About
To|Someone uses machine learning to render the version of an email most likely to motivate. To|Someone applies a recommender engine to email, predicting which content will get the best result. The model is refined when the person takes action (click, unsubscribe, donate). Our service focuses on getting more clicks, less unsubscribes and providing customers with actionable intelligence about their online universe. To|Someone comes from the insights of political professionals: We rarely “know” what message will motivate an individual on our list to get excited, volunteer or make a donation. Is it the marriage equality message? Union rights? Gun safety? Minimum wage? Segments are difficult to construct and harder to maintain. Testing and targeting requires a large staff and careful calculations. Few do correct a/b testing or multivariate analysis. To|Someone will transform political email and aggressively bring a new tool to the 3 billion dollar commercial email market.