Turn data gaps into revenue growth with predictive consumer intelligence

Reach and engage the right people and stop spending on the wrong ones by enriching your first-party data to better understand the prospects and customers you know, or by installing Resonate's data into your consumer data layer to understand the full US adult population across devices and channels.

Identify and act on who matters most—before your competitor does. Know exactly who’s ready to convert and who will churn or stop buying based on what they are doing right now—not last month. Resonate's rAI-powered Predictive Modeling solution supercharges your data with earliest intent, and fast-moving behavioral signals to pinpoint and deliver your next best and at risk customers directly in your campaign platforms.

Act earlier, personalize smarter, and grow LTV faster by enriching your consumer models with deep, recent online behavior. Resonate Embeddings reveal earliest consumer intent, fast changing preferences, and hidden opportunities not visible in your first-party data alone.

Better engagement and stronger results start with knowing what drives each group in your audience to act. Resonate’s Signature Segmentation divides your audience file into distinct, activation-ready groups grounded in motivations, values, and intent that define why they buy and predict what they'll do next. Segments are built from your audience, not predetermined molds your data has to fit.

By capturing and acting on the most recent shifts in preferences, intent, and psychographics, rAI Website Personalization delivers dynamic, hyper-relevant website experiences that convert all visitors into high-value customers—making your website your best-performing salesperson. ​

Resonate can create quick, research-based audiences tailored to your needs. Whether we integrate a question into our US Consumer Study, or conduct independent research, we can find the nuance and specificity you need to enrich your audience data to improve analysis, segmentation, personalization, and modeling.