The context: tailored B2B databases
Sales Run builds tailored B2B databases for sales teams. It helps its clients define their targeting and delivers enriched lists.
Its method combines company size, industry and online signals.
The need: information no database provides
Some information is out of reach of the usual sources:
- whether a number is valid and how likely you are to reach the contact;
- the tools the company uses internally;
- information specific to an industry.
Sales Run wanted to get this information at the source, from the prospects themselves.
What was set up with Starleads: AI agents that qualify the list in depth
Sales Run added natural-sounding AI agents to its method. They call prospects and collect precise information, specific to their line of business.
The goal is not just to validate a list. It is to qualify it in depth, to deliver data that sales teams can use in the field.
The script and the targeting are agreed in advance with the Sales Run team. The agent follows them on every call. This approach is explained on the Lead qualification and AI cold calling pages.
The results: more meetings, a cleaner list
more meetings booked, over one week of calls
qualified leads on answered calls
of time saved
of the database cleaned up: unreachable numbers, voicemails and errors
Results reported by Sales Run.
“First of all, what you get back is very factual, with figures. Straight away, before you even get to qualification, you weed out the people who don’t answer and the wrong numbers. […] Then the qualification lets you approach your clients in a way that sets you apart. On one campaign, we got 8 times more meetings in the same amount of time.”
The salespeople work on warmer, better-targeted leads. Their conversion rate improves.
The outcome: a step in the Sales Run method
Sales Run delivers cleaner, more precise, ready-to-use lists. Starleads has become a building block of its method.
The team recommends the solution for qualifying a large volume of prospects in depth.