While his vision for serving the SMB market via MSPs was consistently rejected, Kyle Hanslovan eventually won over investors by focusing on hard data. By proving the model with strong KPIs like top-of-funnel conversion, net dollar retention, and cash flow, he made the opportunity undeniable, even to skeptics.
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Instead of stating that customer retention improved from 80% to 95%, tell the story behind it. Explain the problem, the specific actions taken by a cross-functional team, and the resulting outcome. This narrative makes the numbers credible and memorable.
Moonshot AI overcomes customer skepticism in its AI recommendations by focusing on quantifiable outcomes. Instead of explaining the technology, they demonstrate value by showing clients the direct increase in revenue from the AI's optimizations. Tangible financial results become the ultimate trust-builder.
Instead of being discouraged by over 100 rejections, Canva's founder treated each one as a data point. She added new slides to her pitch deck to pre-emptively address every objection—such as market size or competition—making the pitch stronger and more compelling with each "no."
Applying the "weird if it didn't work" framework to fundraising means shifting the narrative. Your goal is to construct a story where the market opportunity is so massive and your team's approach is so compelling that an investor's decision *not* to participate would feel like an obvious miss.
Investors like Stacy Brown-Philpot and Aileen Lee now expect founders to demonstrate a clear, rapid path to massive scale early on. The old assumption that the next funding round would solve for scalability is gone; proof is required upfront.
Escape the trap of chasing top-line revenue. Instead, make contribution margin (revenue minus COGS, ad spend, and discounts) your primary success metric. This provides a truer picture of business health and aligns the entire organization around profitable, sustainable growth rather than vanity metrics.
When an idea is met with a "wall of skepticism" from investors, it can be a positive sign of a good, non-obvious market. If every VC immediately validates your idea, it's likely too obvious and crowded. Proving early skeptics wrong with traction is a powerful path to building a defensible business.
When Fal was debating its pivot, their investor Todd Jackson asked which idea would get to $1M ARR faster versus $10M ARR faster. This framework forced them to evaluate not just immediate traction but long-term market size and velocity. It provided the clarity needed to abandon a working product for one with a much higher ceiling.
When pitching a move away from legacy metrics like MQLs, don't just present flaws. Frame the new model as a superior, more predictable growth equation. Executives need a reliable forecasting model, so give them a new 'plug and play' formula to secure their buy-in.
Founders often believe fundraising failure stems from a lack of connections. However, for early-stage consumer brands with low sales figures, the real barrier is insufficient traction data. VCs need proof of scalability, like a major distribution deal, before they will invest, regardless of the introduction.
