Predictive lead scoring: Best practices for B2C lead scoring using machine learning
Implementing the right predictive lead scoring system unlocks powerful lead optimization and personalization options for marketing and sales teams.
· Perry McDermottPredicting with Faraday
How to optimize ad targeting and comply with financial advertising regulations
In finance, remaining compliant to fair lending regulations doesn’t mean you need to accept worse acquisition performance. Learn how to use AI and third-party data to optimize ad spend by surfacing your most likely-to-buy customers in under 15 minutes, while ensuring you're compliant to any relevant regulations.
· Patrick Doherty
Faraday model reports: Understanding feature importance and directionality
Predictions are complex, and consumer predictions for marketing aren’t an exception. In many cases, you might find yourself given the green or red light to go after a lead, prevent a churn, or approach a customer in another way that’s specific to a business goal your org has.
· Patrick Doherty
How k-means clustering is used to identify customer personas
Using machine learning to identify customer personas in your data can help improve your understanding of your customer base, and with the right infrastructure, deliver personalized experiences at a greater scale.
· Faraday
How propensity models help predict customer behavior
To get accurate propensity predictions, you need a good propensity model. Here’s how Faraday approaches propensity modeling.
· Faraday
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