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What Is A/B SEO Testing?

Single Grain

A/B SEO testing. In this guide, we’ll explain why A/B testing is important, the SEO elements you can split test, and a handful of companies who’ve run controlled experiments that resulted in increased search traffic. What Can I A/B Test? The answer? Let’s dive in. Get A Free Consultation.

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Intro to Incrementality Series: Part II

Digital Remedy

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?

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Intro to Incrementality Series: Part II

Digital Remedy

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?

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How brands are measuring incremental performance on CTV

Digiday

Incrementality is a form of A/B testing that measures the true impact of CTV compared to the results advertisers would have achieved without CTV. Another approach to measuring CTV incrementality is randomized control versus exposed testing. Understanding the evolution of CTV incrementality.

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What Is Marketing Attribution and How Does It Work?

MNTN

Test and Validate Don’t just pick a model and stick with it forever. A/B testing is an excellent idea if you want to contrast the efficiency of different marketing attribution models and measure how they affect your key performance indicators (KPIs).

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Comic: Ghost Ad

AdExchanger

A weekly comic strip from AdExchanger.com that highlights the digital advertising ecosystem…. The post Comic: Ghost Ad appeared first on AdExchanger.

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7 common problems that derail A/B/n email testing success

Martech

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.