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Please see below for frequently asked questions regarding the integration with LinkedIn. These questions fall into the following categories:

If you do not see your question listed below or would like to provide any feedback on the integration with LinkedIn, please reach out to your Madison Logic Customer Success Manager.

Integration Details

  • Does Madison Logic set up and activate LinkedIn campaigns?

    • No, all set up and activation for LinkedIn campaigns will still be set up and activated in your LinkedIn Campaign Manager. The integration is focused on measurement using LinkedIn’s API.

  • How often does the data update?

    • All data in MLP, including data from LinkedIn, is updated overnight. e.g. Today’s MLP data (3rd March) will reflect all delivery from the campaign start date through yesterday (Start - 2nd March).

  • Does the ML Platform support all LinkedIn Ad formats? 

    • You can use any ad format in LinkedIn, however MLP currently supports reporting on impressions, clicks, likes, comments, and shares, so functions best with Sponsored Content campaigns. 

    • If you would like to see additional LinkedIn metrics in MLP, please provide this feedback to your Customer Success Manager. ML’s product team will evaluate new LinkedIn metric recommendations on a continuous basis.

Metrics in ML.Platform

  • Why are the LinkedIn metrics for my program higher than the overall account level engagement?

    • As a result of LinkedIn’s Member Privacy Policy, when we aggregate account level engagement to show LinkedIn performance across all target accounts for the program, we lose any engagement metrics under 3. Across all target accounts these metrics add up, and result in missing LinkedIn data when evaluating overall campaign performance.

    • To provide a full picture of LinkedIn performance by creative for your program, we report on all LinkedIn delivery for the program in ML Platform. At the account level, ML provides granular insights by account and creative for all engagements above the reporting minimum as per LinkedIn’s Member Privacy Policy.

    • As a result, there will be a discrepancy between the total LinkedIn impressions by account when compared with the overall LinkedIn impressions for the program.

    • You can find more details from LinkedIn on the reporting impact of their Member Privacy Policy here.

  • Are leads generated by LinkedIn reported on in the ML Platform?

    • Leads generated by LinkedIn are not currently reported on in the ML Platform. The leads in the platform have been generated by Madison Logic via content syndication. 

  • Does the exposure time include LinkedIn?

    • No, exposure time in MLP is for display advertising only and does not include LinkedIn.

  • Do LinkedIn ‘Likes’ include all ‘Reactions’?

    • No, ‘Likes’ from LinkedIn are a count of ‘Likes’ from sponsored updates only.

  • What type of LinkedIn Clicks are reported on in MLP?

    • LinkedIn clicks in MLP represent all chargeable clicks (for example, clicks to view the landing page or company page). You can find more information on chargeable clicks on LinkedIn’s Help center here.

  • If an agency wants to run campaigns on behalf of their clients (i.e. publishing rights on their clients' accounts), would we be able to show the performance of those campaign in ML Platform?

    • Yes, we would be able to pull those data points into ML Platform and they would show up in campaigns that are properly mapped prior to the start of the campaign cycles as long as the agency has creative manager role or higher on their client’s accounts.

LinkedIn Campaign Setup & Mapping

  • Can I map multiple LinkedIn campaigns to one program in MLP?

    • It is possible to map multiple LinkedIn campaigns to one program, however once mapped these campaigns will appear in a combined view and it is not possible to see a breakdown of performance for each individual campaign.

  • Can I map my LinkedIn campaign using the campaign group ID?

    • No, campaign group IDs are not accepted.

  • Why am I getting an error for ‘Audience Expansion’ when mapping my LinkedIn campaign?

    • Audience expansion is used to reach additional accounts outside of your matched audience. For your ABM programs, audience expansion should be disabled in order to focus your LinkedIn spend on your target accounts. For instructions on how to disable Audience Expansion in the LinkedIn Campaign Manager, refer to step 2 ‘don’t forget' section here.

  • Can I map an existing LinkedIn campaign in MLP?

    • The recommended best practice is to map LinkedIn campaigns that closely match the date ranges of the program in MLP. The reason for this is to align the data and reporting across all channels. Ideally, a new campaign should be created and mapped to a corresponding ML program. 

    • It’s possible to map an existing LinkedIn campaign if the start date is no more than 60 days before the start date of your MLP program.

  • Is it possible to map paused LinkedIn campaigns in MLP?

    • To align with our best practice of running campaigns in tandem, paused LinkedIn campaigns are not currently synced into MLP. 

      • If the campaign is mapped when active and then subsequently paused, it will sync the data whilst the campaign is active and then stop syncing once paused. 

      • If the campaign is mapped in a paused state, it will not sync.

  • Can I map my LinkedIn campaign to more than one program in MLP to create a combined view?

    • If you would like to create a combined view in MLP to show your LinkedIn campaign data alongside multiple MLP programs, it is recommended that this is done at the beginning of the campaign.

    • To create a combined view, please work with your Customer Success Manager.

 Archive

  • Why is there a discrepancy between the data in my LinkedIn Campaign Manager and the ML Platform?

    • Viral Reached Accounts

      • As an ABM platform, ML.Platform only reports on activity from accounts in your Madison Logic target account list.

      • When matched audiences are targeted in LinkedIn, due to the nature of the Social network, your content will be served to users beyond your targeted accounts. For example, if a user shares your sponsored update to their own network of connections, it is exposed to additional users who may not be on your target account list.

      • As a result, LinkedIn will report on that delivery to accounts outside of your target accounts and Madison Logic will filter that deliver out.

      • This will cause discrepancies with the data you see in the LinkedIn Campaign Manager vs MLP. LinkedIn reporting reports on all engagement with the content featured in your campaign, whereas the LinkedIn data in MLP represents the reach and engagement of the accounts on your target list.

    • Member Privacy

      • LinkedIn has implemented member privacy measures that impact the data we can show in the ML.Platform.  These measures are aimed at protecting member privacy and stipulate that they cannot expose any delivery metrics with a value of less than 3 (clicks, likes, etc).

      • Since Madison Logic reports on delivery at a very granular level (such as creatives by account), we only report on the metrics with a count = or > 3 at the account / creative level.

      • LinkedIn will count all delivery metrics in aggregate at the account level and provide the aggregated delivery (as long as the aggregate is =>3).

        • For example:

          • Actual Delivery

            • Account XYZ / Creative 1 = 2 Likes

            • Account XYZ / Creative 2 = 5 Likes

            • Account XYZ / Creative 3 = 4 Likes

            • Account AAA/ Creative 1 = 4 Likes

          • Reporting Illustrates

            • LinkedIn
              Account XYZ = 11 likes
              Creative 1 = 6 Likes

            • Madison Logic:
              Account XYZ = 9 likes AND
              Account XYZ / Creative 1 = 0 Likes
              Account XYZ / Creative 2 = 5 Likes
              Account XYZ / Creative 3 = 4 Likes
              Account AAA / Creative 1 = 4 Likes

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