Identity matching makes or breaks your predictive strategyYour predictive model is only as strong as your data’s match rate—because if you can’t resolve who’s in your list, you can’t predict what they’ll do.Chris Thomas & Ben Roseon Apr 17, 2025
The economy is in flux, but cutting predictive modeling could cost your next lifetime customerIn uncertain markets, cutting predictive modeling might seem like a quick budget win—but it risks losing the high-value, loyal customers that drive long-term growth.Nate Novotny & Ben Roseon Apr 17, 2025
Supercharge your lead acquisition with Faraday + LeadConduitLeadConduit is an extremely powerful tool on its own, but when combined with Faraday’s predictive datapoints, it becomes a real-time decision engine that helps you prioritize high-value leads before you ever place a bid.Chris Thomas & Ben Roseon Apr 11, 2025
Making sense of feature importance: Why 3% matters more than it might seemFeature importance in Faraday Outcomes and Recommenders shows which datapoints—like age or buying habits—had the biggest impact on the model’s predictions, helping you understand not just what drove decisions, but how and why.Ben Roseon Apr 10, 2025
Finding the sweet spot in direct mail: Cost-effective targeting with AI-optimized EDDMFaraday’s AI-optimized EDDM strikes the perfect balance between high-cost, well-targeted direct mail campaigns and low-cost, low precision EDDM by identifying the most profitable carrier routes, maximizing impact while minimizing waste.Ben Roseon Apr 4, 2025
Are you ready for your pre-purchase holdout validation?Validate Faraday’s predictive accuracy risk-free with a holdout test—just upload your data, and we’ll prove our models work before you commit.Nate Novotny & Ben Roseon Mar 28, 2025
Noticed a change in your score reporting? Here’s how score aggregation is improving your resultsScore aggregation improves prediction accuracy and stability by averaging scores from similar groups rather than estimating individual scores from aggregated datapoints.Thibault Dody & Dr. Mike Mustyon Mar 26, 2025
Preparing your data for seamless ingestion - a technical guideTo get started with Faraday, proper data ingestion is essential. This article offers a technical overview of the processes and best practices for preparing and ingesting your data into Faraday's system, ensuring fast and accurate predictions.Chris Thomas & Ben Roseon Mar 21, 2025
Preparing your data for seamless ingestion - a marketer's overviewTo deploy predictive models effectively with Faraday, clients need to start with clean, well-structured data that aligns with their business objectives, ensuring smooth ingestion and accurate predictions. This blog serves as a high-level introduction to this process.Chris Thomas & Ben Roseon Mar 21, 2025
The unexpected data that powers smarter predictionsFaraday's Identity Graph (FIG) includes unexpected customer traits—like "roof type" or "interest in boating"—and detects patterns amongst them that humans might miss, helping businesses make smarter, data-driven decisions.Ben Roseon Mar 20, 2025