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      Guide: Using LinkedIn Ads with Databox

      HOW TO

      How to connect LinkedIn Ads to Databox

      IN THIS SECTION

      How to connect LinkedIn Ads to Databox

      To connect a LinkedIn Ads Account in Databox, go to Data Manager > + New connection. Type LinkedIn Ads in the search bar and click on the green Connect button. 

      This will open the Authorization window, which is where you will be prompted to enter your LinkedIn Ads login credentials and authorize the Databox app. 

      What's the maximum amount of historical data initially available when you use a new LinkedIn Ads Metric in Databox?

      Data is synced for the Metrics that are being used in your Account, so when you first use a new LinkedIn Ads Metric, the maximum amount of historical data available is 24 months.

      Certain Metrics may have more or less historical data available. Learn more here.

      Pro Tip:  In order to start syncing data for a Metric, you can add it to your Metrics screen, use it in a Scorecard, set a Goal around it, create an Alert for it, or add it to a Databoard. Learn more here.  

      The amount of historical data you're able to access in Databox is dependent on your Databox plan. Learn more here.

      What time zone does LinkedIn Ads data sync in? 

      LinkedIn Ads data is synced in UTC. 

      Why is my LinkedIn Ads Data Source disconnected?

      LinkedIn connections are established using tokens. LinkedIn sets its tokens to expire after 60 days. This means that every 60 days, your LinkedIn Data Source will be disconnected. 

      In order to reconnect your LinkedIn Data Source, navigate to Data Manager and click the Reconnect button next to your LinkedIn Ads Data Source. 

      How to access pre-built LinkedIn Ads Templates

      1. Navigate to Databoards > Public Templates
      2. In the Data Source drop-down list, select LinkedIn Ads
      3. To view a preview of the Template populated with dummy data, click Preview
      4. To pull the Template into your Account and re-populate it with your own LinkedIn data, click Use Template
      5. Select the appropriate LinkedIn Data Source from the drop-down list to complete the process. The Databoard will be re-populated with data from the selected LinkedIn Ads Account and can be found on the  Databoards page.

      Pro Tip: Once the Databoard is available on the Databoards page, it is completely disconnected from the public Template. Therefore, you can further customize this Databoard to meet your specific needs using the Designer.

      Popular LinkedIn Ads Templates

      LinkedIn Ads Overview LinkedIn Ads: Ad Performance

       

       
      This dashboard provides insights across your LinkedIn Ads Account. 
      This Template shows a high-level performance overview of your Linkedin ads, so you can track ROI.

      How to build a Databoard using LinkedIn Ads data

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      Popular LinkedIn Ads Metrics

      Impressions Total Spent Clicks

           
      Campaign Performance Ad Performance Performance Overview

      View a full list of LinkedIn Ads Metrics available in Databox here.

      How to build a Databoard

       
      1. Navigate to  Databoards > + New Databoard > Start Blank
      2. Click on the Metric  Library icon on the left-hand side of the Designer
      3. Select the appropriate LinkedIn Ads Account from the Data Source drop-down list in the Metric Library
      4. View the list of pre-built LinkedIn Ads Datablocks in the Metric Library. Drag and drop your selected Datablock onto your Databoard
      5. If a pre-built Datablock isn't available for your use case, click on the  Visualization Types icon under the Metric Library icon
      6. View the list of Visualizations available in Databox. Drag and drop your selected Visualization onto your Databoard
      7. Click on the Datablock on the Databoard to open the corresponding Datablock Settings on the righthand side of the Designer
      8. Select the appropriate LinkedIn Ads Data Source and Metric in the righthand Datablock Settings. This will update the Datablock, and it will populate the Datablock with the corresponding data
      9. Complete steps 4-8 until your Databoard is complete

      How to use the Metric Builder for LinkedIn Ads

      Learn how to use the Metric Builder for LinkedIn Ads here.

      Additional Information

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      API Limitations

      • Due to changes imposed by LinkedIn, you may see changes in the LinkedIn campaign and reporting metrics if you have active campaigns targeting members residing in the European Economic Area (EEA)* and Switzerland. You might notice fewer conversions, lower audience sizes, and changes to ROI. You can learn more about this here.

      Metric Considerations

      • Due to technical limitations, the Date Range ''All Time'' will return a maximum 24 months of historical data.
      • Due to API limitations, the maximum amount of historical daily data available is 6 months. This may affect the way LinkedIn Ads Metrics are visualized on Charts. 

      However, the big number above the chart will accurately reflect the Metric value for the full Date Range.

      Learn more here.

      • In LinkedIn Ads, Impressions and Clicks are reported in the user's timezone, while the LinkedIn Ads integration with Databox reflects all data in Universal Time (UTC). This may result in slight delays between "Impressions" and "Clicks" shown in Databox vs LinkedIn Ads. Metric values for Impressions and Clicks data may not match between Databox and LinkedIn Ads account.

        It's important to note that Campaigns with specified end dates will end at 11:59 p.m. UTC on the selected date.

      Learn more here.

      Granularity Restrictions

      • Due to API limitations, hourly, weekly, and quarterly granularities are not supported. This may affect visualization options for Charts in Databox. 

        For example, if a LinkedIn Ads Metric is used on a Line or Bar Chart with ''Yesterday'' Date Range selected, hourly data won't be displayed on the Chart. 
        However, the big number above the Chart will accurately reflect the Metric value for the selected Date Range. 

        Learn more about Granularity here.