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pLTV for customer acquisition

Even the best new first time buyers aren’t special on drop day.

On drop day, every new customer looks like a win to Meta and Google. Churney predicts who will buy again, return, or refunds, and sends that value to your ad platforms so you bid for long-term customers, not one-time converters.

Same Day 1 value, different predicted future value Two customers begin with the same 49 dollar Day 1 value. One stays flat as a first-order proxy, while the other reveals higher Day 30, Day 60, and Day 90 value. Churney turns that prediction into a platform-ready pLTV signal for Google and Meta. Day 1 Day 30 Day 60 Day 90 $49 $49 First-order proxy Predicted future value $49 stays $49 $92 $136 $184 High pLTV Churney turns delayed value into an early bidding signal. Google Meta Platforms learn too early. Churney gives them a better value signal.
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MMM vs pLTV in Ads Manager

True, but pLTV can. User-level predicted value flows into Meta and Google automatically, daily, so they optimize the campaigns you’re already running on long-term value.

Churney Noy Rotbart
CEO
Ecommerce acquisition teams use Churney to bid beyond first-order value.
+33% incremental Day 94 ROAS
+29% incremental Day 30 ROAS

The problem

Your ad platform is optimizing before it knows who becomes valuable.

The difference shows up later in repeat drops, returns, and full-price reorders, after the learning window has already moved budget.

Churney turns the receipt into a predicted value signal early enough for acquisition to learn from it.

↳ See how Churney solves it
Slide from the drop-day receipt to the Churney-enriched value receipt.
Without Churney: early purchase events With Churney: predicted LTV event

The cost

The expensive mistake is treating both buyers the same.

Short-window bidding overvalues buyers who convert on promo week and undervalues buyers whose value shows up after returns clear and the next drop lands.

That means whether ROAS is on target or not, you're also subsidizing customers who never earn back their CAC.

Value over time
Missed value gap
One-time drop buyer Repeat buyer

The solution

Churney gives the platform a signal closer to the outcome you actually care about.

We predict each new buyer’s long-term value from your first-party data, then send platform-ready pLTV signals to Google and Meta.

Step 1 Read the Day 1 signals
behavioral data 1st party data loyalty & engagement purchase information
Hover for signal detail
Step 2 · Churney Churney Predict future customer value
pLTV model Calibrated signal Future value
Hover for model detail
Step 3 Send the signal to ad platforms
Value signal Bid for quality Less Day 1 bias
Google Ads Meta
Hover for platform detail
Keep your campaigns and media buying as they are. Churney simply improves the signal they learn from.

Omnichannel value signals

“The opportunity to oversee our commercial activities, as we continue on our journey to become a wholly omnichannel brand, while not losing that critical digital experience, is something I’m wildly passionate about.”

Omnichannel is exactly where the opportunity compounds: stores, loyalty, workouts, and digital touchpoints generate far richer first-party signal than paid platforms ever see by default. The next unlock is predicting and feeding that fuller picture into Meta and Google as value signals, so optimization rewards the journeys that build a 100-year brand.

Churney Noy Rotbart
CEO

Success

What ecommerce teams say after bidding beyond first-order value.

+33%incremental Day 94 ROAS

"Churney has improved our advertising efficiency. By optimizing for predicted long-term value, we increased ROAS by 33% while gaining scale."

Felix Leshno

Felix LeshnoCo-Founder, Underoutfit

+29%incremental Day 30 ROAS

"Many companies promise improved ROAS, but Churney actually moves the bottom line. We saw immediate improvements in efficiency that allowed us to scale without second-guessing."

Roi Yosef

Roi YosefCTO, Los Angeles Apparel

FAQ

Questions ecommerce teams usually ask.

We already optimize on purchase value / tROAS. Isn’t that enough?

That optimizes on first-order revenue at checkout. In activewear, returns and second purchases often land 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.

We already track cohort LTV and repeat rate internally. Why Churney?

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.

What ecommerce problem does this fix?

Ad platforms learn on first purchase; your best customers often reorder within 30–90 days. Drop and promo weeks can make Day-1 winners look identical. If early spend doesn’t rank the same as late value, tROAS on first order misallocates budget toward one-time buyers. Churney targets customers who will buy again, not just convert once.

How do we know it beats our current setup?

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.

Does it work for every ecommerce brand?

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/

How long does it take to see impact?

Onboarding aside, usually 60–90 days from campaign launch for apparel, because value often appears on 2nd+ orders and after returns clear, 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.

How do we know the lift is incremental?

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.

Will optimizing for LTV kill our new customer volume?

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.

Next step

See how your first-party data can improve acquisition bidding.

Choose the path that fits how ready you are. Book time with Churney, or leave the key details and we will come back with the next best step.

Option 1

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Talk through your acquisition setup, Day 1 signals, and whether pLTV activation is worth testing.

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Option 2

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