Artificial Intelligence

Knowing exactly who to call, in what order, and reaching them… without a single gatekeeper

PFA Mar–Jun 2024

Services
01 Challenge

One of the largest Danish pension companies relied almost entirely on inbound leads, but decided to go on the offensive and hunt outbound to reach higher sales targets. The problem: they had no reliable way to generate consistently qualified leads. They didn’t know who to call, the contact information they could find was often inaccurate or out of date, and even when they reached the right company, gatekeepers at reception would block the call before it ever got to a decision-maker. Outbound sales was a numbers game they were playing blind, burning valuable time on wrong numbers, wrong decision-makers, and dead ends instead of real conversations.

02 What If

What if you always knew exactly who to call, in which specific order, and could reach their direct line without a single gatekeeper in the way? No guessing at job titles, no switchboard, no “I’ll pass the message along.” Just the right decision-maker, the right number, every time.

03 Result

We built an automated ML-driven query that scans every Danish registered company, identifies all decision-makers, and captures their titles and direct phone numbers in a single large database. Each contact is then scored by an internally developed algorithm that estimates their likely influence on the purchasing decision in that industry, weighing company financials, geography, headcount, job title, and more. The result is 15,000 direct contact details for decision-makers, growing by more than 1,000 every month, with existing records continuously updated whenever someone changes jobs or GDPR requirements apply. Outbound is no longer guesswork but a prioritized, always-current call list pointed straight at the people who can say yes.

+15,000 direct lines to decision-makers
2,100 hours saved on prospecting
  • Benjamin Fritze
    Benjamin Fritze
    Partner
  • Arthur Lindhardt
    Arthur Lindhardt
    Partner