Take content and platform engagement metrics to new levels.
Neuralift helps streaming, publishing, sports, app, and marketplace teams personalize to content affinity by surfacing the segments most likely to deepen sessions, lift feature adoption, and power smarter recommendations across owned surfaces.
Deepen every session.
Neuralift reads your session logs, content metadata, and feature events, and maps content affinity across your entire audience: what each cohort reaches for, when, and what would deepen the habit. The highest-upside opportunities come back 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 engagement at scale.
10M MAU · 70% baseline at low/medium engagement · 30% credibly liftable · +20% engagement signal → +2.1M users moved up tier
- 01
Discover content-affinity and engagement segments
Surfaces user segments by content affinity, session depth, and feature-adoption signals.
- 02
Map each segment to the right engagement play
Recommendation tuning, feature nudge, content surfacing, deep-content path, or reactivation prompt.
- 03
Activate across CMS, app, email, and recommendations
Push activation-ready IDs into CMS, in-app surfaces, email, and recommendation engines.
Start with Engagement & Recommendations.
Book a 30-minute discovery call to scope this use case with our team.