
32 qualified leads in 15 days.
The challenge
VettX needed a faster, predictable route to dealership decision makers responsible for acquiring used inventory, in a market crowded with generic vendor pitches.
The approach
- Defined the dealer segments and buyer roles responsible for sourcing used vehicles
- Built market specific messaging around private party vehicle acquisition and inventory pressure
- Ran targeted outbound and moved interested replies into a clear qualification and handoff process
The result
- 32 qualified leads generated in 15 days
- A focused pipeline of dealership contacts responsible for vehicle acquisition
- A repeatable route into the dealer market for future campaigns
Connected with: Dealer principals and used vehicle acquisition leaders
Evidence and measurement
Reported window: 15 days. Reported outcome: 32 qualified leads. The campaign targeted dealership decision-makers responsible for used-vehicle acquisition.
- Reported period
- 15 day reported campaign window
- Outcome definition
- The public record calls the 32 outcomes qualified leads. It does not publish a universal qualification rubric or downstream revenue for this engagement.
- Target audience
- Dealership decision makers responsible for used vehicle acquisition
- Channels in the public record
- Targeted outbound, Reply qualification and handoff
What this record can support
This page supports the specific public outcome stated above for VettX. It is one first party observational record and is not a controlled experiment, industry benchmark, forecast or promise that another company will achieve the same result.
Limitations
- This was an observational client engagement with no control group, so the record does not establish what would have happened without the campaign.
- The public download does not include raw replies, CRM records, a contacted account denominator or later stage revenue.
Review the complete client results methodology, or download the source-aligned CSV and JSON records. Both files are regenerated from the same case study data during every production build.
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