Packaged AI product · 45 days
Lead scoring that prioritises pipeline. Sales only with tier-1.
A scoring model trained on your CRM history and on behavioural signals. Every lead gets a score from 0 to 100, the signals that explain it and the suggested next action. Integrated with HubSpot, Pipedrive or Salesforce. Operational handoff to your team in 45 days.
In short
What is AI BOFU lead scoring?
BOFU lead scoring is a machine learning model that scores every lead from 0 to 100 by its probability of closing. It is trained on the won and lost opportunities in your CRM and on bottom-of-funnel signals: pricing page visits, demo requests, comparisons or procurement contacts. The score, with the signals that weigh most, is written into HubSpot, Salesforce or Pipedrive so that your sales team works the leads with the most intent first.
cronuts.digital implements it for 3,200 €, one-time fee, in 45 days: discovery with sales and RevOps, data connection, model training, validation with your sales team and go-live. Personal data on European infrastructure, or in your company VPC if your sector requires it. Optional maintenance from 300 €/month, with retraining, adjustments and drift monitoring.
They have worked with cronuts.digital
A filled-in form is not buying intent. BOFU signals are, and scoring orders the pipeline by probability of closing.
Buy lead scoring · 3,200 € →What it does · model capabilities
Six capabilities. A score sales understands and uses.
It is not a points rule for opening an email. It is a predictive model trained on your real closed deals, which explains every score and puts it in the CRM where your sales team already works.
BOFU signals · multi-source
Intent, fit, engagement and timing
Detects bottom-of-funnel signals in your CRM, your marketing automation and your product: pricing visits, demo requests, comparisons, procurement contacts, second meetings.
Predictive scoring
Probability of closing, not forms
Every lead gets a score from 0 to 100 calculated on your won and lost opportunities, not on how many forms it has filled in. The pipeline is ordered by what closes.
Explainability per lead
The three signals that move each score
Gradient boosting with SHAP values: sales sees which signals weighed most for each lead and can check the reason why. Quarterly bias audit by geography, size and sector.
Routing
The lead reaches the right rep
Automatic routing to sales reps by capacity and quota. Slack or email alert when a lead crosses the agreed score threshold.
Personal data · EU
European infrastructure and DPA
Personal data processed on European infrastructure, with field minimisation and retention aligned with your CRM policy. In regulated sectors, deployment in your company VPC.
Feedback · retraining
A model that learns from your closed deals
Sales flags wrongly scored leads in the CRM. That feedback and the closed opportunities feed retraining, and drift monitoring warns you if the calibration degrades.
Tech stack · integrations
Integrated with your current CRM. No change of tool.
The model reads attributes, activity and opportunities, and writes into the lead or contact properties the score, the three signals that explain it and the date of the last calculation. It recalculates in real time on key events, such as a demo request or a pricing page visit, and in a nightly run for the rest.
- CRM: HubSpot · Salesforce · Pipedrive · Microsoft Dynamics 365
- Marketing automation: HubSpot · Marketo · Pardot
- Product: usage data where relevant (PLG, free trials)
- Firmographic enrichment: Clearbit · ZoomInfo
- Intent signals: Bombora · G2
- Model: gradient boosting with SHAP values · explainable by design
What it reads and what it writes
- 01Input
CRM history
- 02Input
Marketing automation
- 03Signals
Product and website
- 04Signals
Enrichment and intent
- 05Output
Score in the CRM
- 06Output
Alerts and routing
Fixed price · 3,200 €
One-time fee. Implementation in 45 days. Operational handoff to your team. No mandatory retainer. Optional maintenance from 300 €/month.
How it is implemented
45 days. Model in production. Your sales team, prioritising.
Discovery with sales and RevOps, data and training, A/B validation with your sales team and go-live with continuous monitoring. Full implementation in 45 days.
Week 1 · Discovery
Sales + RevOps + data
Sessions with sales and RevOps to agree what a sales-ready lead means in your company. We review what your CRM, your marketing automation and your product store, and which signals can be measured.
Weeks 2-5 · Data + model
Connection, history and training
We connect the CRM, marketing automation and product, consolidate the historical data and train the model on your closed opportunities, won and lost.
Week 6 · Validation + go-live
A/B test and production
A/B validation with your sales team and go-live with continuous monitoring. The score, its three signals and the calculation date stay in your CRM, with an operational handoff to your team.
Lead scoring truths
Six things worth knowing before you score leads.
A filled-in form is not buying intent. BOFU signals (pricing, demo, comparisons) are the ones that relate to closing.
The demographic profile tells you whether a lead fits. Behaviour tells you whether it is ready to buy. You need both.
A score sales does not understand is a score sales ignores. That is why every score travels to the CRM with its three signals.
An unmonitored model degrades silently. We monitor drift and alerts fire if the calibration drops.
If the score lives in another tool, nobody looks at it. It is written into your CRM, where your team already works.
An AI project with no delivery date never closes. We productise: implementation in 45 days and a fixed price.
Verified reviews on Google
What the people who have worked with us say.
Frequently asked questions
What sales leaders and RevOps ask us before signing.
What exactly is included for 3,200 €?
What are BOFU signals and why do they matter in lead scoring?
How long does implementation take?
What data does the model need and where does it come from?
How does it integrate with HubSpot, Salesforce and Pipedrive?
How is bias avoided and how is each score explained?
How is personal data handled?
What happens if the model gives a wrong score?
Is maintenance mandatory?
Which companies is it right for?
Buy · 3,200 € · implementation in 45 days
Lead scoring in production in 45 days.
Fixed price, one-time fee. Scope in writing. Personal data on European infrastructure, or in your company VPC if your sector requires it. Operational handoff to your sales team.