How Blinkist lifted Meta D8 ROAS 64%, tested against the custom event its own team had built

Blinkist. Berlin. Subscription app that condenses nonfiction books and podcasts into 15-minute reads and listens. Web-to-app acquisition on Meta.
How wide is the gap on your account?
Blinkist subscription app pLTV case study: +64% Meta D8 ROAS

+64%

D8 ROAS, US, versus control

+31%

D8 ROAS, UK, Canada and Australia, versus control

-20%

Cost per subscription, US, versus control

The Story

Blinkist is a Berlin-based subscription app that condenses nonfiction books and podcasts into 15-minute reads and listens. It acquires new subscribers web-to-app on Meta, through a trial path and a direct-purchase path, and asked Churney to beat the custom conversion event its own team had built.

Churney scaling weights illustration

The Goal

01 · The gap

What the account was paying for

Blinkist sells annual subscriptions through a trial path and a direct-purchase path. Meta optimises inside a seven-day window. The trial converts on day eight.

Every subscription business carries some version of this gap, and pays for it whether or not it does anything about it. Users who convert after the window never feed back into bidding, so the algorithm never learns what they look like. A trial start is a proxy, not a customer. Budget flows daily towards whoever converts cheaply and early, and the users who fund the business are systematically underbid. None of it shows up in the dashboard, because the dashboard reports what the platform was told to chase.

02 · The baseline

The baseline was not naive

Most case studies in this category beat an install event or a trial event. This one did not.

Blinkist's MarTech team had already built a predicted-value signal of its own. In practice the account ran best on conversion optimisation towards a custom event of Blinkist's own design, firing for trials and direct purchases with early cancellations removed. That is further than most subscription teams get, and that event was the control. The brief to Churney was to beat it.

"I had heard positive things from two other founders working with Churney, so I wanted to see whether they could outperform our internal signal. It seemed like a straightforward bet: if they beat our signal, we both win. If they don't, we carry on with our own, confident that we are already in a good place."

Holger Seim — Co-Founder and CEO, Blinkist

"We don't want you to mimic what we are doing, because we want you to do it better."

Holger Seim — briefing the test

03 · The signal

What Churney did

Churney predicted each new user's long-term value within hours of their first session and delivered it to Meta as the value signal for bidding. The platform then had something it had never had on this account: a per-user estimate of what a trial or a purchase would actually be worth, at the moment the bid was placed.

Blinkist's data team connected its data warehouse through a secure, read-only share. No SDK, no changes to the app, no PII leaving the building. Blinkist's UA team kept full control of campaigns, budgets and creative throughout.

The breakthrough

04 · The test

Two tests, two regions

The US test ran Blinkist's own event in one cell and Churney's pLTV signal in the other, everything else identical. Within two weeks the pLTV cell was producing three times the direct purchases of the control.

Blinkist then asked for a second test in new markets, run hands-off from launch, to confirm the result travelled. It did.

"We had made changes to both variants during the first test, so we could not be certain whether the result came from the better event or from our own optimisation along the way. We wanted to be sure. That is why we ran a second test."

Holger Seim — Co-Founder and CEO, Blinkist

05 · The result

The result

Both data teams reconciled the results at user level before anything was called.

US: D8 ROAS 64% higher on the pLTV cell. Twice the share of signups became paying subscribers, the direct-purchase rate ran at two to three times business as usual, and each subscription cost 20% less to acquire.

UK, Canada and Australia: D8 ROAS 31% higher on matured cohorts, hands-off from launch, with a higher share of direct payers.

How this was measured
Method
A clean split test on Meta. Same creatives, audiences and budgets in both cells; the only variable was the signal the campaign optimised towards.
Metric
Day-8 ROAS: revenue over spend, eight days after acquisition.
Source
Blinkist's attribution and data team, reconciled at user level with Churney's.
Scope
Two tests, two regions, summer 2026.
06 · The value

What it is worth

The same spend now returns 64% more day-8 revenue in the US. The account can bank that as efficiency, or spend it as headroom: scale Meta at the return it has today, or hold today's scale at a return the channel could not previously reach. Blinkist is moving its business-as-usual Meta campaigns onto the Churney signal region by region, retiring its own event as it goes, and extending the signal to new markets.

"The most meaningful day-to-day change so far is that I'm checking the split a bit more closely than usual in order to learn as much as possible about the signal, for example when it leaves the learning period, when it will show the first good ROAS signals."

Heiko Mandler — Performance Marketing Manager, Blinkist

07 · The fit

Who this is for, and who it is not

pLTV pays where value varies widely between users and early monetisation is sparse. It pays less where early transaction volume is dense enough for the platform to find high-value users on its own, and it optimises traffic quality, not product conversion, so pricing and paywall come first. Holger's own version is sharper.

"I would tell another founder that Churney is a no-brainer to test if two conditions are met. First, Meta spend is in the mid six figures a month, or on a trajectory to get there. Below that, the fixed cost of running it eats the efficiency the event gains back. Second, trials or monthly subscriptions are a significant share of transactions. That is where predicting which trialists convert and which subscribers renew generates real value. If a company sells mostly annual plans on direct purchase, I see less value conceptually. But I don't know what I don't know."

Holger Seim — Co-Founder and CEO, Blinkist

Churney money tree illustration
"Churney's model makes continuing after a successful test an easy call. The fee is a small share of spend, so as long as their event beats ours by more than that, it makes sense for us to continue. Internally we wanted to see at least ten percentage points of outperformance to justify the focus and the lock-in, and they cleared that threshold comfortably."
Holger Seim
Co-Founder and CEO, Blinkist
Holger Seim, Co-Founder and CEO, Blinkist
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FAQ

Questions subscription teams ask about the Blinkist test.

What was the control?

Blinkist's production optimisation: conversion optimisation towards a custom event firing for trials and direct purchases, with early cancellations removed. Not an install or trial-start event.

Who produced the numbers?

Blinkist's data team, on Blinkist's attribution, reconciled at user level against Churney's reporting. The figures here are the ones Blinkist confirmed in writing.

What did Blinkist have to build?

A read-only share from its data warehouse and one conversion event on the ad platform. Campaigns, budgets and creative stayed with Blinkist's UA team.

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