Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
HeadingThis is some text inside of a div block.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
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 orders, upsells, and renewals. By then, the learning window has already made budget decisions.
Churney turns the receipt into a predicted value signal early enough for acquisition to learn from it.
Value over time
[Chart: One-time buyer value starts higher then future customer value crosses later and grows. Missed value gap shown between Day 30 and Day 90.]
The cost
The expensive mistake is treating both buyers the same.
Short-window bidding overvalues buyers who convert once and undervalues buyers whose real value appears after Day 30, Day 60, Day 90 or even later.
That means whether ROAS is on target or not, you're also subsidizing customers who never earn back their CAC.
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, 0 party data, purchase information
Step 2 - Churney
Predict future customer value
pLTV model, Calibrated signal, Future value
Step 3
Send the signal to ad platforms
Value signal, Bid for quality, Less Day 1 bias. Google Ads + Meta.
Keep your campaigns and media buying as they are. Churney simply improves the signal they learn from.
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, Co-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, CTO, 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. 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.
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.
What ecommerce problem does this fix?
Ad platforms learn on first purchase; your best customers often reorder within 30-90 days. 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, with holdouts and cohort readout when repeat orders mature.
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. You can test your growth predictability at gpt.churney.io.
How long does it take to see impact?
Usually 60-120 days from campaign launch, because ecommerce value often appears on 2nd+ orders, not at first purchase.
How do we know the lift is incremental?
We prove it with a structured test against what you run today. New customers acquired with Churney's pLTV signal perform better on long-term value.
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.
Next step
Find out 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.
