Digital Remedy

FEBRUARY 19, 2025

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. Control Group those whodid notsee ads. External Noise : Uncontrollable variables (e.g.,

Control Group 66

Control Group A/B Testing Impressions Cookies 66

Digital Remedy

MAY 31, 2022

We mentioned how, at the very heart of this analysis, there is a comparison between two groups: Exposed Group – those who saw ads. Control Group – those who did not see ads. Controlling The Control. Market A/B T esting . Real-World Example. Remember our basketball example?

Control Group 98

Control Group Impressions A/B Testing Ad Space 98

Digital Remedy

MAY 31, 2022

We mentioned how, at the very heart of this analysis, there is a comparison between two groups: Exposed Group – those who saw ads. Control Group – those who did not see ads. Controlling The Control. Market A/B T esting . Real-World Example. Remember our basketball example?

Control Group 52

Control Group Impressions A/B Testing Ad Space 52

Martech

MARCH 30, 2022

Testing without statistical significance. If your testing results are statistically significant, it means that the differences between testing groups (the control group, which was unchanged, and the group that received a variable, such as a different call to action or subject line) didn’t happen because of chance, error or uncounted events.

Conversion 104

Conversion A/B Testing Control Group Marketing 104