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Reminder – Google Optimize sunsets this weekend

Search Engine Land

However, you will still be able to run A/B tests in Google Analytics 4. Moving forward, you will need to use GA4 to conduct A/B testing and optimize your website or app’s user experience. The search engine therefore decided to invest in solutions that will be more effective for customers instead. Access your data.

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Google Optimize Sunsetting: What it Means for Advertisers

Bannerflow

Google Optimize, a powerful tool for website optimization and A/B testing, has long been a go-to solution for advertisers seeking to enhance their online marketing strategies. What happens to all of those tests you’ve built? How do you maintain access to all the data that’s accumulated through your variety of tests?

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How to Get Useful Data From Losing and Inconclusive A/B Tests

Neil Patel

A/B testing is crucial to developing a robust digital marketing strategy. However, not all tests result in valuable data. Or what if your test results are inconclusive? There’s a ton you can do with inconclusive or losing A/B testing data. Why A/B Testing Is Crucial to Digital Marketing Success.

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How to calculate sample size of a/b tests and validate results

Welcome Software

Building a culture of experimentation has the potential to simplify your customer experiences and increase conversions. For instance, you need an adequate sample size to run a test. Next, it is time to run these tests for a period long enough to get statistically significant results. This is where a stats engine can help you.

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How Using the Right MarTech Tools Can Help Drive Sales

Marketing Insider Group

Using a variety of MarTech tools for specific incremental improvements can conclude with revenue uplift. It involves a lot of testing and experimenting to understand how different tools drive sales. According to a study by retail media platform Criteo, retargeting accounted for a 43% uplift in conversion rates for its customers.

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Metrics: How to supercharge your experimentation program

Welcome Software

Experimentation can be pretty…well, testing at times. For example, would you rather have tests that win 10% of the time but deliver a million-dollar uplift? Or tests that win 50% of the time but only deliver $100 in additional revenues? Image: Median companies run 34 tests a year. More tests = more value.

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Metrics: How to supercharge your experimentation program

Welcome Software

Experimentation can be pretty…well, testing at times. For example, would you rather have tests that win 10% of the time but deliver a million-dollar uplift? Or tests that win 50% of the time but only deliver $100 in additional revenues? Image: Median companies run 34 tests a year. More tests = more value.