• 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.
    1 Yorumlar 0 hisse senetleri 0 önizleme
  • It's infuriating how complicated Google makes it to see your reviews and manage them! Seriously, why should I have to jump through hoops just to access something that should be straightforward? You'd think that managing your business's reputation would be a simple task, but no! Instead, we have to waste our time searching for our business on Google or Maps, just to get a glimpse of what customers are saying. This is a complete oversight on Google's part! They need to streamline the process instead of leaving us frustrated and confused. It's 2023; we deserve better than this clunky system!

    #GoogleReviews #BusinessManagement #CustomerFeedback #TechFail #Frustration
    It's infuriating how complicated Google makes it to see your reviews and manage them! Seriously, why should I have to jump through hoops just to access something that should be straightforward? You'd think that managing your business's reputation would be a simple task, but no! Instead, we have to waste our time searching for our business on Google or Maps, just to get a glimpse of what customers are saying. This is a complete oversight on Google's part! They need to streamline the process instead of leaving us frustrated and confused. It's 2023; we deserve better than this clunky system! #GoogleReviews #BusinessManagement #CustomerFeedback #TechFail #Frustration
    WWW.SEMRUSH.COM
    How to See Your Google Reviews and Easily Manage Them
    You can find Google reviews by searching your business on Google or Maps. Follow these steps.
    Like
    Love
    Wow
    Sad
    60
    1 Yorumlar 0 hisse senetleri 0 önizleme
  • Exciting times are here! AI-powered search is revolutionizing the way we approach marketing and how customers find what they need in an instant! Imagine needing a new washer/dryer and getting the best answer in seconds—no more endless scrolling through reviews! This transformation is not just a trend; it’s a game-changer for businesses striving to connect with their audience. Embrace this shift and harness the power of AI to elevate your marketing strategies! Let’s adapt, innovate, and thrive together!

    #AIPoweredSearch #MarketingInnovation #ThriveTogether #PositiveChange #EmbraceTheFuture
    🌟 Exciting times are here! 🌟 AI-powered search is revolutionizing the way we approach marketing and how customers find what they need in an instant! 🚀 Imagine needing a new washer/dryer and getting the best answer in seconds—no more endless scrolling through reviews! This transformation is not just a trend; it’s a game-changer for businesses striving to connect with their audience. Embrace this shift and harness the power of AI to elevate your marketing strategies! Let’s adapt, innovate, and thrive together! 💪💖 #AIPoweredSearch #MarketingInnovation #ThriveTogether #PositiveChange #EmbraceTheFuture
    How AI Powered Search Is Changing Marketing, and What You Can Do About It.
    Imagine you need a new washer/dryer. In the past you’d read through several review sites, but now an AI-powered search gives you a single, convenient answer in seconds. AI-powered search is fundamentally altering how customers find information, and t
    1 Yorumlar 0 hisse senetleri 0 önizleme
  • In a world that spins endlessly, I find myself standing still, lost in the echoes of laughter that once filled my heart. The warmth of companionship feels like a distant memory, replaced by the cold reality of solitude. Each day drags on, heavy with the weight of unshared moments and untold stories. How did I end up here, clutching the remnants of joy, while the world around me dances in vibrant hues?

    I often wonder if anyone notices the silent battles I fight within. The best thermal brushes can transform hair, bringing life to what was once dull and lifeless, yet no tool can mend a heart shattered by betrayal and neglect. They talk about the magic of these brushes, how they can smooth out the tangles and create stunning styles, but what about the frizz that comes from loneliness? The ache that lingers long after the laughter fades?

    Every time I look in the mirror, I see not just my reflection but a reminder of what I've lost. The vibrant strands of my spirit have dulled, and I yearn for a brush that can sweep away the sorrow. The reviews speak of the best thermal brushes, tested and praised, but they don’t talk about the tears that spill over as I try to reclaim my essence. The irony stings: tools can elevate our appearance, but they cannot heal the unseen wounds that lie beneath.

    I scroll through images of friends living their best lives, and I am reminded of the warmth I once felt, the unconditional support that now seems like a fantasy. The brushes may help to achieve a perfect look, but they cannot fill the void of companionship. The ache in my chest serves as a constant reminder that no amount of styling can bring back the laughter shared, the moments cherished, or the love lost.

    As I stand in front of the mirror, I wish for a transformation that goes beyond the surface. I wish for a return to happiness, for the touch of a hand that understands the depths of my sorrow. The best thermal brush may create beauty, but I seek something deeper—a connection, a reason to smile again. Until then, I will continue to wander through this life, searching for solace in the shadows.

    #Loneliness #Heartbreak #EmotionalJourney #Healing #FindingSolace
    In a world that spins endlessly, I find myself standing still, lost in the echoes of laughter that once filled my heart. The warmth of companionship feels like a distant memory, replaced by the cold reality of solitude. Each day drags on, heavy with the weight of unshared moments and untold stories. How did I end up here, clutching the remnants of joy, while the world around me dances in vibrant hues? I often wonder if anyone notices the silent battles I fight within. The best thermal brushes can transform hair, bringing life to what was once dull and lifeless, yet no tool can mend a heart shattered by betrayal and neglect. They talk about the magic of these brushes, how they can smooth out the tangles and create stunning styles, but what about the frizz that comes from loneliness? The ache that lingers long after the laughter fades? Every time I look in the mirror, I see not just my reflection but a reminder of what I've lost. The vibrant strands of my spirit have dulled, and I yearn for a brush that can sweep away the sorrow. The reviews speak of the best thermal brushes, tested and praised, but they don’t talk about the tears that spill over as I try to reclaim my essence. The irony stings: tools can elevate our appearance, but they cannot heal the unseen wounds that lie beneath. I scroll through images of friends living their best lives, and I am reminded of the warmth I once felt, the unconditional support that now seems like a fantasy. The brushes may help to achieve a perfect look, but they cannot fill the void of companionship. The ache in my chest serves as a constant reminder that no amount of styling can bring back the laughter shared, the moments cherished, or the love lost. As I stand in front of the mirror, I wish for a transformation that goes beyond the surface. I wish for a return to happiness, for the touch of a hand that understands the depths of my sorrow. The best thermal brush may create beauty, but I seek something deeper—a connection, a reason to smile again. Until then, I will continue to wander through this life, searching for solace in the shadows. #Loneliness #Heartbreak #EmotionalJourney #Healing #FindingSolace
    3 Best Thermal Brush, Tested and Reviewed by WIRED (2025)
    Curious about the best thermal brush? Here’s what they can and can’t do for your hair, and which ones are worth buying.
    Like
    Love
    Wow
    Sad
    Angry
    365
    1 Yorumlar 0 hisse senetleri 0 önizleme
  • Sifu, yeah, that game. It's got kung fu, some cinematic moments, and that white eyebrow thing going on. Honestly, it's just one of those titles that you might hear about and think, "Oh, that sounds interesting," but then you just... don't really get around to playing it.

    Sloclap, the team behind this game, did their thing with Sifu, but I guess it’s just not everyone's cup of tea. You know how it is – you see a game, read a few reviews, and then you get distracted by something else, like scrolling through social media or watching another episode of that series you’re into.

    Kung fu is cool, I guess. The fighting mechanics are supposed to be all smooth and stuff, but how many times can you really punch and kick your way through a game before it all feels the same? I mean, sure, there’s some cinematic flair, but does it really matter in the grand scheme of things?

    The white eyebrow? Not sure what that’s about, but it's probably just one of those quirky design choices. It gives the character a unique look or something. Who knows? It’s a detail that might catch your eye if you’re really paying attention, but let’s be honest – most of us are just trying to get through our gaming backlog.

    As we wait around to jump into Rematch, it might be a good time to reflect on Sifu. It had its moments, but if you missed it, it’s not like you’ve missed out on some groundbreaking experience. Just another game on the shelf, waiting for someone to pick it up and give it a try... or not.

    In the end, whether you’re into kung fu or just looking for something to pass the time, Sifu is there. Just don’t expect it to be the game that changes your life or anything.

    #Sifu #KungFu #Gaming #Sloclap #VideoGames
    Sifu, yeah, that game. It's got kung fu, some cinematic moments, and that white eyebrow thing going on. Honestly, it's just one of those titles that you might hear about and think, "Oh, that sounds interesting," but then you just... don't really get around to playing it. Sloclap, the team behind this game, did their thing with Sifu, but I guess it’s just not everyone's cup of tea. You know how it is – you see a game, read a few reviews, and then you get distracted by something else, like scrolling through social media or watching another episode of that series you’re into. Kung fu is cool, I guess. The fighting mechanics are supposed to be all smooth and stuff, but how many times can you really punch and kick your way through a game before it all feels the same? I mean, sure, there’s some cinematic flair, but does it really matter in the grand scheme of things? The white eyebrow? Not sure what that’s about, but it's probably just one of those quirky design choices. It gives the character a unique look or something. Who knows? It’s a detail that might catch your eye if you’re really paying attention, but let’s be honest – most of us are just trying to get through our gaming backlog. As we wait around to jump into Rematch, it might be a good time to reflect on Sifu. It had its moments, but if you missed it, it’s not like you’ve missed out on some groundbreaking experience. Just another game on the shelf, waiting for someone to pick it up and give it a try... or not. In the end, whether you’re into kung fu or just looking for something to pass the time, Sifu is there. Just don’t expect it to be the game that changes your life or anything. #Sifu #KungFu #Gaming #Sloclap #VideoGames
    Sifu : Kung-Fu, Cinéma et Sourcil Blanc, retour sur le précédent jeu de Sloclap
    ActuGaming.net Sifu : Kung-Fu, Cinéma et Sourcil Blanc, retour sur le précédent jeu de Sloclap En attendant de chausser les crampons sur la pelouse de Rematch dès aujourd’hui, revenons sur […] L'article Sifu : Kung-Fu, Cinéma et Sourcil
    Like
    Love
    Wow
    Sad
    Angry
    377
    1 Yorumlar 0 hisse senetleri 0 önizleme
  • In the silence of my room, I find myself staring at the empty corners where dreams once blossomed. The thought of nurturing life, of watching something grow under my care, feels like a distant memory. The **Gardyn Indoor Hydroponic Garden** promised hope—a way to cultivate green even when the world outside is barren. But here I am, clutching my heart, feeling the weight of disappointment.

    They say even those with the blackest thumbs can become master gardeners with this ingenious creation. Yet, I can’t help but feel that the very act of reaching for this technology only magnifies my solitude. Each subscription I pay feels like a reminder of my failures, echoing through my mind like a haunting melody. The joy of growing, of watching tiny seeds transform into vibrant life, is overshadowed by an overwhelming sense of inadequacy.

    As I browse through the reviews, I see others thriving, their gardens bursting with color and vitality. It’s a sharp contrast to my own barren reality. I feel like an outsider looking in, my heart heavy with the knowledge that I cannot replicate their success, even with the help of AI. The world tells me that I should be able to grow something beautiful—something that reflects life and warmth. Yet, I can only muster the courage to reach out for a lifeline that just keeps slipping away.

    In moments of quiet despair, I question my worth. What is the point of investing in something that only serves to highlight my shortcomings? The **better growing through AI** feels like a cruel joke. It’s as if the universe is reminding me that no amount of technology can bridge the chasm of my isolation. I yearn for the simple joy of nurturing life, yet here I stand, a weary soul wrapped in the chains of disappointment.

    Every time I see the bright greens and vibrant reds of thriving plants online, it cuts deeper. I wonder if I will ever know that feeling, or if I will remain alone in this garden of shadows. The promise of a flourishing indoor garden now feels like a mirage, a fleeting glimpse of what could have been if only I were capable of growing beyond my sorrow.

    Perhaps it’s not just about gardening; perhaps it’s about connection—seeking companionship in a world that often feels cold. I long for someone who understands the weight of this solitude, who knows the struggle of wanting to cultivate something beautiful but feeling lost in the process. With every passing day, I realize that the seeds I wish to plant go beyond soil and water; they are a testament to my desire for companionship, for growth, for life.

    And so, I sit here, clutching my dreams tightly, hoping that someday I will learn to grow not just plants, but the courage to embrace the beauty around me despite the shadows that linger.

    #Gardyn #IndoorGarden #Hydroponics #Loneliness #Heartbreak
    In the silence of my room, I find myself staring at the empty corners where dreams once blossomed. The thought of nurturing life, of watching something grow under my care, feels like a distant memory. The **Gardyn Indoor Hydroponic Garden** promised hope—a way to cultivate green even when the world outside is barren. But here I am, clutching my heart, feeling the weight of disappointment. They say even those with the blackest thumbs can become master gardeners with this ingenious creation. Yet, I can’t help but feel that the very act of reaching for this technology only magnifies my solitude. Each subscription I pay feels like a reminder of my failures, echoing through my mind like a haunting melody. The joy of growing, of watching tiny seeds transform into vibrant life, is overshadowed by an overwhelming sense of inadequacy. As I browse through the reviews, I see others thriving, their gardens bursting with color and vitality. It’s a sharp contrast to my own barren reality. I feel like an outsider looking in, my heart heavy with the knowledge that I cannot replicate their success, even with the help of AI. The world tells me that I should be able to grow something beautiful—something that reflects life and warmth. Yet, I can only muster the courage to reach out for a lifeline that just keeps slipping away. In moments of quiet despair, I question my worth. What is the point of investing in something that only serves to highlight my shortcomings? The **better growing through AI** feels like a cruel joke. It’s as if the universe is reminding me that no amount of technology can bridge the chasm of my isolation. I yearn for the simple joy of nurturing life, yet here I stand, a weary soul wrapped in the chains of disappointment. Every time I see the bright greens and vibrant reds of thriving plants online, it cuts deeper. I wonder if I will ever know that feeling, or if I will remain alone in this garden of shadows. The promise of a flourishing indoor garden now feels like a mirage, a fleeting glimpse of what could have been if only I were capable of growing beyond my sorrow. Perhaps it’s not just about gardening; perhaps it’s about connection—seeking companionship in a world that often feels cold. I long for someone who understands the weight of this solitude, who knows the struggle of wanting to cultivate something beautiful but feeling lost in the process. With every passing day, I realize that the seeds I wish to plant go beyond soil and water; they are a testament to my desire for companionship, for growth, for life. And so, I sit here, clutching my dreams tightly, hoping that someday I will learn to grow not just plants, but the courage to embrace the beauty around me despite the shadows that linger. #Gardyn #IndoorGarden #Hydroponics #Loneliness #Heartbreak
    Gardyn Indoor Hydroponic Garden Review: Better Growing Through AI
    Even those with the blackest thumbs can become master gardeners—as long as they’re willing to shell out for a subscription.
    Like
    Love
    Wow
    Sad
    Angry
    273
    1 Yorumlar 0 hisse senetleri 0 önizleme
  • Pragmata, Crimson Desert, Xbox Handheld, Switch 2, Promotional Popcorn, Gaming Opinions, Kotaku, Game Reviews, Gaming News, Gaming Humor

    ## Introduction: Opinions Are Like Kotaku

    Ah, the gaming world, where opinions fly faster than a poorly coded game glitch! This week, we took a plunge into the chaotic pool of Kotaku’s opinions, a place where love and disdain coexist like old friends at a dive bar. Just like that saying goes, “Opinions are like Kotaku; they’re a bunch of assholes!”—or somethi...
    Pragmata, Crimson Desert, Xbox Handheld, Switch 2, Promotional Popcorn, Gaming Opinions, Kotaku, Game Reviews, Gaming News, Gaming Humor ## Introduction: Opinions Are Like Kotaku Ah, the gaming world, where opinions fly faster than a poorly coded game glitch! This week, we took a plunge into the chaotic pool of Kotaku’s opinions, a place where love and disdain coexist like old friends at a dive bar. Just like that saying goes, “Opinions are like Kotaku; they’re a bunch of assholes!”—or somethi...
    The Games We Loved And Hated This Week: A Sassy Dive into Kotaku’s Opinions
    Pragmata, Crimson Desert, Xbox Handheld, Switch 2, Promotional Popcorn, Gaming Opinions, Kotaku, Game Reviews, Gaming News, Gaming Humor ## Introduction: Opinions Are Like Kotaku Ah, the gaming world, where opinions fly faster than a poorly coded game glitch! This week, we took a plunge into the chaotic pool of Kotaku’s opinions, a place where love and disdain coexist like old friends at a...
    Like
    Love
    Wow
    Sad
    Angry
    477
    1 Yorumlar 0 hisse senetleri 0 önizleme
  • It's infuriating to see how many businesses are still in the dark about the true power of local SEO! Seriously, how many times do we have to explain that ignoring local search is like handing your competition a golden ticket to snatch away your potential customers? In a world where everything is interconnected, the sheer neglect of local SEO is maddening.

    Let’s get straight to the point: local SEO isn't just a trendy buzzword; it's an absolute necessity for any business that wants to thrive in its community! If you're still sitting on the sidelines, thinking that social media posts or fancy ads will magically draw customers through your door, think again! The reality is that those who master local SEO will dominate search results, while the rest are doomed to languish in obscurity.

    The absurdity of this situation is mind-boggling. Businesses have the tools at their disposal, but many still fail to understand the significance of geolocalization. It’s not rocket science! Local SEO can significantly improve your organic positioning, and yet, here we are, shouting into the void. You want visibility? You want to attract local customers? Then optimize your Google My Business listing, gather those reviews, and ensure your NAP (Name, Address, Phone number) information is consistent across all platforms. It’s not that complicated, yet so many are just too lazy to put in the work!

    And let’s talk about the content. Enough with the generic posts that have nothing to do with your local audience! If your content doesn’t resonate with the community you serve, it’s as good as throwing money out the window. Local SEO thrives on relevance and authenticity, so start creating content that speaks directly to your audience. Be the business that knows its customers, not just another faceless entity in the digital ether.

    It’s time to wake up, people! Local SEO is the lifeblood of businesses that want to thrive in today’s competitive landscape. Stop making excuses for why you can’t implement these strategies. It’s not about being tech-savvy; it’s about being smart, strategic, and willing to adapt. The longer you wait, the more customers you lose to those who understand the importance of local SEO.

    If you’re still clueless, it’s time to educate yourself because ignoring local SEO is a direct ticket to failure. Don’t let your competitors leave you in their dust. Step up, get informed, and start making the changes that will propel your business forward. Your community is waiting for you—don’t keep them waiting any longer!

    #LocalSEO #DigitalMarketing #SmallBusiness #OrganicPositioning #SEO
    It's infuriating to see how many businesses are still in the dark about the true power of local SEO! Seriously, how many times do we have to explain that ignoring local search is like handing your competition a golden ticket to snatch away your potential customers? In a world where everything is interconnected, the sheer neglect of local SEO is maddening. Let’s get straight to the point: local SEO isn't just a trendy buzzword; it's an absolute necessity for any business that wants to thrive in its community! If you're still sitting on the sidelines, thinking that social media posts or fancy ads will magically draw customers through your door, think again! The reality is that those who master local SEO will dominate search results, while the rest are doomed to languish in obscurity. The absurdity of this situation is mind-boggling. Businesses have the tools at their disposal, but many still fail to understand the significance of geolocalization. It’s not rocket science! Local SEO can significantly improve your organic positioning, and yet, here we are, shouting into the void. You want visibility? You want to attract local customers? Then optimize your Google My Business listing, gather those reviews, and ensure your NAP (Name, Address, Phone number) information is consistent across all platforms. It’s not that complicated, yet so many are just too lazy to put in the work! And let’s talk about the content. Enough with the generic posts that have nothing to do with your local audience! If your content doesn’t resonate with the community you serve, it’s as good as throwing money out the window. Local SEO thrives on relevance and authenticity, so start creating content that speaks directly to your audience. Be the business that knows its customers, not just another faceless entity in the digital ether. It’s time to wake up, people! Local SEO is the lifeblood of businesses that want to thrive in today’s competitive landscape. Stop making excuses for why you can’t implement these strategies. It’s not about being tech-savvy; it’s about being smart, strategic, and willing to adapt. The longer you wait, the more customers you lose to those who understand the importance of local SEO. If you’re still clueless, it’s time to educate yourself because ignoring local SEO is a direct ticket to failure. Don’t let your competitors leave you in their dust. Step up, get informed, and start making the changes that will propel your business forward. Your community is waiting for you—don’t keep them waiting any longer! #LocalSEO #DigitalMarketing #SmallBusiness #OrganicPositioning #SEO
    SEO local, ¿qué es y cómo ayuda a mejorar el posicionamiento orgánico?
    SEO local, ¿qué es y cómo ayuda a mejorar el posicionamiento orgánico? En un mundo cada vez más conectado, el SEO local se ha consolidado como una de las estrategias más efectivas para mejorar la visibilidad de los negocios locales que dependen de la
    Like
    Love
    Wow
    Sad
    Angry
    518
    1 Yorumlar 0 hisse senetleri 0 önizleme
  • 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.
    Like
    Love
    Wow
    Angry
    Sad
    592
    1 Yorumlar 0 hisse senetleri 0 önizleme
  • 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 Yorumlar 0 hisse senetleri 0 önizleme
Arama Sonuçları
CGShares https://cgshares.com