Lead Intelligence
Lead qualification and lead scoring, with reasoning for each record. Every enquiry reaches sales with a company profile, a trigger, a signal and a priority, and the score can be corrected.
Finding B2B leads here means: new target customers are researched with a contact person, contact details and company information, from public sources and purchased registers, industry databases and financial data, as far as these support qualification. Buying company addresses is thereby removed as a recurring item.
The existing base is continuously checked and enriched. Reactivating inactive existing customers in the CRM begins with the cases that declined two years ago and are a fit today. When a signal changes, the record gets back in touch.
Every record comes with a signal chain and a rationale, so that field sales know what to expect before the meeting. What counts as a signal, whether a tender, a change in personnel or intent data from the B2B environment, is defined during scoping.
Lead qualification and data enrichment
Qualify incoming enquiries automatically, with every step documented.
An enquiry passes through the same chain as a researched address: trigger, profile, signal, priority. Data enrichment adds what is missing from the form: company size, industry, decision-makers, recent events. The AI employee gives a rationale for what it assesses, and sales can correct the assessment; the next assessment learns from the correction.
Book a callYour own sources
Enquiries, downloads and trade fair contacts, set against the same target picture.
Alongside registers, industry databases and financial data, the sources from your company feed in: form enquiries, downloads, webinar registrations, trade fair contacts. Anyone who gets in touch or returns is set against the same target picture as a researched address. Identifying anonymous website visitors is not part of this; what is assessed is who has got in touch with consent.
Book a callHow your AI employee works
A lead scoring software that works as an AI employee. AI lead scoring with a rationale for each record: the research falls away, the assessment remains verifiable and correctable.
For each record, the signals from which the priority arises are shown, with source and date of collection. Field sales know what to expect before the meeting.
Feedback runs through the systems in which the team already works. Which handovers held up and which did not feeds into the next assessment.
A connection to your CRM is possible and is prioritised according to effort and benefit. The start deliberately works without a technical bridge as well, for example via uploaded records.
Your lead data in the tools your team already uses. The answer comes from the same verified basis.
Check us before you speak to us.
Three ways to check our work in advance: the comparison of our features with the largest providers, documented cases from other companies and a check of how robust your market view is today.
Provider comparison
134 features of lead qualification, feature by feature against the largest lead intelligence providers. The methodology is disclosed.
Best practices
How companies across various sectors have brought market and sales intelligence into their operations: for each case, the task, the sources and the output format. The collection is growing.
Maturity check
How reliable is your lead scoring? Four levels from gut feeling to evidence: sources per record, signal chain, return channel from sales, and maintenance of the existing data.
Frequently asked questions
Where does the data on a company come from?
From what is publicly available, combined with purchased sources such as company and personal registers, industry databases and financial data, in so far as these support qualification. Every entry carries its source and the date it was collected.
Does this replace the list purchase?
Yes, that is the aim: the AI employee takes the place of the ongoing list purchase. Going forward, new target customers are researched; looking back, the existing data is kept up to date, at the agreed cadence rather than once a quarter as a list.
Can we have leads researched automatically?
Yes. You hand over a target profile and, if available, your existing data. The AI employee researches target customers, scores them and hands them to sales with a signal chain. What many search for as an AI agent for lead generation is, at scoreprise, a named role with responsibility, cadence and return channel.
How does lead scoring work in B2B?
Each record is checked against your target profile: industry, size, region, events such as tenders or staff changes, and its status in the existing data. From this comes a priority with a signal chain. Sales corrects it through the return channel, and the correction feeds into the next scoring.
Can website visitors be identified in a GDPR-compliant way?
We do not offer the identification of anonymous visitors. What is scored is whoever comes forward with consent: through a form, download, webinar or trade fair. These contacts are enriched and put through the same scoring as researched addresses.
Does this also work for trade fair lead management?
Yes. Trade fair contacts are enriched like any enquiry, scored against the target profile and handed to sales with a priority, at the agreed cadence after the trade fair.
How does this get into our CRM?
A connection is possible and is prioritised according to effort and benefit. The start deliberately works without a technical bridge as well, for example through uploaded data.
What happens if the assessment is wrong?
Sales corrects it through the return channel, and the AI employee learns from this. The signal chain on each record makes it possible to trace how the scoring came about.
Where does operation take place?
Entirely in the EU. Transmission is encrypted, access is role-based, every step of work is logged.