Your best customers don’t look special on Day 1.

That optimizes on first-order revenue at checkout. For DTC, real profit often shows up in repeat purchases, bundles, and margin weeks later. Churney predicts per-customer pLTV from your first-party data and sends that as the bid signal, so you’re not just scaling high-AOV one-and-done buyers.

Cohort reports explain who was valuable. They don’t teach your ad platforms who to acquire next. Churney activates pLTV as a live optimization signal so bidding learns from predicted 2nd+ order and long-window value, not only the first conversion.

Ad platforms learn on first purchase; your best customers often reorder within 30–90 days (consumables, beauty, pet, supplements, etc.). If early spend (days 1–7) doesn’t rank the same as late value (day 90+), tROAS on first order misallocates budget toward one-time buyers. Churney targets customers who will buy again, not just convert once.

Structured pilot: Churney signal vs. your business-as-usual setup (e.g. purchase or first-order value optimization), with holdouts and cohort readout when repeat orders mature, not just a higher tROAS target in the ad account.

Churney fits brands where repeat purchases matter and paid acquisition is held back because ad platforms only see first-order value. Quick test: If your best customers only show their true value weeks after the first purchase, you’re in the zone. If first-order ROAS already tells the full story, standard value bidding may be enough for you. You can test your growth predictability here: https://gpt.churney.io/

Onboarding aside, usually 60–120 days from campaign launch, because ecommerce value often appears on 2nd+ orders, not at first purchase. You’re comparing Churney vs. your current setup over a window long enough for repeat orders to mature, not judging it on week-one ROAS. We say again - Risk Free: Unlock double-digit ROAS growth, or you keep your money.

We prove it with a structured test against what you run today. Lift = new customers acquired with Churney’s pLTV signal perform better on long-term value (repeat orders, margin, LTV) than customers acquired under your current optimization; after the test window is long enough for repeats to show up.

The aim is better customers, not fewer. You keep scaling acquisition while the bid model favors shoppers predicted to come back and spend more over 90 days. Success looks like steady or growing new-customer volume with stronger repeat rates, higher cohort LTV, and ROAS that holds up once 2nd orders land. Not a tradeoff where you shrink the top of the funnel to look efficient on day one.