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Dreamdata Content Analytics: Discover the real value of your content
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- Which channel performs best for different content?
Which channel performs best for different content?
Updated
by Mikkel Settnes
How to use Dreamdata to measure content performance across entry channels
To analyse how people arrive at the content (in terms of channel) and how that affects the content performance towards the MQL pipeline stage, we set the dashboard options as shown.

This will setup the report to investigate:
- Does content perform differently depending on the channel?
- Which content and channel influence the most pipeline?
- Which content and channel performs most effectively in terms of affecting the pipeline.
We choose the Secondary Group By to Session Channel to split the URLs depending on the channel of the session that contains the content view.
The first graph will still show the top URL based on the Metric on Graph option (below Influenced Leads), but it is also split by the channel of the session containing the content.
Use this graphs to quickly get an overview of the top content and how it splits by channel.
The Summary Table contains the detailed performance of each content piece. Notice that the secondary group by column now indicates the session channel and that each content piece therefore will appear for each channel.
The performance metrics shown follow the same definitions as explained here, with the addition that metrics are calculated for each channel that started a session containing the specified content.
The number of Influenced Leads summed across all channels can therefore not be expected to sum to the total number of unique Influenced Leads by a content piece.
The over-time view is also split by session channel, thereby allowing us to investigate the performance over time of which channels started the sessions that influenced leads.