Commercialize new audiences and insights.
Deep learning exposes previously invisible customer populations as packaged, addressable audiences. Monetized at a premium and used to drive advertiser and partner strategy forward.
Sell your audiences at a premium.
Neuralift reads your viewership logs, ad-server data, and first-party profiles where they live, and maps the premium audiences your DMP and CDP are missing. The most sellable opportunities come back as Ranked Actions like the one below, ready for your ad sales team to package.
Every cluster and artifact the deep-learning run discovers feeds straight into reasoning models. The Actions they write are grounded in what the network actually found, far more tuned to your outcome than an LLM pointed at a table.
Each Action is a comprehensive plan for hitting the KPIs you named, scored for strategic fit, expected impact, and executability. Beneath it sit segment-specific tactics: customer reach, recommended offers, channel mix, and a dated goal.
Take every plan as an export package, write it back to your warehouse, or serve it over MCP to fuel AI chains and agentic workflows.
Commercialize new audiences.
PATH 1 (modeled): 10M users · €20M baseline CPM revenue · +15% CPM uplift → €3M p.a. + ADDITIONAL UPSIDE: incremental advertiser spend · new advertisers won via RFPs
- 01
Discover net-new, premium audiences that your DMP & CDP are missing
Deep learning surfaces first-party behavior signals manual cuts and rule-based segments miss, working with ad logs, DMP segments, and the full first-party stack.
- 02
Map each segment to advertiser fit and KPI context
Every audience is scored for advertiser-relevance and tagged with buyer category, KPI fit, and packaging strategy.
- 03
Package as advertiser-ready audiences with full narrative
Each audience ships with explainable definition, advertiser-fit context, and narrative depth for RFPs and activation across CTV, retail media, display, and linear.
Start with Audience Monetization.
Book a 30-minute discovery call to scope this use case with our team.