A/B Testing: Definition & How it Works - Deepstash

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A/B Testing: Definition & How it Works

A/B Testing: Definition & How it Works

A/B testing is used to find the best marketing strategies. It is be used to test everything from website copy to sales emails. This allows you to find the best-performing version of your campaign before spending your entire budget on one that don’t work. 

While A/B testing is time-consuming, its advantages are enough to offset the time investment. Proper A/B tests make a huge difference in the effectiveness of your campaign. Narrowing down & combining the most effective elements of a campaign creates a higher return on investment, lower risk of failure, & a stronger marketing plan.

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MORE IDEAS FROM THE SAME ARTICLE

  • When you see what types of content your audience responds to, you gain insight into who your audience is & what they want.
  • A/B tests help to increase conversion rates. Knowing what works gives you data that helps you streamline the conversion pro...

  1. Decide what feature you want to test.
  2. Create two versions of the same ad, landing page, app, etc.
  3. Decide how long your test will run. I suggest at least two weeks, but it may be longer or slightly shorter depending on your traffic and industry.
  4. Choose a testing tool t...

A/B testing is a marketing strategy that pits two different versions of a website, advert, email, popup, or landing page against each other to see which is most effective.

A/B testing works by randomly showing two versions of the same asset (ad, website, pop-up, offer, etc.) to different users. The random part is important because this provides more accurate information without skewing the results. 

One version is the “control” group, or the version alre...

Decide what to test, create two versions, decide on how long to run the test, collect enough data, analyze.

If you’re running an on-site test, you’ll want to think of all the sales-related pieces of your website, and then figure out which elements to split test:

  • headlines

Testing more than one thing at a time, such as headlines and calls to action, is called a multi-variate test, and is more complicated to run. 

You’ll also need to consider how your systems can handle split tests as well as have staff on hand able to analyze multiple results and compile...

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An inconclusive test might mean the numbers are less than a percent off, or neither variation got any traffic at all. When your tests don’t have enough data or if the numbers are too close, they are considered inconclusive or statistically insignificant.

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KI works by using machine learning or AI to insert terms that match users’ search queries to deliver more relevant ads. This allows businesses to del...

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A/B Testing

Over the years, conversion rate optimization (CRO) seems to have become synonymous with A/B testing in the minds of many marketers.

A/B testing is a form of conversion rate optimization. You have a page and you want it to perform better, so you change something and see if it improves your r...

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