What traction actually means at each stage, the metrics that move investors, and how to present a curve that wins term sheets.
Traction is evidence that people outside your company want what you built and will keep coming back for it. Investors do not read traction as a single number; they read it as a curve. A modest number with a steep, repeatable slope beats a large number that arrived once and flattened.
Practically, traction is the smallest set of facts that proves demand: how many customers, how fast that count is growing, how much they pay, how long they stay, and how much it costs to get the next one. Everything else on a traction slide is commentary.
Pre-seed: usage and conversation evidence. Design partners signed, waitlist-to-activation rate, weekly active usage from people with no relationship to the founders, and letters of intent with named buyers.
Seed: early revenue and retention. For B2B SaaS, roughly $10K-$50K MRR with month-over-month growth in the 10-20% range, logo retention above 85%, and a repeatable source of the last ten customers. For consumer, D7 and D30 retention curves that flatten rather than decay to zero.
Series A: efficiency and predictability. $1M-$2M ARR is the common bar, with net revenue retention above 100% for B2B, CAC payback inside 12-18 months, and a pipeline model that explains next quarter rather than describing last quarter.
Show one chart with one metric, monthly, on an absolute axis. Cumulative charts always go up and investors discount them automatically. Label the months where something changed - a pricing move, a channel that started working, a large logo - so the slope has a cause.
State the metric definition on the slide. "Revenue" that mixes pilots, LOIs and collected cash reads as a red flag the moment diligence starts. Investors reward a smaller honest number they can verify over a larger number they have to unpick.
Pre-product companies still raise, but on different evidence: founder-market fit, a working prototype in the hands of real users, and a small number of specific buyers who will describe the problem in their own words. Substitute depth of evidence for volume of it.
Ten customer interviews with verbatim quotes and three signed design-partner agreements is a stronger pre-seed story than a vanity waitlist of ten thousand emails.
Common failures: reporting cumulative signups instead of active users, hiding churn behind gross revenue, showing a growth rate calculated off a tiny base without the base, and mixing paid and free users into one line. Each is discoverable in diligence, and each converts a soft yes into a pass.
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