# What is Event Trends?

Looking at individual spikes often leads to too small of a data set to accurately correlate events to your transactional demand. By doing it at an aggregate level, a data science team will be looking at enough volume of spike days to prove correlations between demand and events.

See [Event Trends in the WebApp](https://docs.predicthq.com/webapp-support/tools/see-event-trends-in-the-webapp). See also the [Features API](https://app.gitbook.com/s/tNhzHETmXsrWeVBndqqJ/getting-started/guides/features-api-guides/increase-accuracy-with-the-features-api) for details about how to get aggregated daily data via the API.

You can also use our [Beam](https://docs.predicthq.com/webapp-support/beam-relevancy-engine) tool to find how event impact your demand.
