SKAN recommendations

At a glance: Use SKAN recommendations to optimize your conversion value settings and receive more accurate post-install activity measurements.

Overview

SKAdNetwork (SKAN), part of Apple iOS, lets advertisers measure campaign performance while simultaneously preserving user privacy. With SKAdNetwork, post-install activity is measured using only numbers—conversions values— between 0-63.

The AppsFlyer Conversion Studio provides you with maximum flexibility to make every conversion value (CV) count. You determine precisely what measurement data should be encoded within the CV—including what activities should be measured during the post-install period, and for how long.

However, given the limited measurement capabilities of SKAN, it can be difficult to decide what to measure (for example, revenue, in-app events, or retention) and how to best utilize the CVs between 0-63. Decisions may be based on estimates, trial and error, or machine learning tools that use internal app data. And the measurements are not always as accurate as they could be.

AppsFlyer SKAN recommendations:

  • Gives suggestions to improve your current CV settings and enhance your CV efficiency and measurement accuracy.
  • Solves the difficulties you may have in making CV settings decisions.
  • Are based on your specific vertical, geo, SKAN and non-SKAN app data, and user behavior.

Recommendations

Revenue

Understanding revenue recommendations

Having the right revenue configuration schema is crucial to getting accurate revenue reporting.

The conversion value (CV) configuration you have to report revenue isn't necessarily 100% accurate, and SKAN-reported revenue may differ from actual revenue. For example, the actual (AF reported) ARPPU may be $10, but your current CV configuration reports SKAN ARPPU of $7, meaning SKAN underreports revenue for each paying user by $3.

AppsFlyer checks your non-SKAN revenue data (which is 100% accurate) on a daily basis, to make customized recommendations you can implement to improve the accuracy of your SKAN revenue reporting. The recommendations are also based on your saved activity window configuration in Conversion Studio, as well as your specific vertical, geo, and app user behavior.

The recommendations:

  • Give you a clear picture of campaign performance with accurate revenue reporting.
  • Save conversion values by using fewer ranges to accurately measure revenue.
  • Take into account both in-app purchases and ad revenue.

Revenue recommendations layout

revenue_recommendions_layout.png

A

Activity window as saved in your Conversion Studio configuration, during which SKAN revenue is measured.

B

Actual app average revenue per paying user (ARPPU) based on precise data from organic and non-organic users attributed via AppsFlyer (AF) methods.

C

Current configuration ARPPU (SKAN ARPPU), meaning the ARPPU measured based on your current configuration in Conversion Studio for activity window and CV configuration for revenue reporting.

D

Estimated ARPPU: The expected ARPPU for your selected number of ranges. See F and G.

E

Approximate error: The difference between B and C. This can be a positive or negative error, depending on whether your SKAN ARPPU is overreported or underreported.

Example: If actual ARPPU is $10 and SKAN ARPPU is $7, the approximate error is an underreporting of 30% (-$3 dollars per user).

F

Recommendations for your SKAN revenue configuration. Select the number of ranges you want to include in your configuration.

G

Your current revenue configuration as set in Conversion Studio.

Using revenue recommendations

Prerequisite: Revenue recommendations require at least 14 days of revenue data.

To use revenue recommendations:

  1. In AppsFlyer, depending on whether you use custom or fixed mode, go to either:
    • Configuration > SKAN Conversion Studio > Custom > Overall revenue.
    • Configuration > SKAN Conversion StudioRevenue.
  2. If you already have a revenue range configured, skip this step. If you don't have a revenue range configured, configure it now.
    When the revenue range is configured, information about your configuration accuracy and approximate error displays.
  3. Click Check recommendations.
    Information about your current configuration displays, along with the revenue range recommendations and the estimated accuracy (approximate error) they will provide if implemented. Recommendations are provided for both keeping and changing the number of ranges.
  4. Select a range recommendation.
  5. Click Apply recommendation.
    • If you have your revenue configuration set in custom mode, the recommendation is applied.
    • If you have your revenue configuration in fixed mode (revenue), you need record the range recommendation, go to SKAN Conversion Studio > Custom > Overall revenue, and configure the recommended range.
  6. Click Save.
    • If you then change anything in your revenue configuration, you can recheck your configuration and view new recommendations.
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