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Business models investors understand

A clear business model helps investors understand how the company will make money and what evidence to ask for. Explain who pays, what they pay for and the costs of serving them. A familiar model with convincing evidence is easier to assess than a complicated description of several models combined.
Foundation7 min readLast reviewed 2 September, 2026From the investor’s perspective

Why investors think in model patterns

Investors can use familiar model types to choose relevant metrics, comparable businesses, margin assumptions and risks. Their experience varies, so explain the model before relying on shared terminology.

A clear model helps investors ask better questions and explain the opportunity to others. An unfamiliar model can take longer to assess, but unfamiliarity alone does not establish its value.

Genuinely new models exist and get funded. Describe the company in the vocabulary the room already has, and spend the meeting on what is new.

The family names are in ordinary commercial use and belong to no one framework. The fuller catalogues, if you want them, are Gassmann, Frankenberger and Csik’s set of 55 recurring business-model patterns, and Osterwalder and Pigneur’s business model canvas.

The recognised model families and what each must prove

Use the table as a starting point for selecting evidence. Adapt it to the company’s stage and risks; no single measure proves a model.

ModelRevenue mechanismEvidence to examine
Subscription and software as a serviceRecurring user or account payments, monthly or annuallyRetention, renewals, account revenue and margins over a relevant period; distinguish early cohorts from a full year of history
Transaction marketplaceCommission or fees on transactions between groupsRepeat activity, matching success, incentives and the manual work and cost required per transaction
Direct product salesSales revenue less relevant product and selling costsContribution margin after acquisition and fulfilment costs; repeat purchases where the product naturally supports them
Hardware with servicesEquipment sales or rental plus services or consumablesContracted and realised recurring revenue, hardware margins and credible production-volume assumptions
Licensing and IPPayment for permission to use technology or contentOwnership or adequate licensing and sublicensing rights, enforceability where relevant, and evidence of independent willingness to pay
Services to productBillable work supporting a later standardised productRepeated delivery with less custom work and a credible margin improvement after product costs
Public-sector salesContracts with municipalities, agencies or health trusts under the applicable procurement routeActual orders, payments, procurement progress and renewal prospects. A framework agreement does not by itself guarantee volume; distinguish pilots, intentions and binding orders

Public-sector customers can require planning around procurement procedures, framework call-offs and budgets. These describe a customer segment and sales process, rather than a separate revenue mechanism: explain whether you earn subscriptions, licence fees, product sales or service revenue.

If you combine models, explain the contribution and evidence for each. If services fund a transition to a product, show that explicitly. Do not present an untested model as established revenue.

What every model must prove regardless

Every model needs a credible way to generate enough revenue to cover its costs over time. That may involve repeat customers, one-off sales or a mixture. Failure reports can suggest assumptions worth testing, without predicting an individual company’s outcome.

CB Insights’ analysis dated 5 March 2026 covered 431 VC-backed companies that shut down since 2023. Reasons were identifiable for 385; 70% of that subset cited running out of capital. The sample concerns failed companies with public information, not the probability that a startup will fail.

Poor product-market fit was cited in 43%, bad timing in 29% and unsustainable unit economics in 19%. Companies could have several reasons, so the percentages are not mutually exclusive. CB Insights distinguishes running out of money from the underlying commercial problems.

Turn those causes into questions about your own model. Prepare answers before your investor meetings.

  • Does anyone need this enough to pay for it.
  • Do they need it now, or in five years.
  • Does the money left after serving them cover the cost of finding the next one.

Product-market fit is the term investors use for the first of those. The definition worth holding to is Marc Andreessen’s, from 2007, crediting Andy Rachleff for the underlying idea.

Andreessen describes product-market fit as a product meeting demand in a good market. His vivid account of customers buying as fast as the product can be made illustrates strong demand; it is not a universal numerical threshold. Look for behaviour such as use, payment and retention, rather than relying only on favourable survey responses.

Stating your model in one sentence

Write the sentence before writing the slide. It names who pays, for what, how often and at what price, all four parts and no adjectives.

A clear sentence gives an investor a starting point, but supporting evidence is still needed. Use these six questions to check the wider explanation; not every investor follows the same checklist.

  • Is there a value proposition.
  • Is the team credible.
  • Is the customer base large enough.
  • Are the channels to reach it effective.
  • Does the solution genuinely fit the problem.
  • Can this scale far enough to lead a market.

Check your sentence for these common gaps before the meeting, so investors can spend the time assessing your business rather than asking for missing information.

  • Who pays is missing, or the payer differs from the user without explanation.
  • A wide price range is given without explaining segments, packages or what has been tested.
  • Payment frequency is missing, making recurring revenue hard to distinguish from repeated one-off sales.
  • Several models are presented without showing which are tested and which remain assumptions.

Working the sentence out on a lean canvas, in Ash Maurya’s version of the format, is a reasonable way to get there. The canvas is a thinking tool and stays with you; what goes to investors is the sentence and the evidence behind it.

When the model is not yet proven

Before revenue, describe the model openly as a hypothesis. What counts as honest evidence at that stage is narrow but real:

  • Letters of intent specifying a price and clearly stating binding and non-binding elements.
  • Paid pilots, distinguishing pilot terms from expected full-scale sales.
  • Waiting lists with deposits, including refund and cancellation conditions.
  • A distribution partner’s concrete commitment of money or resources, with conditions made explicit.

Unpriced interest can help you learn about a problem, but does not establish willingness to pay a particular price. A total addressable market estimate likewise does not demonstrate that you can acquire customers.

State the assumption and test. For example: “We think operations managers will pay NOK 4,000 per plant per month. Three pay that in pilots. The round funds a plan to reach thirty.” Investors can then examine the pilots, conversion assumptions, costs and plan; the sentence alone does not justify investment.

“The market is worth NOK 2 billion and we need 1%” leaves the route to customers unexplained. Show how the proposed customer count, pricing and acquisition process support the target.

What you show depends on which raise this is. The model sentence stays the same; the evidence behind it has to grow.

  • First raise. Name the model and distinguish evidence from assumptions. Paid pilots can support willingness to pay; interviews may still be essential for understanding needs.
  • Later raise. Show what previous capital enabled and how relevant metrics developed. The appropriate evidence depends on the stage, not simply the number of rounds.
  • With a lead. Discuss which evidence matters to the investment assessment and why. Do not let one metric hide other important risks.
  • Without a lead. Give investors a consistent explanation and evidence base, while allowing different questions.

Model changes are read through the same pattern recognition. A pivot with a stated reason (what was tested, what the customers did instead, what changed) reads as a team that learns, which is one of the few things an investor can assess pre-revenue.

If you present the change as though it had always been the plan, investors may question your direction and whether you will tell them about future changes.

Key takeaways

  • A recognisable model helps investors choose relevant metrics and comparisons. An unfamiliar model needs a clear explanation; it does not automatically deserve a lower valuation.
  • Choose evidence that tests the important assumptions in your model. The relevant measures depend on stage, customers and how you earn revenue.
  • CB Insights reviewed 431 VC-backed shutdowns in March 2026 and identified reasons for 385. In that subset, 70% cited running out of capital and 43% poor product-market fit. Multiple reasons could apply.
  • Summarise who pays, for what, how often and at what price in one sentence. Explain material exceptions separately; a concise summary is a communication tool, not proof of a viable model.
  • A pivot with a stated reason reads as learning. A model that changes between two meetings with no reason reads as drift.

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