#personalization

#personalization

Within five years, saying your platform offers personalized recommendations will sound as dated as asking someone to rewind the tape. Personalization has already shifted from competitive differentiator to baseline expectation - and the transition is moving faster than most marketing teams realize. The evidence is already visible: 61% of consumers will abandon brands that miss the mark, and 65% expect companies to understand their needs without being told.

If we look at the way consumer purchase behavior was back in the day, it was: You see an ad, you go to the store, you make a purchase," said Bryant. "Now, it's not as linear, and marketers really need to think about things more fluidly. Consumers also aren't waking up in the morning and thinking, 'today I'm [exclusively] a digital shopper.'

Retailers are facing increased competition at a time when high inflation and higher prices are limiting consumers' spending potential. This year, brands will have to work harder than ever to cut through the noise and drive purchase intent, and data marketing can and should play a central role in retailers' and brands' ecommerce strategies. From personalization to product feed, effective data management and utilization support a leak-proof customer journey, driving more consumers towards the bottom of the funnel and subsequently boosting sales and revenues.

Misaligned teams. Sales and marketing often operate with different goals. Lead generation metrics don't translate easily into ABM performance. Old habits die hard. Existing processes, tech stacks, and KPIs are built around leads, not buying committees. Personalization takes work. ABM requires deeper insights, custom content, and coordinated outreach. That's resource-intensive. Data gaps. Poor data quality, disconnected systems, and lack of visibility into key accounts make targeting a guessing game. ROI anxiety. ABM doesn't always deliver quick wins.

your favorite dishes, obscure movie quotes, even that exact shade of sweater you casually admired months ago. Dinner plans are effortless: "Booked us Giorgio's again, your favorite - truffle ravioli and Cabernet, like last time," Mary smiled warmly. But gradually, things become less appealing. Your attempts at variety or exploring something new are gently brushed aside: "Heard about that new sushi place, should we try it?" you suggest.

Reactive personalization is being replaced by predictive intent engines. Instead of waiting for a customer to browse, AI anticipates the customer's next wants based on contextual data like weather, life events, and even local cultural moments. For example, as outdoor searches tick upward in specific regions, retailers surface camping gear. The upside is deeper relevance. As with every trend, there are risks. Here, if the timing is too perfect, the relevance can feel intrusive to the customer.

"People expect a lot of innovative things to come out of Netflix, given what we've done over the past 25 years in the business," Amy Reinhard, Netflix's ads president, said on Wednesday. "The thing that I'm most excited about is these interactive and modular formats, because these are the start of our personalization journey, and they add a ton of flexibility and optionality into what we're trying to do."

It's no wonder personalization programs so often fall short of expectations - they're focused on stats, not mindset. Consider this: even within the same demographic group, nearly 90% of people disagree with one another. Demographics tell us who a customer is, but behavior reveals why they act the way they do - and that's what drives trust and loyalty. Here's a slightly controversial take: I don't believe in personas. They work for storytelling and empathy building, but for personalization, they're too limiting.

Loyalty grows when your customers feel like you care. Between 2012 and 2014, La Quinta did something most hotel chains would never risk: it let its VP of Loyalty write personal postcards to guests - not to everyone, just to high-value customers or those who seemed ready to drift away. The postcards looked handwritten. Mike Case signed them and included his real email address.

A tattoo is an indelible mark, a permanent etching of a memory or a belief onto the body. We apply this concept to stuffed animals, which are often deeply intertwined with our personal histories. Through interviews with the owners, we uncover the unique stories and memories associated with each toy-where it came from, what it has witnessed. A tattoo artist then translates these narratives into a custom embroidery design.

There's little room for guesswork in digital commerce. Nowhere is that more apparent than during Black Friday and Cyber Monday (BFCM), the annual battleground where consumer intent meets brand execution at full throttle. This year, the ability to capitalize hinges on how well companies use identity, AI and behavior to trigger the right engagement at exactly the right time. I'm talking about redefining what performance means in a landscape where attention is scarce, prices are politicized and shoppers are driven by data over impulse.

From crafting replies that sound just like you to handling high volumes of DMs, comments, and mentions, the Jotform Instagram Agent promises to save time while strengthening your connection with your audience. Curious how it adapts to your unique communication style or integrates with platforms beyond Instagram? Let's uncover how this AI redefines what it means to stay engaged in the digital age. Sometimes, the best way to be present is to let technology amplify your voice.

Unless you've been actively avoiding it, you're probably using ChatGPT in your daily life. It can be helpful in countless scenarios, whether that's drafting emails, learning new skills, or helping you plan an important project. But if you feel like it tends to give generic or half-baked answers, we've put together some tips that'll help you master the app for maximum value. The secret doesn't lie in some hidden hacks or memorizing prompts, but rather in collaborating with it.

Customer expectations are higher than ever. Customers demand immediate responses, 24/7 availability, and personalized interactions. As a result, businesses are turning to AI chat tools to meet these demands efficiently. AI-powered chatbots and virtual assistants are revolutionizing customer support by automating responses, handling repetitive tasks, and providing consistent, high-quality service. Handling Frequently Asked Questions (FAQs) One of the most common uses of AI chat in customer support is answering frequently asked questions (FAQs).

Working with F37's Ryan Williamson on the production of the font, the typeface spans three eras of Harriet's writing life: ages four, 13 and 30 years old. The glyphs are an amalgamation of her diary scribblings, which, when included in the typeface, become a an archival project of not only Harriet's stylistic habits but also of the time of writing - there's no hashtags or @'s to be found in thes early texts.

A piece of art was the design starting point for the bathroom. Marlene is a designer, and she and her boyfriend lived in their place for a few months before deciding how to make the apartment feel personal to them. "I found an old New Yorker illustration a friend gifted me years ago and hadn't had the chance to use, so I took it as the main inspo for the look and feel of the space," she says.

AI adoption is no longer optional in corporate learning; it is an investor and buyer expectation. For investors, Artificial Intelligence is a signal of scalability and long-term growth in a very fluctuating environment. On the other hand, for buyers, AI adoption is a sign of a modern, future-proof platform. Specifically, in the L&D industry, learners witness the potential of Machine Learning via personalization, adaptive AI workflows, and measurable results.