LTV by cohort. Repeat purchase rates by channel. Coupon dependency by customer type. Customer 360 by email. StoreTracker turns your order history into a complete picture of who your best customers are — and how to get more of them.
A channel with a $244 CAC and 44% repeat rate is often more valuable than a channel with a $88 CAC and 18% repeat rate. LTV changes everything — but only if you can measure it by channel, not just in aggregate.
Meta's $244 CAC looks terrible vs Google's $88. But if Meta buyers have a 12-month LTV of $480 and Google buyers have $180, Meta is actually the better channel. You can't know without cohort-level LTV data per source.
Email-acquired customers return at 44%. Meta-acquired customers return at 18%. That's not a marketing problem — it's a customer profile problem. The channels bring fundamentally different buyers, and your strategy should reflect that.
31% of repeat orders from certain segments use a discount code. That looks like loyalty — but it's price sensitivity. Without knowing which customers only return with a coupon, you're subsidising purchases that would have happened anyway.
You know aggregate repeat rates. But when a customer emails about their order, you can't instantly see their full purchase history, acquisition source, LTV, coupon usage, and segment. Customer 360 makes that one query away.
CAC payback period is the number of months before a channel's acquisition cost is recovered through repeat revenue. The channel with the fastest payback is the one to scale — regardless of which has the lowest CAC.
The repeat rate gap between channels is almost always surprising. Email-acquired buyers return at 44%. Meta-acquired buyers at 18%. That's not a creative problem — it's a customer-type problem. StoreTracker shows the full funnel from first order to repeat purchase, by channel.
Search any customer by email and get their complete picture — acquisition source, every order, lifetime revenue, AOV, coupon usage, repeat behaviour, and segment. In one response, from CoPilot.
Not all discount usage is equal. A coupon used by a new customer acquiring for the first time is different from the same coupon used by a 6-time buyer who would have purchased anyway. StoreTracker separates them — by customer type, channel, and margin impact.
/repeat-funnel last 90 daysRepeat purchase rate and return timing by channel/reorders last 90 daysMost reordered products with replenishment cadenceltv cohort last quarter12-month lifetime value by acquisition cohort and channel/customer-types last 30 daysNew vs returning split — behaviour and revenue differences/source-customer-funnel last 30 daysFull channel-to-customer journey from first touch to repeat/coupons last 30 daysCoupon usage by code — new vs existing customer splitcoupon impact on margin this monthTotal revenue lost to discounts with channel breakdownexisting customers revenue last 90 daysRevenue contribution from repeat buyers vs newnew customers this monthNew buyer count, sources, and first-order products/ad-waste last 14 daysChannels acquiring low-LTV customers at high CACConnect your Shopify store and see your full repeat purchase picture — by channel, by product, by customer — from day one.