Use Case

Know what to stock based on who's buying.

Persona LM scores your entire catalog against your buyer segments so you see which products to double down on, which to cut, and what gaps exist in your assortment — before you place the next PO.

88%purchase prediction accuracy on holdout eval
1.7×more accurate than ChatGPT on your data
24hfrom Shopify connect to named segments
0 CSVexports — audiences sync live

The problem

Your best-seller report doesn't tell you who's buying — or who isn't.

You see that Product A sold 400 units last quarter. Great. But 350 of those were to discount hunters at 30% off. Meanwhile, Product B sold 80 units — but all to your highest-LTV segment at full price. The best-seller report lies to you because it doesn't segment demand.

You reorder based on total units sold — the highest volume SKU might have the worst margins
New product decisions are based on trends and competitors, not your actual buyer demand
You carry 200 SKUs but only 40 actually matter to your best segments
Your assortment has gaps you can't see — segments with high intent but no matching products
You cut products that 'underperformed' without knowing they were your best segment's favorites

How Persona LM solves this

Three steps. No guesswork.

01

Score catalog against segments

Every product in your store gets a predicted conversion score for every buyer segment. See which SKUs serve your best customers and which only attract one-time discount buyers.

02

Find assortment gaps

Identify segments with high purchase intent but no products that match their preferences. Those gaps are your highest-ROI new product opportunities.

03

Make PO decisions with data

Score new SKUs before ordering. See predicted demand by segment, price sensitivity, and competitive overlap with existing products. Replace gut-feel buying with buyer-level demand signals.

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

Shops 40 of 200 SKUs

This segment generates 42% of revenue but only engages with 20% of your catalog. The other 80% doesn't serve your best customers.

Category Explorer

Shops across 5+ categories

They buy something from every category but have no deep loyalty. They're your assortment breadth validators.

Discount Hunter

Only converts on sale items

Your best-selling SKU is #1 because this segment buys 350 units on sale. It's not a best seller — it's a loss leader.

New Launch Adopter

3.2x conversion on new SKUs

This segment converts 3x better on new products than existing. They're your launch segment — test new SKUs with them first.

Before vs after

Same team. Same data. Different decisions.

Without Persona LM

You order 500 units of last quarter's best seller.

With Persona LM

You see that 70% of those sales were to discount hunters. You order 200 instead and invest the savings in products your premium segment wants.

Without Persona LM

New product decision: 'Our competitor has this, we should too.'

With Persona LM

You score the proposed product against your buyer segments. Two segments show 60%+ intent. You order with data.

Without Persona LM

You carry 200 SKUs and wonder why margins are thin.

With Persona LM

You see that 40 SKUs serve your top 3 segments. The other 160 are mostly discount-segment products. You trim the catalog and margins jump.

20-30%SKU rationalization opportunityproducts that don't serve your best segments
2-3xbetter new product launch accuracyby scoring against real buyer segments before ordering
15-25%margin improvementby shifting assortment toward high-LTV segment preferences
Built-in AI agent

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.

Weekly intelligence brief — Discord, email, or dashboard
Velocity alerts — what's accelerating or stalling
Stockout risk flags before you lose momentum
Ready-to-push audiences attached to every alert
U

Who are my highest-value customers?

+ searchPersonas · computeStats

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.

U

What should I push to them next?

+ forecastDemand · scoreCouncilPoll

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.

U

Push that segment to Klaviyo

+ exportSegment · klaviyo_segment_upsert

Done. 1,412 profiles synced to Klaviyo. Audience auto-updates with every new order. Ready for your campaign.

Best fit

Brands with 50+ SKUs and tight inventory budgets
Teams making buying decisions quarterly and wanting data behind them
Stores where the buyer/merchandiser doesn't have segment-level demand data

Common questions

How does Persona LM help with assortment decisions?

We score every product in your catalog against every buyer segment. You see which SKUs serve your highest-value segments, which SKUs only attract discount hunters, and where you have assortment gaps — segments with high intent but no products that match.

Can I test a new product before I order it?

Yes. Add the product metadata and score it against your buyer segments. You'll see predicted conversion by segment, price sensitivity, and how it competes with existing SKUs — before you commit a single dollar to inventory.

How is this different from looking at best sellers?

Best sellers show volume. Persona LM shows who's buying — and who isn't. A product might be your #3 best seller but only convert with your lowest-LTV segment. Another product might rank #20 overall but be the #1 SKU for your highest-value buyers. Assortment decisions need both lenses.

What data do I need?

Just your Shopify order history. We handle the rest — segment discovery, product scoring, gap analysis. No manual category tagging or attribute labeling required.

Works with the tools you already use

ShopifyKlaviyoMeta AdsGoogle AdsGA4TikTokBigCommerceCSV / API

Your data already has the answers.

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