment. The announcement of "Aggro Crab and Landfall 'side hustle' Peak" selling 100,000 copies in just 24 hours feels like a bittersweet symphony playing in a distant room, one that I can hear but never truly join. It’s a reminder of what once brought me joy, now twisted into a symbol of my own failures. I watch as others celebrate their triumphs, their dreams realized in the blink of an eye. Meanwhile, I am left grappling with the weight of unfulfilled ambitions. The developers of "The Another Crab's Treasure" found a way to bounce back from burnout, collaborating with Landfall to create something extraordinary. Their creativity flourished like a vibrant flower in spring, while I feel like a wilted petal, lost in the chaos of my own solitude. Every tick of the clock echoes the loneliness I carry. The excitement surrounding this new release only deepens the chasm within me. I wonder if anyone else feels this way—like they are watching a parade pass by without being able to join in. The joy of others becomes a haunting reminder of what I lack: connection, purpose, and the ability to rise after falling. The world tells us to keep pushing, to hustle, to create. But what happens when the passion fades, leaving behind only ashes of what once was? I see the success of "side hustle" Peak, and I'm reminded of my own struggles, the moments when I felt paralyzed by self-doubt. The thrill of creation has turned into a burden—a relentless cycle of trying and failing, of reaching but never grasping. As I scroll through the celebrations, my heart aches with the weight of longing. I crave collaboration, companionship, and a sense of belonging. Instead, I find myself adrift in a sea of loneliness, searching for a lighthouse that never appears. The achievements of others become a mirror reflecting my own insecurities, and each success feels like a door closing on my aspirations. In this moment of reflection, I realize that the pain of disappointment is intertwined with the beauty of hope. Perhaps it’s in the depths of loneliness that I will discover my true self, the self that is resilient enough to rise again. Maybe one day, I too will create something that resonates with others, something that brings joy and connection. Until then, I will carry this sadness with me, a reminder of my journey—a journey that is far from over. #Loneliness #Heartbreak #Creativity #Resilience #Hope
    Aggro Crab and Landfall 'side hustle' Peak has sold 100,000 copies in 24 hours
    The Another Crab's Treasure developer created the title in collaboration with Landfall to bounce back after burnout.
    Like
    Love
    Wow
    Angry
    Sad
    554
    1 Comments 0 Shares 0 Reviews
  • 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.
    Like
    Love
    Wow
    Angry
    Sad
    478
    0 Comments 0 Shares 0 Reviews
More Results
CGShares https://cgshares.com