Connect Google Trends to Power BI

Enter your search keywords in the Catchr Google Trends connection, separated by commas, and select the period and Geo setting. In Catchr’s Power BI query builder, select Search term, Date and Interest and preview a short extraction. Import the generated URL through Get data > Web in Power BI Desktop. Check the returned rows before building measures, keeping keyword comparison set and normalized interest, which is not search volume clear in the model.

No. Interest is a relative index scaled from 0 to 100 within the selected comparison. A score of 100 marks peak relative interest, not a search count. Do not sum these scores as search volume. Use Google’s explanation of Trends data when interpreting the scale.

Catchr exposes interest over time, geographic interest, related queries and related topics. Build a separate chart for each purpose: Date and Interest for a trend line, location and Region Interest for a map or table, and related-query or topic fields for discovery. These datasets have different row structures, so avoid combining unrelated dimensions in one chart.

Yes, where data is available. Catchr defaults Geo to Worldwide and also supports country-specific selection. Region, DMA and city fields require a country-specific Geo setting. Geographic scores describe relative interest, so equal scores in two places do not imply equal numbers of searches. Check the Geo setting before comparing regional and worldwide reports.

The index is normalized to the selected time and location, and Google Trends uses sampled data. Changing the comparison can change the scale. Keep the keyword, period and geography consistent when validating results, and avoid joining independently normalized periods as if their scores shared one fixed baseline.

A zero can reflect insufficient search activity for Google Trends to report, rather than proof that nobody searched. Check spelling and geography, then try a broader period or a less narrow term. Low-interest queries need cautious interpretation; an isolated spike is not reliable evidence of sustained demand.

Yes. Catchr exposes related-query text and related-topic titles, together with top-interest and rising values. Use them to identify subjects to investigate, then review their relevance to your audience before creating content. Keep top-interest and rising measures separate: their labels describe different rankings, and the values should not be combined into a single total.

Add Google Search Console to the same report and align dates and geography. Trends can provide context for demand while Search Console shows how your site performed. Keep the metrics on separately labelled charts or axes: relative search interest is not the same measure as your site impressions or clicks.