Market Entry Analysis Uncovered a Vertical With 3x the Addressable Opportunity

The Challenge

The product was built and showing early traction. The question wasn’t whether to go to market — it was where. Two verticals looked promising, but the founders couldn’t agree on which one to back, and the data to settle it didn’t exist.

• The company had a horizontal product that could serve multiple verticals, but trying to sell to everyone meant selling effectively to no one. The founders agreed they needed to pick one vertical and go deep — they just couldn’t agree on which one.
• Two verticals were shortlisted based on founder intuition and early inbound interest. One co-founder favoured Vertical A because two early customers came from that space. The other preferred Vertical B because a conference conversation suggested strong demand. Neither had data beyond anecdotes.
• The team was about to commit significant budget with no market sizing. Sales hires, marketing spend, content strategy, partnerships — all of it would be shaped by the vertical choice. But nobody had actually quantified the opportunity in either market.
• Previous “research” was informal and inconsistent. A mix of Google searches, competitor website browsing, and conversations with a handful of prospects. No structured framework, no comparable data between the two options, and no way to pressure-test assumptions.
• The internal debate was becoming circular and draining. Both founders could make a compelling case for their preferred vertical. Weekly strategy meetings were rehashing the same arguments. The lack of objective data meant every discussion ended where it started.
• The stakes were existential, not just strategic. With 18 months of runway, picking the wrong vertical meant 6–12 months of burn in a market that might not convert — and possibly not enough time to pivot.

Our Approach

The goal was to replace opinion with data — structured, comparable, and specific enough to make the decision obvious.

• Competitive landscape mapping for both verticals. Identified and profiled every direct and adjacent competitor in each market — their positioning, pricing models, feature sets, funding status, and estimated market share. This showed not just how many competitors existed, but how entrenched they were and where gaps remained.
• Bottom-up TAM/SAM/SOM modelling. Built market sizing models for each vertical using industry databases, company counts by segment, average contract values, and realistic adoption rates. Avoided top-down “the market is $X billion” claims in favour of bottom-up calculations that the founders could trace and challenge.
• Go-to-market cost modelling. Estimated customer acquisition costs in each vertical by analysing typical sales cycle length, required touchpoints, decision-maker accessibility, and channel costs. Vertical B showed a 35% lower estimated CAC — partly due to less noise from competitors and partly due to a more concentrated buyer base.
• Buyer persona and sales cycle analysis. Mapped the typical buying process in each vertical — who initiates, who approves, how long it takes, and what triggers a purchase. Vertical B had a shorter average sales cycle and fewer stakeholders in the decision chain.

Values are illustrative and representative of the relative differences identified in the analysis.

• Delivered a data-backed recommendation with a clear rationale. Presented the analysis side-by-side: Vertical B had 3x the addressable opportunity, 40% fewer direct competitors, 35% lower estimated acquisition costs, and a shorter sales cycle. The recommendation wasn’t just “go with B” — it was “here’s exactly why, and here’s how the numbers compare on every dimension that matters.”
• Included a 90-day go-to-market roadmap for the chosen vertical. Beyond the analysis, delivered a phased plan covering initial target accounts, messaging positioning, channel priorities, and milestone checkpoints — so the founders could move from decision to execution immediately.

The Results

The founders made their decision within a week of receiving the analysis — a debate that had been running for months was resolved in four weeks of structured research. The 3x difference in addressable market was the headline finding, but it was the combination of factors that made the recommendation clear: more opportunity, less competition, and cheaper acquisition.

The 35% lower estimated CAC in the chosen vertical meant the same go-to-market budget would reach further and convert more efficiently. And the 90-day roadmap meant the team moved from deliberation to execution immediately — the first targeted outreach in the chosen vertical went out within two weeks of the decision.

Six months later, the pipeline in the chosen vertical validated the analysis.