Adapty offers controls to refine the data in each analytics tab: time range, period comparison, filtering, grouping, and chart visualization. Availability differs by tab.

Available controls by analytics tab:

Control	Charts	Cohorts	Funnels	Retention	Conversion	LTV
Date range	✅	✅	✅	✅	✅	✅
Period comparison	✅	❌	❌	❌	❌	❌
Filter	✅	✅	✅	✅	✅	✅
Group	✅	❌	✅	✅	✅	✅
Chart visualization	✅	❌	❌	❌	❌	❌
Table view	✅	✅	✅	✅	✅	✅
CSV export	✅	✅	✅	✅	✅	✅
Commission and taxes	✅	✅	❌	❌	❌	✅

Set the date range

Use the Date range calendar above each chart to choose the time period. Adapty analytics use the UTC timezone; the Overview page has its own configurable timezone.

Preset ranges

Use the Custom option to specify arbitrary start and end dates. The presets are:

Preset	Starts	Ends
Last 7 days	6 days ago	Today
Last 28 days	27 days ago	Today
Last month	Same date in the previous month	Today
Last 3 months	3 months ago	Today
Last 6 months	6 months ago	Today
Last year	1 year ago	Today
Previous month	First day of the previous month	Last day of the previous month
This month	1st of the current month	Today
This quarter	1st of the current quarter	Today
This year	January 1 of the current year	Today

Time scale

Each data point on the chart represents one block of time — choose between day, week, month, quarter, and year from the dropdown. Day and week show short-term ups and downs; month, quarter, and year show longer trends.

In cohort and LTV analyses, the same setting is called cohort length — see those articles for details.

Compare two time periods

Click the comparison option next to the calendar to overlay the current period with an earlier one. Adapty’s first comparison is the period right before, with the same length. To change the comparison range, click the option again and pick a custom range.

The comparison appears:

• On the chart — overlaid lines, areas, or columns, with zero or one groupings selected.
• As a numerical value — the difference between the two periods, shown in green (higher) or red (lower).
• In a tooltip — hover over any data point to see the numeric difference for that point.

Filter and group data

Filter to restrict the chart to data matching one or more attributes (for example, a single country or product). Group to break the chart total into separate series — one per attribute value. For example, group Revenue by country to get a separate revenue line for each country instead of one combined total.

Available filter and group attributes:

Attribute	Filter	Group	Description
Attribution	✅	✅	Reported by, Status, Channel, Campaign, Ad Group, Ad Set, and Creative (Keyword). Requires attribution integration.
Audience	✅	✅	The audience the user belongs to.
Renewal status	❌	✅	Whether the subscription will renew in the next period.
Period	✅	✅	Subscription lifecycle stage: Trial, Activation (first payment), or Renewal 1–Renewal 5, Renewals 6+ (subsequent renewals).
Country	✅	✅	The user’s store country. If unavailable, Adapty infers it from the currency code or device IP.
Offer Type	✅	✅	The offer applied to the transaction: Introductory — an introductory offer on the initial subscription period. Use Offer Discount Type to distinguish between paid intros and free trials. Promotional — App Store Promotional Offers and equivalents. Offer Code — promo codes the customer enters in the store. No offer — no offer applied.
Offer ID	✅	✅	A specific offer ID.
Offer Discount Type	✅	✅	The pricing model of an introductory or promotional offer: Free Trial, Pay As You Go, or Pay Up Front. Combine with Offer Type to distinguish, for example, a free-trial intro from a paid intro.
Paywall	✅	✅	The paywall used for the purchase.
A/B tests	✅	❌	The A/B test active during the purchase.
Placement	✅	✅	The placement where the purchase occurred.
Store	✅	✅	The store that processed the transaction: App Store, Google Play, Stripe, etc.
Product	✅	✅	The product — subscriptions and one-time purchases.
Duration	✅	✅	The product’s duration.
Segment	✅	✅	A user segment. Group by segment to compare segment performance against All users. Funnels don’t support grouping by segment. If you change a custom attribute after a segment uses it, Adapty may exclude the user from the segment in analytics. Data continues to show the previous value.
Refund Reason	✅	✅	The reason a transaction was refunded (for example, Refund or Upgraded). Available on refund and billing-issue-resolution charts.
Expiration reason	❌	✅	The reason a subscription or trial expired: Cancelled by customer, Billing issue, Customer hasn’t agreed to price increase, Unknown, or Refund. Available on Expired (Churned) subscriptions and Expired (Churned) trials.
Cohort (LTV only)	❌	✅	On the LTV chart, group by cohort length: Day, Week, Month, or Year. Replaces Group by Attribution on this chart.

Not every analytics view supports every filter or group attribute above. ARPU and Installs in the Charts tab are limited to Attribution, Country, Segment, Store, and (filter only) A/B tests. The LTV, Cohorts, Funnels, Retention, and Conversion tabs each support a different subset. For exact support, see the article for that chart or tab.

How country is determined

Each transaction is tagged with a country at the moment it’s created. The source for that country, in order of preference, is:

1. The user’s device IP country at the time of the transaction.
2. The user’s store country — their App Store or Google Play account country.
3. The user’s most recently known IP country.

The store country isn’t available for web payments (Stripe, Paddle), manually granted access, or transactions where the store didn’t provide it. In those cases, Adapty falls back to the IP-based country.

Because country is captured per transaction, a user who switches their App Store country after install will have different country values on transactions before and after the switch. Past transactions retain their original country.

GB and United Kingdom. Country data is stored as ISO 3166-1 alpha-2 codes (so “GB”, not “United Kingdom”). The dashboard display layer maps codes to full names via a lookup table that includes a legacy 'UK' → 'United Kingdom' alias — which is why both can appear as options when creating a segment.

Change the chart visualization

Choose how to display the chart from the visualization dropdown:

• Stacked column — each column shows the total, broken into colored segments per group.
• Stacked area — same as stacked column, but with filled-in areas connecting the data points.
• Line — one line per group, no fill.
• 100% stacked column — each column reaches the full chart height; segments show the relative share (percentage) of each group instead of actual values. Useful for proportions over time.
• 100% stacked area — same as 100% stacked column, but with filled areas instead of columns.

View data as a table

Below each chart is a table of the same data, with dates as columns. The Total row and column show aggregates not visible on the chart itself.

Export data to CSV

Click the Export button to download the chart’s underlying data as a CSV file.

Display gross or net revenue

For revenue-related charts (Revenue, MRR, ARR, ARPU, ARPPU), Adapty offers a dropdown with three display modes:

• Gross revenue — total revenue before any deductions.
• Proceeds after store commission — revenue minus the store’s commission, with taxes still included.
• Proceeds after store commission and taxes — revenue minus both commission and taxes.

For details on commission and tax calculations, see Commissions and taxes in How Adapty Analytics works.