> ## Documentation Index
> Fetch the complete documentation index at: https://domoinc-openapi-sync-dataflows.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Adobe Analytics Real Time API Connector - Server to Server

## Intro

Use Domo's Adobe Analytics Real Time API Server to Server connector, to retrieve data about customers, page activity and searches to view the big web engagement picture with Domo's Adobe Analytics Real Time API Server to Server Connector. Adobe Analytics delivers everything you need to understand and measure your visitors' online behavior. With Domo, you can easily access Adobe's web analytics metrics and combine them with data from CRM, POS, finance, and any other system to make faster, better-informed decisions.

With your data in Domo, you can snapshot how your web presence develops over time, and get instant notifications when Adobe Analytics metrics hit thresholds that you determine. This connector uses custom reports.

You can connect to your Adobe Analytics Real Time API Server to Server account in the Data Center. This topic discusses the fields and menus that are specific to the Adobe Analytics Real Time API Server to Server connector user interface. To add DataSets, set update schedules, and edit DataSet information, see [Adding a DataSet Using a Data Connector](https://domo-support.domo.com/s/article/360042926274?language=en_US "Adding a DataSet Using a Data Connector").

## Prerequisites

To connect to your Adobe Analytics Real Time API Server to Server account and create a DataSet, you must have the following:

* Client ID
* Client Secret

## Connecting to Your Adobe Analytics Real Time API Server to Server Account

This section enumerates the options in the **Credentials** and **Details** panes in the Adobe Analytics Real Time API Server to Server Connector page. The components of the other panes in this page, **Scheduling** and **Name & Describe Your DataSet**, are universal across most connector types and are discussed in greater length in [Adding a DataSet Using a Data Connector](https://domo-support.domo.com/s/article/360042926274?language=en_US "Adding a DataSet Using a Data Connector").

## Credentials Pane

This pane contains fields for entering credentials to connect to your Adobe Analytics Real Time API Server to Server account. The following table describes what is needed for each field:

<table border="1" cellpadding="1" cellspacing="1" data-aura-rendered-by="33:195;a"><thead><tr><th colspan="1" rowspan="1"><p><span class="s1"> Field </span></p></th><th colspan="1" rowspan="1"><p><span class="s1"> Description </span></p></th></tr></thead><tbody><tr><td colspan="1" rowspan="1"><p> Client ID </p></td><td colspan="1" rowspan="1"><p> Enter the client ID generated by Adobe when creating a server to server integration. </p></td></tr><tr><td colspan="1" rowspan="1"><p> Client Secret </p></td><td colspan="1" rowspan="1"><p> Enter the client secret generated by Adobe when creating a server to server integration. </p></td></tr></tbody></table>

Once you have entered valid Adobe Analytics Real Time API Server to Server credentials, you can use the same account any time to create a new Adobe Analytics Real Time API Server to Server DataSet. You can manage connector accounts in the **Accounts** tab in the Data Center. For more information about this tab, see [Managing User Accounts for Connectors](https://domo-support.domo.com/s/article/360042926054?language=en_US "Managing User Accounts for Connectors").

## Details Pane

This pane contains a primary **Reports** menu, along with various other menus which may or may not appear depending on the report type you select.

<table border="1" cellpadding="1" cellspacing="1" data-aura-rendered-by="33:195;a"><thead><tr><th colspan="1" rowspan="1"><p> Menu </p></th><th colspan="1" rowspan="1"><p> Description </p></th></tr></thead><tbody><tr><td colspan="1" rowspan="1"><p> Predefined Report </p></td><td colspan="1" rowspan="1"><p> Select the Adobe Analytics Real Time API Server to Server report you want to run. The following reports are available: </p><table border="1"><tbody><tr><td colspan="1" rowspan="1"> Report Name </td><td colspan="1" rowspan="1"> Description </td></tr><tr><td colspan="1" rowspan="1"><p> Base Metrics </p></td><td colspan="1" rowspan="1"> Returns data about page views; average time spent on website; unique visitors by month, week, and day; new visitors; and so on. </td></tr><tr><td colspan="1" rowspan="1"><p> Commerce Metrics </p></td><td colspan="1" rowspan="1"> Returns data about number of visits, orders, checkouts, revenue, new and returning customers, and so on. </td></tr><tr><td colspan="1" rowspan="1"><p> Existing Customer Campaigns </p></td><td colspan="1" rowspan="1"> Returns data about visits, orders, and revenue, broken down by existing customer campaign. </td></tr><tr><td colspan="1" rowspan="1"><p> Existing Customer Products </p></td><td colspan="1" rowspan="1"> Returns data about existing customer visits, orders, checkouts, and revenue, broken down by product. </td></tr><tr><td colspan="1" rowspan="1"><p> Mobile Device Types </p></td><td colspan="1" rowspan="1"> Returns data about mobile views, visits, and daily unique visitors, broken down by device type. </td></tr><tr><td colspan="1" rowspan="1"><p> Mobile Metrics </p></td><td colspan="1" rowspan="1"> Returns metrics about mobile device usage, such as device type, OS, views, visits, and daily unique visitors. </td></tr><tr><td colspan="1" rowspan="1"><p> Natural Search Conversion </p></td><td colspan="1" rowspan="1"> Returns data about number of visits, orders, and revenue, broken down by natural search keyword. </td></tr><tr><td colspan="1" rowspan="1"><p> Natural Search Visits </p></td><td colspan="1" rowspan="1"> Returns data about number of visits, page views, and daily unique visitors, broken down by natural search keyword. </td></tr><tr><td colspan="1" rowspan="1"><p> New Visitor Best Campaigns </p></td><td colspan="1" rowspan="1"> Returns data about visits, orders, revenue, and units, broken down by new visitor campaign. </td></tr><tr><td colspan="1" rowspan="1"><p> New Visitor Geo </p></td><td colspan="1" rowspan="1"> Returns data about visits, orders, revenue, and units, broken down by region. </td></tr><tr><td colspan="1" rowspan="1"><p> New Visitor Geo Country </p></td><td colspan="1" rowspan="1"> Returns data about visits, orders, revenue, and units, broken down by country. </td></tr><tr><td colspan="1" rowspan="1"><p> New Visitor Keywords </p></td><td colspan="1" rowspan="1"> Returns data about visits, orders, revenue, and units, broken down by paid search keyword. </td></tr><tr><td colspan="1" rowspan="1"><p> New Visitor Products </p></td><td colspan="1" rowspan="1"> Returns data about new customer visits, orders, checkouts, revenue, units, etc., broken down by product. </td></tr><tr><td colspan="1" rowspan="1"><p> New Visitor Traffic Source </p></td><td colspan="1" rowspan="1"> Returns data about visits, orders, revenue, and units, broken down by referrer type. </td></tr><tr><td colspan="1" rowspan="1"><p> Page Effectiveness </p></td><td colspan="1" rowspan="1"> Returns data about page visits, entries and exists, bounces, and bounce rate, broken down by page. </td></tr><tr><td colspan="1" rowspan="1"><p> Page Metrics </p></td><td colspan="1" rowspan="1"> Returns data about page views, visits, daily unique visitors, and exists, broken down by page. </td></tr><tr><td colspan="1" rowspan="1"><p> Paid Search Conversion </p></td><td colspan="1" rowspan="1"> Returns data about visits, orders, and revenue, broken down by paid search keyword. </td></tr><tr><td colspan="1" rowspan="1"><p> Paid Search Visits </p></td><td colspan="1" rowspan="1"> Returns data about page views, daily unique visitors, and visits, broken down by paid search keyword. </td></tr><tr><td colspan="1" rowspan="1"><p> Products and Categories </p></td><td colspan="1" rowspan="1"> Returns data about visits, orders, and revenue, broken down by product and category. </td></tr></tbody></table></td></tr><tr><td colspan="1" rowspan="1"> Access Level </td><td colspan="1" rowspan="1"> Select All if using an Admin account. Shared otherwise. </td></tr><tr><td colspan="1" rowspan="1"> Company </td><td colspan="1" rowspan="1"> Select the company. </td></tr><tr><td colspan="1" rowspan="1"> Report Suite </td><td colspan="1" rowspan="1"> Select the Adobe Analytics Report Suite you want to pull data from. </td></tr><tr><td colspan="1" rowspan="1"> Report Type </td><td colspan="1" rowspan="1"> Select a report type. The report type determines the set of inputs needed to configure the data source. </td></tr><tr><td colspan="1" rowspan="1"> Elements </td><td colspan="1" rowspan="1"> Select up to four element names. </td></tr><tr><td colspan="1" rowspan="1"> Additional Element Information </td><td colspan="1" rowspan="1"> Enter additional element information. Use the JSON format defined in the <a target="_blank" href="https://marketing.adobe.com/developer/en_US/get-started/api-explorer#Report.Queue">API Explorer</a> for complete customization e.g.<br />`{"top":50, "selected":[], "classifications":[], "id":"page"<br/>"name":"Page"}`</td></tr><tr><td colspan="1" rowspan="1"> Metrics </td><td colspan="1" rowspan="1"> Select the metrics to include in the custom report. Select up to 30 metrics for your report. </td></tr><tr><td colspan="1" rowspan="1"> Segments </td><td colspan="1" rowspan="1"> Select the segments you want to use to filter the custom report. </td></tr><tr><td colspan="1" rowspan="1"> Inline Segments </td><td colspan="1" rowspan="1"> Enter additional inline segment information. Use the JSON format defined in the <a target="_blank" href="https://marketing.adobe.com/developer/en_US/get-started/api-explorer#Report.Queue">API Explorer</a> for inline segments e.g.<br /> `{"name":"segment"}`</td></tr><tr><td colspan="1" rowspan="1"> Date Granularity </td><td colspan="1" rowspan="1"> Select a date grain for the report. This determines whether the data is broken down by day, by week, and so on. </td></tr><tr><td colspan="1" rowspan="1"> Add Date Granularity </td><td colspan="1" rowspan="1"> Select if you want to aggregate the data by the date granularity specified above or aggregate all the data. </td></tr><tr><td colspan="1" rowspan="1"> Duration </td><td colspan="1" rowspan="1"> Specify whether the data in this report is for a single date or range of dates. </td></tr><tr><td colspan="1" rowspan="1"> Report Date </td><td colspan="1" rowspan="1"> Select whether the data in the report is for a specific date or for a relative date based on the selected <b> Date Granularity </b>. </td></tr><tr><td colspan="1" rowspan="1"> Select Specific Date </td><td colspan="1" rowspan="1"> Select the date you want to retrieve. </td></tr><tr><td colspan="1" rowspan="1"> Date Offset </td><td colspan="1" rowspan="1"> Enter the number of periods back that will be used to offset your relative date. The period is based on your selected <b> Date Granularity </b>. </td></tr><tr><td colspan="1" rowspan="1"> Date From </td><td colspan="1" rowspan="1"> Specify whether the first date in your date range is a specific or relative date. You select the last date in your range in <b> Date To </b>. Options in these menus are determined by the selected <b> Date Granularity </b>. </td></tr><tr><td colspan="1" rowspan="1"> Select Specific Date From </td><td colspan="1" rowspan="1"> Select the first date in your date range. </td></tr><tr><td colspan="1" rowspan="1"> Date From Offset </td><td colspan="1" rowspan="1"> Enter the offset from the selected start date. This adjusts the selected start date the number of periods (day, weeks, and so on, based on the date granularity setting) into the past. </td></tr><tr><td colspan="1" rowspan="1"> Date To </td><td colspan="1" rowspan="1"> Specify whether the last date in your date range is a specific or relative date. You select the firstdate in your range in <b> Date From </b>. Options in these menus are determined by the selected <b> Date Granularity </b>. </td></tr><tr><td colspan="1" rowspan="1"> Select Specific Date To </td><td colspan="1" rowspan="1"> Select the last date in your date range. </td></tr><tr><td colspan="1" rowspan="1"> Date To Offset </td><td colspan="1" rowspan="1"> Enter the number of periods back that will be used to offset the last date in your date range. The period is based on your selected <b> Date Granularity </b>. </td></tr><tr><td colspan="1" rowspan="1"> Time Zone </td><td colspan="1" rowspan="1"> Select the timezone associated with the data. Because the processing takes place in the UTC timezone, processing data with today's date (or 'today' as the date) requires knowing the correct timezone. </td></tr><tr><td colspan="1" rowspan="1"> Include All Timezones </td><td colspan="1" rowspan="1"> Select to include all international timezones as well as the default US timezones. </td></tr><tr><td colspan="1" rowspan="1"> Backfill </td><td colspan="1" rowspan="1"> Enter the number of periods that should backfill the first time the report is run. </td></tr><tr><td colspan="1" rowspan="1"> Reset Update </td><td colspan="1" rowspan="1"> Select 'Yes' to reset the update flag. Resetting the flag will cause the data source to retrieve all available data, rather than the just the new data from the last update. </td></tr><tr><td colspan="1" rowspan="1"> Query </td><td colspan="1" rowspan="1"> Enter ' <a href="https://adobe-experience-cloud.github.io/analytics-1.4-apis/swagger-docs.html#/Report/Report.Queue'" target="_blank" title="https://adobe-experience-cloud.github.io/analytics-1.4-apis/swagger-docs.html#/Report/Report.Queue'"> [https://adobe-experience-cloud.github.io/analytics-1.4-apis/swagger-docs.html#/Report/Report.Queue](https://adobe-experience-cloud.github.io/analytics-1.4-apis/swagger-docs.html#/Report/Report.Queue)' </a> Adobe Analytics Web Service API Explorer Query to pull data for your report. e.g.`{"reportDescription":{<br/>&nbsp;&nbsp;&nbsp;"reportSuiteID":"thankyoudev"<br/>&nbsp;&nbsp;&nbsp;"dateFrom":"2014-09-07"<br/>&nbsp;&nbsp;&nbsp;"dateTo":"2014-09-07"<br/>&nbsp;&nbsp;&nbsp;"dateGranularity":"Day"<br/>&nbsp;&nbsp;&nbsp;"elements":[<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;{"top":50,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"selected":[],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"classifications":[],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"id":"page"<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"name":"Page"}],<br/>&nbsp;&nbsp;&nbsp;"metrics":[<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;{"decimals":0,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"id":"pageviews"<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"name":"Page Views"},<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;{"decimals":0,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"id":"visits"<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"name":"Visits"}],<br/>&nbsp;&nbsp;&nbsp;"segments":[],<br/>&nbsp;&nbsp;&nbsp;"locale":"en_US"}}`<br /><h3>Relative Dates</h3><p>These values can be used instead of a date in order to support relative dates in the connector.<ol><li>$Today</li><li>$Yesterday</li><li>$First of Week</li><li>$This Week</li><li>$Last Week</li><li>$First of Month</li><li>$This Month</li><li>$Last Month</li></ol></p><p>You can also add or substract units from the base value, such as \$Yesterday-7, which would be yesterday minus 7 days.</p></td></tr><tr><td colspan="1" rowspan="1"> Schedule </td><td colspan="1" rowspan="1"> What schedule to update this Data Source. </td></tr><tr><td colspan="1" rowspan="1"> Retry </td><td colspan="1" rowspan="1"> Set the retry attempts for this Data Source. </td></tr><tr><td colspan="1" rowspan="1"> Update Method </td><td colspan="1" rowspan="1"><p><b> Replace </b></p><p> The current version of the data will be replaced with a new version of the data. All previous versions will be preserved. </p><p><b> Append </b></p><p> The current version of the data will be appended to previous versions of the data to make an increasingly larger data set. </p></td></tr><tr><td colspan="1" rowspan="1"> Sort By </td><td colspan="1" rowspan="1"><p> This can be used when declaring multiple metrics for Ranked and Trended reports. By default, the first metric will be used to sort. Use this option to sort by any of the metrics requested. </p></td></tr><tr><td colspan="1" rowspan="1"> Query Segments Individually </td><td colspan="1" rowspan="1"><p> Select Yes if you would like to query each segment individually. </p></td></tr></tbody></table>

## Other Panes

For information about the remaining sections of the connector interface, including how to configure scheduling, retry, and update options, see [Adding a DataSet Using a Data Connector](https://domo-support.domo.com/s/article/360042926274?language=en_US "Adding a DataSet Using a Data Connector").
