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Investor Readiness · Unit Economics
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Packaging a Fintech Founder for Her First Institutional Round
Turned three years of real operating traction into a credible, data-backed capital story — and walked the founder through her first institutional raise with the right narrative, the right numbers, and the right rooms.
introduction
She had built a payments and reconciliation platform serving SME merchants across Lagos and Abuja. Revenue was ₦6.4M a month, retention was strong, and she had two term sheets from angel investors that had gone nowhere. She knew the business was working. But every investor conversation ended the same way: interest in the story, questions she couldn't answer cleanly about unit economics and scalability, and no close. She came in convinced the problem was her pitch. It wasn't.
the challenge
When we did the capital readiness assessment, the real gap was in translation. The business had the substance: strong GMV growth, defensible retention, low churn relative to the category, and a clear expansion thesis. What it didn't have was any of that packaged in the language institutional investors actually need to make a decision. There was no data room. The unit economics had never been modelled properly, CAC, LTV, and payback period were estimated verbally, not documented. The investor narrative was structured around the founder's journey rather than the commercial thesis. And the target investor list was a mix of VCs who were too early-stage focused and angels who were too small for the round size she was trying to close.
Solution
We ran a focused twelve-week engagement with four parallel tracks.
Unit Economics Modelling: We pulled three years of payment and cohort data and built a clean model that calculated blended CAC, LTV by merchant segment, payback period, and net revenue retention. This gave the founder real numbers for the first time — and gave investors the specific metrics they needed to size the opportunity.
Data Room Construction: We built a structured data room covering financial history, unit economics model, product roadmap, competitive landscape, team structure, regulatory position, and historical KPI trends. Every document was built to answer the questions a competent investor would ask before an IC meeting.
Narrative Development: We restructured the investor narrative from a founder story into a commercial thesis: market inefficiency, solution wedge, unit economic proof, and expansion path. The deck was rebuilt around that thesis with the operating data to back every claim.
Investor Targeting and Process Management: We mapped the relevant capital sources — fintech-focused angels, early-stage institutional funds with a West Africa remit, and one strategic with a payments portfolio — and ran the outreach process alongside the founder, including meeting preparation, follow-up sequencing, and term sheet negotiation support.
Result
₦18M seed round closed in 11 weeks from the start of the engagement
Unit economics formally documented and validated across four merchant cohorts for the first time
Data room reduced investor diligence timeline by an estimated 60%
Three competing term sheets generated; one strategic lead investor identified and closed
Founder entered post-close with a financial model she could update and present herself going forward
