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Why can't a pharma brand just use the ad platform's own targeting reports to check quality?
A platform's own targeting report confirms who its algorithm aimed at, not who was actually verified as being in the target patient population by real-world health data. A clean room checks exposure against an independent, verified population definition instead.
What does a pharma brand need to measure audience quality?
A data partner that can define the target patient population, such as by diagnosis code or treatment history, and campaign exposure data from the brand's media partner to match against it. Alternatively a brand can tap into Decentriq network partners such as PurpleLab.
Can audience quality be measured without identifying individual patients?
Yes. The clean room returns only an aggregate score, the share of exposure that matched the target population, not a list of which individuals were reached or matched.
How often can an audience quality check be run during a campaign?
As often as the brand wants to check in, since it doesn't depend on claims data maturing. Many brands run it on a rolling basis throughout a flight to catch targeting drift early, rather than waiting until the campaign ends.
View Other Measurement use-cases
Attribution
Connect campaign exposure to customer outcomes without exposing either party's raw data
explore attribution ->Conversion lift / incrementality testing
Measure the true incremental effect of a campaign against a control group
explore Conversion lift / incrementality testing ->Cross-media reach & frequency
See deduplicated reach and frequency across publishers and channels while protecting exposure logs
explore cross-media reach & frequency ->Incremental reach
Identify the audience a channel (e.g. CTV) uniquely reaches beyond another channel (e.g. Linear TV)
Script lift (pharma)
Pharma-specific version of conversion lift, built for US brands.
