Cross Sell Modeling

Analytics to increase your up sell & cross sell rates by 20% - 30%

HOW IS IT DONE?

Historical data on customers are divided into 2 groups viz:

1) Customer who have purchased multiple products
2) Customers who have not purchased multiple products

These 2 groups of leads are statistically compared using ML algorithms across multiple data dimensions

The algorithms detects micro patterns which acts as a trigger for a cross sell / repeat purchase

HOW DOES THE OUTPUT LOOK LIKE?

The output is a propensity score tagged against every customer indicating their likelihood to buy another product or service

HOW DOES THE OUTPUT LOOK LIKE?

HOW DOES IT BENEFIT MY BUSINESS?

• Increase cross sell rates by sending personalised offers to every customer

• Optimise campaign costs by differentiated marketing efforts on customers most likely to convert

Where is it Applied?

Ecommerce

Travel

Insurance

Banking

Education

Every business selling multiple product categories