Narrator supports multi-step funnel conversion rates in dataset.
Funnel analyses are crucial to understanding how your users are progressing through your product or sales funnel. Often times, we want to measure a specific sequence of events where the conversion rate between each is conditioned on the fact that they completed all the prior events.
Scatter plots are here!
Ensure your activity stream only includes "real" customers by removing fraudulent, test, and internal users automatically.
We've improved Customer Journey, making it easier to quickly explore customer behaviors over time. You can check out the new improvements yourself from the customer journey page, by clicking the person icon the side menu.
Activity transformations are getting simpler!
By default, Narrator uses the last 3 months of data to run the validation tests.
Category tags are helpful to keep your activities and datasets organized. Now, you can customize the color-coding for each category to align with your organization structure.
If you've ever run into an error running an analysis, you know it can be a frustrating process. Usually the error is due to the analysis not having enough data or not enough variation across features.
Narrator now supports anomaly detection on transformation processing. You can get automatically notified and (optionally) pause processing before your activity transformation makes an anomalous update.
Now all columns (both feature columns and enrichment columns) are available to search in activity drop downs to help you find the data you need much more quickly.