Case Studies
GTM Strategy
ICP & TAM Mapping
Pipeline Generation
Signalbased Targeting
How Van Mossel Rebuilt Outbound with Signal-Based Scoring
29%
Increase in booked meetings
First
signal-based scoring model implemented to qualify and prioritize target accounts

Servaas
Reijnen
Director Van Mossel
Company / segment
Enterprise B2B auto leasing (SMB segment).
Background
Van Mossel wanted to make outbound work better in-house and improve margins. The existing outsourced sales setup generated a lot of noise and too little signal.
The challenge
The outsourced model produced low-quality leads and little control over targeting and qualification. Over roughly 9 months, the activity resulted in only 3–4 meetings, despite meaningful budget and effort.
Rolling out
We rebuilt the targeting and qualification layer so the outbound motion could be run internally:
Implemented a custom account scoring model based on unique, high-intent signals.
Evaluated accounts using signals such as mobility service context, lease indicators, contract timing, and fleet potential.
Estimated fleet size per company where possible, combining enrichment with additional data sources and observable location or behavioral signals.
Calculated the expected financial impact per account using relevant lease and cost drivers.
Built a focused regional list of companies that truly matched the ICP and target profile, ready for execution by an in-house team.
What was built
Signal-based scoring model
ICP/TAM target list with qualified accounts
Account enrichment layer (fleet and company data)
Impact calculations per account
Internal process to run and iterate outbound targeting
Results
A clear list of ICP-fit, qualified companies to contact
Higher lead quality than the outsourced approach
A repeatable foundation to run outbound profitably in-house, with more control and better prioritization
