Campaign pROAS Output
Introduction
AlgoLift's Probabilistic Attribution solution for iOS14 provides app developers the tools to measure the performance of their advertising campaigns where ad networks don't have access to the IDFA. Utilizing anonymous user data, the Algolift user-level predicted LTV's, and the ConversionValue data from Apple's SKAdnetwork, our attribution model reports ROAS performance at the campaign level on a daily basis.
Raw Data
A raw output of the Probabilistic Attribution solution will be available daily for your processes to ingest and use in any other systems. The data includes a row for each campaign ID and install date and these projections show the projected revenue for advertising campaigns at day 30, 60, 90, 180 and 365, along with cost data that can be used to calculate pROAS.
We will create the S3 bucket to hold this data and provision access for your systems (please make sure you've provided your AWS IAM profile to us to ensure access). It is partitioned by projection date (same as output date) and may be split into multiple files based on size. We encode output as compressed CSV for maximum compatibility with downstream systems.
The key structure of our output looks like the following:
s3://algolift-<client>/<app>/daily_output/campaign_proas/2001-01-01/campaign_proas_output_0000.csv.gz
Campaign pROAS Output Schema
Field | Data Type | Example | Description | Column Type |
---|---|---|---|---|
report_date | date | 2020-01-06 | Date of activity (date that the ads were served) | Dimension |
source | varchar(255) | apple search ads | Source / Channel / Ad Network Name | Dimension |
campaign_name | varchar(255) | FB_LAL10p | Campaign name | Dimension |
campaign_id | varchar(255) | 9b06c7532a | Campaign ID | Dimension |
spend | double | 1343.32 | Total spend reported by the network for this date range | Metric |
cpi | double | 3.23 | Estimated cost per install | Metric |
clicks | integer | 6240 | Total reported clicks | Metric |
impressions | integer | 617760 | Total reported impressions | Metric |
installs | integer | 80 | Estimated app installs | Metric |
actual_revenue | double | 300.34 | Estimated actual revenue | Metric |
projected_revenue_30 | double | 2334.39 | Projected gross revenue in dollars for horizon of 30 days made on projection_date. This value will represent the actual revenue once the cohort is 30+ days past acquisition_date_end | Metric |
projected_revenue_60 | double | 3940.01 | Projected gross revenue in dollars for horizon of 60 days made on projection_date. This value will represent the actual revenue once the cohort is 60+ days past acquisition_date_end | Metric |
projected_revenue_90 | double | 6380.67 | Projected gross revenue in dollars for horizon of 90 days made on projection_date. This value will represent the actual revenue once the cohort is 90+ days past acquisition_date_end | Metric |
projected_revenue_180 | double | 18973.13 | Projected gross revenue in dollars for horizon of 180 days made on projection_date. This value will represent the actual revenue once the cohort is 180+ days past acquisition_date_end | Metric |
projected_revenue_365 | double | 42544.61 | Projected gross revenue in dollars for horizon of 365 days made on projection_date. This value will represent the actual revenue once the cohort is 365+ days past acquisition_date_end | Metric |
projected_organic_lift_30 | double | 2334.39 | Projected organic incremental revenue for horizon of 30 days that was driven by this marketing activity | Metric |
projected_organic_lift_60 | double | 3940.01 | Projected organic incremental revenue for horizon of 60 days that was driven by this marketing activity | Metric |
projected_organic_lift_90 | double | 6380.67 | Projected organic incremental revenue for horizon of 90 days that was driven by this marketing activity | Metric |
projected_organic_lift_180 | double | 18973.13 | Projected organic incremental revenue for horizon of 180 days that was driven by this marketing activity | Metric |
projected_organic_lift_365 | double | 42544.61 | Projected organic incremental revenue for horizon of 365 days that was driven by this marketing activity | Metric |
projection_date | date | 2020-02-01 | The date when the projection was made | Dimension |