PREDICTING PRODUCT DEMAND
Precise prediction of who will buy the product and how best to reach them. For clients who want to rebrand their product, wishing to reach a larger customer base, or launch new products to see how the customers will react.
REAL TIME BIG DATA ANALYSIS IN RETAIL
Predicting customer segments and their patterns of behaviour based only on information from their shopping receipts. Suitable for supermarket chains seeking to find a big data alternative to loyalty cards.
Microtargeting implies randomly assigning people to receive messages based on pre-performed customer segmentation. It is for clients who want to optimize reach to their customers.
OPTIMIZING THE MARKETING MIX
Predicting customer segmentation for each marketing channel, allowing the client to precisely target its customer groups. Suitable for any B2C company launching new products, entering the market, or planning an expansion.
EXPERIMENTS AND VALIDATED LEARNING
Suitable for launching new products but also in fixing problems with demand for existing products. Best for product testing and observing step-by-step customer reactions, and for field experiments.
POLITICAL CAMPAIGNS AND ELECTIONS
Predicting electoral results, finding out which issues the voters care about, which ads work the best for which segmented groups of voters, and which neighbourhoods and streets the campaign should target