Identify, monitor, and execute timely account expansions with real-time reports and indicators.
Proactively identify at-risk customers and prevent churn using automation, early warning insights, and more!
Understand your customers interactions with your product and make informed product success decisions.
Define and track onboarding by phase, user progress, account, and portfolios.
Intelligence-driven, scalable insights for onboarding, adoption, retention, and revenue growth.
Handle this critical component of the post sales customer journey.
We aren’t just any Customer Success platform. We have the insights, imagination, and technology that others don’t.
Get a complete view of your customer and all their moving parts.
Deliver consistent customer experiences and repeatable success.
Create the right scoring system for your organization.
Create alert rules that are flexible.
Manage, analyze, and optimize your customer interactions.
Track your tasks easily by account, product, and outcome categories for better efficiency.
Create dynamic segment across accounts and users.
Drive adoption, upsell and cross-sell using extensive product data.
Automate your actions, alerts, playbooks and more.
Proactively uncover key insights and receive data-driven recommendations for your team.
Transcribe your calls and catch key phrases used by customers to trigger actions.
Improve decision making and actions for enhanced outcomes.
Unlock value from your data with our embedded Business Intelligence solution.
Meet the industry’s first virtual assistant (SIA) designed for customer success and account management.
Our core values, team, and community
Get in touch anytime.
Don’t miss an episode of the Customer Success Intelligence Podcast
Our annual survey captures the current state of CS Intelligence and automation.
Resources for new and seasoned Customer Success teams.
Features and SDKs you can integrate into your apps.
Calculate the potential ROI you could achieve with SmartKarrot CS.
When you know that your revenue is based on a recurring contract – be it monthly or annual, you might as well be aware that every client can put a dent on your cash flow. And that is why high retention score is of huge pertinence for you. Wouldn’t it be nice if there could at…
When you know that your revenue is based on a recurring contract – be it monthly or annual, you might as well be aware that every client can put a dent on your cash flow. And that is why high retention score is of huge pertinence for you.
Wouldn’t it be nice if there could at least be an easy way to predict when and how are your clients going to cancel? Well, that is what churn prediction is all about.
Creating a churn prediction model helps you revamp to radical changes that eventually cut down churn rates. You need to understand how this churn impacts your revenue targets. Only then, will you be able to make predictions on how to manage these issues in the near future.
Let us begin by understanding the types of churn we see in the industry. On one hand, we have a voluntary churn, where the clients choose to cancel their service. There could be several reasons behind it – they could have received a better service provider, the subscription rates could be comparatively low or perhaps a dissatisfied customer experience.
As Judith Soloman rightly puts it, “What we call churn in coverage is a big problem – i.e. people losing and regaining coverage over relatively short periods of time, a great deal of churn occurs at the time renewals of coverage are due but non-payment of premiums can also cause churn.”
While on the other side is the involuntary churn. That happens when a client’s account is canceled when they were not aware or did not intend to do the same. This could happen due to a failed payment system, an expired credit or debit card, or maybe exceeding the limit of available transactions.
Needless to say, customized client retention is vehemently tough considering the time and efforts needed to be spent behind a single client. With that, the costs would be high and could also outweigh the extra revenue.
Nonetheless, if one could predict before-hand which customers are on the verge of unsubscribing, you could cut down the churn rate by directing them solely towards these clients. Hence, we have curated the following points that can help you do churn prediction.
The first step in customer churn prediction is accessing your customer profiles. Every client data point will be useful to create a targeted churn model. Gather as much information you can from the profile. Bits like the employment status, size of team, designation, and more.
Next, start analyzing the spot patterns in the churned out customers, linked to their demographics. Remember, different client types will churn in different manners. Having done that, gather information on more private matters like the billing and purchase history.
You will get a clear-cut picture in your head when you have access to vital information like the date when a client signed up, date when they unsubscribed, and their entire payment history. That is how you will ascertain more about account churn in particular.
For a SaaS company, delve into features like the number of times the client logged in, total time spent on the app, or the actions performed on the app.
Next what you need to do is the extraction of data. Connect your database to bring in exact information required to compute values for each client.
Compare the analysis whether it was a voluntary or an involuntary churn. Also, note that the reasons for a month-old client to a year-old client are way different.
Next, you can rely on prediction tools such as Google Cloud ML Engine through a web interface. Once you have enabled this, the service will automatically make predictions. Or you could take up a mathematical modeling formula, namely the logistic regression. You can use all the customer information, prior churn data, purchase history, and turn it into statistical prediction.
With the end of that, you will be in a position to see the probability of certain account churns. Now you need to formulate a plan, based on these findings to target each of your clients.
Keep track of how it impacts your churn rate over the coming months. Use a decisive retention strategy too for getting the best of customer success.
Now that you have a model to provide you all the requisite information. Now, all that you wish to do is to make predictions on all the customers and see who and who is not at the risk of churning. Also, note that the total time and the churn information will not reside in the database.
With the results, you will not be able to see the predicted results. This will help you collect your data and make vital decisions, needed for the future of your business.
Using the aforementioned tools will demystify the modeling and the retention process. It will give you enough time that you can spend on keeping your clients satisfied and will eventually grow your business.
A lot of SaaS companies take to churn prediction to stay alert in the industry. It is useful in weeding out both the types of churn discussed in the article. The fewer customers you lose to churn, the more is the revenue that you will be able to capture from them.
Aside from that, do not wait till the end of time to use a churn model to predict churn. From the beginning itself, strive to provide a seamless experience to all your clients. Be there for them when they need you. 22
If they are facing some trouble, fix it for them as quickly as possible. They must know that you are there to help them out no matter what. Following the aforementioned practices will generate a huge reduction in account churn, which is much need for any given SaaS.
Kaustubh Sangam is a Customer Success Analyst with 2 years of experience. Committed to delivering exceptional customer experiences and driving business growth. Proficient in leveraging data analysis to optimize customer success strategies.
Published May 28, 2020, Updated June 07, 2023
Master customer churn reduction with expert insights from Elizabeth at...
07 Dec, 2023
Mastering Customer Retention Through Your Churn Management Playbook: A...
10 Oct, 2023
Discover 15 key points to slash churn rates by half in your customer l...
02 Oct, 2023
Sign up for SmartKarrot’s newsletter.
See how SmartKarrot can help you deliverwinning customer outcomes at scale.