Detect churn before it happens and win buyers back.
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 push a win-back audience to Klaviyo in one click.
The problem
By the time you notice a customer churned, they bought from your competitor last month.
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.
How Persona LM solves this
Three steps. No guesswork.
Identify 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.
Flag segments drifting past window
See which segments are overdue, how much revenue is at risk, and what products they typically reorder. Ranked by impact, not alphabetical order.
Push win-back audiences instantly
One click to Klaviyo or Meta. The audience updates automatically with every new order, so your win-back flow always targets the right buyers.
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.
Monthly Restocker
30-day cadence, $95 avg order43 members are 15+ days overdue. That's $4,085 in at-risk monthly revenue. Win-back should trigger at day 35, not day 90.
Premium Repeat Buyer
45-day cadence, $180 avg orderReorder rate dropped 22% this month vs the 3-month average. Something changed — new competitor? Price sensitivity shift?
Seasonal Splurger
120-day cadence, $240 avg basketNot overdue — they're seasonal. Don't waste a win-back campaign on a buyer who's in their natural quiet period.
One-and-Done Risk
0% repeat rate, $55 avg basket68% of this segment never returns. Don't invest in win-back — invest in converting them to a second purchase within 14 days.
Before vs after
Same team. Same data. Different decisions.
Without Persona LM
Win-back email at day 90. 2% open rate. They already bought from a competitor at day 50.
With Persona LM
Persona LM flags overdue buyers at day 35. You reach them before they've moved on. 18% conversion on win-back.
Without Persona LM
Your Klaviyo 'at-risk' segment has 8,000 people. You send the same 15% off email to all of them.
With Persona LM
3 segments with different cadences, different products, different price sensitivity. 3 campaigns, each tailored. 4x the response rate.
Without Persona LM
Monthly report shows repeat rate dropped. You investigate. Takes a week to figure out which segment.
With Persona LM
Psyche alerts you Monday: 'Premium Repeat Buyer reorder rate is 22% below expected.' You act the same day.
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 detect churn?
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.
Can I automate win-back campaigns from churn signals?
Yes. Push any at-risk segment to Klaviyo in one click. The audience auto-updates — so your win-back flow always targets the right people without manual list pulls.
How is this different from Klaviyo's churn prediction?
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.
What if my store doesn't have enough repeat buyers?
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.
More use cases
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.
Find Buyer Segments in Your Shopify DataPersona 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.
Buyer Intelligence for Supplement BrandsPersona LM surfaces named buyer segments like 'Stack Builder' and 'Single-Product Loyalist' from your Shopify data — and predicts which products each segment adds next.
Buyer Intelligence for Beauty & Skincare BrandsPersona 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.
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.