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What Is Split Testing? Best Split Testing Tools and Strategies

Optinmonster

That’s where split testing, or A/B testing, comes into play. Split testing is a powerful tool that can significantly improve your digital marketing strategy, but it’s often overlooked or misunderstood. In this article, we’ll cover everything related to split testing, sharing insights, and best practices.

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Upleveling A/B Testing with AI for Conversion Optimization

FunnelEnvy

The challenge in our digital age is that traditional A/B testing methods are slow, resource-intensive, and miss hidden opportunities. Click To Tweet Since the early days of digital marketing, one common way to improve on-page conversions has been A/B testing. What is A/B Testing? Limited scope.

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A Primer on Statistical Significance in A/B Testing (And The Biggest Misconceptions Around It)?

Convert

Is your A/B test taking too long to hit 95% statistical significance? For your A/B test to give you the real answers you’re looking for, you’re going to need to flex some stats muscles. If in your test, B beat A and the result showed a weak stat sig, rerunning the test may show a different result.

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Fundamentals of Product Experimentation for Beginners

Convert

It’s a tool for testing and improving your product while you continuously develop it. Tech giants like Booking.com, Netflix, Meta, Google, Microsoft, and Amazon have been testing hypotheses to enhance their products and services for decades. Nowadays, they conduct up to 10,000 tests each year.

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How to Elevate Your Conversions with Landing Page Testing

ConvertKit

Think about the last time you created a landing page. One landing page, to go—hold the pickles. I'll take a wild guess and say you likely chose what should be on your page based on what you thought your audience needed. It's easy to create a landing page and then forget about improving it over time.

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Marketer of the Month Podcast – The Logistics of Revenue Driven, Quality Focused and Automated Marketing with WordPress.com’s Director of Growth

Outgrow

And then all the experimentation methodologies, like following the right, like hypothesis, figuring out like what should be your tests, how long you should run it for what your sample size should be to hit 90ish percent significance. Do we revert that to another landing page? So that’s the same in B2B and B2C.

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Data-Driven Marketing: How to Effectively Use Data in Your B2B Marketing Strategy

B2B Digital Marketer

So if they’re already busy building campaigns and running AB tests and writing copy and all those things, but they’re not quite sure if this is where they should be spending their efforts, right. You have numbers like landing page conversions and clicks on ads and things like that. Should we not do this?