582: Hyper-Targeting Customers For Your Online Store Just Got Shockingly Easy

Podcast: Download (Duration: 42:56 — 49.4MB)

Hyper-targeting customers for your online store got dramatically easier with the launch of the Klaviyo Data Platform, which turns Klaviyo from an email tool into a full ecommerce CRM. The new platform stores unlimited customer data, uses AI to auto-build segments, predicts which product each customer is most likely to buy next, and folds customer service, SMS, push notifications, and in-app messaging into one unified customer view. My co-host Toni Herrbach and I attended Klaviyo’s launch event and walked away convinced this is what “Salesforce for ecommerce” actually looks like.

If you run a Shopify (or any) store and you have been paying separate SaaS tools for email, SMS, customer service, on-site chat, and reporting, most of that stack is about to collapse into Klaviyo.

Below we break down every major feature Klaviyo announced, the specific use cases where the AI actually pays off, why the new customer-support hub matters more than most owners realize, and where the platform still has gaps.

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Key takeaways

• Klaviyo launched the Klaviyo Data Platform, an ecommerce-focused CRM with unlimited customer-data storage and a native Shopify integration.
• AI Forecast automatically builds customer segments by predicting who is most likely to buy a specific product, without you having to write the segment rules by hand.
• The new campaign builder works like a flow. You can send a Mother’s Day promo, then auto-resend only to unopens who visited the site in the last 30 days and have spent $500+, all in one drag-and-drop campaign.
• The Action Center recommends the exact next campaign to send based on your data plus benchmarks from every other store in your vertical.
• Klaviyo now includes a self-service and support hub with AI chatbot, order tracking, and returns management. Customer service can now live inside the same tool as your marketing.
• A unified customer timeline shows every email open, SMS click, purchase, page view, return, and shipment status by real customer name, which Google Analytics 4 cannot do.
• The new open API lets non-Shopify stores integrate Klaviyo with any platform, and opens the door for a future third-party app ecosystem.

What is the new Klaviyo Data Platform?

The Klaviyo Data Platform is a full ecommerce CRM built on top of Klaviyo’s existing email and SMS infrastructure. It offers unlimited storage for every customer’s browsing history, purchases, purchase frequency, email opens, SMS clicks, and returns, all in one profile that pulls directly from Shopify and every other tool Klaviyo already integrates with.

The problem this solves is the one every ecommerce owner knows painfully well. Your customer data is scattered across Shopify, your email tool, your SMS tool, your help desk, your reviews app, and a Google Analytics dashboard that no one enjoys opening. Owners routinely pay contractors thousands of dollars to build custom dashboards that stitch it all together, and those dashboards usually break within six months.

Klaviyo told a customer story at the launch about exactly that scenario. The owner hired a developer, spent real money on a custom aggregation tool, and it did not work well enough to use. The Klaviyo Data Platform is Klaviyo’s answer to that problem for the whole market.

How Klaviyo AI Forecast auto-builds customer segments

Klaviyo AI Forecast automatically builds a customer segment when you describe the outcome you want, instead of forcing you to write the segment rules by hand. You can type something like “create a segment of everyone most likely to purchase a personalized apron in the next month” and Klaviyo assembles the list from every relevant behavioral signal it has stored.

The old workflow was rule-based. You had to know exactly which conditions to apply: bought an apron before, has not bought in six months, opened the last three campaigns.

AI Forecast collapses that into an outcome-based prompt. It also incorporates signals you never would have thought to check, like someone who browsed the apron category two weeks ago but never bought.

Toni already uses Klaviyo’s earlier AI segmentation tool heavily and says the accuracy is very high. The rare misses are almost always because the prompt was written poorly, not because the AI got the data wrong.

The other unlock is downstream. AI does not stop at building the segment; it also sequences the follow-up.

If a segment gets the first email, the AI can decide who inside that segment gets the second email based on whether they took specific actions, and adjust the email copy to reference those actions.

Why the new Klaviyo campaign builder replaces multi-email sales

The new campaign builder works like a Klaviyo flow, so a single “campaign” can now include the send, the resend-to-unopens, the SMS fallback, and the exclusion logic in one drag-and-drop canvas.

Before this, campaigns and flows were two different products. Flows had conditional logic. Campaigns were one-shot broadcasts.

The practical use case is any multi-touch promotion. If you run a three or four day sale, you probably send 4 to 6 separate emails: first day AM, first day PM, midway, last chance AM, last chance PM. Each one needs to exclude buyers, resend to unopens, and coordinate with an SMS blast.

You can now build that whole sequence as one campaign. Resends can be surgical: send only to people who did not open the first email but visited the site in the last 30 days and have spent $500 or more. That level of targeting used to require assembling three or four separate segments manually.

Klaviyo also finally added recent-unopens as a native resend option, which we and other Klaviyo power users have been asking for for years. Small feature, huge time-saver.

How the Klaviyo Action Center tells you what to send next

The Klaviyo Action Center reads your store’s data and gives you a specific campaign recommendation, then builds most of the campaign for you if you click accept. It compares your store’s behavior against Klaviyo’s full dataset of stores in your vertical, so the recommendation reflects what actually works for similar businesses, not just your own history.

An example recommendation might be “send a campaign to people who buy pink leggings, they are 3.4x more likely to buy the new pink dress.” Click it and Klaviyo pre-builds the segment, pre-populates the email template with your brand assets, and sits it in your drafts folder ready to review.

For anyone who has spent hours guessing which segment to target next or building the same campaign template from scratch every week, this is the highest-leverage feature Klaviyo has ever shipped. Testing still matters, but you are testing sharper starting points instead of guessing from a blank page.

Klaviyo’s self-service and support hub turns customer service into a sales channel

Klaviyo’s new self-service and support hub adds an AI chatbot, order tracking, returns management, and live chat handoff to a real agent, all natively inside the same platform that holds your customer profiles. This matters because Klaviyo already knows everything about your customer: addresses, past orders, browsed pages, email engagement, SMS behavior.

Roughly the top question every ecommerce store gets is “where is my order?” That can be answered by AI 95 percent of the time. Once AI handles the routine tickets, your human customer-service reps can focus on the higher-value conversations that actually convert.

At my store, if we can get a customer into a live conversation with our support rep, our close rate on that conversation is around 90 percent. That is the shift most owners miss: customer service is a sales channel, not a rescue boat. Every question about personalization, sizing, delivery timing, or product compatibility is a buying signal.

Having all of that in one platform also means the human agent, when they get the escalation, already sees the customer’s purchase history, browsing history, engagement level, and predicted next purchase. They can suggest the matching apron to the customer who just bought the personalized pillowcase, in the same chat window, without switching tools.

The unified customer view: better than Google Analytics for ecommerce

Klaviyo’s unified customer view shows every interaction a specific named customer has had with your store on one timeline: emails opened, SMS clicked, pages viewed, products purchased, returns filed, shipments in transit. Google Analytics 4 cannot do this because Google prohibits attaching personally identifiable information to analytics profiles.

That single privacy restriction is why so few store owners actually use GA4 for customer-level decisions. It shows you aggregate cohorts, not “what has Sarah done in the last 90 days.” Klaviyo, because it owns the customer profile natively, can show you Sarah’s entire history by name.

For any store with high-consideration or high-lifetime-value customers (custom, personalized, subscription, luxury, B2B), that shift is huge. You stop making decisions off aggregate reports and start making them off individual customer timelines that your CS reps can also see.

Why the Klaviyo open API is a big deal for non-Shopify stores

Klaviyo’s new open API lets you connect Klaviyo to any ecommerce platform via code, so stores on WooCommerce, BigCommerce, custom-built stacks, or (unfortunately) GoDaddy can now get the same integrated experience Shopify stores get natively. Previously, deep Klaviyo integration was effectively a Shopify-first feature.

The API also opens the door for a Klaviyo app ecosystem. Third-party developers can build tools that plug into Klaviyo data, similar to the Shopify app store. That community layer often ends up being more valuable than the core product itself over time.

If you are on a non-Shopify platform, this is the single feature that unlocks the whole rest of the platform for you. The rest of the announcements do not matter if your data cannot get into Klaviyo cleanly.

How Klaviyo AI helps subscription-based stores retain customers

Klaviyo’s new AI features analyze subscription customer behavior to identify when subscribers are about to churn and what messaging keeps them longer. The launch event referenced a 54 percent boost in retention for stores implementing the recommended AI-driven communication strategies.

For subscribe-and-save models, the killer question is always “at what point do customers start to fall off?” Different products, different price points, and different customer types churn at different points on the timeline. Historically you had to build that analysis yourself by hand or hire a data analyst.

Klaviyo’s AI now surfaces those churn patterns automatically and recommends the winback message, discount, or product-swap most likely to save the subscription. If a meaningful portion of your revenue is subscription, this alone is probably worth the platform.

Comparison: Klaviyo Data Platform vs the tools it replaces

Common personalization mistakes Klaviyo AI can prevent

Even with good tools, most stores make the same personalization mistakes because a human forgot to add an exclusion or a suppression rule. The most common ones are all fixable now with AI-driven automation.

The classic bad experience: you buy a pair of shoes and get an email about women’s clothing the next day, even though your account clearly shows you bought men’s shoes. Or you buy a product on Monday and the same product goes on sale in an email on Tuesday for 25 percent off. Or, in Toni’s actual example, you buy a bunch of paint at Lowe’s and the follow-up email pushes more paint, not painter’s tape and brushes.

Every one of those is a segment rule that a human should have set but did not. Klaviyo’s AI segmentation and suppression logic can add those exclusions automatically: exclude anyone who purchased that exact product in the last 48 hours, exclude anyone who just paid full price from the discount send, upsell complementary categories on any post-purchase flow.

The upside is not just fewer angry customers. It is that the inbox becomes genuinely useful to the customer.

Emails that reference the color you actually wear, the size you actually buy, and the products you have actually looked at get opened. Everything else gets deleted or marked as spam.

Frequently asked questions

What is the Klaviyo Data Platform?

The Klaviyo Data Platform is Klaviyo’s new ecommerce-focused CRM. It stores unlimited data on every customer (purchases, browsing, engagement across email and SMS), integrates natively with Shopify and other platforms via a new open API, and uses AI to auto-build segments, recommend campaigns, and predict what each customer will buy next.

How does Klaviyo AI Forecast work?

Klaviyo AI Forecast lets you describe the customer segment you want in plain language (“everyone most likely to buy a personalized apron in the next month”) and builds the segment automatically from your store’s behavioral data. It incorporates signals like browse history and past purchases that you would have to combine manually with the old rule-based segment builder.

Does Klaviyo now include customer service?

Yes. Klaviyo’s new self-service and support hub includes an AI chatbot, order tracking, returns management, and live chat handoff to a human agent. Because it lives inside Klaviyo, the human agent sees the customer’s full purchase and engagement history in the same window when they take over from the AI.

Can I use Klaviyo Data Platform if I am not on Shopify?

Yes. Klaviyo now offers an open API that lets you connect any ecommerce platform (WooCommerce, BigCommerce, custom stacks, and others) to Klaviyo with code. Previously deep integration was effectively Shopify-only, so non-Shopify stores can now get the same unified customer view.

How is Klaviyo different from Google Analytics 4 for ecommerce?

Klaviyo shows a full customer timeline by real name, including every email open, SMS click, page view, purchase, return, and shipment. Google Analytics 4 cannot show you named-customer timelines because of privacy restrictions. For any store making decisions at the individual customer level (custom, personalized, subscription, or high-LTV), Klaviyo’s unified customer view is far more useful.

Is the new campaign builder different from Klaviyo flows?

The new campaign builder brings flow-style conditional logic into one-shot campaigns. You can build a multi-touch promotion (initial send, resend to unopens with specific behavior, SMS fallback, exclusion rules) as one campaign instead of stitching a flow and several campaigns together. Flows still exist for automated ongoing journeys like abandoned cart and welcome sequences.

Will Klaviyo AI features increase my email revenue?

Anecdotal case data from Klaviyo’s launch cited significant lifts, including a 54 percent boost in retention for subscription businesses implementing the recommended AI-driven strategies. The mechanism is straightforward: better segmentation, sharper personalization, and fewer irrelevant sends. Actual lift depends on how sloppy your current segmentation is and how aggressively you adopt the AI recommendations.

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