Predict and prevent customer churn to keep your existing customers satisfied and have a steady revenue stream
The retail industry survives on the customers it has. The profit of a retail store is usually defined by the overall sale it does in a given duration of time. Sometimes, in that particular time frame, a retailer may gain or lose a customer to its competitors. Gaining is always a plus for the business, however, losing a customer leads to customer churn.
Customer churn occurs when a customer stops using a retailer’s product, stops visiting a particular retail store, switch to lower-tier experience or switch to competitor’s products. Retailers need a sure-shot strategy to manage customer churn. Measuring the churn rate is quite crucial for retail businesses as the metric reflects customer response towards the product, service, price and competition. Customer churn minimizes the profit quotient of the business and may result in negative marketing of the brand/store.
In today’s fiercely competitive market, everything depends on the data that is generated during a process. But, how can this data actually help a retailer to retain the customers? With recent advances in artificial intelligence applications, companies are now capable of better predicting customer churn and take proactive steps to prevent it. This is where our data intelligence and analytics services comes in handy.
We offer the much needed insight to lower down the churn ratio for a retail store. The platform can capture, analyze and visually represent the data whilst providing concrete predictions based on the pattern of purchase, number of revisits and amount of purchase done by a customer.
With insights provided by our data analytics, a retailer can focus on their marketing efforts and sales strategies that can help in gaining a competitive edge with a lowered customer churn ratio. Knowing customer behavior will help retailers to predict future purchases, so they can always keep those products in stock and deliver quickly to keep your customers happy and satisfied.