vlad malik

Write rich headlines 1 week ago

Headlines should speak for themselves

Your top-level headline tells search engines what your site is about. It’s often the first thing visitors see, so get your message in there. Don’t be afraid to use more words.

This original home page of helpthechickens.ca simply restated the URL:

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I suggested they take text from their intro paragraph and turn that into the headline:

 

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Avoid one-word headlines that say nothing. Here’s another example:

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5 ways to calculate confidence in A/B test results using JavaScript 4 weeks ago

Example

B did better than Basline this time, but what if we tested again? How trustworthy is this result?

abstats.js is a small library that gives you 5 ways to answer this question. You need no programming skills to use it. It’s available on this page, so open up browser console and run any of the examples in this article.

Way #1: Estimate the true conversion rates

With abstats.js, I can easily get 95% confidence intervals for each variation:

interval_binary(100, 2000, 0.95) // returns {upper=0.0605, point=0.0509, lower=0.0413}
interval_binary(130, 2100, 0.95) // returns {upper=0.0731, point=0.0628, lower=0.0524}

This gives me the point estimate and the margin of error for A and B:

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This says that my best estimates for the true conversion rates are Basline = 5.2% and B = 6.2%. Nonetheless, A could be as high as 6%, while B could be as low as 5.2%. So, it’s plausible that B is actually worse than A but performed better just by chance. How likely is that to happen?

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I Have An A/B Test Winner, So Why Can’t I See The Lift? 1 month ago

In the town of Perfectville, a company ran a winning A/B test with a 20% lift. A few weeks after implementing the winner, they checked their daily conversions data:

 

graph-perfectville

97 days of daily conversion rates in Perfectville showing 20% lift

 

The graph perfectly related what happened: The baseline increased by 10% during the test, with half the traffic exposed to the winning variation. Then was the week when the test was stopped, followed by a lift of 20% once the winner was implemented.

The good people in nearby Realville heard about this and ran the test on their site. When they later checked their daily conversions data, they scratched their heads (as they often do in Realville):

 

graph-realville

97 days of daily conversion rates in Realville showing same improvement

 

The data actually includes the same 10% lift during the test, a gap, and a final 20% improvement. The problem is the improvement is relative to natural fluctuations in daily conversion rates, so 20% improvement doesn’t necessarily mean 20% lift.

Here are 6 reasons why people in Realville might find it difficult to see a lift and what they can do about it.

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@VladMalik is an interaction designer based in Toronto