Terms.Tech

Case

How do you free up 65% of your sales team’s research time so they can focus on calling the right prospects?

 

Sales was spending hours every day in making lists of target companies and researching them.

The result?

 

No time left to actually reach out.

Manually researching company profiles, revenue structures and payment setups was time-consuming and difficult to scale. As a result, sales teams spent a significant part of their time on research before they could start meaningful conversations.

 

Terms.Tech was looking for a way to reduce manual research and increase selling time, without compromising on relevance or targeting accuracy.

About Terms.Tech

 

Terms.Tech is  an AREA 42 working captial solution, based in Belgium. They offer deferred payment terms for B2B companies in the EEA and Switzerland.

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Challenge

 

Terms.Tech needed to reach a very specific, hard-to-define segment: companies above a certain revenue threshold, in selected industries, using particular payment solutions.

 

Within this group, they had to identify and contact the product manager or CFO, with direct access to mobile numbers and email addresses.

 

A very time consuming task that took a lot of time away from actually reaching out to these companies.

 

 

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Result

 

Every week, the sales team gets a list of CFOs and product managers working at companies that match their ICP.

 

Together with Terms.Tech, we started by redefining what a “good prospect” actually means.

 

Not more prospects. But fewer, highly-qualified decision-makers.

 

This ensured sales could start every day with clear overview of prospects to call.

 

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Approach

 

  • Define ICP and targeting criteria together
  • Identify relevant companies using AI-supported research
  • Validate decision-makers and contact details
  • Continuously refine lists based on sales feedback
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Impact

 

By working with Astra+, Terms.Tech significantly reduced the time spent on manual lead research.

 

Sales teams were able to focus more on outbound conversations, supported by lead lists that matched their targeting criteria and decision-maker requirements.

 

The result was a more structured and scalable outbound process, with greater clarity on who to contact and when.

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