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AnalyticsAugust 23, 20264 min read

The three ways analytics mislead you

The numbers are accurate. The story people build from them usually is not, and the same three mistakes make almost all of it.

Nothing in a dashboard is lying. The misreading happens between the number and the conclusion, and it happens the same three ways every time.

One: reading noise as a trend

A post did three times better than usual. That is one observation. Two more like it is a pattern; one is weather. Most content strategy changes are made on a single data point in a mood.

Twelve postsThe outlier
Twelve posts. One of them is not a lesson.

Two: comparing periods that are not comparable

This month against last month, when last month had a holiday, a launch and eleven posts against this month's six. The comparison needs the same length, the same posting rate and no unusual event, or it is comparing two different questions.

Three: measuring what is easy

Impressions are always available, so they get reported. They count the same person twice and reward nothing. The measures that matter — saves, shares, follows from a post — take one more click, which is why they show up in fewer reports.

Before opening the dashboard, write down the question. Numbers looked at without a question produce a story, and the story is always about whatever happened to be highest.

Stop watching the clock. Start drifting.

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