Use case

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.

  • Your 'best customers' list is sorted by total spend — a buyer who spent $500 once ranks above one who spent $100/month for a year
  • You build Klaviyo segments by hand: 'purchased in last 30 days' or 'opened 3 emails.' These are filters, not segments.
  • Your team debates who the target customer is — but nobody has data to settle it
  • You run one campaign for everyone and get a 0.8% conversion rate
  • Customer 'personas' are fictional marketing exercises, not data-driven behavioral clusters
How to run it

The recipe

  1. 01

    Connect your store

    One Shopify OAuth click. We read your full order history — every buyer, every product, every timestamp. Nothing touches your storefront.

  2. 02

    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.

  3. 03

    Target and measure

    Prepare any segment for Klaviyo or Meta. See which segments respond to which products. Stop blasting the same offer to everyone and start running campaigns against distinct audiences.

Who each step targets

The buyer archetypes behind the playbook

  • Premium Repeat Buyer

    1,412 members, 8.4% CVR

    17% 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% CVR

    Shops 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% CVR

    Seasonal 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% CVR

    Only 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.'
  • Your team argues about the target customer based on who they imagine buying.
  • You build a Klaviyo segment: 'purchased in last 30 days AND opened email.' 1,200 people. Feels smart.
With Persona LM
  • 6 campaigns to 6 segments, each with the right product and price point. 3.2% average conversion.
  • Data settles it: you have 7 distinct buyer segments. Your team builds strategy around real behavioral clusters.
  • Persona LM shows that segment contains 4 behavioral groups who need completely different campaigns. The filter caught fish, but mixed all the species.
Best fit

Built for stores that

  • Any DTC brand with 500+ orders wanting to understand their buyers
  • Marketing teams building campaigns by hand and feeling like they're guessing
  • Brands growing past the 'everyone gets the same email' stage
FAQ

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. Export any segment or queue an operator-approved handoff for Klaviyo or Meta Ads. Each handoff is tied to refreshed segment evidence.

Run the audit

See it on your own store.

Free. Seven-minute connect. About 24 hours to your six named buyer archetypes plus 18 ranked campaigns.