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Measuring marketing incrementality: Best of the MarTechBot

Martech

By dividing your audience into two groups — one that receives the marketing intervention (treatment group) and one that does not (control group) — you can directly compare the sales or conversions between the two groups. KPIs: Sales lift: Difference in sales between the treatment and control groups.

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How does conversion lift testing work, and which ad platforms offer it?

Martech

How conversion lift testing works Test and control groups The core of conversion lift testing involves dividing the target audience into two groups: a test group that is exposed to the marketing campaign and a control group that is not.

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How to Build Cookieless Retargeting Strategies That Work

Single Grain

This is a complete reimagining of how we connect with audiences. Unlike third-party cookies that track users across the web, first-party data comes directly from your audience’s interactions with your brand. With this system, all audience data is transferred to your ad platform.

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Intro to Incrementality Series: Part 3

Digital Remedy

In Part 1 of our Intro to Incrementality series , we covered the fundamentals-measuring incremental lift by comparing test (exposed) and control (holdout) groups. In Part 2 , we explored how to create accurate control groups using ghost bidding to eliminate bias and avoid skewing incrementality analysis.

CPA 59
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ROAS Masterclass: 12 Techniques to Maximize Ad Spend

Single Grain

Advanced audience segmentation can improve ROAS by up to 30% through more relevant targeting. This metric can help advertisers look into their campaign efficiency, if theyre reaching the right audience, and if their ads are boosting conversions. The global digital advertising market is growing at 14.7%

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5 Smarter Ways to Stretch Your Ad Dollars

PubMatic

Our Connect platform enhances this approach by letting buyers access curated inventory enriched with 190 valuable data sets, including first-party and commerce-driven audience segments, directly at the publisher level. Optimize Smarter with Advanced Bidding Strategies Not all impressions, or audiences, are created equal. The result?

ROI 59
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The Science Behind Effective LinkedIn ABM: A Data-Driven Approach

Single Grain

Step 2: Scientific Audience Development Beyond account selection, scientific LinkedIn ABM requires data-driven audience development. Controlled experiments : Use test and control groups to measure incremental impact. Expose the test group to LinkedIn ABM campaigns while withholding from the control group.