Attribution statistics: overview
Natalya Yefimenko avatar
Written by Natalya Yefimenko
Updated in the last 15 minutes

Before you begin

Overview

The Overview report displays general information on the results of your campaigns. You can see the activity of users for the selected period.

Filters

In the Overview slice, you can filter data by the period (the default one is the last seven days), timezone, application, partner, conversion type, and country.

⚠️ The maximum period for the statistics display is 180 days.

You can search for the items in the Search box. When you select Conversion ID or Click ID in the drop-down list, you see the column with the indicated ID in the table.

Also, you can reset the filters to the default settings.

Statistics _ Demo Network - Google Chrome 2022-12-07 at 1.46.09 PM

Dashboard

On the dashboard, the data is by default displayed for the last seven days compared with the previous seven days.

The dashboard has the following blocks:


Statistics _ Cashbrowser Admitad GMBH - Google Chrome 2022-12-07 at 1.57.11 PM
  1. Impressions: total number of impressions for the selected period, and the change in % compared with the previous period.
    Clicks: total number of clicks for the selected period, and the change in % compared with the previous period.
    Touch points: total number of clicks and impressions for the selected period.


  2. Non-Organic: total number of non-organic installs for the selected period, and the change in % compared with the previous period.
    Organic: total number of organic installs for the selected period, and the change in % compared with the previous period.
    Total installs: total number of installs for the selected period.


  3. Click to installs: number of clicks against the number of eventual installs. Click-to-install rate = installs / clicks *100%.
    Conversion rate: number of all touch points against the number of eventual installs. CR = installs/touch points (clicks and impressions) * 100%.


  4. Non-Organic: revenue from non-organic installs for the selected period, and the change in % compared with the previous period.
    Organic: revenue from organic installs for the selected period, and the change in % compared with the previous period.
    Total revenue: total revenue for installs for the selected period.

Table

In the Overview slice, the table contains the following columns:

where:

  • Partner ID: ID of a partner in the Attribution system.

  • Partner: partner name.

  • Impressions: the number of impressions for the selected period.

  • Clicks: the number of clicks for the selected period.

  • Installs: the number of installs for the selected period.

  • CTR: Clickthrough Rate (clicks/impressions * 100%).

  • CR: Conversion Rate (installs/touch points (clicks and impressions) * 100%).

  • Sessions: the number of users' sessions for the selected period.

  • Loyal users/Installs:

    • Value 1: the number of users with more than three sessions.

    • Value 2: the rate of loyal users/installs *100%.

  • Cost: total user acquisition costs (installs * CPI).

  • Revenue: total revenue from the users.

  • ROI: Return on Investment (revenue - cost / cost *100%).

  • ARPU: Average Revenue Per User (revenue / installs) show how much revenue a user brings for a selected period.

  • Average eCPI: effective Cost per Install is a CPI rate that ensures an effective promotion for an application. eCPI = CPI/K, where K is a viral coefficient used to link organic installs to user acquisition. K = 1 + (organic installs / paid installs).

    If eCPI is lower than your CPI, it means you need to lower the install cost up to the effective value.

  • Uninstalls/Rate:

    • Value 1: the number of users who deleted the application for the selected period.

    • Value 2: is the churn rate (uninstalls / installs * 100%).

You can manage your table with the following options:

  • The Edit columns button to manage the columns you want to see.

  • The Get link button to pass the statistics report outside the attribution system.

  • The Update button to update the data in the slice.


Please contact the Affise Customer Support team regarding all raised questions via the e-mail: [email protected].

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