Tracey Wallace’s Post

Send more messages without sacrificing quality -- that's how Klaviyo helps you build smarter digital relationships. To do it, you need personalization and segmentation built into the foundation of your owned marketing strategy. This is where Klaviyo shines. It's not an email only platform, or SMS only, etc. Klaviyo has expanded into a platform, sure, but it's the Klaviyo database and 360-degree view of your customers that makes this platform so powerful. Send messages based on someone's on-site behavior, automate those messages to send to a customer's preferred channel (email or SMS), etc. Build RFM segments, or segments based on quiz answers, or geo segments, or segments based on if folks shop more often in store or online, etc. The options are endless, and it's how so many brands using Klaviyo send more messages to drive revenue, while building longer lifetime value with their customers. Because the messages aren't random. They aren't blasts. They are personal, customized, relevant. And they are all of it without slowing down a marketing team. Here's how 3 brands (Aura Bora, Linksoul, and PROOZY) send more personalized messages, use AI for an added efficiency boost, grow revenue, and build brand equity.

Similar to email, effective SMS marketing relies on a fine-tuned audience targeting strategy to see results. But when Klaviyo surveyed ecommerce executives for their input on personalized marketing at scale, they identified a glaring obstacle: data siloing. Here's how 3 brands identified the issue, and resolved it––fast.

One of my absolute favorite content types to publish is research, because you get so many interesting nuggets out of it. And this new AI usage research from Klaviyo is no different. We surveyed 1.5K ecommerce marketers about if and how they are using AI at work, and well: Almost everyone *is* using AI at work, but not everyone is disclosing that they are using it. And if they are, most aren't disclosing it every time. This raises a lot of questions... mostly, does that matter? Do we care that folks tell us when they've used AI or not? Does the type of AI you use impact how/if you disclose that you used it (and if others expect you to disclose it)? For instance, it might matter that you used GenAI to write an article or an email (esp. if you haven't edited it...), but might not matter much at all if you used it to define a segment in Klaviyo, or build a flow. The impact matters...and >80% of marketers in the survey said AI makes them both more efficient and more productive. What do y'all think?