Customer lifetime value

Definition and Importance of Customer Lifetime Value - Customer lifetime value (CLV) is a measure of the net profit contributed by a customer over their entire relationship with a company. - CLV encourages firms to prioritize long-term customer relationships over short-term profits. - CLV represents the upper limit on spending to acquire new customers. - CLV is important in calculating the payback of advertising spent in marketing mix modeling. - The term 'customer lifetime value' was first mentioned in the book 'Database Marketing' in 1988. - The purpose of CLV is to assess the financial value of each customer. - CLV differs from customer profitability (CP) as it looks forward and measures the future value of a customer relationship. - Quantifying CLV involves forecasting future activity, making it more difficult to quantify than CP. - CLV is calculated by determining the present value of future cash flows attributed to the customer relationship. - CLV can be used for customer segmentation to identify the most profitable group of customers. Construction and Methodology of Customer Lifetime Value - The formula to calculate CLV when margins and retention rates are constant is: CLV = Margin * (Retention Rate / (1 + Discount Rate - Retention Rate)). - The CLV model treats customer relationships as a leaky bucket, with a fraction of customers leaving each period. - The CLV model has three parameters: constant margin, constant retention probability, and discount rate. - The model assumes that if a customer is not retained, they are lost for good. - CLV is a multiple of the margin and represents the present value of the expected length of the customer relationship. - A simple formula for calculating CLV is: (Avg Monthly Revenue per Customer * Gross Margin per Customer) / Monthly Churn Rate. - The numerator represents the average monthly profit per customer, and the denominator accounts for the chance of the customer remaining in future months. - CLV calculation involves forecasting remaining customer lifetime, future revenues, costs, and calculating the net present value. - Forecasting accuracy and tracking customers over time can impact CLV calculation. - Retention models use inputs such as churn rate and retention rate to estimate CLV. Applications of Customer Lifetime Value - CLV metrics are commonly used in relationship-focused businesses with customer contracts. - Industries such as banking, insurance, telecommunications, and business-to-business sectors utilize CLV. - CLV principles can be extended to transactions-focused categories like consumer packaged goods. - Retention has a significant impact on CLV, as low retention rates result in minimal increase in CLV over time. - CLV-based segmentation combined with a share of wallet (SOW) model can help identify high CLV but low SOW customers for targeted marketing. Uses and Advantages of Customer Lifetime Value - CLV represents the monetary worth of each customer and helps determine how much a marketing department should spend to acquire each customer. - It is used to judge the appropriateness of customer acquisition costs. - CLV is used to calculate customer equity. - It helps in managing customer relationships as an asset. - CLV allows monitoring the impact of management strategies and marketing investments on customer asset value. - Helps determine the optimal level of investments in marketing and sales activities. - Encourages marketers to focus on the long-term value of customers. - Enables implementation of sensitivity analysis to determine the impact of spending extra money on each customer. - Facilitates optimal allocation of limited resources for marketing activities. - Provides a basis for selecting customers and decision-making regarding customer-specific communication strategies. Misuses and Dynamic Nature of Customer Lifetime Value - CLV predictions using nominal figures can be biased slightly high. - Total revenue should not be used to calculate CLV; net profit is the correct measure. - CLV predictions may be inaccurate due to missing data on major drivers of customer value. - Omitted predictors can cause inaccuracies in certain customer segments. - CLV models may overvalue current customers at the expense of potential customers. - CLV is a dynamic concept and not a static model. - It takes into account the potential for marketing to change customer behavior. - Effective marketing can turn low-value customers into high-value customers. - CLV models should consider a larger number of middle-value customers. - Survey data can be used to collect information on potential customers.