Persona LM identifies which buyer segments are slipping — based on purchase cadence, not arbitrary rules. See who's overdue, what they used to buy, and prepare a win-back audience for Klaviyo.
Most DTC brands define churn as 'hasn't ordered in 90 days.' But a buyer who orders every 30 days and misses day 45 is already gone — you just don't know it yet. Arbitrary time windows miss the signal because every segment has its own natural cadence.
Persona LM learns each segment's natural reorder rhythm from your transaction data. No arbitrary '30/60/90 day' rules — real cadence from real behavior.
See which segments are overdue, how much revenue is at risk, and what products they typically reorder. Ranked by impact, not alphabetical order.
Export the segment or queue an operator-approved Klaviyo/Meta handoff, with refreshed evidence from each sync.
43 members are 15+ days overdue. That's $4,085 in at-risk monthly revenue. Win-back should trigger at day 35, not day 90.
Reorder rate dropped 22% this month vs the 3-month average. Something changed — new competitor? Price sensitivity shift?
Not overdue — they're seasonal. Don't waste a win-back campaign on a buyer who's in their natural quiet period.
68% of this segment never returns. Don't invest in win-back — invest in converting them to a second purchase within 14 days.
Every buyer segment has a natural purchase cadence. 'Monthly Restockers' who haven't ordered in 45 days aren't browsing competitors — they're already gone. We flag segments that have drifted past their expected reorder window, ranked by revenue at risk.
Yes. Prepare any at-risk segment for Klaviyo with a current audience export and campaign brief, so your win-back flow targets the right buyers without stale manual list pulls.
Klaviyo flags individual profiles based on email engagement. Persona LM flags buyer segments based on purchase behavior. You see that your 'Premium Repeat Buyer' segment is 22% below expected reorder rate this month — that's a revenue problem, not an email open-rate problem.
You need at least 500 orders with some repeat purchase history for churn detection to be meaningful. Stores with strong repeat dynamics (supplements, beauty, food) see the clearest signals.
Persona 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.
Read →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.
Read →Persona LM surfaces named buyer segments like 'Stack Builder' and 'Single-Product Loyalist' from your Shopify data — and predicts which products each segment adds next.
Read →Persona LM identifies named buyer segments like 'Routine Replenisher' and 'Shade Matcher' from your Shopify data — then predicts when each segment reorders and what they try next.
Read →Free. Seven-minute connect. About 24 hours to your six named buyer archetypes plus 18 ranked campaigns.