Category Archives: Marketing Analytic

Customer Lifetime Value, Present and Future

Customer lifetime value for a business is the monetary value associated with relationship with a customer, although there have been attempts to include non monetary value associated  with a customer. It’s an important metrics to have for any marketing initiative … Continue reading

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Association Mining with Improved Apriori Algorithm

Association mining solves many real life  problems e.g., frequent items bought together, songs frequently listened together in one session etc. Apriori is a popular algorithm for mining frequent items sets. In this post, we will go over a Hadoop based … Continue reading

Posted in Association Mining, Big Data, Data Mining, Data Science, Hadoop and Map Reduce, Marketing Analytic, Rule Mining | Tagged , , | Leave a comment

Customer Conversion Prediction with Markov Chain Classifier

For on line users, conversion generally refers to the user action that results in some tangible gain for a business e.g., an user opening an account or an user making his or her first purchase. Next to drawing large number … Continue reading

Posted in Big Data, Data Science, Hadoop and Map Reduce, Machine Learning, Marketing Analytic, Predictive Analytic, Statistics | Tagged , , | 4 Comments

Retarget Campaign for Abandoned Shopping Carts with Decision Tree

Research has shown that customers who have abandoned shopping carts, when subjected to retargeting email campaign, often come back and in many cases end up buying more than what was originally in the shopping cart. There are many attributes of such … Continue reading

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Predicting Customer Loyalty Trajectory

Customer loyalty is the strength of the relationship a customer has with a business as manifested by customer purchasing more and at high frequency. There are various signal or events related to a customer’s engagement with a business. Some examples … Continue reading

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Bandits Know the Best Product Price

In an earlier post, I did a survey of a class of reinforcement learning  algorithms, known as Multi Arm Bandit(MAB) . Essentially, these algorithms make decisions and learn from rewards received from the environment. You can also think of them as … Continue reading

Posted in Big Data, Data Science, Hadoop and Map Reduce, Marketing Analytic, Optimizatiom, Optimization, Reinforcement Learning | Tagged , , , | 2 Comments

A Learning but Greedy Gambler

In multi-armed bandit (MAB)  problem, a gambler must decide which arm of K slot machines to pull in sequence of N rounds of pulls to maximize the overall return. Many real life optimization and decision making problems can be modelled … Continue reading

Posted in Big Data, Data Science, Hadoop and Map Reduce, Marketing Analytic, Optimization, Reinforcement Learning, Storm | Tagged | 4 Comments