Better seed audiences. Better paid acquisition.
The ad giants use neural nets to power their performance products, so why shouldn't you? Neuralift performs micro-segmentation on your customer data to output unique precision seeds for ad partners like Google, Meta, TikTok and more. We can even isolate the 1,000 IDs closest to the centroid to make sure any downstream lookalike models are tuned to perfection.
Win them back for less.
Neuralift reads your customer and campaign data and maps the terrain behind growth: which prospects mirror your best customers, which lapsed users are winnable, and what brings them back. The highest-upside opportunities return as Ranked Actions like the one below.
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.
Lift paid acquisition outcomes.
$100K campaign · $2 CPC · 50K clicks · 3.0% baseline CVR · +30% rel. uplift · +450 conversions · $100 rev/conv → +$45K incremental gross
- 01
Discover behaviorally distinct customer segments
Neuralift surfaces high-value segments hidden in first-party data, defined by genuine behavioral similarity, not RFM cuts.
- 02
Select the highest-confidence seed
Picks the customers closest to the centroid of each segment. Cleaner seed in, cleaner lookalike out.
- 03
Activate as seeds in Google, Meta, and TikTok
Customer IDs export securely into Google Customer Match, Meta Custom Audiences, TikTok. Foundation for custom and lookalike audiences.
Start with Acquisition & Re-Engagement.
Book a 30-minute discovery call to scope this use case with our team.