Adobe Analytics

Follow our setup guide to connect Adobe Analytics to QUANTI:

Prebuilt reports and definition

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Prerequisites

To connect Adobe Analytics to QUANTI, you need:

• An Adobe Analytics account

• Access to Adobe Developer Console to create an OAuth Server-to-Server project and retrieve your API credentials

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Setup instructions

1

Retrieve your API credentials

In Adobe Developer Console:

1. Create a new project (or open an existing one)

2. Click Add API and select Adobe Analytics

3. Choose OAuth Server-to-Server as the authentication method

4. Note your Client ID and Client Secret

Your Global Company ID is found in Adobe Analytics under Admin > Company Settings.

2

Authorize your account

In QUANTI, enter the credentials retrieved in the previous step:

• Client ID

• Client Secret

• Global Company ID

3

Select Report Suites

Choose the Adobe Analytics Report Suites you want to sync.

4

Select pre-built reports

Select the pre-built reports you want to activate, and/or create your own custom reports. To help you configure custom reports, refer to the Custom reports chapter below.

5

Connector information

• Connector Name: Name your connector. It must be unique.

• Dataset ID: Define the ID of the dataset. It must not exist yet, as it will be created and data will be sent there.

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Pre-built reports

• campaign_performance: Visits, visitors, bounces, revenue, orders, and pageviews per tracking code (campaign).

• pages_performance: Pageviews, visitors, visits, exits, and bounces per page.

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Prebuilt reports and definition

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Custom reports

Adobe Analytics custom reports let you query any combination of dimensions and metrics available in your Report Suite via the Adobe Analytics Reporting API 2.0.

Find available dimensions and metrics

The full reference for available dimensions and metrics is the official Adobe Analytics API documentation: 👉 developer.adobe.com/analytics-apis/docs/2.0/

Dimensions follow the pattern variables/<name> (e.g. variables/campaign, variables/page) and metrics follow metrics/<name> (e.g. metrics/visits, metrics/pageviews).

Use an AI assistant to speed up the configuration. Describe the report you want to reproduce — as you see it in the Adobe Analytics interface — to an AI assistant (Claude, ChatGPT…). For example:

"I want to build a custom Adobe Analytics report showing visits, bounces and revenue by marketing channel. What dimension and metrics should I use in the QUANTI JSON format { "dimension": "", "metrics": [] } ?"

The AI will identify the correct dimension value and the exact metrics array for you.

Configure the custom report

In QUANTI, at the Select pre-built reports step, click Add custom report. Fill in the following JSON:

{
  "dimension": "",
  "metrics": []
}

• dimension (required): The Adobe Analytics dimension ID (e.g. "variables/campaign", "variables/page", "variables/browser")

• metrics (required): Array of metric IDs to retrieve (e.g. ["metrics/visits", "metrics/pageviews", "metrics/bounces"])

Map your fields (Schema)

After configuring the query, the Schema step lets you define how fields are stored in your data warehouse:

• Adjust the Type (STRING, INTEGER, FLOAT…) for each field

• Check Unique identifiers to mark dimension fields as part of the primary key — they collectively form the unique identifier of each row

Once all fields are mapped, click Save to create the custom report table.