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In Part 1 of our Intro to Incrementality series , we covered the basics of how incrementality analysis helps marketers uncover the true impact of their advertising by comparing two groups: Exposed Group those who saw ads. ControlGroup those whodid notsee ads. External Noise : Uncontrollable variables (e.g.,
We mentioned how, at the very heart of this analysis, there is a comparison between two groups: Exposed Group – those who saw ads. ControlGroup – those who did not see ads. Controlling The Control. Random Suppressed Groups. Real-World Example. Remember our basketball example?
But the slow deprecation of third-party cookies has whittled away at the quality of many third-party audiences, forcing CPGs to look elsewhere for efficient yet scalable solutions. brand lift survey, ad impression/frequency management) rely heavily on third-party cookies. Unfortunately, there is no third-party data panacea.
We mentioned how, at the very heart of this analysis, there is a comparison between two groups: Exposed Group – those who saw ads. ControlGroup – those who did not see ads. Controlling The Control. Random Suppressed Groups. Real-World Example. Remember our basketball example?
Various native advertising platforms offer scalable pricing models, such as cost-per-view (CPV), cost-per-day (CPD) and cost-per-thousand-impressions (CPM). Compare this figure to the controlgroup, which saw a mere 14% top-of-mind awareness. There’s a reason why: Close-up ads result in more impressions, clicks and engagements.
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