AppsFlyer

AppsFlyer is a mobile marketing analytics and attribution platform that helps businesses track, measure, and optimize their app marketing efforts across various channels.

ingestr supports AppsFlyer as a source.

WARNING

AppsFlyer uses different names for input dimensions vs their name in the output schema. For instance, in order to obtain campaign information, you need to use the c dimension; however, in the output schema, the resulting column will be called campaign.

URI Format

The URI format for AppsFlyer is as follows:

plaintext

appsflyer://?api_key=<api-key>

An API token is required to retrieve reports from the AppsFlyer API, please follow the guide to obtain an API key

Let's say your API key is ey123, here's a sample command that will copy the data from AppsFlyer into a DuckDB database:

bash

ingestr ingest \
    --source-uri 'appsflyer://?api_key=ey123' \
    --source-table 'campaigns' \
    --dest-uri duckdb:///appsflyer.duckdb \
    --dest-table 'appsflyer.output'

The result of this command will be a table in the appsflyer.duckdb database.

Supported Tables

ingestr integrates with the Master Report API of AppsFlyer, which allows you to retrieve data for the following tables:

Tables

Name	PK/Merge Key	Inc Key	Inc Strategy	Details
campaigns	install_time	install_time	merge	Retrieves data for campaigns, detailing the app's costs, loyal users, total installs, and revenue over multiple days.`columns:` app_id, campaign, geo, install_time, average_ecpi, clicks, cohort_day_1_revenue_per_user, cohort_day_1_total_revenue_per_user, cohort_day_14_revenue_per_user, cohort_day_14_total_revenue_per_user, cohort_day_21_revenue_per_user, cohort_day_21_total_revenue_per_user, cohort_day_3_revenue_per_user, cohort_day_3_total_revenue_per_user, cohort_day_7_revenue_per_user, cohort_day_7_total_revenue_per_user, cost, impressions, installs, loyal_users, retention_day_7, revenue, roi, uninstalls
creatives	install_time	install_time	merge	Retrieves data for a creative asset, including revenue and cost. `columns:` geo, app_id, install_time, campaign, adset_id, adset, ad_id, impressions, clicks, installs, cost, revenue, average_ecpi, loyal_users, uninstalls, roi
`custom:<dimensions>:<metrics>`	Dynamic (dimensions + install_time)	install_time	merge	Retrieves data for custom tables, which can be specified by the user. Please refer to the `custom Tables` section below for more information.

Use these as --source-table parameter in the ingestr ingest command.

Custom Tables

You can also ingest custom tables by providing a list of dimensions and metrics.

The format for the custom table is:

plaintext

custom:<dimension1>,<dimension2>,<metric1>,<metric2>

Parameters:

dimensions: A comma-separated list of dimensions to retrieve.
metrics: A comma-separated list of metrics to retrieve.

For custom tables, ingestr will use the given dimensions as the primary key to deduplicate the data.

NOTE

ingestr will add install_time as the primary key to the table by default if it is not provided as one of the dimensions.

Examples

Copy campaigns data from Appsflyer into a DuckDB database:

ingestr ingest \
    --source-uri 'appsflyer://?api_key=ey123' \
    --source-table 'campaigns' \
    --dest-uri duckdb:///appsflyer.duckdb \
    --dest-table 'dest.output'

Copy creatives data from Appsflyer into a DuckDB database:

ingestr ingest \
    --source-uri 'appsflyer://?api_key=ey123' \
    --source-table 'creatives' \
    --dest-uri duckdb:///appsflyer.duckdb \
    --dest-table 'dest.output'

Copy custom data from Appsflyer into a DuckDB database:

ingestr ingest \
    --source-uri "appsflyer://?api_key=ey123" \
    --source-table "custom:app_id,geo,install_time,clicks,install" \
    --dest-uri duckdb:///appsflyer.db \
    --dest-table "mat.example"

AppsFlyer ​

URI Format ​

Supported Tables ​

Tables ​