---
schema_version: "1"
id: 047d42c387f5d436f925cbb0318f48bbcafd3fdb010c74a0b574d2198e740c3b
title: Dashboard Tabs
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/mktg/264-0-0/mc_pb_reports_dashboard_tabs.md
canonical_url: https://help.salesforce.com/s/articleView?id=mktg.mc_pb_reports_dashboard_tabs.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: d48d37421e869949eaef681017e883d7134319e914156ed979557906b4b3fed1
description: Learn about the dashboard tabs in Einstein Recommendations reports.
products:
  - Marketing
  - Marketing Cloud Intelligence
release: "264"
---
# Dashboard Tabs

Learn about the dashboard tabs in Einstein Recommendations reports.

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small ">
      <colgroup>
        <col style="width:50%">
        <col style="width:50%">
      </colgroup>
      <thead class="slds-text-title_caps ">
        <tr class="">
          <th scope="col" class="slds-cell-wrap" style="vertical-align:top;" id="d45251e36">Tab</th>
          <th scope="col" class="slds-cell-wrap" style="vertical-align:top;" id="d45251e39">Description</th>
        </tr>
      </thead>
      <tbody>
        <tr class="">
          <td data-label="Tab" class="slds-cell-wrap" style="vertical-align:top;" headers="d45251e36 ">Summary</td>

          <td data-label="Description" class="slds-cell-wrap" style="vertical-align:top;" headers="d45251e39 ">Provides a high-level view of Einstein Recommendations for email and
            the web. You can select the time frame, view the data as a graph, and
            choose the export format.</td>

        </tr>
        <tr class="">
          <td data-label="Tab" class="slds-cell-wrap" style="vertical-align:top;" headers="d45251e36 ">Recs and Recs by Scenario</td>

          <td data-label="Description" class="slds-cell-wrap" style="vertical-align:top;" headers="d45251e39 ">Web recommendation metrics by page and scenario</td>

        </tr>
        <tr class="">
          <td data-label="Tab" class="slds-cell-wrap" style="vertical-align:top;" headers="d45251e36 ">Email</td>

          <td data-label="Description" class="slds-cell-wrap" style="vertical-align:top;" headers="d45251e39 ">Email recommendation metrics are separated by marketing campaigns and
            triggered campaigns, and by hash code and scenario</td>

        </tr>
        <tr class="">
          <td data-label="Tab" class="slds-cell-wrap" style="vertical-align:top;" headers="d45251e36 ">Site Details</td>

          <td data-label="Description" class="slds-cell-wrap" style="vertical-align:top;" headers="d45251e39 ">Full site tracking data by day, including Einstein Recommendations
            influenced and direct metrics</td>

        </tr>
        <tr class="">
          <td data-label="Tab" class="slds-cell-wrap" style="vertical-align:top;" headers="d45251e36 ">Contacts</td>

          <td data-label="Description" class="slds-cell-wrap" style="vertical-align:top;" headers="d45251e39 ">
            <p>Search for subscribers by email address. View user profile data
              including affinities, past activity, and current cart items. View
              affinity attributes and weights for a specific user. If you
              implemented Collect Tracking Code, you can also use this data by
              querying the PI_PROFILES data table.</p>
            <ul>
              <li>Subscriber top 5 affinity values are shown in the table on the
                right. These affinities are also held in the profiles data
                extension when Collect Tracking Code data is
                integrated&nbsp;for&nbsp;your account.</li>

              <li>The left table shows the importance of attributes to the
                subscriber’s site decisions.</li>

              <li>Affinities are created through combined purchases, clicks, and
                views.</li>

            </ul>
          </td>

        </tr>
        <tr class="">
          <td data-label="Tab" class="slds-cell-wrap" style="vertical-align:top;" headers="d45251e36 ">Admin Tools</td>

          <td data-label="Description" class="slds-cell-wrap" style="vertical-align:top;" headers="d45251e39 ">
            <p>View data for products and lists used within Einstein
              Recommendations.</p>
            <p>Search by SKU or ProductCode to:</p>
            <ul>
              <li>Show all the item properties reflected by the most current
                Catalog update.</li>

              <li>Manually mark an item out of stock. The Catalog Online
                Availability field overwrites this value with the next catalog
                import.</li>

              <li>View algorithm lists the item is included in.</li>

            </ul>
            <p>Search for lists by typing in part of the corresponding scenario
              logic name, like ‘new’ or ‘bought’.</p>
            <ul>
              <li>Einstein Recommendations uses list data connected to each
                scenario when determining which item to recommend</li>

              <li>Search for scenario list and view all current items on that
                list</li>

              <li>Weight represents the item’s overall enjoyment score, which is
                calculated based on purchases, clicks, and views</li>

            </ul>
          </td>

        </tr>
      </tbody>
    </table>

- **[Displays by Item Report](https://help.salesforce.com/s/articleView?id=mktg.mc_pb_displays_by_item.htm&release=264.0.0&type=5)**  
    Retrieve a report in Einstein Recommendations that displays the number of email recommendations by product code. This report is accessible through the email tab in Email Recommendations reporting.