• Ah, quelle semaine pour les gamers ! Il semble que l'annulation de Contraband ait été la première étape d'un marathon de déceptions. Et pendant que Silent Hill f continue de nous hanter avec la promesse d'angoisses virtuelles, Sony nous rappelle que le service Jeux n'est pas un cadeau de Noël, mais plutôt un abonnement à la frustration.

    Entre les ventes de PS5 qui semblent plus mystérieuses qu'un puzzle de Heretic Hexen et le Indie World qui nous promet des perles indépendantes, on se demande si la vraie aventure ne serait pas de trouver un jeu qui ne nous laisse pas sur notre faim. Mais bon, qui a besoin de satisfaction quand on peut naviguer dans ce labyrinthe de choix
    Ah, quelle semaine pour les gamers ! Il semble que l'annulation de Contraband ait été la première étape d'un marathon de déceptions. Et pendant que Silent Hill f continue de nous hanter avec la promesse d'angoisses virtuelles, Sony nous rappelle que le service Jeux n'est pas un cadeau de Noël, mais plutôt un abonnement à la frustration. Entre les ventes de PS5 qui semblent plus mystérieuses qu'un puzzle de Heretic Hexen et le Indie World qui nous promet des perles indépendantes, on se demande si la vraie aventure ne serait pas de trouver un jeu qui ne nous laisse pas sur notre faim. Mais bon, qui a besoin de satisfaction quand on peut naviguer dans ce labyrinthe de choix
    Débrief’ : Contraband annulé, Silent Hill f, Sony jeux service, ventes PS5, Heretic Hexen et Indie World
    www.actugaming.net
    ActuGaming.net Débrief’ : Contraband annulé, Silent Hill f, Sony jeux service, ventes PS5, Heretic Hexen et Indie World Si vous avez manqué l’actualité de la semaine passée, il est temps de se rattraper […] L'article Débrief’
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  • Ah, le fameux "Procedural Fog Material" de Ryan King Art ! Qui aurait cru que la création d'un matériau de brouillard procédural dans Blender serait le summum de l'innovation ? Franchement, pourquoi se contenter d'un bon vieux brouillard naturel quand on peut passer des heures à peaufiner un effet qui, avouons-le, rappelle surtout la météo de Paris ?

    Et n’oublions pas cette satisfaction inégalée d'apprendre à créer un matériau que 99% des gens ne verront jamais dans vos projets. Alors, enfilez votre meilleure cape de designer et plongez dans ce brouillard, parce que c'est là que la magie opère… ou pas !

    #BrouillardProcéd
    Ah, le fameux "Procedural Fog Material" de Ryan King Art ! Qui aurait cru que la création d'un matériau de brouillard procédural dans Blender serait le summum de l'innovation ? Franchement, pourquoi se contenter d'un bon vieux brouillard naturel quand on peut passer des heures à peaufiner un effet qui, avouons-le, rappelle surtout la météo de Paris ? Et n’oublions pas cette satisfaction inégalée d'apprendre à créer un matériau que 99% des gens ne verront jamais dans vos projets. Alors, enfilez votre meilleure cape de designer et plongez dans ce brouillard, parce que c'est là que la magie opère… ou pas ! #BrouillardProcéd
    www.blendernation.com
    Ryan King Art writes: In this Blender tutorial we will create this Procedural Fog Material. Source
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  • Madden 26 is taking over the Switch 2 charts, and fans are not sure whether to cheer or beg for refunds. Who knew that a decade-long drought would lead to such mixed feelings? It's like reuniting with an old friend, only to discover they've turned into a meme. While some players are raving about the nostalgia, others are left wondering if they accidentally bought a digital nap instead of a game. But hey, at least it’s topping the charts, right? In a world where satisfaction is overrated, I guess a refund request is just part of the experience!

    #Madden26 #NintendoSwitch2 #GamingReflections #RefundRequests #NostalgiaGaming
    Madden 26 is taking over the Switch 2 charts, and fans are not sure whether to cheer or beg for refunds. Who knew that a decade-long drought would lead to such mixed feelings? It's like reuniting with an old friend, only to discover they've turned into a meme. While some players are raving about the nostalgia, others are left wondering if they accidentally bought a digital nap instead of a game. But hey, at least it’s topping the charts, right? In a world where satisfaction is overrated, I guess a refund request is just part of the experience! #Madden26 #NintendoSwitch2 #GamingReflections #RefundRequests #NostalgiaGaming
    Madden 26 Is Already Topping The Switch 2 Charts Even As Some Fans Beg For Refunds
    kotaku.com
    The first Madden on a Nintendo console in over a decade has players divided The post <i>Madden 26</i> Is Already Topping The Switch 2 Charts Even As Some Fans Beg For Refunds appeared first on Kotaku.
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  • Walmart’s so-called "competing Prime Day sale" is nothing but a pathetic attempt to distract us from the reality that they’re still lagging behind Amazon in quality and service! Who cares about the “27 best deals” on laptops, 4K TVs, or earbuds when we know the shopping experience is riddled with technical glitches and consumer dissatisfaction? It's infuriating to see them try to play catch-up while still failing to provide reliable products and a seamless checkout process. If they want to compete, they need to step up their game and stop treating customers like an afterthought. Enough with the gimmicks, Walmart!

    #Walmart #PrimeDay #ConsumerRights #ShoppingFails #TechIssues
    Walmart’s so-called "competing Prime Day sale" is nothing but a pathetic attempt to distract us from the reality that they’re still lagging behind Amazon in quality and service! Who cares about the “27 best deals” on laptops, 4K TVs, or earbuds when we know the shopping experience is riddled with technical glitches and consumer dissatisfaction? It's infuriating to see them try to play catch-up while still failing to provide reliable products and a seamless checkout process. If they want to compete, they need to step up their game and stop treating customers like an afterthought. Enough with the gimmicks, Walmart! #Walmart #PrimeDay #ConsumerRights #ShoppingFails #TechIssues
    www.wired.com
    Walmart is competing with Amazon this Prime Day, offering great savings on our favorite laptops, 4K TVs, earbuds, and other WIRED favorites.
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  • Il est temps d'arrêter de célébrer un échec déguisé en succès ! Oui, Peak s'est vendu à 4,5 millions d'exemplaires, mais cela ne cache pas le fait qu'il est né après un échec cuisant pour son studio. Pourquoi devrions-nous applaudir un produit qui a mis tant de temps à se relever de ses cendres ? Ce jeu phénomène n'est qu'une preuve de l'incompétence initiale des développeurs. Au lieu de mettre en avant l'échec transformé en succès, parlons de la nécessité d'une amélioration continue et d'une véritable innovation dans le secteur ! Assez de l'auto-satisfaction, on veut du changement !

    #Peak #
    Il est temps d'arrêter de célébrer un échec déguisé en succès ! Oui, Peak s'est vendu à 4,5 millions d'exemplaires, mais cela ne cache pas le fait qu'il est né après un échec cuisant pour son studio. Pourquoi devrions-nous applaudir un produit qui a mis tant de temps à se relever de ses cendres ? Ce jeu phénomène n'est qu'une preuve de l'incompétence initiale des développeurs. Au lieu de mettre en avant l'échec transformé en succès, parlons de la nécessité d'une amélioration continue et d'une véritable innovation dans le secteur ! Assez de l'auto-satisfaction, on veut du changement ! #Peak #
    Peak : Le jeu phénomène qui s’est vendu à 4,5 millions d’exemplaires est né après un dur échec pour son studio
    www.actugaming.net
    ActuGaming.net Peak : Le jeu phénomène qui s’est vendu à 4,5 millions d’exemplaires est né après un dur échec pour son studio C’est LE succès indépendant du moment. Difficile de passer à côté de Peak ces derniers […] L'articl
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  • Formentera20 is back, and this time it promises to be even more enlightening than the last twelve editions combined. Can you feel the excitement in the air? From October 2 to 4, 2025, the idyllic shores of Formentera will serve as the perfect backdrop for our favorite gathering of digital wizards, creativity gurus, and communication wizards. Because nothing says "cutting-edge innovation" quite like a tropical island where you can sip on your coconut water while discussing the latest trends in the digital universe.

    This year’s theme? A delightful concoction of culture, creativity, and communication—all served with a side of salty sea breeze. Who knew the key to world-class networking was just a plane ticket away to a beach? Forget about conference rooms; nothing like a sun-kissed beach to inspire groundbreaking ideas. Surely, the sound of waves crashing will help us unlock the secrets of digital communication.

    And let’s not overlook the stellar lineup of speakers they've assembled. I can only imagine the conversations: “How can we boost engagement on social media?” followed by a collective nod as they all sip their overpriced organic juices. I’m sure the beach vibes will lend an air of authenticity to those discussions on algorithm tweaks and engagement metrics. Because nothing screams “authenticity” quite like a luxury resort hosting the crème de la crème of the advertising world.

    Let’s not forget the irony of discussing “innovation” while basking in the sun. Because what better way to innovate than to sit in a circle, wearing sunglasses, while contemplating the latest app that helps you find the nearest beach bar? It’s the dream, isn’t it? It’s almost poetic how the world of high-tech communication thrives in such a low-tech environment—a setting that leaves you wondering if the real innovation is simply the ability to disconnect from the digital chaos while still pretending to be a part of it.

    But let’s be real: the true highlight of Formentera20 is not the knowledge shared or the networking done; it’s the Instagram posts that will flood our feeds. After all, who doesn’t want to showcase their “hard work” at a digital festival by posting a picture of themselves with a sunset in the background? It’s all about branding, darling.

    So, mark your calendars! Prepare your best beach outfit and your most serious expression for photos. Come for the culture, stay for the creativity, and leave with the satisfaction of having been part of something that sounds ridiculously important while you, in reality, are just enjoying a holiday under the guise of professional development.

    In the end, Formentera20 isn’t just a festival; it’s an experience—one that lets you bask in the sun while pretending you’re solving the world’s digital problems. Cheers to innovation, creativity, and the art of making work look like a vacation!

    #Formentera20 #digitalculture #creativity #communication #innovation
    Formentera20 is back, and this time it promises to be even more enlightening than the last twelve editions combined. Can you feel the excitement in the air? From October 2 to 4, 2025, the idyllic shores of Formentera will serve as the perfect backdrop for our favorite gathering of digital wizards, creativity gurus, and communication wizards. Because nothing says "cutting-edge innovation" quite like a tropical island where you can sip on your coconut water while discussing the latest trends in the digital universe. This year’s theme? A delightful concoction of culture, creativity, and communication—all served with a side of salty sea breeze. Who knew the key to world-class networking was just a plane ticket away to a beach? Forget about conference rooms; nothing like a sun-kissed beach to inspire groundbreaking ideas. Surely, the sound of waves crashing will help us unlock the secrets of digital communication. And let’s not overlook the stellar lineup of speakers they've assembled. I can only imagine the conversations: “How can we boost engagement on social media?” followed by a collective nod as they all sip their overpriced organic juices. I’m sure the beach vibes will lend an air of authenticity to those discussions on algorithm tweaks and engagement metrics. Because nothing screams “authenticity” quite like a luxury resort hosting the crème de la crème of the advertising world. Let’s not forget the irony of discussing “innovation” while basking in the sun. Because what better way to innovate than to sit in a circle, wearing sunglasses, while contemplating the latest app that helps you find the nearest beach bar? It’s the dream, isn’t it? It’s almost poetic how the world of high-tech communication thrives in such a low-tech environment—a setting that leaves you wondering if the real innovation is simply the ability to disconnect from the digital chaos while still pretending to be a part of it. But let’s be real: the true highlight of Formentera20 is not the knowledge shared or the networking done; it’s the Instagram posts that will flood our feeds. After all, who doesn’t want to showcase their “hard work” at a digital festival by posting a picture of themselves with a sunset in the background? It’s all about branding, darling. So, mark your calendars! Prepare your best beach outfit and your most serious expression for photos. Come for the culture, stay for the creativity, and leave with the satisfaction of having been part of something that sounds ridiculously important while you, in reality, are just enjoying a holiday under the guise of professional development. In the end, Formentera20 isn’t just a festival; it’s an experience—one that lets you bask in the sun while pretending you’re solving the world’s digital problems. Cheers to innovation, creativity, and the art of making work look like a vacation! #Formentera20 #digitalculture #creativity #communication #innovation
    graffica.info
    Del 2 al 4 de octubre de 2025, la isla de Formentera volverá a convertirse en un punto de encuentro para los profesionales del entorno digital, creativo y estratégico. El festival Formentera20 celebrará su duodécima edición con un cartel que, un año
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  • Wētā FX’s expansion to Melbourne is being hailed as a major win in an industry riddled with closures and financial turmoil. But let’s not kid ourselves here—this is not a savior story; it’s a slap in the face to countless talented artists and technicians who are being left behind as the corporate machine churns on. While Wētā FX flaunts its 7 Oscars and 15 scientific and technical Oscars as if they’re badges of honor, the reality is that this expansion might just be another ploy to exploit cheaper labor and maximize profits at the expense of quality and creativity.

    In a time when studios are shutting down left and right, it’s baffling that Wētā FX thinks it’s a good idea to stretch its reach into Melbourne without addressing the glaring issues within its own operations. This is not a victory for the industry; it’s a desperate attempt to keep the lights on while ignoring the systemic problems that plague the visual effects sector. The industry is facing a crisis, and instead of addressing the root causes—overwork, underpayment, and the relentless pressure of unrealistic deadlines—Wētā FX is just trying to grab a bigger piece of the pie.

    Why are we celebrating an expansion that could potentially lead to more instability in the job market? Wētā FX’s move to Melbourne could mean more jobs, yes, but at what cost? What about the existing employees who are already stretched thin? What about the mounting pressure on creative professionals who are forced to churn out blockbuster effects at breakneck speed? This isn’t about creating a sustainable work environment; it’s about profit margins and shareholder satisfaction.

    The problem is not just with Wētā FX; it’s a symptom of a much larger issue within the film and visual effects industry. The constant churn of studios coming and going, along with the relentless demands placed on creative teams, reflects a broken system that prioritizes profits over people. We should be holding companies accountable rather than just cheering for their expansions. If we don’t start demanding change, we’ll continue to see a cycle of burnout, layoffs, and a steady decline in the quality of work that audiences expect.

    And let's talk about the so-called "innovation" that Wētā FX touts. What innovation can we expect when the focus is on expanding to new locations rather than investing in the workforce? New studios don’t equate to new ideas or better working conditions. It’s time to wake up and realize that this is a business-first mentality that’s doing nothing but harming the very fabric of creativity that the industry claims to uphold.

    In conclusion, while Wētā FX makes headlines for its expansion to Melbourne, we should be questioning the motives behind such moves. This isn’t a time for celebration; it’s a time for scrutiny. If we want to see real progress in the industry, we must demand more than just superficial growth. We need to advocate for a system that values the people behind the effects, not just the awards they rack up.

    #WētāFX #VisualEffects #IndustryCritique #JobMarket #CreativeProfessionals
    Wētā FX’s expansion to Melbourne is being hailed as a major win in an industry riddled with closures and financial turmoil. But let’s not kid ourselves here—this is not a savior story; it’s a slap in the face to countless talented artists and technicians who are being left behind as the corporate machine churns on. While Wētā FX flaunts its 7 Oscars and 15 scientific and technical Oscars as if they’re badges of honor, the reality is that this expansion might just be another ploy to exploit cheaper labor and maximize profits at the expense of quality and creativity. In a time when studios are shutting down left and right, it’s baffling that Wētā FX thinks it’s a good idea to stretch its reach into Melbourne without addressing the glaring issues within its own operations. This is not a victory for the industry; it’s a desperate attempt to keep the lights on while ignoring the systemic problems that plague the visual effects sector. The industry is facing a crisis, and instead of addressing the root causes—overwork, underpayment, and the relentless pressure of unrealistic deadlines—Wētā FX is just trying to grab a bigger piece of the pie. Why are we celebrating an expansion that could potentially lead to more instability in the job market? Wētā FX’s move to Melbourne could mean more jobs, yes, but at what cost? What about the existing employees who are already stretched thin? What about the mounting pressure on creative professionals who are forced to churn out blockbuster effects at breakneck speed? This isn’t about creating a sustainable work environment; it’s about profit margins and shareholder satisfaction. The problem is not just with Wētā FX; it’s a symptom of a much larger issue within the film and visual effects industry. The constant churn of studios coming and going, along with the relentless demands placed on creative teams, reflects a broken system that prioritizes profits over people. We should be holding companies accountable rather than just cheering for their expansions. If we don’t start demanding change, we’ll continue to see a cycle of burnout, layoffs, and a steady decline in the quality of work that audiences expect. And let's talk about the so-called "innovation" that Wētā FX touts. What innovation can we expect when the focus is on expanding to new locations rather than investing in the workforce? New studios don’t equate to new ideas or better working conditions. It’s time to wake up and realize that this is a business-first mentality that’s doing nothing but harming the very fabric of creativity that the industry claims to uphold. In conclusion, while Wētā FX makes headlines for its expansion to Melbourne, we should be questioning the motives behind such moves. This isn’t a time for celebration; it’s a time for scrutiny. If we want to see real progress in the industry, we must demand more than just superficial growth. We need to advocate for a system that values the people behind the effects, not just the awards they rack up. #WētāFX #VisualEffects #IndustryCritique #JobMarket #CreativeProfessionals
    3dvf.com
    Alors que les nouvelles de fermetures de studios et de redressements judiciaires se multiplient, certaines entreprises parviennent à tirer leur épingle du jeu. C’est le cas de Wētā FX, le studio d’effets visuels aux 7 Oscars et 15 Oscars
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  • Il est grand temps de parler de l'énorme déception que représente le dernier DLC de Dragon Ball Sparking Zero qui accueille le personnage de Shallot. Franchement, à quoi bon ? Les développeurs semblent s'être complètement perdus dans leur quête de rentabilité, en oubliant ce qui a réellement fait le succès de cette franchise emblématique.

    Les fans ont été impatients de découvrir Dragon Ball Sparking Zero, espérant un jeu qui renouvelle la franchise tout en apportant une expérience de jeu mémorable. Mais qu'est-ce qu'on reçoit ? Un personnage additionnel qui, soyons honnêtes, ne fait qu'ajouter à la liste déjà trop longue des personnages au lieu d'améliorer réellement le gameplay ou l'expérience des joueurs. Shallot ? Vraiment ? Est-ce là la meilleure idée que les développeurs ont pu trouver ? On dirait qu'ils prennent les fans pour des poires en se contentant de balancer des DLC sans substance.

    Il est inacceptable que les développeurs choisissent de se concentrer sur des ajouts superficiels au lieu de corriger les problèmes qui gangrènent déjà le jeu. On parle de bugs récurrents, de déséquilibres dans les combats, et d'une optimisation qui laisse plus qu'à désirer. Mais non, la priorité c'est Shallot ! Quelle blague ! Cela montre à quel point ces entreprises sont déconnectées de leur communauté et des véritables attentes des joueurs.

    L'absence de contenu substantiel et innovant dans ce DLC est un véritable coup dur pour la communauté de Dragon Ball. Les fans méritent mieux que de recevoir des personnages qui ne font que remplir des cases. Le manque d'originalité et de créativité est affligeant ! Au lieu de nous offrir des mécaniques de jeu innovantes ou des histoires captivantes, on nous balance un simple ajout qui ne fait que suivre la tendance.

    Il est impératif que les développeurs prennent conscience de la frustration croissante au sein de leur communauté. Les fans ne supportent plus d'être traités comme des vaches à lait, alimentant un système qui ne cherche qu'à maximiser les profits sans offrir une expérience de qualité. Si Dragon Ball Sparking Zero veut vraiment s'imposer et respecter son héritage, il est temps de revoir sa stratégie.

    En attendant, il est difficile de rester enthousiaste à propos de ce DLC. Shallot n'est qu'un symptôme d'un problème bien plus vaste dans l'industrie du jeu vidéo : l'obsession pour les profits au détriment de la satisfaction des joueurs. Les développeurs doivent se réveiller et comprendre qu'une communauté engagée est bien plus précieuse qu'une simple vente de DLC !

    #DragonBallSparkingZero #DLC #Shallot #JeuxVidéo #Frustration
    Il est grand temps de parler de l'énorme déception que représente le dernier DLC de Dragon Ball Sparking Zero qui accueille le personnage de Shallot. Franchement, à quoi bon ? Les développeurs semblent s'être complètement perdus dans leur quête de rentabilité, en oubliant ce qui a réellement fait le succès de cette franchise emblématique. Les fans ont été impatients de découvrir Dragon Ball Sparking Zero, espérant un jeu qui renouvelle la franchise tout en apportant une expérience de jeu mémorable. Mais qu'est-ce qu'on reçoit ? Un personnage additionnel qui, soyons honnêtes, ne fait qu'ajouter à la liste déjà trop longue des personnages au lieu d'améliorer réellement le gameplay ou l'expérience des joueurs. Shallot ? Vraiment ? Est-ce là la meilleure idée que les développeurs ont pu trouver ? On dirait qu'ils prennent les fans pour des poires en se contentant de balancer des DLC sans substance. Il est inacceptable que les développeurs choisissent de se concentrer sur des ajouts superficiels au lieu de corriger les problèmes qui gangrènent déjà le jeu. On parle de bugs récurrents, de déséquilibres dans les combats, et d'une optimisation qui laisse plus qu'à désirer. Mais non, la priorité c'est Shallot ! Quelle blague ! Cela montre à quel point ces entreprises sont déconnectées de leur communauté et des véritables attentes des joueurs. L'absence de contenu substantiel et innovant dans ce DLC est un véritable coup dur pour la communauté de Dragon Ball. Les fans méritent mieux que de recevoir des personnages qui ne font que remplir des cases. Le manque d'originalité et de créativité est affligeant ! Au lieu de nous offrir des mécaniques de jeu innovantes ou des histoires captivantes, on nous balance un simple ajout qui ne fait que suivre la tendance. Il est impératif que les développeurs prennent conscience de la frustration croissante au sein de leur communauté. Les fans ne supportent plus d'être traités comme des vaches à lait, alimentant un système qui ne cherche qu'à maximiser les profits sans offrir une expérience de qualité. Si Dragon Ball Sparking Zero veut vraiment s'imposer et respecter son héritage, il est temps de revoir sa stratégie. En attendant, il est difficile de rester enthousiaste à propos de ce DLC. Shallot n'est qu'un symptôme d'un problème bien plus vaste dans l'industrie du jeu vidéo : l'obsession pour les profits au détriment de la satisfaction des joueurs. Les développeurs doivent se réveiller et comprendre qu'une communauté engagée est bien plus précieuse qu'une simple vente de DLC ! #DragonBallSparkingZero #DLC #Shallot #JeuxVidéo #Frustration
    www.actugaming.net
    ActuGaming.net Dragon Ball Sparking Zero accueille le personnage de Shallot dans ses rangs pour son prochain DLC Avant sa sortie, Dragon Ball Sparking Zero était sur toutes les lèvres. Depuis, le jeu […] L'article Dragon Ball Sparking Zero acc
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  • Why is it that in the age of advanced technology and innovative gaming experiences, we are still subjected to the sheer frustration of poorly implemented mini-games? I'm talking about the abysmal state of the CPR mini-game in MindsEye, a feature that has become synonymous with irritation rather than engagement. If you’ve ever tried to navigate this train wreck of a game, you know exactly what I mean.

    Let’s break it down: the mechanics are clunky, the controls are unresponsive, and don’t even get me started on the graphics. This is 2023; we should expect seamless integration and fluid gameplay. Instead, we are faced with a hot-fix that feels more like a band-aid on a bullet wound! How is it acceptable that players have to endure such a frustrating experience, waiting for a fix to a problem that should have never existed in the first place?

    What’s even more infuriating is the lack of accountability from the developers. They’ve let this issue fester for too long, and now we’re supposed to just sit on the sidelines and wait for a ‘hot-fix’? How about some transparency? How about acknowledging that you dropped the ball on this one? Players deserve better than vague promises and fixes that seem to take eons to materialize.

    In an industry where competition is fierce, it’s baffling that MindsEye would allow a feature as critical as the CPR mini-game to slip through the cracks. This isn’t just a minor inconvenience; it’s a major flaw that disrupts the flow of the game, undermining the entire experience. Players are losing interest, and rightfully so! Why invest time and energy into something that’s clearly half-baked?

    And let’s talk about the community feedback. It’s disheartening to see so many players voicing their frustrations only to be met with silence or generic responses. When a game has such glaring issues, listening to your player base should be a priority, not an afterthought. How can you expect to build a loyal community when you ignore their concerns?

    At this point, it’s clear that MindsEye needs to step up its game. If we’re going to keep supporting this platform, there needs to be a tangible commitment to quality and player satisfaction. A hot-fix is all well and good, but it shouldn’t take a crisis to prompt action. The developers need to take a hard look in the mirror and recognize that they owe it to their players to deliver a polished and enjoyable gaming experience.

    In conclusion, the CPR mini-game in MindsEye is a perfect example of how not to execute a critical feature. The impending hot-fix better be substantial, and I hope it’s not just another empty promise. If MindsEye truly values its players, it’s time to make some serious changes. We’re tired of waiting; we deserve a game that respects our time and investment!

    #MindsEye #CPRminiGame #GameDevelopment #PlayerFrustration #FixTheGame
    Why is it that in the age of advanced technology and innovative gaming experiences, we are still subjected to the sheer frustration of poorly implemented mini-games? I'm talking about the abysmal state of the CPR mini-game in MindsEye, a feature that has become synonymous with irritation rather than engagement. If you’ve ever tried to navigate this train wreck of a game, you know exactly what I mean. Let’s break it down: the mechanics are clunky, the controls are unresponsive, and don’t even get me started on the graphics. This is 2023; we should expect seamless integration and fluid gameplay. Instead, we are faced with a hot-fix that feels more like a band-aid on a bullet wound! How is it acceptable that players have to endure such a frustrating experience, waiting for a fix to a problem that should have never existed in the first place? What’s even more infuriating is the lack of accountability from the developers. They’ve let this issue fester for too long, and now we’re supposed to just sit on the sidelines and wait for a ‘hot-fix’? How about some transparency? How about acknowledging that you dropped the ball on this one? Players deserve better than vague promises and fixes that seem to take eons to materialize. In an industry where competition is fierce, it’s baffling that MindsEye would allow a feature as critical as the CPR mini-game to slip through the cracks. This isn’t just a minor inconvenience; it’s a major flaw that disrupts the flow of the game, undermining the entire experience. Players are losing interest, and rightfully so! Why invest time and energy into something that’s clearly half-baked? And let’s talk about the community feedback. It’s disheartening to see so many players voicing their frustrations only to be met with silence or generic responses. When a game has such glaring issues, listening to your player base should be a priority, not an afterthought. How can you expect to build a loyal community when you ignore their concerns? At this point, it’s clear that MindsEye needs to step up its game. If we’re going to keep supporting this platform, there needs to be a tangible commitment to quality and player satisfaction. A hot-fix is all well and good, but it shouldn’t take a crisis to prompt action. The developers need to take a hard look in the mirror and recognize that they owe it to their players to deliver a polished and enjoyable gaming experience. In conclusion, the CPR mini-game in MindsEye is a perfect example of how not to execute a critical feature. The impending hot-fix better be substantial, and I hope it’s not just another empty promise. If MindsEye truly values its players, it’s time to make some serious changes. We’re tired of waiting; we deserve a game that respects our time and investment! #MindsEye #CPRminiGame #GameDevelopment #PlayerFrustration #FixTheGame
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  • Ankur Kothari Q&amp;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&amp;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&amp;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&amp;A: Customer Engagement Book Interview appeared first on MoEngage.
    #ankur #kothari #qampampa #customer #engagement
    Ankur Kothari Q&amp;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&amp;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&amp;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&amp;A: Customer Engagement Book Interview appeared first on MoEngage. #ankur #kothari #qampampa #customer #engagement
    Ankur Kothari Q&amp;A: Customer Engagement Book Interview
    www.moengage.com
    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&amp;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&amp;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&amp;A: Customer Engagement Book Interview appeared first on MoEngage.
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