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How to analyze churn data and make data-driven decisions
The importance of customer feedback
How to improve customer experience
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 the data into digestible amounts.
Multivariate testing puts a lot more on your plate at once: but it shouldn’t necessarily be avoided. If you have the right procedures in place to handle the extra workload, then go ahead – but if you want a more simplistic approach: one A/B test at a time is just fine.
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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...
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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.
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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 already i...
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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:
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Psychiatrist Edward M. Hallowell describes multitasking as a “mythical activity in which people believe they can perform two or more tasks simultaneously as effectively as one.”
When people attempt to apply themselves to too many tasks at a time, they are usually unsuccessful....
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