Audiences are still bought as generic profiles — age, gender, declared interests — while the company’s own behavioral data, the only data that actually predicts anything, stays unused.
Modeled segments with documented definitions, propensity scores in your systems, and the evidence that each audience performs better than the baseline.
Clustering finds structure a human would not define by hand; gradient boosting and neural models turn thousands of behavioral signals into a single score; embeddings make similarity meaningful across products, content and customers.
Note: we model and deliver audiences. We do not plan or buy media — your agency or in-house team activates them.
Related: Dataset Engineering & Enrichment · AI Models & Decision Tools
Platform lookalikes learn inside one walled garden, from what that platform can see. Our models learn from your full customer history and work across every channel.
Yes, as hashed and privacy-safe segments, through the connections your team already uses.
Holdout testing and incrementality: the model is compared against what you do today, on the KPI you chose.
Typically daily or weekly, depending on how fast behavior changes in your category.