Page Comparison

Requirements: 

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1. Integrate ML Platform with Eloqua
2. Click on Setup Measurement under the Eloqua Tile on the Integration page
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3. Toggle the Setup & Activate buttons.To facilitate the daily push of account engagement data, Madison Logic will automatically create an Eloqua custom object
   
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Testing  (Note: The Test Activity Sync process is not required)

To test that the synchronization is working as intended, enter an existing Eloqua Lead ID and click Send

Madison Logic Custom Object

Madison Logic will automatically create creates a custom object in Eloqua on your behalf to hold the store account level engagement data. The custom object in Eloqua will have the below following configuration settings:

1. Display Name: Madison Logic ABM Signals
2. Description: Madison Logic account engagement data
3. Fields: 

   1. Last 15 Days Impressions (Integer)

   2. Last 30 Days Impressions (Integer)

   3. Last 90 Days Impressions (Integer)

   4. Last 15 Days Site Visits (Integer)

   5. Last 30 Days Site Visits (Integer)

   6. Last 90 Days Site Visits (Integer)

   7. Last 15 Days Site Leads (Integer)

   8. Last 30 Days Site Leads (Integer)

   9. Last 90 Days Site Leads (Integer)

   10. Trending Topics (String)

   11. Last 15 Days LinkedIn Impressions (Integer)

   12. Last 30 Days LinkedIn Impressions (Integer)

   13. Last 90 Days LinkedIn Impressions (Integer)

   14. Last 15 Days LinkedIn Clicks (Integer)

   15. Last 30 Days LinkedIn Clicks  (Integer)

   16. Last 90 Days LinkedIn Clicks  (Integer)

   17. Last 15 Days LinkedIn Likes (Integer)

   18. Last 30 Days LinkedIn Likes  (Integer)

   19. Last 90 Days LinkedIn Likes  (Integer)

   20. Last 15 Days LinkedIn Shares (Integer)

   21. Last 30 Days LinkedIn Shares (Integer)

   22. Last 90 Days LinkedIn Shares (Integer)

   23. Last 15 Days LinkedIn Comments (Integer)

   24. Last 30 Days LinkedIn Comments (Integer)

   25. Last 90 Days LinkedIn Comments (Integer)

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