Platform / Lead Scoring
AI Lead Scoring Built for Reactivation
Not all dormant leads are equal. EVE's scoring model surfaces the ones most likely to re-engage — so your team focuses on the right 10%, not the other 90%.
5
Signal dimensions
Real-time
Score updates
The Scoring Model
Five dimensions. One reactivation score.
EVE analyzes every dormant lead across five signal categories to produce a 0–100 reactivation likelihood score, updated every time a new signal arrives.
- Firmographic Fit — ICP match score: company size, industry, tech stack
- Behavioral History — past engagement depth: pages viewed, content downloaded
- Recency — time since last meaningful signal weighted against dormancy duration
- Intent Data — third-party topic surge signals cross-referenced with lead's profile
- Engagement Score — email re-open history, link click patterns, website return frequency
Signal Types
Every signal that moves the score
Website Signals
Pricing page revisits, feature pages, careers (buyer intent). EVE tracks which pages trigger score increases vs. noise.
Email Engagement
Re-opens of sales emails after 30+ day silence. Link clicks on pricing or demo links. EVE flags these as high-value reactivation moments.
Intent Surge
Third-party intent data indicating the lead's company is actively researching your category right now.
See what your score 80+ leads look like.
Book a demo and we'll run EVE's scoring engine against your CRM data to show you the reactivation opportunity waiting inside.