Cronuts BOFU Lead Scoring is an AI model that prioritises your pipeline by real close probability rather than form fills. It detects bottom-of-funnel signals — intent, fit, engagement and timing — across CRM, marketing automation and product, and writes a 0-100 score plus the top-three explanatory signals into HubSpot, Salesforce, Pipedrive or Microsoft Dynamics 365. It is built for B2B teams with complex sales cycles and at least 100 leads/month in pipeline. We deploy in 45 days, retrain monthly with closed-deal feedback and audit bias quarterly. Pricing starts at 3,200 EUR/month, in a partner retainer with no lock-in.
Why this lead scoring is different
Traditional scoring grades leads on demographics and form fills, which barely correlate with revenue. Our model grades on BOFU signals that correlate directly with closed-won probability: pricing-page visits, demo requests, comparisons, procurement contacts, second meetings, technical whitepaper downloads. It is explainable by design (gradient boosting + SHAP values), GDPR and EU AI Act compliant and can be deployed in your own VPC with no data egress.
Seven pillars of the model
1. Automatic detection of BOFU signals
Intent, fit, engagement and timing signals are extracted from CRM, MAP and product activity, and weighted by their real correlation with closed-won opportunities in your last 12-18 months of history.
2. Predictive scoring by close probability
Every lead receives a 0-100 score expressing real close probability, not generic activity. Sales prioritises the top of the list and stops chasing demographically-fit leads with no buying intent.
3. Native bidirectional CRM integration
HubSpot, Salesforce, Pipedrive and Microsoft Dynamics 365. The model reads attributes, activity and opportunities, and writes the score, top-three signal explanation and last-calculation date into lead/contact properties. Real-time updates on key events, nightly batch for the rest.
4. Automatic routing to sales reps
High-score leads are routed by capacity, quota and territory rules, so the best opportunities reach the rep most likely to close them.
5. Per-lead explainability
Each score lands in the CRM with the top-three signals that moved it, surfaced from SHAP values. Sales validates the why before the call instead of acting on a black-box number.
6. Monthly retraining with closed-deal feedback
The model retrains monthly with the latest closed-won and closed-lost outcomes. Sales-flagged inline feedback (mis-scored lead, missing context) feeds the next training cycle.
7. +30-50% SQL→Won conversion uplift
Average uplift across B2B clients with 30-90 day sales cycles, combined with 25-40% reduction in time-to-close and 20% lift in average deal size by prioritising better-fit accounts.
Metrics that matter
- SQL→Won conversion rate: +30-50% versus pre-deployment baseline.
- Average time-to-close: -25-40% by focusing reps on highest-probability accounts.
- Average deal size: +20% from better-fit account prioritisation.
- Sales capacity unlocked: equivalent to 0.5-1 FTE per 5 reps from time saved on unqualified leads.
- Model precision/recall on top-decile: tracked live, retrained monthly.
- Feature drift: monitored continuously, alerts if calibration degrades beyond threshold.
- Bias audit: quarterly review by geography, company size and sector.
How Cronuts works with revenue teams
We work as a partner with your sales and RevOps leads. The Cronuts team runs discovery, connects your CRM, MAP and product data, trains the model on your closed history, validates A/B with sales and stays on through weekly confusion matrix review, monthly retraining and quarterly bias audit. The retainer covers all retraining, drift monitoring and integration maintenance — no hidden professional services, no lock-in. For regulated sectors we deploy in your own VPC with field minimisation and full DPA coverage.
If your team handles 100+ leads/month in pipeline and you want to know what predictive scoring would change in your funnel, write to info@cronuts.digital. We deliver a free executive diagnostic with a backtest on your last 12 months of opportunities and a deployment plan within five working days.