Summit's four-year search for product-market fit via lead scoring

Executive overview

Building a broad platform without a clear use case leaves visitors confused and self-serve dead on arrival. Matt Wensing spent four years pivoting Summit — from SaaS simulation tool to low-code calculators to sales/marketing platform — before narrowing to lead scoring in late 2023.

The fix was not a marketing tweak. It was picking an existing product category so prospects immediately recognise what they are buying. Choosing a narrow, adjacent step in the customer workflow unlocked self-serve, reduced positioning noise, and gave the team a prescriptive playbook to run.

Broad platforms need a killer-app use case before self-serve can work.

The positioning problem

• A platform that "does everything" attracts curious early adopters, not the mainstream
• Visitors who cannot place a product in a known category rarely stay to find out
• High-touch sales can paper over a vague H1; self-serve cannot
• Summit ran successful projects with brands like ConvertKit — but the sales motion required heavy collaboration, blocking scale
• Switching to self-serve demanded a single, unmistakable entry point

Finding the adjacent use case

• Framework used: follow the workflow — what happens immediately after your product's output?
• Summit built lead magnets; the next step was qualifying those leads
• Lead scoring was the natural adjacent category: mathematical, scalable, matches Summit's calculator core
• The category is established but not hyper-competitive ("the Baltic Avenue of the Monopoly board")
• Building the lead-scoring app on top of their own platform took two to three weeks; repositioning took far longer

How lead scoring works

• Behaviour scoring: points assigned for actions (webinar sign-up, email click, site visit) — tracks purchase intent
• Persona fit scoring: matches an email address against ICP criteria (job title, company size, ClearBit data)
• Best prospects score high on both axes; the score surfaces who deserves a personal touch
• Replaces manual LinkedIn lookups that break down once lead volume scales

Deciding who to listen to during the search

• Customers are the primary signal — but current customers reflect today's priorities, not tomorrow's
• Being in Slack channels with a dozen-plus customers gave deep insight into how marketing is actually done
• Three filters applied: understand customer workflows, follow those workflows to an adjacent step, assess whether you can compete at that step
• Ignore the noise that cannot be traced back to one of those three sources

Staying small while raising venture capital

• Summit peaked at four people (including contractors); currently three
• Raising venture does not require scaling headcount early — the two decisions are separate
• Premature hiring locks in complexity: at 10–15 people, reversing course risks a spiral
• Small team = years of market discovery without burning through runway
• The platform vision is venture-scale (math as a horizontal layer across marketing); lead scoring is the first "game" bundled with the "console"

Ideal customer profile today

• Companies already investing heavily in paid acquisition or high-volume inbound
• Acquiring hundreds to thousands of leads per month where manual qualification has broken down
• Roughly $1M+ ARR, with sales hires in place and active lead-gen spend
• Not a fit for founder-led sales stage — at that point, talking to anyone is still the right move