Predict the value of your customers
Dive deep into the heart of your customer data to unveil not just how often your customers make purchases, but also how much they're likely to spend. These powerful models allow us to accurately predict future buying behavior, enabling personalized marketing strategies that resonate with each customer's unique buying journey. Optimize your marketing spend, enhance customer engagement, cluster customers and drive increased profitability by focusing on the most valuable customers.
Upload your customer data and specify important columns like Customer ID, Invoice Date, Total Price etc. You can upload a CSV file from your device. Our tool supports all popular CSV formats.
Our AI model automatically analyzes your customer data and generates the Customer Lifetime Value for each customer through advanced modelling techniques like Beta Geometric NBD, Pareto/NBD, Gamma-Gamma fitter etc.
After generating the CLTV, churn probability, clusters etc for your customers, download your data and you're done! You can also save your data in the Atlassoft App by creating an account.
Our advanced Customer Lifetime Value (CLTV) computation models, stand at the forefront of predictive analytics in the marketing domain. These models delve into the intricacies of customer behavior to provide a multifaceted understanding of the customer lifecycle. The Beta Geo Fitter model excels in predicting the likelihood of future purchases within a given time frame. By analyzing past purchase patterns and frequency, it estimates the probability of a customer making another purchase, enabling businesses to forecast sales and personalize marketing efforts more effectively. Complementing this, the Gamma Gamma Fitter model focuses on the monetary aspect of customer transactions. It assesses the spending behavior of customers, allowing for the estimation of the average transaction value for future purchases. This model is particularly effective when combined with the Beta Geo model, as it offers a comprehensive view of both the frequency and monetary value of future transactions, integral for calculating the CLTV.
Together, these models provide invaluable insights into customer churn probability, identifying customers at risk of leaving and enabling targeted interventions to retain them. By understanding the dynamics of customer interactions and spending, businesses can optimize their strategies to enhance customer loyalty, maximize revenue, and drive sustainable growth. Our approach not only quantifies the expected number of future transactions and the anticipated spending but also sheds light on the overall health of the customer relationship. This dual-model strategy equips businesses with the tools necessary to make informed decisions, tailor customer experiences, and ultimately, secure a competitive edge in the market.
Want to unlock even more features to handle your retail use cases like a pro? With Atlassoft Pro, you can access advanced features and unlock more use cases like product detection, image analysis, computing Customer Lifetime value, Churn Probability and more.
