What we were solving
The company had a compelling product — cross-border payment infrastructure for mid-market businesses trading across Southeast Asia. Their ICP was CFOs and finance directors at companies doing $5M–$100M in annual cross-border transactions. This is a buyer persona that doesn't respond to cold email, rarely engages with paid ads, and is exceptionally difficult to reach through traditional outbound.
Their previous approach was manual and inconsistent: a BDR sending personalised LinkedIn connection requests with no systematic follow-up, no A/B tested messaging, and no tracking. They were generating fewer than 3 qualified meetings per month from LinkedIn — and those meetings were largely from warm introductions, not outbound effort.
They needed a systematic, scalable outreach engine that could operate at volume without sacrificing the personalisation CFOs expect.
What AppLabx did
We began with a detailed ICP workshop to tighten the target persona definition. The previous targeting was too broad — 'CFO at a company with 50–500 employees' — which produced volume but poor qualification. We refined it to: CFOs and VPs of Finance at companies in manufacturing, distribution, and professional services with identifiable cross-border trading relationships across ASEAN. This narrower filter produced fewer total prospects but dramatically higher intent signals.
PipelineIQ™ was used to analyse response data from 200 historical LinkedIn outreach messages and identify the linguistic and structural patterns that correlated with positive responses from finance decision-makers. The findings shaped a new message framework: shorter (under 75 words), leading with a specific observation about their business rather than a product pitch, and offering a quantified insight rather than a meeting as the first step.
We ran three parallel outreach sequences — connection request copy, first message, and two follow-up variations — and A/B tested them systematically. The top-performing variants were rolled out at scale using Sales Navigator, with daily monitoring and weekly copy optimisation based on response data.
What happened
In the first 30 days, response rates to connection requests improved from 18% to 34%. Message response rates — the harder metric — went from 6% to 14%. By day 60, 34 meetings had been booked with qualified CFOs and VPs of Finance at companies matching the refined ICP criteria.
Cost-per-qualified-lead came in at $62 — compared to $340 for their Google Ads campaigns targeting the same persona. The pipeline generated from those 34 meetings in the subsequent 90 days was $1.4M.
The client subsequently retained AppLabx for ongoing lead generation management. In months 3–6, meeting volume increased to an average of 22 qualified meetings per month at a stable cost-per-lead of $58.
"The quality of the meetings was the real surprise. These weren't tyre-kickers — they were genuine finance decision-makers who had a real problem we could solve. AppLabx cracked a buyer persona that our own team had struggled with for 18 months."Head of Growth · B2B Payments Platform · Singapore (identity withheld by mutual agreement)