Shopify
Connected via Shopify / commerce platform.
What flows in
SKU, category, order value, returns, and promo code use, matched per customer.
Data grain
Treated as a identity-level source when building personas.
Why it matters
Order history is the single richest behavioral signal most retailers have. Connecting your commerce platform means purchase cadence, return rate, and promo sensitivity all become clustering inputs.
What Shopify brings to Triangul8
Shopify carries the single richest behavioral dataset most retailers own. Every order is a statement about what a customer valued enough to pay for, and the patterns across those orders - frequency, value, category mix, discount sensitivity, time between purchases - separate shoppers far more meaningfully than any demographic ever will.
This is the data Triangul8's clustering was designed for. A customer who buys twice a year at full price on the same product line is a fundamentally different person from one who converts only on a threshold discount, and your order history already proves it. Shopify feeds that in, and then receives persona-targeted product and collection content back out.
What flows in
Order history
Purchase frequency, average order value, and time-between-orders - the strongest behavioral separators in retail
Product & category affinity
What each segment actually buys, which determines what content they should see
Discount sensitivity
Whether a customer converts at full price or waits for a promotion, which changes the entire message
Returns data
One of the most honest signals a retailer owns, and one of the least used in content
How the connection works
Orders and customer records flow in continuously and feed clustering. In the other direction, approved product descriptions, collection pages, and category content publish back into Shopify as drafts for review.
No connector yet? Any source can feed persona development through flat-file upload or direct API - a prebuilt integration is a convenience, never a requirement.