Analytics Retention

Overview

The Retention tab helps you understand how customers continue engaging with your mobile app after their first visit or first purchase.

This dashboard focuses on repeat purchase behavior, customer value, user activity, and inactive users. It helps you evaluate whether customers are coming back, purchasing again, and staying engaged with your mobile app over time.

You can:

• Select a reporting period.

• Compare the selected period with a previous period.

• Analyze repeat purchase rate, customer lifetime value, user sessions, inactive users, and order frequency.

Purpose

Track the percentage of customers who make more than one purchase through your mobile app.

This metric helps you understand how effectively your app encourages customers to return and buy again.

How to read

• The chart shows the repeat purchase rate over the selected time period.

• The current value shows the repeat purchase rate for the selected reporting period.

• A higher repeat purchase rate means more customers are coming back to place additional orders.

• A low repeat purchase rate may indicate that customers are purchasing once but not returning to buy again.

Use case

• Measure customer loyalty.

• Evaluate repeat purchase behavior.

• Understand whether your mobile app is helping turn first-time buyers into returning customers.

• Track the impact of retention campaigns, loyalty programs, push notifications, or app-only promotions.

Recommended actions

• Use push notifications to bring previous customers back to the app.

• Promote repeat-purchase products through homepage sections or featured collections.

• Offer app-only discounts for returning customers.

• Review product quality, delivery experience, and post-purchase communication if repeat purchase rate is low.

• Create campaigns for customers who purchased once but have not returned.

Purpose

Measure the total value customers generate through your mobile app over time.

CLV helps you understand how valuable your app customers are and whether your retention strategy is increasing long-term revenue.

How to read

The card displays the current Customer Lifetime Value for the selected reporting period.

The chart shows how customer value changes over time.

A higher CLV means customers are spending more with your store through the mobile app.

• If CLV increases over time, it may indicate stronger customer loyalty, better product engagement, or more effective retention campaigns.

• If CLV decreases, customers may be purchasing less frequently or spending less per order.

Use case

• Evaluate long-term revenue from app customers.

• Understand the quality of retained customers.

• Compare customer value before and after campaigns.

• Measure the impact of loyalty programs, app-only offers, bundles, subscriptions, and personalized promotions.

Recommended actions

• Increase CLV by encouraging repeat purchases through push notifications and targeted campaigns.

• Promote bundles, upsell offers, and app-only deals to increase order value.

• Use personalized product recommendations to encourage customers to discover more products.

• Monitor CLV together with Repeat Purchase Rate and Order Frequency to understand whether customers are returning and spending more.

Purpose

Track how often each user opens or uses your mobile app during the selected time period.

This metric helps you understand app engagement and whether users are returning to browse, search, or shop.

How to read

• The chart shows the average number of sessions per user over time.

• The current value shows the average sessions per user during the selected reporting period.

• You can compare sessions across platforms such as iOS and Android.

• A higher value means users are opening the app more frequently.

• A lower value may indicate that users are not returning often after installing or visiting the app.

Use case

• Measure app engagement.

• Compare engagement between iOS and Android users.

• Understand whether campaigns, push notifications, or new content increase app visits.

• Identify periods when users are more or less active.

Recommended actions

• Send push notifications to bring users back to the app.

• Refresh homepage content regularly with new arrivals, campaigns, or featured collections.

• Use app-only promotions to encourage users to open the app more often.

• Compare iOS and Android performance to identify platform-specific engagement issues.

• Review app performance and loading experience if sessions per user drops suddenly.

Purpose

Track the percentage or number of users who are no longer actively using your mobile app.

This metric helps you identify whether users are becoming inactive after installing or using the app.

How to read

• The chart shows inactive users over the selected time period.

• An increasing trend means more users are becoming inactive.

• A decreasing trend means more users are staying engaged or returning to the app.

• If inactive users increase sharply, it may indicate that users are not finding enough value to return, or that engagement campaigns are not reaching them effectively.

Use case

• Monitor user retention health.

• Identify when users start dropping off.

• Measure the effectiveness of re-engagement campaigns.

• Understand whether app content, promotions, or push notifications are keeping users active.

Recommended actions

• Create re-engagement push notification campaigns for inactive users.

• Offer app-only discounts or limited-time promotions to bring users back.

• Refresh app content with new products, banners, collections, or seasonal campaigns.

• Review inactive user trends after major app updates or marketing campaigns.

• Check whether users have enabled push notifications, since users without notifications may be harder to re-engage.

Purpose

Measure how often customers place orders through your mobile app over time.

Order Frequency helps you understand purchase behavior and how regularly customers are buying from your app.

How to read

• The chart shows average purchase frequency by device type over time.

• You can compare order frequency between iOS and Android users.

• A higher order frequency means customers are purchasing more often.

• A lower order frequency may indicate that customers are browsing but not returning to buy regularly.

Use case

• Understand how often app customers place orders.

• Compare purchase behavior across iOS and Android.

• Measure whether promotions or push campaigns increase purchase frequency.

• Evaluate whether your app is becoming a regular shopping channel for customers.

Recommended actions

• Use push notifications to remind customers about new arrivals, restocks, or limited-time campaigns.

• Create repeat purchase campaigns for products that customers buy regularly.

• Promote subscription products or replenishment-based products if your store supports them.

• Compare Order Frequency with AOV and CLV to understand whether customers are buying more often, spending more, or both.

• Review product assortment and campaign timing if order frequency stays low.

Select a reporting period

Use the timeline selector to choose the date range you want to analyze.

You can review recent performance, campaign periods, or longer-term retention trends.

Compare with a previous period

Use the comparison period to understand whether retention performance is improving or declining.

For example, you can compare the current 14 days with the previous 14 days to see whether repeat purchase behavior or user engagement has changed.

Review metrics together

Do not review each retention metric separately.

For example, if Sessions Per User is high but Order Frequency is low, users may be browsing the app but not purchasing.

If Repeat Purchase Rate is low and Inactive Users is increasing, you may need stronger re-engagement campaigns.

If CLV is increasing while Order Frequency is stable, customers may be spending more per order.

Use push notifications to bring users back to the app.

Promote app-only campaigns to encourage repeat purchases.

Refresh homepage content regularly to give returning users something new to explore.

Highlight best-selling products, new arrivals, and personalized recommendations.

Create win-back campaigns for inactive users.

Use bundles, upsells, subscriptions, or loyalty offers to increase long-term customer value.

Monitor retention metrics after each campaign to understand what improves customer return behavior.

Retention metrics depend on user activity, order tracking, and app usage data.

Some metrics may take time to update after customers browse, purchase, or return to the app.

If your app has low traffic, retention charts may show limited movement or unusual spikes.

Compare retention metrics across longer periods for a more accurate view of customer behavior.

Retention performance should be reviewed together with acquisition and sales performance to understand the full app funnel.