Find buyer segments hiding in your Shopify data.
Persona LM discovers named buyer segments from your transaction history — not 'Cluster 3', but 'Weekend Impulse Buyer' with a 6.8% CVR and $140 avg basket. Each segment comes with behavioral traits, spend patterns, and next-purchase predictions.
The problem
You're sending the same email to 5,000 people who have nothing in common except they bought something once.
Shopify calls them all 'customers.' Klaviyo segments them by email engagement. But your buyer base has distinct behavioral groups — you just can't see them. Some buy premium at full price every month. Others only buy on sale. Same store, same product, completely different people.
How Persona LM solves this
Three steps. No guesswork.
Connect your store
One Shopify OAuth click. We read your full order history — every buyer, every product, every timestamp. Nothing touches your storefront.
Model discovers segments
Within 24 hours, the model surfaces named buyer segments with CVR, spend patterns, price sensitivity, repeat cadence, and category preferences. Real names, not cluster numbers.
Target and measure
Push any segment to Klaviyo or Meta. See which segments respond to which products. Stop blasting the same offer to everyone and start running 6 campaigns to 6 distinct audiences.
Real segments, real data
What you'll see in your dashboard
These are the kinds of segments and insights Persona LM surfaces from Shopify transaction data.
Premium Repeat Buyer
1,412 members, 8.4% CVR17% of your base drives 42% of revenue. They buy at full price, every 30-45 days, and prefer new arrivals over sale items.
Weekend Impulse Buyer
892 members, 6.8% CVRShops Friday-Sunday, converts on first visit, $140 avg basket. Instagram-driven. Never opens email but converts from retargeting ads.
Gift Buyer
634 members, 3.1% CVRSeasonal spikes (Dec, Feb, May). Buys products outside their demographic. Different messaging needed — they're shopping for someone else.
Discount Hunter
2,180 members, 5.8% CVROnly converts with 20%+ discount. Highest volume, lowest margin. They dilute your metrics if you treat them the same as premium buyers.
Before vs after
Same team. Same data. Different decisions.
Without Persona LM
One email blast to 5,000 subscribers. 0.8% conversion. You call it a 'good send.'
With Persona LM
6 campaigns to 6 segments, each with the right product and price point. 3.2% average conversion.
Without Persona LM
Your team argues about the target customer based on who they imagine buying.
With Persona LM
Data settles it: you have 7 distinct buyer segments. Your team builds strategy around real behavioral clusters.
Without Persona LM
You build a Klaviyo segment: 'purchased in last 30 days AND opened email.' 1,200 people. Feels smart.
With Persona LM
Persona LM shows that segment contains 4 behavioral groups who need completely different campaigns. The filter caught fish, but mixed all the species.
Ask it anything. It knows your store.
Psyche is an AI analyst trained on your transactions. Ask who your best buyers are, what they'll buy next, or which segment to push to Meta — and it does it. 31 tools. Your entire purchase history loaded.
Who are my highest-value customers?
Premium Repeat Buyer — 1,412 members, 8.4% CVR (2.3× above store avg), $180 avg basket. They drive 42% of revenue from 17% of your buyer base.
What should I push to them next?
Highest-probability next purchase: Accessories (72%). They convert better at full price. Recommend email flow at day 3 post-purchase — 68% of cross-sells close there.
Push that segment to Klaviyo
Done. 1,412 profiles synced to Klaviyo. Audience auto-updates with every new order. Ready for your campaign.
Best fit
Common questions
How does Persona LM find segments in my data?
We train a private model on your Shopify order history. It clusters buyers by actual purchase behavior — what they buy, how often, at what price point, and how they respond to promotions. Each cluster gets a human-readable name, CVR, and behavioral profile.
How are these different from Klaviyo segments?
Klaviyo segments are rule-based lists you build manually (purchased X, opened Y emails). Persona LM segments are discovered — the model finds behavioral clusters you didn't know existed. You might discover that 18% of your revenue comes from a segment you've never targeted.
How many segments will I get?
Typically 5-15 meaningful segments, depending on your store's order volume and product diversity. We optimize for segments that are actionable — large enough to campaign to, distinct enough to message differently.
Can I push segments to my existing tools?
Yes. Push any segment to Klaviyo or Meta Ads in one click. Audiences auto-update with every new order — no CSV exports, no stale lists.
More use cases
Persona LM scores every buyer-product pair in your Shopify store so you see which segments will convert on which SKUs — before you place the PO. 88% accuracy on holdout eval. No spreadsheet forecasts, no gut calls.
Grow Customer LTV on PurposePersona LM shows you which buyer segments have the highest LTV trajectory, what products move them up the spend curve, and which ones are stuck in one-and-done territory. Turn LTV from a lagging metric into a lever you can pull.
Buyer Intelligence for Streetwear BrandsPersona LM surfaces named buyer segments from your Shopify purchase history — like 'Hype Drop Hunter' or 'Basics Loyalist' — and predicts what each one buys next.
Persona LM vs Klaviyo SegmentsKlaviyo segments are rule-based lists you build. Persona LM segments are behavioral clusters the model discovers in your data. One is a filter. The other is intelligence. Here's where each one fits.
Works with the tools you already use
Your data already has the answers.
Connect Shopify. Named segments, predictions, and live audiences in 24 hours. Free for 30 days.