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Anvil Analytics + Insights works to bring data-driven decision making to all of their work, including optimized paid media campaigns. They used Community Visualizations to build their own Chi-Square statistical analyzer.
Several Anvil customers noticed that channels in Google Ads and Analytics converted at different rates, and wanted to know if the variance in conversion rates was statistically significant.
Prior to using Community Visualizations, the Anvil Insights team manually exported the data out of Google Analytics into a separate tool, then ran the statistical analysis. Depending on where Anvil ran the analysis, the results were either stored separately from their reports, or not stored at all. Every time they wanted to test a different hypothesis or run a different variation of the test, they had to repeat the same time-intensive process.
In order to speed up hypothesis testing and integrate the tests and results into Data Studio reports, Anvil used Data Studio Community Visualizations and built a Chi-Square calculator within a week.
Anvil’s calculator takes in data, just like any Data Studio chart. Once the calculation is complete, the analyzer presents the statistical significance, and either calls the viewer’s attention to a relationship in the data, or comments that there was nothing of note in the data. Now, all it takes to test new hypotheses is switching out the data for the component, just like you would for any other Data Studio chart. See it live.
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