What Churn Does to a Recurring Commission: Three Years of One Hundred Referrals

In a one-time affiliate model, each payout stands alone. In a recurring code, each payout depends on how many of the people you referred last month stay paying this month. Here is how subscriber churn shapes three years of earnings from one cohort, and why adding new referrals every month compounds the effect. Churn is the single biggest factor in how much a recurring code pays over time.

What is a typical retention rate for nutrition apps?

Zach Yadegari, the founder of Cal AI, cited roughly 30% annual retention as an industry figure in an April 2025 interview. That means about 30% of yearly subscribers renew, and about 70% churn and cancel each year. This is the one third-party figure on the record for this category, and it is the figure used in all examples below. It is not Nutrola data, not a guarantee for any individual app, and not broken down by audience type. Individual apps and creators can differ from it in either direction; the only way to know your own number is to look at your monthly statement and count which referred subscribers still appear the next month.

Retention depends on audience, season, whether the subscriber found the app fits their life, and factors outside your control. None of that can be turned into a number without a source, so this guide reasons only from the one cited figure above. Your statement is the source of truth for your own audience.

What does 30% retention look like over three years?

Illustration, not a promise: assumes you refer 100 yearly subscribers at $8 per renewal at Nutrola's US prices, and 30% of each cohort renews every year. Only new subscribers arrive in year two and year three; the old cohorts shrink. This is how a single group of referrals decays.

Year	Active subscribers from this cohort	Payment count	Commission from this cohort	Cumulative
Year 1	100 new subscribers	100 first payments	100 x $8 = $800	$800
Year 2	30 renewals (30% of 100)	30 renewal payments	30 x $8 = $240	$1,040
Year 3	9 renewals (30% of 30)	9 renewal payments	9 x $8 = $72	$1,112

A single cohort of 100 referrals pays $800 in year one, then $240 in year two, then $72 in year three, for a total of $1,112 over three years. Most of the lifetime value lands in year one and year two. By year three, only 9% of the original cohort is still paying. This is why consistency and adding new referrals every month matters so much: the old cohorts are shrinking faster than they earn, and you need new streams of income to keep revenue stable.

What happens if you refer new subscribers every month?

The cohorts stack, and the stacking effect is why recurring codes compound. Year three's earnings do not come from one cohort anymore; they come from three sources stacked on top of each other: new year-three referrals generating their full first-payment revenue, year-two subscribers surviving and renewing, and year-one survivors surviving twice and renewing again. That is why consistency compounds so much faster than a single spike. If you stop referring subscribers, your income drops off quickly because the old cohorts churn. If you keep referring, new cohorts replace the falling earnings from old ones.

Year	New cohort first payments	Year-two survivors renewing	Year-one survivors renewing	Total commission	Cumulative over 3 yrs
Year 1	100 x $8 = $800	None	None	$800	$800
Year 2	100 x $8 = $800	30 x $8 = $240	None	$1,040	$1,840
Year 3	100 x $8 = $800	30 x $8 = $240	9 x $8 = $72	$1,112	$2,952

Notice how year three's total is not $800 (just the new cohort); it is $1,112 because old cohorts are still paying. Three cohorts stacked build on each other. That three-year total of $2,952 assumes 100 new referrals arrive every single year with no variation. If you have quiet months or stop promoting, the total drops proportionally. This is the compounding effect of recurring commission: you are not paid just on this month's sales, you are paid on all the old sales that are still renewing.

Why does retention matter more in a recurring model?

Because the revenue from old cohorts depends entirely on how many people stick around. In a one-time model (like MacroFactor's 40% first payment), each subscriber pays once and then stops; retention is irrelevant. In a recurring model (like Nutrola's 20% of every payment), each subscriber pays every time they renew; high retention means high lifetime payout, low retention means the cohort dies fast. This is why Nutrola builds each offer around the creator's recent reach and audience quality, not just reel views. A creator whose audiences trust fitness content and stay longer is worth more to an app than a creator with the same views but audiences who are just browsing and churn immediately.

The tables show arithmetic only. Real churn varies by audience, by how the app fits your content, by the app's own price changes, by seasons, and by factors you cannot control. What you can control is tracking your own monthly statement to see your subscribers' renewal rate, and understanding that the value of a referral is not just the first payment, it is the lifetime value if they stay.

How to measure your own conversion rate. The lifetime value of one subscriber. Three scenarios by account size with renewals.