growth playbook · Oct 23, 2026

Adapty growth playbook

Adapty is a fast-growing subscription platform (30,000+ apps on its homepage, $5B revenue tracked) whose hiring shows the next phase: Growth PMs who act as monetization partners for portfolios of 30-40 apps, a Product Lead to make predictions accurate and dashboards fast, and a Head of Product to turn many products into one RevenueOS.

Its public assets are strong but uneven: the Paywall Library's screenshots stop in late 2024, its category pages are blocked from Google, headline numbers disagree, and Apphud has no comparison page.

This playbook refreshes the library into teardowns, fixes the crawl block and the numbers, then builds Growth PM programs (threshold reviews, adoption scores, add-on triggers), proof for predictions, and longer bets on finance and agent distribution.

Growth Score

Biggest Opportunity

Turn the paywall data Adapty already owns, in the library, the report and the teardown skill, into fresh, personal recommendations that lead straight to a Growth PM.

Biggest Risk

RevenueCat is much larger, and Superwall, Qonversion and Apphud are adding AI, predictions and attribution, so stale public assets and conflicting claims make Adapty look less current than it is.

Start here

The three moves to make first. Each one is written up in full below.

Refresh the Paywall Library and turn every page into a paywall teardown, the work the new Growth PM is hired to do
Re-capture the 50 highest-revenue apps in the library and compare their current paywalls with the stored screenshots.
High impact First result in 1 month
Let search engines crawl the 25 Paywall Library category pages that robots.txt blocks
Test the category URLs in the Search Console robots.txt tester.
High impact First result in 1 month
Pick one set of headline numbers and use it everywhere
List every public figure and where it appears.
Medium impact First result in 2 weeks

Your idea portfolio

21 ideas, grouped by when to run them. Open any idea for how to run it: the steps, who to approach, copy you can use, and how to measure it.

7 ideas are marked Unexpected: plays you are unlikely to have tried.

This week 6

Quick wins with a clear first action.

Adapty is hiring a Growth Product Manager to bring apps "concrete recommendations on paywalls, pricing, and A/B tests". Its biggest public asset for that conversation, the Paywall Library of roughly 9,000 app pages, has gone stale: in a sample of 32 pages the newest screenshot was captured on November 3, 2024, and the oldest in December 2021. The sitemaps still date almost every page to October 2024, the index claims 8,900+ paywalls in one place and 10,000+ in another, and each page ends with a generic Paywall Builder button instead of the teardown skill and 2026 benchmarks Adapty already has.
High impactMedium effort First result in 1 month Content Marketing Lead
First action
Re-capture the 50 highest-revenue apps in the library and compare their current paywalls with the stored screenshots.
How to measure it
Library-sourced teardown and demo requests
Now
–
Target
300 a month
By
90 days
Steps
Rank pages
Library pages by traffic and app revenue estimate.
SEO Manager 1 day
Re-capture
New screenshots for the top 1,000 apps, oldest first.
Content Marketing Lead 2 weeks
Add the test block
Three test ideas per paywall from the teardown method.
Growth Product Manager (CS Team) 2 weeks
Link benchmarks
Category conversion medians from State of Paywalls 2026.
Content Marketing Lead 3 days
Swap the call to action
"Tear down my paywall" next to Paywall Builder.
Product Marketing Manager 1 day
Fix dates and counts
True lastmod values and one library count.
SEO Manager 1 day
Measure
Requests, sign-ups and Growth PM conversations by page.
Data Analyst monthly
First result
1 month
Cost
Capture tooling and writing time
Owner
Content Marketing Lead
Smallest test
Refresh 50 pages, add the test block and compare their requests with 50 untouched pages for a month.
Why it works
Ready to use
ChecklistLibrary page refresh list
Risks and how to handle them
Evidence
robots.txt blocks every URL containing /category/ except blog categories, so Google cannot crawl the 25 library category pages, even though the sitemap lists them and each says "index, follow". AI crawlers, which have their own rule group, are allowed in. Category pages such as "Health & Fitness paywalls" are the natural entry point for searches like "fitness app paywall examples".
High impactLow effort First result in 1 month SEO Manager
First action
Test the category URLs in the Search Console robots.txt tester.
How to measure it
Category page impressions
Now
–
Target
+50,000 a month
By
90 days
Steps
Confirm the block
robots.txt tester for three category URLs.
SEO Manager 1 hour
Edit robots.txt
Allow the library category path.
Web Developer 1 hour
Keep facets out
Query-string URLs stay disallowed.
Web Developer 1 hour
Write intros
Two paragraphs and the benchmark per category.
Content Marketing Lead 1 week
Request crawl
Search Console for all 25.
SEO Manager 1 day
Monitor
Impressions and clicks by category.
SEO Manager weekly
First result
1 month
Cost
$0
Owner
SEO Manager
Smallest test
Unblock one category and compare its impressions after four weeks.
Why it works
Risks and how to handle them
Evidence
The homepage says 30,000+ apps and $5B revenue tracked; the job posts say 20K+ apps and $3B+ (and $2B+) a year; State of Paywalls says 78,000 paywalls and the teardown skill says 105K+; the library says both 8,900+ and 10,000+. Each may be right for its own definition, but buyers, journalists and AI assistants see contradictions.
Medium impactLow effort First result in 2 weeks Product Marketing Manager
First action
List every public figure and where it appears.
How to measure it
Pages on the agreed figures
Now
–
Target
100% of top 50
By
1 month
Steps
Inventory
Every figure on site, job posts and decks.
Product Marketing Manager 1 day
Define
What each number counts and its date.
Data Analyst 1 day
Publish
"Adapty in numbers" page.
Product Marketing Manager 1 day
Update pages
Homepage, library, reports, careers.
Web Developer 2 days
Update job template
Shared company paragraph.
Talent Acquisition 1 hour
Refresh
Every quarter.
Product Marketing Manager quarterly
First result
2 weeks
Cost
$0
Owner
Product Marketing Manager
Smallest test
Fix the library count and the job-post paragraph today.
Why it works
Risks and how to handle them
Evidence
Adapty has comparison pages for RevenueCat, Superwall, Qonversion and Purchasely, but /compare/apphud/ returns 404. Apphud's homepage now leads with "Apphud Attribution. No per-install fees", which competes with Adapty Attribution and Ads Manager.
High impactLow effort First result in 1 month Product Marketing Manager
First action
Check Apphud's current pricing and attribution features.
How to measure it
Apphud comparison sign-ups
Now
–
Target
40 a month
By
90 days
Steps
Research
Apphud features and pricing from its own pages.
Product Marketing Manager 2 days
Write
Fair table and switching section.
Product Marketing Manager 3 days
Review claims
Every claim dated and sourced.
Legal 2 days
Publish
English first.
Web Developer 1 day
Translate
Same 12 languages as the others.
Content Marketing Lead 2 weeks
Refresh
Quarterly.
Product Marketing Manager quarterly
First result
1 month
Cost
Staff and translation time
Owner
Product Marketing Manager
Smallest test
Publish the English page and track sign-ups.
Why it works
Risks and how to handle them
Evidence
Adapty is free until $5K a month and then 1% of revenue, with add-ons priced on revenue, ad spend or extra revenue. The pricing page only calculates Refund Saver, so an app owner has to work out the full bill themselves.
Medium impactLow effort First result in 1 month Product Marketing Manager
First action
Write the formulas for the core fee and three add-ons.
How to measure it
Pricing page sign-ups
Now
–
Target
+10%
By
60 days
Steps
Agree formulas
Core and add-ons.
Product Marketing Manager 1 day
Design
Two inputs, one bill.
Product Designer 2 days
Build
On the existing calculator.
Web Developer 3 days
Route big apps
Demo link above a revenue level.
Head of Sales 1 day
Test
Against the current page.
Data Analyst 3 weeks
Use in sales
Same math in calls.
Head of Sales ongoing
First result
1 month
Cost
Development time
Owner
Product Marketing Manager
Smallest test
Add a static table of the bill at four revenue levels.
Why it works
Risks and how to handle them
Evidence
Adapty has 33 case studies with strong numbers (Feeld doubled revenue after 42 tests; Pregnancy+ went from 1 to 9+ experiments a quarter; HubX moved 40+ apps). The new Growth PM will need the right proof for each of 30-40 apps; the index shows them as a flat list.
Medium impactLow effort First result in 2 weeks Growth Product Manager
First action
Tag ten stories by goal.
How to measure it
Sign-ups after a case study view
Now
–
Target
+15%
By
60 days
Steps
Tag
Goal, category, size.
Content Marketing Lead 2 days
Add filters
On the index.
Web Developer 2 days
Write summaries
One line each.
Content Marketing Lead 1 day
Give to CS
In the CRM.
Growth Product Manager (CS Team) 1 day
Fill gaps
Missing goals become new stories.
Content Marketing Lead ongoing
Measure
Views and sign-ups.
Data Analyst monthly
First result
2 weeks
Cost
$0
Owner
Growth Product Manager (CS Team)
Smallest test
Tag the stories and send three to current accounts.
Why it works
Risks and how to handle them
Evidence

This quarter 9

The core plays for the next three months.

Adapty is free until $5K a month in revenue, then takes 1%. The month an app starts paying is when its team decides whether Adapty is worth it, and the Growth PM role exists to bring concrete paywall and pricing recommendations.
High impactMedium effort First result in 1 quarter Growth Product Manager
First action
List the apps that crossed $5K last month.
How to measure it
12-month retention of newly paying apps
Now
–
Target
+10 points
By
3 quarters
Steps
Find crossings
Monthly list of apps crossing $5K.
Data Analyst 1 week
Template
Benchmarks, three tests, one add-on.
Growth Product Manager (CS Team) 1 week
Send
Within two weeks of crossing.
Growth Product Manager (CS Team) monthly
Follow up
Call for apps that reply.
Growth Product Manager (CS Team) ongoing
Measure
Retention vs a holdout.
Data Analyst quarterly
Scale
Automate the benchmark part.
Product Lead (Analytics & ML) 1 quarter
First result
1 quarter
Cost
Growth PM time
Owner
Growth Product Manager (CS Team)
Smallest test
Review the ten largest apps that crossed last month.
Why it works
Risks and how to handle them
Evidence
The Growth PM is asked to audit "underused features" and spot at-risk accounts early across 30-40 apps. Adapty has many features (paywall builder, A/B tests, Autopilot, predictions, Refund Saver, attribution) and usage data for each.
High impactMedium effort First result in 1 quarter Growth Product Manager
First action
Find the five features most used by retained accounts.
How to measure it
Accounts at target adoption
Now
–
Target
70%
By
2 quarters
Steps
Find features
From retained cohorts.
Data Analyst 2 weeks
Build score
In the CRM.
RevOps 2 weeks
Alerts
Drops and inactivity.
RevOps 1 week
Use in calls
Gaps as the agenda.
Growth Product Manager (CS Team) ongoing
Review
Score vs churn.
Data Analyst quarterly
Refine
Adjust weights.
Data Analyst quarterly
First result
1 quarter
Cost
Analyst time
Owner
Growth Product Manager (CS Team)
Smallest test
Score one portfolio by hand.
Why it works
Risks and how to handle them
Evidence
The Growth PM is asked to "unlock and close cross-sells". Adapty's add-ons each fit a visible situation: Refund Saver for high refund rates, Adapty Finance for fast-growing apps waiting on store payouts, Ads Manager for Apple Ads spenders, Mail for churned users.
High impactMedium effort First result in 2 quarters Growth Product Manager
First action
Pick refund rate as the first trigger.
How to measure it
Accounts with an add-on
Now
–
Target
+20%
By
2 quarters
Steps
Define triggers
One per add-on.
Growth Product Manager (CS Team) 2 weeks
Estimate gain
Per account.
Data Analyst 2 weeks
Show to CS
CRM list.
RevOps 1 week
In-app prompt
With the number.
Head of Product 1 month
Run
Monthly lists.
Growth Product Manager (CS Team) monthly
Measure
Attach and revenue.
Data Analyst monthly
First result
2 quarters
Cost
Product and analyst time
Owner
Growth Product Manager (CS Team)
Smallest test
Email ten high-refund accounts the Refund Saver estimate.
Why it works
Risks and how to handle them
Evidence
The Product Lead post says plainly: "Our dashboards are slow, so people stop opening them." Dashboards are where customers see the value they pay 1% for.
High impactHigh effort First result in 2 quarters Product Lead
First action
Measure p75 load time of the five top views.
How to measure it
Weekly dashboard users
Now
–
Target
+30%
By
2 quarters
Steps
Measure
Load times by view.
Product Lead (Analytics & ML) 1 week
Set targets
Per view.
Product Lead (Analytics & ML) 1 week
Fix
Caching and query work.
Backend Engineer 1 quarter
Track use
Weekly users per account.
Data Analyst 2 weeks
Share with CS
Usage drops as alerts.
Growth Product Manager (CS Team) ongoing
Announce
Changelog and email.
Product Marketing Manager 1 day
First result
2 quarters
Cost
Engineering time
Owner
Product Lead (Analytics & ML)
Smallest test
Fix the slowest view first.
Why it works
Risks and how to handle them
Evidence
The Product Lead role owns "how we prove that to a customer" that predictions are accurate, and Qonversion now also markets LTV predictions. A public, dated backtest (predicted vs actual for past cohorts) is proof a competitor's claim cannot match.
High impactHigh effort First result in 2 quarters Product Lead
First action
Backtest one horizon on last year's cohorts.
How to measure it
Accounts using predicted LTV
Now
–
Target
+25%
By
3 quarters
Steps
Backtest
Matured cohorts.
Product Lead (Analytics & ML) 1 month
Set method
Error measure and horizons.
Product Lead (Analytics & ML) 2 weeks
Publish
Ranges by category.
Product Marketing Manager 2 weeks
Per-app view
In the dashboard.
Product Lead (Analytics & ML) 1 quarter
Update
Monthly.
Data Analyst monthly
Sell with it
Demos and comparison pages.
Head of Sales ongoing
First result
2 quarters
Cost
ML team time
Owner
Product Lead (Analytics & ML)
Smallest test
Publish one chart of predicted vs actual.
Why it works
Risks and how to handle them
Evidence
The State of Paywalls 2026 form already asks for the visitor's app. Adapty knows the category and region medians (US 2.75%, Europe 1.38%) and can estimate where the app sits.
High impactMedium effort First result in 1 quarter Product Marketing Manager
First action
Build the page by hand for 20 sign-ups.
How to measure it
Report-to-call rate
Now
–
Target
5%
By
90 days
Steps
Define the fields
Category, region, visible paywall facts.
Data Analyst 1 week
Design the page
One page per app.
Product Designer 1 week
Build
Generated after the form.
Web Developer 1 month
Add offers
Skill and call.
Product Marketing Manager 1 day
Route
Calls to Growth PMs.
Head of Sales 1 week
Measure
Calls and sign-ups.
Data Analyst monthly
First result
1 quarter
Cost
Development time
Owner
Product Marketing Manager
Smallest test
Send 20 personal benchmarks by email.
Why it works
Risks and how to handle them
Evidence
State of Paywalls 2026 has conversion and trial benchmarks by region and category, but the figures live behind a form. Searches such as "paywall conversion rate health and fitness" have no Adapty page to land on.
High impactMedium effort First result in 1 quarter SEO Manager
First action
Publish the Health & Fitness page first.
How to measure it
Benchmark page sessions
Now
–
Target
20,000 a month
By
2 quarters
Steps
Pick pages
Eight categories, five regions.
SEO Manager 1 week
Write
Medians and one chart.
Content Marketing Lead 1 month
Link
Report and library category.
SEO Manager 1 week
Structured data
Dataset markup.
Web Developer 1 week
Promote
Newsletter and LinkedIn.
Content Marketing Lead ongoing
Update
Each new report.
Content Marketing Lead yearly
First result
1 quarter
Cost
Writing time
Owner
SEO Manager
Smallest test
Publish one category page.
Why it works
Risks and how to handle them
Evidence
RevenueCat is the largest rival (155K+ apps). Adapty says migration takes a few days to a week, can run alongside the current setup, and has BibleChat (switched in one week) and HubX (40+ apps) as proof.
High impactMedium effort First result in 2 quarters Head of Sales
First action
Define the offer terms.
How to measure it
RevenueCat migrations
Now
–
Target
30 a quarter
By
2 quarters
Steps
Set terms
Help, overlap, review.
Head of Sales 1 week
Write page
On the comparison page.
Product Marketing Manager 1 week
Train
Solutions engineers.
Head of Sales 1 week
Outreach
Apps on RevenueCat.
Head of Sales ongoing
Run migrations
With a checklist.
Solutions Engineer ongoing
Report
Before and after revenue.
Growth Product Manager (CS Team) monthly
First result
2 quarters
Cost
Migration support time
Owner
Head of Sales
Smallest test
Offer the program to ten apps.
Why it works
Risks and how to handle them
Evidence
Adapty integrates with Adjust, AppsFlyer, Branch, Singular, Tenjin and others and has a "Become a partner" page. UA agencies and MMPs talk to growth managers every day.
Medium impactMedium effort First result in 2 quarters Partnerships Manager
First action
List 20 UA agencies working with subscription apps.
How to measure it
Partner sign-ups
Now
–
Target
50 a quarter
By
2 quarters
Steps
List partners
Agencies and MMPs.
Partnerships Manager 2 weeks
Offer
Fee and reporting.
Partnerships Manager 2 weeks
Sign five
Agencies.
Partnerships Manager 1 quarter
Webinars
Two MMPs.
Product Marketing Manager 1 quarter
Track
Partner links.
RevOps 1 week
Review
Revenue by partner.
Partnerships Manager quarterly
First result
2 quarters
Cost
Referral fees
Owner
Partnerships Manager
Smallest test
Sign one agency.
Why it works
Risks and how to handle them
Evidence

Big bets 3

Larger plays that can change the trajectory.

The Product Lead post says better LTV predictions let Adapty "lend against subscription revenue that hasn't arrived", and Adapty Finance already advances up to 85% of store proceeds from 2.5%. Lending against future cohorts would fund apps' ad spend directly.
High impactHigh effort First result in 4 quarters Head of Product
First action
Model three past cohorts as if they had been funded.
How to measure it
Pilot advances
Now
–
Target
20 apps
By
4 quarters
Steps
Model
Backtest funded cohorts.
Product Lead (Analytics & ML) 1 quarter
Partner
Finance provider.
Head of Product 1 quarter
Legal
Terms by country.
Legal 1 quarter
Pilot
20 apps.
Head of Product 2 quarters
Monitor
Repayment vs prediction.
Data Analyst monthly
Decide
Scale or stop.
Head of Product 1 month
First result
4 quarters
Cost
Capital partner and legal costs
Owner
Head of Product
Smallest test
Run the backtest.
Why it works
Risks and how to handle them
Evidence
Adapty already says it is "built for humans and their agents" and offers Claude skills for paywall A/B testing and teardowns behind its forms. Growth managers increasingly ask assistants first.
High impactHigh effort First result in 3 quarters Head of Product
First action
Count sign-ups from the two current skills.
How to measure it
Skill-sourced sign-ups
Now
–
Target
500 a quarter
By
3 quarters
Steps
Measure today
Skill downloads to sign-ups.
Data Analyst 1 week
Plan the set
Ten tasks.
Head of Product 2 weeks
Build
Skills and connection.
Platform Engineer 2 quarters
Directory
Public page.
Product Marketing Manager 1 month
Promote
Developers and community.
Content Marketing Lead ongoing
Measure
Usage and conversion.
Data Analyst monthly
First result
3 quarters
Cost
Engineering time
Owner
Head of Product
Smallest test
Release one more skill and track it.
Why it works
Risks and how to handle them
Evidence
State of Paywalls is yearly, and the price radar and pricing index already exist. A monthly index of conversion, trial and price movements by category would give press and growth teams a reason to come back each month.
High impactHigh effort First result in 3 quarters Data Analyst
First action
Build one month of the index.
How to measure it
Index email subscribers
Now
–
Target
10,000
By
3 quarters
Steps
Pick measures
Five charts.
Data Analyst 2 weeks
Automate
Monthly pipeline.
Data Analyst 1 quarter
Privacy review
Aggregates only.
Legal 1 month
Publish
Page and email.
Content Marketing Lead monthly
Pitch
Press.
Product Marketing Manager monthly
Review
Growth after six issues.
Content Marketing Lead 2 quarters
First result
3 quarters
Cost
Analyst time
Owner
Data Analyst
Smallest test
Publish one chart monthly.
Why it works
Risks and how to handle them
Evidence

Wildcards 3

Unexpected experiments, each with a cheap way to test it.

The @SubhubEn channel has about 1,390 subscribers and 120 videos, while the library has thousands of paywalls of famous apps. A 60-second "why this paywall works" is easy to make every week.
Medium impactLow effort First result in 1 quarter Content Marketing Lead
First action
Record one teardown.
How to measure it
Teardown views
Now
–
Target
50,000 a quarter
By
2 quarters
Steps
Pick apps
Top revenue in the library.
Content Marketing Lead weekly
Script
Three test ideas.
Growth Product Manager (CS Team) weekly
Record
Short video.
Content Marketing Lead weekly
Post
YouTube, LinkedIn, newsletter.
Content Marketing Lead weekly
Link
Library page and skill.
Content Marketing Lead weekly
Review
After 12 episodes.
Content Marketing Lead 1 quarter
First result
1 quarter
Cost
Video time
Owner
Content Marketing Lead
Smallest test
Post three teardowns.
Why it works
Risks and how to handle them
Evidence
Adapty runs a Discord subscriptions hub and is hiring Growth PMs who know monetization well. Smaller apps that do not get a Growth PM still need advice.
Medium impactLow effort First result in 1 quarter Growth Product Manager
First action
Announce the first session.
How to measure it
Attendee upgrades
Now
–
Target
10%
By
2 quarters
Steps
Announce
Discord and newsletter.
Content Marketing Lead 1 week
Collect
Paywall submissions.
Content Marketing Lead 1 week
Run
Live review.
Growth Product Manager (CS Team) monthly
Record
Post clips.
Content Marketing Lead monthly
Follow up
Attendees.
Growth Product Manager (CS Team) monthly
Measure
Upgrades.
Data Analyst quarterly
First result
1 quarter
Cost
Staff time
Owner
Growth Product Manager (CS Team)
Smallest test
Run one session.
Why it works
Risks and how to handle them
Evidence
The Anatomy Learning page lists "1,375 reviews" in one block and "487 ratings" in another, and shows an October 2026 data update next to 2023 screenshots. Small contradictions undercut a library sold as real data.
Medium impactLow effort First result in 1 month Data Analyst
First action
Run the check on 100 pages.
How to measure it
Pages with conflicts
Now
–
Target
0
By
1 quarter
Steps
Define checks
Ratings, prices, dates.
Data Analyst 1 week
Run
All pages.
Data Analyst 1 week
Fix source
Data pipeline.
Backend Engineer 2 weeks
Add date
One "last checked".
Web Developer 2 days
Rerun
Monthly.
Data Analyst monthly
Report
Issues found.
Data Analyst monthly
First result
1 month
Cost
Analyst time
Owner
Data Analyst
Smallest test
Check 100 pages.
Why it works
Risks and how to handle them
Evidence

How Programmable can help

Where an idea in this playbook is something Programmable builds or runs, it's listed here with what we'd do. Everything else is yours to run.

Talk

Fill the events in this plan

These ideas are events. Talk gets registrants for them and tells you who's coming and what their company does before the day.

Plan an event

Other companies we have researched, each read from what they are hiring for.

See every playbook and website review

30/60/90 roadmap

What to focus on in each month, and the ideas that carry it.

Days 1 to 307 ideas
Library refresh, crawl fix, one set of numbers, the Apphud comparison, a full bill calculator and tagged case studies; start the library data check.
Days 31 to 6011 ideas
Growth PM programs (threshold reviews, adoption scores, add-on triggers), faster dashboards, published prediction accuracy, personal benchmarks, benchmark pages, the RevenueCat switch program and partners; teardown videos and office hours.
Days 61 to 903 ideas
Commit to the big bets: prediction-based advances, agent distribution and a monthly paywall index.

Adapty growth playbook

Diagnosis

Refresh the Paywall Library and turn every page into a paywall teardown, the work the new Growth PM is hired to do

Let search engines crawl the 25 Paywall Library category pages that robots.txt blocks

Pick one set of headline numbers and use it everywhere

This week 6

How to run it: Refresh the Paywall Library and turn every page into a paywall teardown, the work the new Growth PM is hired to do

Steps

Why it works

Why it works

Ready to use

Risks and how to handle them

Risks and how to handle them

Evidence

Evidence

How to run it: Let search engines crawl the 25 Paywall Library category pages that robots.txt blocks

Steps

Why it works

Why it works

Risks and how to handle them

Risks and how to handle them

Evidence

Evidence

How to run it: Pick one set of headline numbers and use it everywhere

Steps

Why it works

Why it works

Risks and how to handle them

Risks and how to handle them

Evidence

Evidence

How to run it: Add an Adapty vs Apphud comparison now that Apphud sells attribution

Steps

Why it works

Why it works

Risks and how to handle them

Risks and how to handle them

Evidence

Evidence

How to run it: A full bill calculator on the pricing page, not only Refund Saver

Steps

Why it works

Why it works

Risks and how to handle them

Risks and how to handle them

Evidence

Evidence

How to run it: Tag the 33 case studies by goal and app size so the Growth PM can send the right one

Steps

Why it works

Why it works

Risks and how to handle them

Risks and how to handle them

Evidence

Evidence

This quarter 9

How to run it: A growth review the month an app crosses $5K and starts paying

Steps

Why it works

Why it works

Risks and how to handle them

Risks and how to handle them

Evidence

Evidence

How to run it: An adoption score for each app in a Growth PM portfolio

Steps

Why it works

Why it works

Risks and how to handle them

Risks and how to handle them

Evidence

Evidence

How to run it: Trigger each add-on offer from the account's own data

Steps

Why it works

Why it works

Risks and how to handle them

Risks and how to handle them

Evidence

Evidence