Churn rate, also known as customer churn is a crucial parameter for any business’s success.
It measures the rate at which your existing customers are dropping off your products.
We use this formula to calculate it:
Churn Rate = (Number of customers at the beginning of a period - Number of customers at the end of a period) / Number of customers at the beginning of a period
A quickly escalating churn rate is among the worst things that can happen to a new business. It can lead to:
Huge Revenue Loss
Massive Reputation Damage
Increased Customer Acquisition Cost
My client’s situation was also pretty similar…
Here’s the full case study of how I helped them identify at-risk customers and reduce their churn rate by 15%:
Challenge
A fast-growing tech healthcare company was facing its biggest challenge yet:
Escalating Churn Rate
Despite trying their best, they were unable to identify and intervene with at-risk customers before they dropped off their products.
The challenge was clear:
They needed a more sophisticated, data-driven approach to anticipate and manage customer churn.
Action
After we started working together, I started studying the already present systems and processes.
I got some crucial details and with their help, we started developing a predictive churn model.
This model integrated:
Customer behavior metrics + Purchase history + Engagement data
All into a single platform.
After implementation, this model was employed to generate risk scores for each customer, thereby enabling early interventions.
Result
The Salesforce Automation-driven predictive churn model had an immediate and profound impact.
In just one year of implementation, the client observed a 15% reduction in their churn rate.
Moreover, the predictive model successfully flagged 30% of customers who were at risk.
This allowed them to deploy targeted and proactive retention strategies, thus enhancing their customer relations and retention.
Overall, this project was really interesting.
I feel I became better at my job after delivering results for this client.
That’s it for this issue.
If your business needs massive changes and you’re ready for it, book a free consultation call with me: https://calendly.com/jordanqnelson/25min
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Thanks for reading.
Jordan
Love the content, we recently launched NCOA for Salesforce which checks for the National Change of Address database to automatically update customer moves. You'd shocked at how stale data affects outcome, churn included. you can find more at NCOA4sf.com.
Thank you for the continued content. Just an observation I noticed several spelling errors in the article.
‘ thier,’ ‘immidate,’‘targetted ‘
I will start observing how to determine my client’s customer churn.