AI Lead Scoring
Every company checked against your target criterion — with score and rationale
Does this sound familiar?
Sales calls 200 companies to find the 30 that actually fit.
Your target criterion is in no data field: "several sites and an in-house finance department" cannot be filtered.
Filtering by industry and size returns either far too many hits or far too few.
Manual research takes three weeks, is undocumented, and cannot be repeated next time.
How It Works
From inquiry to final deliverable — transparent and predictable.
Phrase the criterion
You describe in a few sentences what makes a company a good lead for you — and send the list or the filters for a lead list
Agree the rule set
We formalise the criterion into sub-criteria, levels, and knockouts; you approve the rule set or adjust it
Research & scoring
Each company is researched individually — website, subpages, web search, company data — and scored against the rule set
Delivery
Scored list as Excel with score, levels, rationale, confidence, and sources per company
Phrase the criterion
You describe in a few sentences what makes a company a good lead for you — and send the list or the filters for a lead list
Agree the rule set
We formalise the criterion into sub-criteria, levels, and knockouts; you approve the rule set or adjust it
Research & scoring
Each company is researched individually — website, subpages, web search, company data — and scored against the rule set
Delivery
Scored list as Excel with score, levels, rationale, confidence, and sources per company
What You Receive
Rule set (for your approval before the run)
- Sub-criteria with measurement question and weight
- Observable anchors for levels 0, 1, and 2
- Knockout criteria that rule a company out for certain
- Search terms used to find evidence
Scored list (Excel)
- Score from 0 to 10 per company, computed from the weighted levels
- Level per sub-criterion as its own column — sortable and filterable
- Rationale with concrete evidence, two to four sentences
- Confidence high, medium, or low
- Up to ten source URLs — only pages actually read
- Status per company: scored, knockout, unreachable
Packages & Pricing
Package S — up to 500 companies
€490
Rule set for your approval, research and scoring per company, delivery as Excel.
Package M — up to 2,500 companies
€990
Rule set for your approval, research and scoring per company, delivery as Excel.
Package L — up to 10,000 companies
€1,990
Rule set for your approval, research and scoring per company, delivery as Excel. Package XL up to 50,000 companies €4,990, beyond that on request.
Seen enough?
Request scoringWhy Implisense
Your criterion, not our categories
What gets assessed is what you describe in your own words — including traits that exist as a field in no database
Traceable instead of black box
Every company comes with rationale, sources, and confidence; the score is computed from the levels, not estimated
Company data as the starting point
Commercial register master data, industry, size, and key figures provide the context the web research builds on
Frequently Asked Questions
Common questions we receive about this service.