Get started with Dreamdata
Google Display Ads
Google Search Ads
Return on Ads Spend
Google Tag Manager
How does Dreamdata track all relevant on-site customer data?
Load analytics.js from your own domain
Pardot iframe form tracking
Server Side Analytics APIs
Setting up Dreamdata Web tracking (analytics.js)
Setting up tracking with Segment
How to invite Sales team members to Dreamdata
Can I exclude content or websites from being tracked?
Some of my deals are flagged with "no-tracking". What does it mean?
Stage models in Dreamdata Free
What does Visitors, Contacts and Companies mean?
What is a Stage Model?
What is a company in Dreamdata?
What is a session?
Why are my dashboards empty?
Content Performance - Dashboard Options
Which channel performs best for different content?
Which content generates pipeline?
Measuring influenced pipeline for B2B content - the true conversion metric
Setup Content Reporting
What KPI to measure the effect of B2B content?
Setting up AdRoll
Setting up Agile CRM
Setting up Bing Ads
Setting up Capterra
Setting up Close
Setting up Facebook Ads
Setting up G2 Crowd
Setting up Google Ads
Setting up Google Search
Setting up Google Sheets
Setting up HubSpot
Setting up Intercom
Setting up LinkedIn Ads
Setting up Marketo
Setting up Microsoft Dynamics
Setting up Pardot
Setting up Pipedrive
Setting up Salesforce
Setting up Twitter Ads
Setting up Zapier integration & Zaps for Lead Gen forms/Lead Ads
Setting up Zendesk Sell
Setting up Zoho CRM
Connect to AWS Redshift using AWS Glue
Connect your Dreamdata data to Amazon Redshift
Connect your Dreamdata data to Snowflake
Getting Started with Google Data Studio Templates
Google Cloud Storage
Google Connected Sheets
Guides for Google Data Studio Reporting
Updated by Mikkel Settnes
How to use Dreamdata to measure content performance across entry channels
To analyze 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.