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Revenue Trend

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Written by OfficialTeam
Updated yesterday

FoxData's Revenue Trend can help you to analyze revenue across multiple apps and pinpoint causes of revenue fluctuations.

Powered by our proprietary data model, the system generates estimated revenue metrics for both your app and competitors.

Note that all displayed revenue data are model-based projections and may differ from actual figures.

Add App and Competitor

Use the app search tool at the top of the feature to select competing apps.

Each app card displays overall data, including the number of associated apps across different app stores (Google Play/App Store), recent revenue, and the change in revenue compared to yesterday.

Estimated Revenue Trend

We present daily revenue over the selected time period in the form of a trend chart. The trend chart can display daily, weekly, or monthly revenue. You can also customize the trend chart’s content by changing the conditions.

Comparison metrics include ranking, active users, and download. For example, when active users are selected, a corresponding active user trend chart will appear alongside the original revenue trend chart. This comparison allows you to identify the relationship between changes revenue trend and the number of active users across different apps.

FoxData’s “related apps” refer to the different versions of an app released in various app stores and markets in different countries. If an app has multiple associated versions under the selected filters, their total revenue will be aggregated in the trend chart.

Event Impact

Moreover, this feature supports analysis of how key events impact revenue metrics, including In-App Events, CPPs, Meta Ads, Ranked Keyword Lost Rank, and App Lost Rank.

By selecting any event, an event Gantt chart will be displayed below the revenue trend chart for the corresponding time range. The date selection for both charts will be linked, allowing you to visually identify which events might have caused changes in revenue metrics.

Estimated Revenue List

The detailed revenue list supports dimensions such as average daily revenue, highest daily revenue, median daily revenue, and total revenue over the selected time period.

Additionally, the details list supports sentiment analysis of user review and an AI-powered reivew summary feature that intelligently consolidates the core opinions users have about your app.

For you have any other questions, please check out the link: Product Feedback

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