Companies across industries spend most of their resources, time, and efforts on customer acquisition, despite knowing the fact that the cost of retaining an existing customer is much lower than acquiring a new one. Therefore, customer retention should be the top priority for companies. Also, for companies analyzing factors responsible for customer churn and estimating the risk associated with individual customers are both important components that help in devising a data-driven customer retention strategy. Customer churn analysis acts as a key to bring these elements together and offers insights that drive smart decision making across an organization.
Banks, telecom companies, insurance firms, and energy services companies are some of the businesses that often use customer churn analysis as one of their key business strategies. With the rise of businesses based on recurring revenue models, customer churn has become an important business metric for almost all companies.
Are you finding it difficult to build a predictive customer churn model? Churn analytics solutions may hold the key to success. Get in touch with our experts to know more.
Here are a few important reasons that make customer churn analysis important:
- Customer churn analysis prevents revenue loss by saving extra costs in marketing and re-acquisition
- The probability of selling to an existing customer is a lot higher than to a new prospect
- Measuring the customer churn rate helps in calculating the customer lifetime value
- Customer churn analysis helps in measuring the company’s health and long-term prospects
- Customer churn analysis examines the rate of improvement in customer retention
- Helps to identify customers segments that are best suited for your products or services
Steps to Enhance Your Approach To Customer Churn Analysis
Step #1: Calculate Basic Churn Rate
The first step in customer churn analysis is to calculate the customer churn rate. There are several ways to calculate the churn rate. Customer analytics tools can help in calculating the churn rate directly in real-time. This calculation not only helps in getting the quantitative metric of churn rate but can actually visualize it through the customer journey, understanding precisely the factors that lead to customer churn. Churn rate can be analyzed properly by understanding churn, which is of three types short-term, mid-term, and long-term. This duration is nothing, but the time period customers have been active before they decide to discontinue and cancel the service. To keep your customers engaged for the long-term, you need to reinforce the core value of your product or service consistently.
Customer acquisition management is a daunting task for companies. But our customer analytics solutions can help. Request a free proposal to know more about our portfolio of services.
Step #2: Identify At-Risk Customers to Reduce Churn
Prevention is always better than cure, don’t you agree? Some customer segments, and more importantly, some customer behaviors predict churn more clearly than others. Customer churn analysis helps to identify these behaviors efficiently in real-time. This further helps in adopting measures to make these at-risk customers stay. Companies are leveraging customer analytics solutions like customer churn analysis that helps them enhance their ability to identify at-risk customers and thereby reduce customer churn rate. Additionally, customer churn analysis offers a data-driven understanding of customer preferences and helps to find the best way to reduce friction in specific situations. Furthermore, this can help companies to easily prioritize opportunities for improvement.
Step #3: Focus on the Entire Customer Journey
Customer churn analysis can provide optimum results only when the complete customer journey and experience have been analyzed well. Different customers have different experiences, and customer analytics solutions can help you visualize each of them, the various touchpoints encountered, and the actions that are taken from there. If you do not analyze the entire customer journey and only focus on the last interaction, it can result in deriving inaccurate and misleading conclusions, which will do nothing to stem the tide of leaving customers. Customer churn analysis can pinpoint the drivers of customer satisfaction in a way that traditional analytics solutions cannot. By analyzing and quantifying what matters most to customers, companies can consistently provide better customer experience and measure their impact on customer churn rate.
Our customized analytics dashboards help companies to devise better customer acquisition strategies. Request a free demo below to gain better insights.
Step #4: Discover Your Most Profitable Customers and Focus on Retaining Them
All customers are not equal, and while you may want to retain all, resources are not unlimited. So, you need to shift your focus on the most profitable ones first. The customer analytics solution plays a big role in this endeavor by providing a quantitative and detailed picture of the entire customer journey. It helps in customer churn analysis by interpreting how customers interacted with the product and the problems they faced at every step along the journey. Using customer churn models, companies can group their customers into segments defined by a readiness to leave, profitability, and their response to offers. This can further help in reducing customer churn rate significantly.
Step #5: Engage With Your Customers at Optimal Times
Companies have the tendency to communicate with customers when they either want to upsell or when the customer is breathing fire. But for better customer churn analysis, companies can use several other techniques, as suggested below, to proactively and consistently interact with their customers:
- Satisfaction survey – Companies can conduct short, open-ended customer surveys that let customers voice their opinions in a convenient and easy manner.
- Social media – Customers spend most of their time on social channels. So, companies can use different social media channels to analyze their opinion and response to their product and brands.
- Feedback bar – Companies can incorporate a feedback bar into products and mobile apps, so that it becomes easy for customers to ask questions, comment on product’s features, and give their feedback.