The Channel Analytics Tool by AppFollow consolidates data about Downloads, Page Views, and Impressions from the App Store and Google Play in one dashboard.
The tool provides calculated conversion rates and historic data, so it is possible to track download fluctuations and improve your ASO strategy.
Analyze the Data
You can analyze the following app data:
- Time period: how your app performed over time.
- Location: in a particular country or worldwide.
- App metrics: Impressions, Page Views, and Downloads.
- Traffic channels: Search, Browse, App Referrer, Web Referrer.
Time Period and Location
The graph shows the app's performance during a chosen time period. By default, you’ll see the data for the last 30 days. Using the country filter, you can investigate your app's performance worldwide or focus on particular countries to measure the optimization results.
Tracking app performance over time and breaking down the data by country helps you understand what ASO decisions had the most impact on your conversion rate.
App Metrics and Traffic Channels
You can choose one metric to track at a time: Downloads, Impressions, or Page Views. By default, you will see the metric’s performance for all 4 traffic channels, but you can choose to analyze only one of them.
Looking over app metrics is a must for tracking app conversion rates. If your app has way more impressions than downloads, it can mean that the app page doesn’t convince new users to download the app, and probably you should think of updating your ASO.
You can track the app performance for all traffic channels or choose one of them to pay a closer look.
Exploring each of the traffic channels separately helps you find what to improve in your ASO strategy.
The Apple Search Ads channel shows only Advanced campaigns. If you're running a Basic campaign, this data is not reflected in AppFollow. To see your Search Ads data in AppFollow, switch to an Advanced campaign.
Scroll down to the Summary and Breakdown sections to track how the app metrics and conversion rate changed daily during the chosen time period. You can also track Impressions, Downloads, and Page Views and evaluate the daily results. The average and daily conversion rates are also calculated here.
Export the Data
You can export the data in Excel or CSV formats. Alternatively use the AppFollow API to push this data to any service you like.
You can learn more about the ASO Reports in this article.
- For iOS apps, the source is the App Analytics section from App Store Connect.
- For Android apps, the source of data in Channels Analysis is the Store performance → Store analysis section in Google Play Console with the "App install state: New users" filter¹. In AppFollow, re-downloads are not counted.
¹Google calls this "User acquisition", this means that if a user downloads an app on his phone and on his tablet, using the same Google account, it will count as 1 user acquisition but 2 installs. That is why an app can have more installs than users. In the Console, it's possible to filter by "user state" and see if the user is a new user or a returning user. This is not possible in AppFollow. The information inside Channel Analytics shows new users only.
If you're seeing any data discrepancies between data from the console and AppFollow, first of all, make sure that the corresponding filters are applied correctly in both reports (country and time period).
Google Play Console Specifics
You may notice a discrepancy in data from the Google Play Console reports. The Google Acquisition Reports page provides reports on a daily, weekly, and monthly basis. The following situations in Google Play Console are quite common:
- The total amount of views and downloads for a selected time period may not be equal to the sum of metrics by each day of the period. For example, the app has 700 downloads per week, but if you sum downloads for every day of this week, the result can be 650.
- When browsing daily reports, you can see that some of the days have 0 downloads. This can happen quite often in non-popular regions and countries. That is why the exported reports might have no data for some dates in the daily reports. We recommend using weekly reports.