Customer Lifetime Value (CLV)
The advantages of utilizing Customer Lifetime Value include better customer relationships, more effective marketing and more accurate metrics.
What is Customer Lifetime Value?
Customer lifetime value (CLV or customer LTV) is the predicted sum total of all future revenues (or profits) that a particular customer will generate for a business. Using accurate estimates of CLV as the basis for marketing decisions will maximize the company’s revenues (or profits). The catch is that calculating accurate predictions of customer LTV is a significant challenge.
The Advantages of Utilizing Customer Lifetime Value
It is easy to always focus on the present, but this is often not the best way to tap into the full potential value of each customer. For example, looking at conversion rates and first purchases while ignoring the long-term value of customers may lead marketers to invest resources in acquiring “cheap” customers with low total revenue value, instead of paying more to acquire customers which will continue to deliver a steady stream of income for years to come. Likewise, marketers and retention experts should focus resources on nurturing customer relationships with those customers who will continue to be a source of substantial revenue over the long term, while conserving resources which would be wasted on low-value customers.
When a company has a reliable means of predicting CLV, it will be possible to better manage customer relationships, maximize the effectiveness of marketing and retention actions, optimize the resources invested in retaining each customer and better attain accurate customer metrics.
In brief, the goal of using CLV is to focus on finding, nurturing and retaining those customers which create the most value for the company over the long term.
How CLV is Used in Marketing
Calculating and analyzing customer lifetime value (CLV) helps you understand existing and potential customers to decide if your current retention and acquisition strategies are the most effective. By measuring and analyzing CLV, you can increase your product’s value to potential customers and encourage existing customers to remain engaged.
Combining CLV and artificial intelligence (AI) makes it easier to calculate a customer’s CLV and understand how to improve the customer’s value. AI allows marketers to calculate and analyze large amounts of data, helping marketers implement marketing campaigns that maximize a customer’s lifetime value. AI technology helps analyze a large amount of data to determine the best marketing campaign to get the most value out of each individual customer. Incorporating AI in CLV measurements helps you calculate and predict CLV, giving marketers more time to create and implement marketing strategies to capitalize on valuable customers and raise the value of the less valuable ones.
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The Difficulty in Predicting Customer Lifetime Value
Calculating customer lifetime value (CLV) requires accurate estimates of future events and is therefore very challenging. It is difficult to predict parameters such as how long a customer will remain engaged with a company and how much the customer will spend in each time period, especially when the customer is new. Further compounding the challenge is the fact that the data required to perform the calculations may be hidden deeply within multiple databases.
Some simplistic approaches try to lump customers into logical groupings such as: all customers who came from a particular source, who live in a particular location or who bought a particular product/service. More sophisticated approaches attempt to use well-known statistical techniques to try predict the future, such as linear regression or Bayesian probabilistic models. However, all of these have large (or huge!) margins of error and therefore present a very risky basis when used for important marketing decisions.
If you want to forecast customer lifetime value yourself (without using a sophisticated application as described in the next section), check out our blog post on how to calculate customer lifetime value using Excel.
The Optimove Approach to Calculating Customer Lifetime Value
At the core of Optimove’s ability to accurately predict the most effective marketing actions for each customer is a unique method of calculating Customer Lifetime Value for each new (and existing) customer. The customer LTV forecasting technology built into Optimove is based on advanced academic research and was further developed and improved over a number of years by a team of first-rate PhDs and software developers. This method is battle-tested and proven as an accurate and effective approach in a wide range of industries and customer scenarios.
Optimove’s approach to forecasting CLV combines ongoing dynamic micro-segmentation and a predictive behavior modeling system. By intelligently segmenting the entire customer base into very granular, homogeneous groups (based on customer activity, transactions and demographics), it becomes possible to analyze and predict customer behavior and lifetime value to a high degree of accuracy.
Take Advantage of the World’s Most Advanced Customer Lifetime Value Forecasting Technology
Contact us today – or request a Web demo – to learn how you can use Optimove’s Customer Lifetime Value technology to easily optimize your marketing actions in order to convert more customers, increase the spend of existing customers and reduce customer churn.
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