Deterministic ad engine that refuses to lie – verified with SQL
Nick Baum, founder of Allocera Intelligence, has developed a deterministic ad engine called CDAI to address discrepancies in campaign cost reporting. Traditional platforms often omit critical costs, leading to inaccurate cost-per-lead metrics that affect scaling decisions. CDAI reconciles data from various sources to provide a comprehensive view of campaign costs, enabling better decision-making.
- ▪Nick Baum is the founder of Allocera Intelligence, specializing in performance marketing and paid acquisition.
- ▪CDAI addresses the issue of incomplete cost reporting in lead generation campaigns.
- ▪The system integrates data from multiple sources to provide an accurate cost analysis for campaigns.
Opening excerpt (first ~120 words) tap to expand
Nick Baum is the founder of Allocera Intelligence. His background is in performance marketing, paid acquisition, and full-funnel measurement — owning GA4 and GTM architectures, Google and Meta campaign management, and conversion tracking across live, revenue-generating operations in regulated environments.Working directly inside lead generation operations, Nick encountered the same structural problem consistently: platforms report only the costs they control. Broker fees, post-conversion refunds, chargebacks, compliance costs, and variable overhead never appear in campaign reporting — which means the cost-per-lead number used to make scaling decisions is systematically wrong. The gap between what dashboards show and what campaigns actually cost is not a rounding error.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Allocera Intelligence.
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