Martech

DECEMBER 2, 2024

A/B testing (split testing): This is one of the most straightforward and effective methods for measuring incrementality. Geo-testing: This technique involves running marketing campaigns in specific geographic areas while keeping similar areas as control groups.

A/B Testing 111

A/B Testing Control Group Marketing Conversion Rate 111

Digital Remedy

MAY 31, 2022

In our first Intro to Incrementality piece , we explained what incrementality analysis is and how marketers can use it to make more informed decisions about what success means for their media campaigns. 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 98

Control Group Impressions A/B Testing Ad Space 98

Digital Remedy

MAY 31, 2022

In our first Intro to Incrementality piece , we explained what incrementality analysis is and how marketers can use it to make more informed decisions about what success means for their media campaigns. 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 52

Control Group Impressions A/B Testing Ad Space 52

MNTN

FEBRUARY 6, 2024

The options include but are not limited to: Social media platforms Email marketing Websites Print media Broadcasting media Networking events But among this increasingly diverse advertising arsenal, how do you understand which channels are actually driving conversions?

Marketing 52

Marketing Conversion A/B Testing Control Group 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