Job Tracking ROI 
Calculator

Reaching out to champions who change jobs is impactful. Don’t wait on apps to update — see how much revenue Champion can add to your pipeline through job tracking notifications and analytics.

Slide to see champion's impact
Average Annual Contract (ACV)
$0
$500,000
Total Users
0
1,000,000
Average Net Promoter Score (NPS)
-100
100
Estimated Leads
15,000

We estimate 15% of your users will change jobs this year.

Estimated SQLs (Meetings Booked)
1,800

Based on 9% of leads scheduling meetings with you, which varies by NPS.

Pipeline
$562,500,000
Revenue
$9,500,000
We'll track your first 20 champions for free.
Reach out to get started.

Why Track Your Champions?

Some stats to consider. The Dept. of Labor Statistics confirms that 30% of the American workforce changes jobs each year. Beyond that, software users are 3x more likely to buy from previously used vendors if contacted after switching jobs. And, finally, if selling top-down, note that newly hired executives spend 70% of their budget in their first 100 days on the job.

Tracking and following your champions can add millions to your pipeline. We built our calculator to show just how much pipeline Champion can generate for you.

Identifying your champions is step one for building a real advocacy strategy. We'll track your first 20 champions for free — reach out to get started.

Questions and Answers

What inputs do you use to calculate the impact of tracking job changes?
The inputs in our calculator include: Annual Contract Value (ACV), which is defined as the total value of a customer's contract into an average value per year. For example, a $1 million, 10-year contract would have an ACV equal to $100,000 per year. Total Users, which is the total number of users who are using your product or service. Net Promoter Score (NPS), which is a metric used in customer experience programs. Your NPS score can be anywhere from -100 to 100.
How are you calculating “estimated leads”?
We estimate that 15% of users change jobs every year.
How are you calculating “estimated SQLs”?
We assume that 9% of leads book sales meetings, and adjust that percentage further based on the NPS input.
How are you calculating the sales metrics?
Each output is calculated using the inputs (ACV, Totally Users, NPS) provided.
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