CallSense case study · RV and marine dealership
How a multi-department dealership found 840 at-risk leads in one month
A leading RV and marine dealership needed a weekly, store-level view of how calls across Sales, Service, Parts, BDC, and Reception were converting into revenue—or leaving recoverable demand unresolved.
The operating challenge
Visibility could not depend on manual review.
- More than 6,000 monthly calls made meaningful manual review impractical.
- Five teams handled different customer needs and required different success criteria.
- Leadership needed to distinguish genuinely lost demand from opportunities that could still be recovered.
- Point-in-time reporting could not show whether performance was changing week over week.
What Vantedges did
Turn the interaction into structured management intelligence.
Vantedges deployed CallSense across the dealership’s phone lines for March 2026 and analyzed every call in four consecutive weekly cycles. The resulting operating view showed high-value demand, capture status, missed calls, team performance, and recurring follow-up gaps by department.
What the analysis revealed
Specific findings leaders can act on.
Only 338 of 1,178 high-value leads were fully captured—a 29% capture rate and a 71% at-risk rate at the time of reporting.
Sales ended 96.7% of 632 scored calls positively; Service achieved 95.7% across 898 calls; Parts achieved 100% across 20 calls.
Service and Equipment represented about 85% of call volume and carried most of the at-risk opportunity.
Each weekly report translated raw call data into what was working, where revenue was at risk, and the lowest-effort actions available to managers.
Management action enabled
Move from evidence to a repeatable operating response.
- Prioritize the 840 at-risk leads while customer intent is current.
- Concentrate coaching and follow-up discipline in Service and Equipment.
- Use the same weekly scorecard to track capture-rate movement and team-level patterns over time.
Based on real CallSense analysis of anonymized customer call data. The company name is withheld at the client’s request; all figures reflect the reporting period analyzed.
These figures describe the intelligence produced during the analyzed period or interaction. They are not presented as a post-implementation revenue-lift claim.