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.
Your LTV is $85. You'd like it to be $120. But the dashboard just shows a number — it doesn't tell you which buyers are driving it up, which are stuck at one purchase, or which products trigger the second order. LTV isn't a metric to watch. It's a system to engineer.
See each segment's current LTV, repeat rate, and spend trajectory. Identify which segments are your growth engine and which are stuck at one purchase.
For each high-value segment, see which products trigger the second and third purchase. Build flows around products that convert, not products you want to push.
Prepare high-LTV segment exports for Klaviyo with product recommendations already attached, so cross-sell flows use current buyer evidence.
The engine. Second purchase is always accessories. Cross-sell at day 3 post-purchase — 68% of their cross-sells happen there.
Started with a $50 order, now averaging $95. They're trading up. Show them premium products, not discounts.
68% never return. The intervention window is 14 days post-purchase. After that, they're gone.
Trained to wait for sales. Every coupon reinforces the behavior. Stop discounting to this segment — show value instead.
We show you which segments have the highest repeat rate and spend trajectory, which products trigger second purchases, and which segments are stuck at one order. You stop guessing which campaign drives LTV and start engineering it.
Yes. For each segment, you see which products correlate with second and third purchases. If your 'Premium Repeat Buyer' segment's second purchase is always accessories — that's your cross-sell playbook.
Shopify cohorts show average LTV by month of acquisition. Persona LM shows LTV by buyer segment — so you see that your 'Discovery Shopper' segment has 2.3x the LTV of your 'Discount Hunter', regardless of when they joined. Different insight, different action.
It depends on your current targeting sophistication. Brands going from 'blast everyone the same offer' to 'segment-specific campaigns' typically see 15-30% improvement in repeat purchase rate within the first 90 days. The math: better targeting means the right product reaches the right buyer at the right time.
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.
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 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 →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 →Free. Seven-minute connect. About 24 hours to your six named buyer archetypes plus 18 ranked campaigns.