Platform

AI

AI Agents
Sense, decide, and act faster than ever before
AI Visibility
See how your brand shows up in AI search
AI Feedback
Distill what your customers say they want
Amplitude MCP
Insights from the comfort of your favorite AI tool

Insights

Product Analytics
Understand the full user journey
Marketing Analytics
Get the metrics you need with one line of code
Session Replay
Visualize sessions based on events in your product
Heatmaps
Visualize clicks, scrolls, and engagement

Action

Guides and Surveys
Guide your users and collect feedback
Feature Experimentation
Innovate with personalized product experiences
Web Experimentation
Drive conversion with A/B testing powered by data
Feature Management
Build fast, target easily, and learn as you ship
Activation
Unite data across teams

Data

Warehouse-native Amplitude
Unlock insights from your data warehouse
Data Governance
Complete data you can trust
Security & Privacy
Keep your data secure and compliant
Integrations
Connect Amplitude to hundreds of partners
Solutions
Solutions that drive business results
Deliver customer value and drive business outcomes
Amplitude Solutions →

Industry

Financial Services
Personalize the banking experience
B2B
Maximize product adoption
Media
Identify impactful content
Healthcare
Simplify the digital healthcare experience
Ecommerce
Optimize for transactions

Use Case

Acquisition
Get users hooked from day one
Retention
Understand your customers like no one else
Monetization
Turn behavior into business

Team

Product
Fuel faster growth
Data
Make trusted data accessible
Engineering
Ship faster, learn more
Marketing
Build customers for life
Executive
Power decisions, shape the future

Size

Startups
Free analytics tools for startups
Enterprise
Advanced analytics for scaling businesses
Resources

Learn

Blog
Thought leadership from industry experts
Resource Library
Expertise to guide your growth
Compare
See how we stack up against the competition
Glossary
Learn about analytics, product, and technical terms
Explore Hub
Detailed guides on product and web analytics

Connect

Community
Connect with peers in product analytics
Events
Register for live or virtual events
Customers
Discover why customers love Amplitude
Partners
Accelerate business value through our ecosystem

Support & Services

Customer Help Center
All support resources in one place: policies, customer portal, and request forms
Developer Hub
Integrate and instrument Amplitude
Academy & Training
Become an Amplitude pro
Professional Services
Drive business success with expert guidance and support
Product Updates
See what's new from Amplitude

Tools

Benchmarks
Understand how your product compares
Templates
Kickstart your analysis with custom dashboard templates
Tracking Guides
Learn how to track events and metrics with Amplitude
Maturity Model
Learn more about our digital experience maturity model
Pricing
LoginContact salesGet started

AI

AI AgentsAI VisibilityAI FeedbackAmplitude MCP

Insights

Product AnalyticsMarketing AnalyticsSession ReplayHeatmaps

Action

Guides and SurveysFeature ExperimentationWeb ExperimentationFeature ManagementActivation

Data

Warehouse-native AmplitudeData GovernanceSecurity & PrivacyIntegrations
Amplitude Solutions →

Industry

Financial ServicesB2BMediaHealthcareEcommerce

Use Case

AcquisitionRetentionMonetization

Team

ProductDataEngineeringMarketingExecutive

Size

StartupsEnterprise

Learn

BlogResource LibraryCompareGlossaryExplore Hub

Connect

CommunityEventsCustomersPartners

Support & Services

Customer Help CenterDeveloper HubAcademy & TrainingProfessional ServicesProduct Updates

Tools

BenchmarksTemplatesTracking GuidesMaturity Model
LoginSign Up

What’s the ONE App You Should Measure Your Retention Against?

A lot of our customers ask us what “good” retention is for a mobile app.
Insights

Aug 2, 2014

4 min read

Alicia Shiu

Alicia Shiu

Former Growth Product Manager, Amplitude

What’s the ONE App You Should Measure Your Retention Against?

A lot of our customers ask us what “good” retention is for a mobile app. As evidenced by the number of Quora threads on this subject, it’s a pretty common enquiry. If you’re looking for the answer, it’s 42.

In all seriousness: if you’re looking for a magic number, we don’t have one for you (sorry…incidentally, 42% would probably be a pretty decent 30 day retention). The truth is, there aren’t any super well-established benchmarks. We’re working on digging up some more data points for you, and can hopefully show you our findings in a future post. In the meantime, here’s what you need to know about measuring retention the right way. And some food for thought: maybe you shouldn’t care too much how everyone else is doing anyway. Because in the end, the most important app’s retention that you should be measuring up against is your own. Let’s start with the basics: what exactly is retention, why should you care, and how do you measure it?

Gotta keep them coming back

Retention is the most important metric for understanding how your app is doing. Back in the day, app people and investors thought daily active users and monthly active users (DAU/MAU) were a big deal — and then they realized they were wrong. If you have lots of people using your app, but they’re only coming back once or twice and then leaving forever, then pretty soon you’re going to run out of people and your app will tank. App developers realized it’s important to keep people coming back, and that it’s cheaper and easier to keep existing users than to recruit new ones. The most useful way to look at retention is by what we call “day N” retention. Day N retention is expressed as a percentage of users who have come back and used the app N days after signing up/first using the app (on Day 0). The time period you want to look at is very app-dependent. Typical times that mobile games look at are retention on day 1, day 7, and day 30. For other types of apps, retention at day 90 or even day 365 are important, too. If you’re a productivity or social app, you’re interested in both the shorter term and longer term retentions. If, for example, you’re a travel-related app like Airbnb, you’d be more interested in 90 or 365 day retention — people aren’t traveling all the time, and probably won’t need you again in the first 30 days. Measuring mobile app retention by day N after signup allows you to group users by their start date. This provides more granularity and lets you compare cohorts that started on different versions of your app, or after a particularly aggressive marketing campaign, etc.

Hint: it’s not one-size-fits-all

So, what’s ‘typical’ retention, and what’s ‘good’? Quality data is scarce: all of the stats that we found did not use day N retention, but rather used rolling retention or other metrics that are far less informative, so keep that in mind whenever you see retention metrics. Bottom line: there is no magic retention number you need to hit, and then you will make boatloads of money. It’s also debatable how useful it is to constantly compare yourself to competitors or your vertical’s ‘average’ retention. At best, these benchmarks give you a rough idea of how you’re doing — but every app is different, even within verticals. You have to know what success means for your app. In the end, the best retention benchmark you can use is your app’s previous performance. You always want to be improving — it doesn’t make much of a difference if you’re below or above the industry average. Are you going to stop trying to make your app better once your retention is higher than that of all of your competitors? That’s what I thought. So pay close attention to your retention rates and constantly test new ways to continue pushing that bar up. One great way to start is to ****understand what your really engaged users are already doing**, and then optimize around encouraging that action**. Best of luck!

About the author
Alicia Shiu

Alicia Shiu

Former Growth Product Manager, Amplitude

More from Alicia

Alicia is a former Growth Product Manager at Amplitude, where she worked on projects and experiments spanning top of funnel, website optimization, and the new user experience. Prior to Amplitude, she worked on biomedical & neuroscience research (running very different experiments) at Stanford.

More from Alicia
Topics
Platform
  • Product Analytics
  • Feature Experimentation
  • Feature Management
  • Web Analytics
  • Web Experimentation
  • Session Replay
  • Activation
  • Guides and Surveys
  • AI Agents
  • AI Visibility
  • AI Feedback
  • Amplitude MCP
Compare us
  • Adobe
  • Google Analytics
  • Mixpanel
  • Heap
  • Optimizely
  • Fullstory
  • Pendo
Resources
  • Resource Library
  • Blog
  • Product Updates
  • Amp Champs
  • Amplitude Academy
  • Events
  • Glossary
Partners & Support
  • Contact Us
  • Customer Help Center
  • Community
  • Developer Docs
  • Find a Partner
  • Become an affiliate
Company
  • About Us
  • Careers
  • Press & News
  • Investor Relations
  • Diversity, Equity & Inclusion
Terms of ServicePrivacy NoticeAcceptable Use PolicyLegal
EnglishJapanese (日本語)Korean (한국어)Español (Spain)Português (Brasil)Português (Portugal)FrançaisDeutsch
© 2025 Amplitude, Inc. All rights reserved. Amplitude is a registered trademark of Amplitude, Inc.

Recommended Reading

article card image
Read 
Customers
The Future is Data-Driven: Introducing the Winners of the Ampy Awards 2025

Dec 2, 2025

6 min read

article card image
Read 
Insights
Marketing Analytics in 2026: Predictions from the People Who Measure Everything

Nov 25, 2025

9 min read

article card image
Read 
Customers
Amplitude Pathfinder: How Dan Grainger Bet on Amplitude & Won

Nov 25, 2025

16 min read

article card image
Read 
Product
Getting Started: Driving Product Engagement by Obsessing Over Activation

Nov 24, 2025

4 min read

Explore Related Content

Integration
Using Behavioral Analytics for Growth with the Amplitude App on HubSpot

Jun 17, 2024

10 min read

Personalization
Identity Resolution: The Secret to a 360-Degree Customer View

Feb 16, 2024

10 min read

Product
Inside Warehouse-native Amplitude: A Technical Deep Dive

Jun 27, 2023

15 min read

Guide
5 Proven Strategies to Boost Customer Engagement

Jul 12, 2023

Video
Designing High-Impact Experiments

May 13, 2024

Startup
9 Direct-to-consumer Marketing Tactics to Accelerate Ecommerce Growth

Feb 20, 2024

10 min read

Growth
Leveraging Analytics to Achieve Product-Market Fit

Jul 20, 2023

10 min read

Product
iFood Serves Up 54% More Checkouts with Error Message Makeover

Oct 7, 2024

9 min read

Blog
InsightsProductCompanyCustomers
Topics

101

AI

APJ

Acquisition

Adobe Analytics

Amplify

Amplitude Academy

Amplitude Activation

Amplitude Analytics

Amplitude Audiences

Amplitude Community

Amplitude Feature Experimentation

Amplitude Guides and Surveys

Amplitude Heatmaps

Amplitude Made Easy

Amplitude Session Replay

Amplitude Web Experimentation

Amplitude on Amplitude

Analytics

B2B SaaS

Behavioral Analytics

Benchmarks

Churn Analysis

Cohort Analysis

Collaboration

Consolidation

Conversion

Customer Experience

Customer Lifetime Value

DEI

Data

Data Governance

Data Management

Data Tables

Digital Experience Maturity

Digital Native

Digital Transformer

EMEA

Ecommerce

Employee Resource Group

Engagement

Event Tracking

Experimentation

Feature Adoption

Financial Services

Funnel Analysis

Getting Started

Google Analytics

Growth

Healthcare

How I Amplitude

Implementation

Integration

LATAM

Life at Amplitude

MCP

Machine Learning

Marketing Analytics

Media and Entertainment

Metrics

Modern Data Series

Monetization

Next Gen Builders

North Star Metric

Partnerships

Personalization

Pioneer Awards

Privacy

Product 50

Product Analytics

Product Design

Product Management

Product Releases

Product Strategy

Product-Led Growth

Recap

Retention

Startup

Tech Stack

The Ampys

Warehouse-native Amplitude