Path Report

Path Report

The Kissmetrics Path Report allows you to analyze the most common sequence of property values that eventually lead to a conversion. This lets you uncover what your customers do so that you can see exactly what series lead to more conversions, higher conversion rates, or shorter time to convert.

This report is best used for:

  • discovering the best series of property values that people have that result in a high conversion rate
  • revealing the best marketing channels for acquiring leads and the best marketing channels for converting leads to customers
  • seeing how long customers take to convert based on what they do

Report Configuration

The Path Report lets you analyze:

  • The first 5 values of a property in order that lead to a conversion event
  • The last 5 values of a property in order that lead to a conversion event

Sample configurations for analyzing lead generation and marketing channel effectiveness could be:

  • Show me the last 5 Channels starting with Visited Site that lead to Signed Up within the last 30 days.

Sample configurations for analyzing e-commerce purchase behaviors could be:

  • Show me the first 5 Channels starting with Visited Site that lead to Add To Cart.

Path Report Results

Path Summary

The Path Report will show you up to 15 paths that people have done given your report configuration. A summary area will show you high-level information about:

  • The number of people who were found from your starting event to your conversion event
  • The number of conversions from all paths
  • The conversion rate across all paths
  • How long it took people to convert from starting event to conversion event (using a weighted average)

Sorting the Path Report

Clicking a tab in the summary area lets you sort the Path Report by people, number of conversions, conversion rate, or time to convert. Use these tabs to sort your results based on what fits your marketing strategy. Some businesses care about number of conversions more than conversion rates. Some businesses optimize for shorter conversion times if they are meeting goals or quotas.

Individual Path Performance

Each path will contain a series of numbers followed by a property value. These numbers tell you the order or sequence that the property value happened.

Repeat/Consecutive Property Values

If a property value happens consecutive times before another unique property value, we will show this by adding a 2X, 3X, 4X to the property values to show you how many times the property value happened consecutively.

Time to Convert

The time convert uses a median calculation from the starting event to the conversion event. This lets you view the overall time to convert in the summary as a median of how long people took the convery and a specific time to convert for any individual path. This is important if you are trying to optimize how fast people convert on your site or app.

The Overall Time to Convert metric in the summary area uses a weighted average to calculate the overall time to convert across all paths. This means that if you have one path with 1,000 conversions and a median time of 1 day, and another path with 10 conversions and a median time of 1 hour, the “overall time to convert” would be closer to a day.

What happens when multiple conversions happen within the date range?

When multiple conversions (such as Purchases) happen within the date range you select, the Path Report will show the paths for the first conversion that happens in the date range. We are planning to improve this functionality to allow you select between the first or last conversion within the date range

Why do I get different numbers when I run a first 5 or last 5 report for the same starting and conversion events?

If you are doing a last 5 property report, a person can captured for more than one path because it is likely that people can have common ways of converting (i.e. people all have to go through the same checkout flow in E-Commerce or the same way to enter in your payment information for SaaS).

In the first 5 property, people can be part of likely one path because people usually do a unique sequence of events when they first arrive on your site or app. Because of the differences of people’s behaviors, you’ll see different numbers for each configuration.