Performance marketing for AI-era growth – backed by models, not gut feeling.

Benchmarks only – the numbers the tool uses before you enter anything of your own. Your plans and prices are the one thing it cannot know. Notation: [B] benchmark · [E] estimate · [A] assumption.

What is in here
  • Every benchmark the Unit Economics Calculator ships with, dated: 32 distinct inputs across two funnels and the LTV block (24 in the app funnel, 22 in the web funnel), 6 verticals, 6 geos, 18 public sources.
  • Each input carries its tag – B benchmark, E estimate, A assumption – and the source it came from. Today that is 11 B, 14 E, 7 A.
  • The tables are generated from the calculator's own constants, not typed: a number that changes in the tool changes here, and a number that is not in the tool cannot appear here.
  • One run is one dated snapshot, kept alongside the previous ones, so the record of where these benchmarks stood accumulates over time.

Snapshot 2026-09-07 · calculator v1.1

What the calculator shipped with on this date. Download this snapshot as CSV – 126 rows, long format, one row per benchmark.

Table 1. App → app funnel, 10 inputs

InputTagP25MedianP75Source
CPM – base, $ / 1000 impressions
Lebesgue country CPMs 2026 · P25/P75 band is our reconstruction
Eper geo – Table 5Lebesgue ↗
CTR – impression → click
Our band for video/UGC install creatives · panels: 0.9–2.4%
E1.2%1.6%2%Superads ↗
Click → store page
In-app browser → deeplink loss · no public data
A85%90%95%
Store CVR (page → install)
SplitMetrics (App Store) · AppTweak H1 2024 (Play) · stores not comparable
Bper vertical and store – Table 4SplitMetrics ↗
Paid-traffic factor – % of the store CVR that paid traffic achieves
Paid traffic converts below blended store medians · no public split
A70%80%90%
Install → paywall view (composite: open + onboarding + registration)
Superwall 2022: 56% average, ≥85% recommended target
B45%56%85%Superwall ↗
Paywall view → trial start
Derived: RC install→trial ÷ install→paywall · matches RC by construction
Ederived: install→trial ÷ install→paywallRevenueCat ↗
Organic uplift – extra organic installs, % of paid installs
TUNE 2017: 1.5 organic per paid · hard-paywall practice 10–40%
E10%25%40%TUNE ↗
Trial share of new subscriptions (rest buy directly at the paywall)
No public benchmark
A85%90%95%
No-trial paywall: direct purchases as a share of the trial-start rate
Adapty 2026: no-trial paywall ×0.6 ceiling · A/B practice ×0.3–0.5
E×0.4 of the trial-start rateAdapty ↗

Table 2. Web → web funnel, 8 inputs

InputTagP25MedianP75Source
CPM – base (web campaigns), $ / 1000 impressions
Triple Whale 2025–26 median $15.06, no geo split · US 45+ health runs $40–100+
Eper geo – Table 5Triple Whale ↗
CTR – impression → click (web)
Assumption for purchase-optimized web · no quiz-funnel panel exists
A0.9%1.3%1.8%
Click → LP view
Link click → LP view loss · no public data · >100% in Ads Manager → enter 100
A90%93%95%
LP → quiz start
web2app practice 30–40% · Interact only measures from quiz start
A30%38%40%
Quiz start → finish
Interact 2026: 47–65% by category
B50%60%65%Interact ↗
Finish → email submit
Interact 2026, start→lead ÷ start→finish · no email step? enter 100
B60%65%75%Interact ↗
Paywall → initiated checkout
Adapty 2026: web paywall ×0.69 of in-app · intro-offer quizzes run above band
A5%10%15%Adapty ↗
Checkout completion (initiated → paid)
Practitioner band · Stripe: Apple Pay +22.3% lift, no absolute rates
E25%40%60%Stripe ↗

Table 3. LTV inputs, 14

InputTagP25MedianP75Source
Monthly retention M1 (share still paying at the 1st renewal)
Our band · RC 2026 1st monthly renewal medians 42–61%
E50%61%68%
Monthly retention M6 (anchor)
RC SOSA 2026: 14–26%
B14%20%26%RevenueCat ↗
Monthly retention M12 (anchor)
RC SOSA 2026: 6–14%
B6%10%14%RevenueCat ↗
My 1st monthly renewal
Placeholder from RC 2026 medians 42–61% · replace with YOUR number
E53%57%61%RevenueCat ↗
My 2nd monthly renewal
Placeholder from RC SOSA 2026 renewal-by-cycle chart · replace with YOUR number
E65%71%77%RevenueCat ↗
Yearly renewal at M13
RC 2026: 1st annual renewal 23–40% · price ramp above $50
B22%30%40%RevenueCat ↗
Weekly renewal #1 (= my 1st in fit mode)
RC 2026: 1st weekly renewal medians 35–58%
B35%46%58%RevenueCat ↗
Weekly renewal #2 (= my 2nd in fit mode)
RC SOSA 2026 renewal-by-cycle chart (report PDF)
E67%71%75%RevenueCat ↗
Weekly renewal #3+ base
RC 2026: 3rd+ weekly renewal 74–91% · our P75 capped at 85%
B74%80%85%RevenueCat ↗
Weekly survival at week 26 (≈ M6) – tail anchor
RC 2026: ~10% still paying at week 26 · least certain number in weekly LTV
E10% at week 26, scaled by your first three renewalsRevenueCat ↗
Trial → paid
RC 2026 by vertical × geo factor × trial length
Bper vertical × geo – Tables 4 and 5RevenueCat ↗
Refund rate (applied to first payment only)
RC SOSA 2026: 2.5–4.7% of first payments
Bper vertical – Table 4RevenueCat ↗
Upsells & offers – ARPU uplift on top of base subscriptions
Default 0 · welcome offers add +10–15% ARPU (Adapty)
E0 by defaultAdapty ↗
VAT/GST included in price (deducted before store split)
Default = acquisition geo · see Reference › VAT by country
Eper geo – Table 5

Table 4. By vertical, P25 – median – P75

VerticalStore CVR, App StoreStore CVR, PlayInstall → trialTrial → paidTagRefundsPlan mix w / m / y, %
Health & Fitness13% – 18.5% – 24%17% – 23.2% – 29%5% – 6.9% – 16%30% – 37.7% – 51.4%B3.5%15 / 24 / 61
Productivity7% – 10% – 14%9% – 12.5% – 17%4% – 5.5% – 10%22% – 30% – 42%E4.7%35 / 25 / 40
Education4.5% – 6.75% – 10%23% – 30.4% – 38%4.5% – 6.5% – 12%25% – 33% – 45%E4%30 / 25 / 45
Photo & Video6% – 9% – 13%8% – 11% – 16%4% – 5.5% – 10%15% – 22.2% – 33.1%B4.5%40 / 25 / 35
Utilities7% – 10% – 14%9% – 12.5% – 17%4.5% – 6.5% – 12%22% – 30% – 42%E3%50 / 25 / 25
Media & Entertainment6% – 8.6% – 12%14% – 18.9% – 28.8%3% – 4% – 8%11.5% – 19.1% – 43.8%E3.5%40 / 30 / 30

Table 5. By geo, P25 – median – P75 where a band exists

GeoCPM app→app, P25 – median – P75CPM web→web, P25 – median – P75CPI benchmark iOS / AndroidPrice indexVATInstall → trial factorTrial → paid factor
North America / T1 EN$12 – $16 – $23$11 – $15.06 – $18$6.8 / $3.9×1.00%×1.0×1.0
Western Europe$7 – $9 – $12$8 – $9.5 – $11$5.4 / $2.8×1.321%×0.7×0.87
LatAm$2 – $3 – $5.5$2 – $3.2 – $4.5–×0.613%×0.5×0.62
Turkey$0.9 – $1.2 – $2$0.89 – $2 – $3.41–×0.2920%×0.5×0.65
Gulf (SA/AE/QA)$10 – $12 – $12.7$10 – $12 – $12.7–×1.3510%×0.7×0.65
IN / SEA$1.4 – $2 – $3.4$1.4 – $2 – $3.4–×0.612%×0.45×0.44

Table 6. Sources

PublisherURLInputs citing it
Adapty ↗https://adapty.io/blog/high-performing-paywall-2026/3
Adapty ↗https://adapty.io/blog/app-store-conversion-rate/–
Adapty ↗https://adapty.io/blog/subscription-app-success-2026/–
UXCam ↗https://uxcam.com/blog/product-funnel/–
Adjust ↗https://www.adjust.com/blog/what-is-a-good-conversion-rate/–
AppTweak ↗https://www.apptweak.com/en/aso-blog/average-app-conversion-rate-per-category–
Interact ↗https://www.tryinteract.com/blog/quiz-conversion-rate-report/2
Lebesgue ↗https://lebesgue.io/facebook-ads/facebook-cpm-by-country1
RevenueCat ↗https://www.revenuecat.com/state-of-subscription-apps/8
RevenueCat ↗https://www.revenuecat.com/blog/engineering/android-paywall-gap–
RevenueCat ↗https://www.revenuecat.com/blog/growth/google-play-billing-error-churn-how-to-fix/–
RevenueCat ↗https://www.revenuecat.com/blog/growth/average-subscription-renewal-rates-by-app-category4
SplitMetrics ↗https://appscreenshotstudio.com/blog/good-app-store-conversion-rate-benchmarks-20261
Stripe ↗https://stripe.com/blog/testing-the-conversion-impact-of-50-plus-global-payment-methods1
Superads ↗https://www.superads.ai/facebook-ads-costs/ctr-click-through-rate1
Superwall ↗https://superwall.com/blog/app-monetization-two-important-metrics-you-probably-arent-tracking1
TUNE ↗https://www.tune.com/blog/paid-organic-measurably-better-together-organic-uplift/1
Triple Whale ↗https://www.triplewhale.com/blog/facebook-ads-benchmarks1

A dash: the source is in the calculator’s source list as a cross-check or background reading, and no input takes its value from it – 7 of 18.

About the author

Maria Atamanova – Senior Growth & Performance Marketing Manager and applied mathematician; twelve years growing businesses – apps, e-commerce, EdTech, AI data platforms – on numbers, not gut feeling.

“Does the growth math close?” is asked on every product, so it deserves one model that is sourced and tested rather than rebuilt from scratch. This one was proven on real work – Praktika, Toloka, Growth That Doesn’t Lie to Itself.

Hiring a senior growth or performance lead? See the case studies · hello@mariascales.com · LinkedIn