saranshkr/purchase-propensity-model

Propensity model to predict a customer's likelihood of purchasing a product from an online store based on past behaviour

12
/ 100
Experimental

This helps e-commerce businesses predict which website visitors are most likely to make a purchase. By analyzing visitor behavior like clicks and sign-ins, it predicts whether a user will place an order. This allows marketing and sales teams to target their efforts efficiently.

No commits in the last 6 months.

Use this if you want to identify high-potential customers on your e-commerce site to optimize marketing spend and increase sales conversions.

Not ideal if you need a real-time, instantaneous prediction for every single website interaction, or if your dataset is extremely large and requires a more complex machine learning approach.

e-commerce customer-segmentation marketing-analytics sales-forecasting customer-behavior
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 0 / 25

How are scores calculated?

Stars

8

Forks

Language

Jupyter Notebook

License

Last pushed

Nov 05, 2021

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/saranshkr/purchase-propensity-model"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.