The People Removed from the Cadence chart inside Step Analytics highlights the steps when People are being removed from the Cadence and the reason they were removed. 

The chart will help answer where are people most likely to leave the cadence.

To help you interpret the data being shown, we've prepared types of charts to teach you how to read them.

Best Case Scenario

The ideal state of your People removed from the Cadence chart is to see fewer and fewer People remaining in the cadence. The chart should look like 1/2 of a sideways funnel (or a backwards hockey stick).

As you progress through the Cadence, People are removed for good or bad reasons (replied to an email would be good, while marked as DNC would be bad). Either way, the removal is good because your Cadence is working to pinpoint communication. When a Person is removed, you can create a different process for next steps based on the reason they were removed.

No People Removed

When no People are removed from the Cadence, the chart will be blank. Honestly, it will look like it's broken or your data is not appearing.

You may think that having zero People removed is a positive, but it's actually a point of concern. If People are not being removed from the Cadence, it's unclear what actions you should take next. 

Conclusion: Have a talk with your team or manager about when the appropriate time is to remove someone from a Cadence. You can start with Cadence settings that will remove People or manually remove People to help you understand the process. 

Skipped Steps

If the Cadence has an unusual amount of skipped steps, the chart will show consecutive steps with no People being removed.

In the example below, see how there is no change from steps 5 through 8. In an ideal Cadence, every step should have fewer and fewer people in the Cadence.

Conclusion: Review those steps that are being skipped and why. If you are skipping because those steps don't work or can't be performed, it may be time for a new Cadence that doesn't include those steps. 

High Bounce

A high bounce removal chart will be obvious from the large amount of bounces in the first email step.

This chart could mean that your team is using bad data when sourcing email addresses. Not all data providers are equal, and the source matters and varies tremendously based on industry, vertical, segment (comm/ent), etc.

Conclusion: Do your research prior to sending out emails in a Cadence. Use an email validator to get an idea of the status of the email address. 

Automation Rule

A high number of removals when you are using or trying automation rules most likely means something is firing incorrectly this is what it could look like.

Conclusion: Get ahead of this as soon as possible. Reach out to a team admin who can view your Automation Rule logs for failures. Then follow the Automation Troubleshooting Guide to solve any problems. 

Manual Removal

A high number of manual removals probably mean your Cadence process is not best for you or it's ineffective. You will notice multiple steps with a a large amount of manual removals when this is happening. 
 

Conclusion: If manual removals are happening more than any other kind of removal, it is most likely time to have a talk between manager and rep. The best case scenario, is that the manager can coach the rep to execute the process better. While the worst case scenario would be a rep removing People because they added too many People and can't manage the Cadence.