Marketing Management Optimization
Difficulty in managing and synchronizing the multiple campaigns aimed at costumer up / cross selling, retention and / or acquisition.
The approach, typical of product-centric strategies and dictated by objectives that are imposed on individual campaigns without considering the synergistic interaction between generating excessive push communication on the customer.
Recommender Systems
The goal is to find the perfect match between customers and products in order to suggest the right product at the right moment.
Item-based filtering
I suggest you product x because it is similar to the product you bought. The implementation needs a vectorial representation of each product in order to evaluate their similarity.
Collaborative filtering
I suggest you product x because people similar to you have chosen it. The implementation needs a vectorial representation of each customer in order to evaluate their similarity.
Popularity filtering
I suggest you product x because it is popular right now.
Serendipity effect
Serendipity is an unplanned fortunate discovery.
Hybrid filtering
When I have a lot of information I can use a combination of the preceding approaches.
Dynamic Recommender Systems
Recommendation is not only about the right product, but also the right moment to suggest it.
Created: November 23, 2022 14:53:07