Product Features Archives

How we use correlation coefficients to detect trends

December 19, 2020 / Lebesgue / Product Features / detection, marketing, online, trend / No Comments

In order to better understand the behavior of the essential metrics in online marketing performance, it is useful to see whether there is a continuous growth or decline of an observed variable over time.

Understanding correlation coefficients through online marketing examples

December 17, 2020 / Lebesgue / Product Features / No Comments

Through this post we will introduce you to the simple mathematical concept – the theory of correlation coefficients. The interpretation and application of this theory allow us to analyze the relationship between variables. We will explain, in detail, some ideas that lie behind the theory.

How to predict your customer’s next purchase?

October 30, 2020 / Lebesgue / Product Features / #product recommendation, cross-sell, customer retention, probability changes, smart customer targeting, upsell / No Comments

Check out how you can use simple calculations to learn a lot about your customer preferences.

The Brains behind Smart Customer Targeting

October 30, 2020 / Lebesgue / Product Features / #neural networks, #next product recommendations, cross selling, data science, deep learning, machine learning, mathematics, MLP, recommendation system, smart upsell / No Comments

Learn how we built a product recommendation system using neural networks.

The Power of Smart Customer Targeting

October 19, 2020 / Lebesgue / Product Features / cross-sell, lifetime value, next purchase, smart customer targeting, upsell / No Comments

Over the years, personalization has become a huge and inevitable part of any e-commerce business. Customers expect your marketing to be personal, so every interaction needs to be tailored to their personality and preferences.

The mathematics behind RAPP’s retention prediction

September 4, 2020 / Lebesgue / Product Features / beta geometric, churn, distributions, math, mathematical modeling, retention prediction, statistics / No Comments

In order to explain how we calculate expected retention and expected customer lifetime value (eCLV) for subscriptions we will take a tour through our imaginary shop named Charlie’s chocolate store.

Customer lifetime value for subscription businesses

September 2, 2020 / Lebesgue / Product Features / CAC, churn, cohort analysis, Customer lifetime value, Growth, LTV, retention, revenue analysis, revenue prediction, subscription / No Comments

Do you have a clear picture of your future earnings and make plans accordingly? We explain why thinking ahead is crucial for subscription businesses.

Digital marketing

retention

How we use correlation coefficients to detect trends

Understanding correlation coefficients through online marketing examples

How to predict your customer’s next purchase?

The Brains behind Smart Customer Targeting

The Power of Smart Customer Targeting

The mathematics behind RAPP’s retention prediction

Customer lifetime value for subscription businesses

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