Statistics on search within WordPress plugin directory

One of the things I said was important in my WordSesh talk on the future of WordPress was better access to data. Well, Greg Ichneumon Brown has posted a gold mine in an update regarding the new WordPress plugin directory design, which is in active beta.

The beta version of the upcoming plugin directory has a very prominent search bar, so Greg collected 53 days worth of anonymized search data (non-API driven data) from the current (non-beta) directory to see how folks are actually using WordPress plugin search.

His analysis focuses on half a million unique searches in American English (en_US locale), which account for almost 4 million total searches. In all languages, there were ~800,000 unique searches and ~5 million total searches. I made a little chart to visualize this, which shows — as Greg concluded — that the most popular search terms really doesn’t make up a satisfactory percentage of overall search activity:

Screen Shot 2016-09-07 at 10.41.46 PM

Also noteworthy,Β only 8% of searches were unique (made once during the trial), but 32% of terms only occurred once per day in the 53 day trial.

For people, myself included, who were in favor of a visual tag filtering system, this chart makes it clear that even if you have a thousand tags, that still doesn’t cover half of all searches. So a fuzzier searching system may well be preferable.

Greg gave his own takeaway from the data:

Hopefully from this data it is clear why we can’t just focus on the top 100 queries. Doing so ignores probably 75% of our users. Even top 1000 is less than 50% of all searches. So in testing out our search quality at the very least we should look at top 1000. Ideally we’ll also do some random sampling of the other 50% of searches and find ways to address spelling mistakes and other edge cases that affect a very large percentage of users. Similarly, adding better support for non-English languages could help as many users as improving the top 100 queries.

This data is fascinating, constructive, and super helpful for determining a path forward for what will make a better system to find plugins on Huge thanks to Greg, and Automattic for sponsoring his time (he’s a data wrangler there) to do this experiment.

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