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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. Provides clear data on what drives engagement and conversions.

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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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AI-powered martech releases and news: April 18

Martech

Now, here are this week’s AI-powered martech releases and news: Overcast HQ added AI-powered automated video metadata tagging and conversational search capabilities. Button’s Button for Publishers uses AI to maximize publisher revenue from commerce partnerships by identifying the best path to conversion. User beware!

MarTech 107
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In-Store Retail Media Strategies Reimagined with Paul Brenner From Vibenomics

Ad Monsters

Our conversation also explored advanced data targeting methods to understand shopper behavior and outline strategies for measuring the success of DOOH and in-store campaigns. Instead, retail media, shopper marketing, and category planning merge into a single, integrated conversation.

Retail 111
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Frequency testing: The key to unlocking more email revenue

Martech

The results showed them that unsubscribes went up a fraction while open, click and conversion rates went down a percentage point or two. We set up our control and variant and established a study period and success metrics The control was the current frequency schedule which sent two campaigns a month.

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Using search and email to recognize customer intent

Martech

The full conversion experience happens on the website. Set up a control group. Did the test group show a lift over the control group? Growing and recognizing intent, messaging and acting on intent – are critically important for email marketers. Email’s job is to qualify and action intent in email.

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

Martech

Using the wrong conversion calculation. When you do a standard A/B split test on a website landing page, you often use “transactions/web sessions” as your conversion calculation to see how well the page is converting. This relates to the customer‘s journey and the test’s objective. Testing without statistical significance.