Pictory的动态

?? Launch alert ?? At Hubble Money, we're on a mission to make shopping an exciting and rewarding experience for everyone! With the launch of our brand-new Web-store, now anyone can unlock incredible savings on over 300 top brands in just 3 simple steps: ? Head over to www.myhubble.money ? Select and purchase gift cards for your favourite brands ? Use gift cards to pay for your shopping PS. ? Content & recommendations are fully powered by AI ?

A few years ago, I didn’t know what a Recommender System was. I mean, sure, I had an abstract understanding that Netflix used algorithms to predict the content I’d enjoy. But I really knew nothing about how that hyper-personalized sausage was made. Since setting out to build Outdone (outdone.io), though, Recommender Systems have become one of the topics I think about most often. Building a #RecSys for gifting has always felt like a uniquely difficult challenge. In a traditional e-commerce setting, if User X has a similar shopping history to User Y, and User Y buys a new pair of headphones. A good Rec Sys could say with a high level of confidence that User X would also like those headphones—and recommend them accordingly. (Of course, an oversimplification, but the point remains.) In the gifting context, however, we are tasked with solving for two different personas—buyer and recipient—with an incomplete set of information on both sides. For one, we can’t rely on the recipient's shopping history since the recipient is not the one doing the shopping. Instead, we need to effectively and efficiently gather relevant information from the buyer about the recipient—what they enjoy, how they dress, how they spend their time. And secondly, even when shopping for the same recipient, two buyers might have completely different ideas of what a “good” gift looks like. So we must account for that. To demonstrate this second point more clearly… it’s unlikely that your wife and your grandmother will show up to your birthday party with the same gift in tow. They have different budgets, different consideration sets, and different gifting styles—yet both still might arrive with equally “good” gifts. A perfect gift recommender system must account for this buyer context while identifying products that fit the unique style and lifestyle of the recipient. We’ve been working on building a perfect gift recommender for years, and we still have yet to crack the code. We’ve tried roughly a half dozen Rec Sys frameworks to solve the problem, each with a slew of iterations underneath them. And still, our data shows us that, while we’re moving in the right direction, we’ve got a ways to go. Thankfully, try as they might, the other folks aiming to solve this problem (including some of the largest e-commerce platforms in the world!) have also come up short. So the prize is still there for the taking. ??

“We didn’t have segmentation where it matters MOST...” Great clip I just had to share from my chat with Josh "Snow" Elizetxe discussing the impact of PrettyDamnQuick's platform. And he's not alone on this, our data constantly reinforces it for many brands—not segmenting in checkout dilutes all the effort put in on the frontend.

We’re proud to have revamped Dirty Lemon’s SMS shopping experience, turning challenges into innovative solutions. Over the past five months, we tackled bugs, added crucial features, and enhanced the user experience—all while managing the entire tech infrastructure. From seamless order distribution to a chatbot with personality, we’re revolutionizing the way you buy beverages. Join the movement and discover what’s possible when tech meets refreshment! ?? __ #MaterialInstinct #Innovation #TechMeetsBeverage #DirtyLemon #ProductDesign #ExperienceDesign #BusinessGrowth #Innovation #UserExperience #DesignAndDevelopment #GrowingCompanies #CompanyGrowth #ProductDevelopment #BusinessSolutions #CustomerExperience #CreativeSolutions #TechInnovation #BusinessDevelopment #DesignThinking

Finding the right gift shouldn't be hard. With just a quick chat, customers can get tailored suggestions and even add gift wrapping - all in a few clicks. Small conveniences make a big difference in the shopping experience. ?? #CustomerSupport #AIChatbots #SimpleSolutions #BotWot #Chatbot

Looking to boost your subscriber base or reduce churn? ?? We’re thrilled to announce the new rediem x Stay AI subscription milestone feature! This integration allows you to identify those crucial drop-off points in the customer journey and step in with the right incentive—think experiential rewards, free products, gift cards, or bonus points—before subscribers decide to cancel. At Stay, our goal is to turn one-time purchases into loyal, long-term relationships. This partnership with rediem takes that mission even further, empowering brands to keep their most valuable customers engaged! Curious how this can work for your brand? Go check them out! https://hubs.la/Q02X2t2D0

Gear up for a game-changing session at #FISEmerald2024! "Personalizing Engagement Strategy to the Individual" is not just another breakout session—it’s your ticket to making your brand the one everyone remembers, even on a crowded payment screen. Join us here: https://spr.ly/6045jsIot on Tuesday, May 21st, from 2:30-3:15 PM, and let Cheryl Nuttall and Rachelle Baumbach, our loyalty program experts, show you how to turn casual customers into raving fans with strategies so personalized they’ll think you’re reading their minds. Ready to make your brand stick like superglue at checkout? RSVP before it's too late! Let’s make the future of personalization not just a trend, but a revolution. See you there!! #Personalization #LoyaltyPrograms #BrandEngagement

We're leveraged Dashbot's Data Slicer to delve deep into unstructured conversations about Taco Bell ?? We analyzed: ? Live Chats: Over 500 interactions from customer care ? App Reviews: Feedback from the App Store, Google Play Store, and TripAdvisor ? Social Media: Comments and messages from Twitter ? Surveys:?Post-purchase satisfaction surveys Our analysis reveals that ordering issues top the chart of customer concerns, followed closely by difficulties with the app and logging in. Discover how finding hidden insights can transform customer service and experience. #CustomerInsights #DataAnalysis #Analytics #MachineLearning #LLMs

Gear up for a game-changing session at #FISEmerald2024! "Personalizing Engagement Strategy to the Individual" is not just another breakout session—it’s your ticket to making your brand the one everyone remembers, even on a crowded payment screen. Join us here: https://spr.ly/6045jsxTU on Tuesday, May 21st, from 2:30-3:15 PM, and let Cheryl Nuttall and Rachelle Baumbach, our loyalty program experts, show you how to turn casual customers into raving fans with strategies so personalized they’ll think you’re reading their minds. Ready to make your brand stick like superglue at checkout? RSVP before it's too late! Let’s make the future of personalization not just a trend, but a revolution. See you there!! #Personalization #LoyaltyPrograms #BrandEngagement