Linking Adobe Analytics as a source
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Skip the manual setup — run this in your project and the wizard auto-detects your databases and APIs and connects them to PostHog.
This source is currently in alpha. The interface and available tables may change.
The Adobe Analytics connector syncs report suites, segments, calculated metrics, and more into the PostHog data warehouse, so you can analyze them alongside your product data.
Prerequisites
Credentials that can read the data you want to sync. PostHog only reads data, so read access is enough.
Adding a data source
- In PostHog, go to the Sources tab of the data pipeline section.
- Click + New source and click Link next to this source.
- Enter your credentials (see Configuration below) and click Next.
- Select the tables you want to sync, choose a sync method and frequency, then click Import.
Once the syncs are complete, you can start querying this data in PostHog.
Pull Adobe Analytics report data and metadata.
Create an OAuth Server-to-Server credential in the Adobe Developer Console, add the Adobe Analytics API to the project, and assign a product profile that can read the report suite you want. Then enter the credential's client ID and secret.
The report table runs one query per day, so pick the dimension and metrics to break it down by. Adobe allows one dimension per report.
You'll be asked for:
- Client ID
- Client secret: for example
p8e-.... - Report suite ID: for example
examplersid.
Sync modes
Each table can be synced in one of several modes, depending on what the source supports:
- Webhook (when available) – the source pushes changes to PostHog in real time. Fastest freshness, lowest ongoing cost, and the only mode that reliably captures updates and deletes.
- Incremental – only new or updated rows are synced on each run, using a cursor field (such as an
updated_attimestamp). Cheaper than a full refresh, but deletes aren't captured. - Append only – new rows are appended using a cursor field; existing rows are never updated. Ideal for immutable, append-only tables like event logs.
- Full refresh – the whole table is reloaded on every sync. Use it when a table has no reliable cursor or when you need deletions reflected.
See sync methods for a full explanation of how each mode works and how to choose between them.
All Adobe Analytics tables are full refresh. Each sync replaces the contents of the table.
Configuration
| Option | Type | Required |
|---|---|---|
Client ID | text | Yes |
Client secret | password | Yes |
Report suite ID | text | Yes |
Global company ID | text | No |
Report dimension | text | No |
Report metrics | text | No |
Start date | text | No |
Supported tables
| Table | Description | Sync method | Incremental field | Primary key |
|---|---|---|---|---|
report_suites | A report suite: the container that Adobe Analytics collects and reports data into. | Full refresh | — | rsid |
segments | A saved segment: a reusable filter applied to report data. | Full refresh | — | id |
calculated_metrics | A calculated metric: a metric derived from other metrics, segments, and functions. | Full refresh | — | id |
dimensions | The dimension catalog for a report suite: every dimension available to break a report down by. | Full refresh | — | rsid, id |
metrics | The metric catalog for a report suite: every metric available to request in a report. | Full refresh | — | rsid, id |
report | Daily report rows from the Adobe Analytics reporting API: one row per report suite, day, and value of the configured dimension, with the configured metrics as columns. | Incremental, Full refresh | date | rsid, date, item_id |
Troubleshooting
- If the connection fails with an authorization error, the client secret is wrong, expired, or has been revoked. Create a new one, then reconnect the source.
- If a table syncs no rows, the credential may not have access to that data. Check its permissions, then reconnect the source.
If your sync is failing or data looks wrong, see the Data warehouse troubleshooting guide. If that doesn't help, contact support – we're happy to help.