4.4.13 Value Proposition Test - Pre-Sales
At a Glance
Other names Pre-Sale · Presale · Pre-Order
In Brief
A pre-sales smoke test collects real payment — through pre-orders, deposits, or letters of intent — in exchange for a promise to deliver the product later. You ask prospects to put down money, not just express interest, before the product exists, then count how many convert and how much revenue they commit. A money commitment made before delivery tells you whether people will pay for your value proposition before you build it.
For a public, platform-hosted campaign with a crowd instead, see Crowdfunding.
Common Use Case
You have validated interest through interviews and landing page signups, but you need proof that people will pay before you invest in building the product. You set up a pre-order page, or take deposits directly, and ask prospects to put down real money — the strongest possible signal of demand.
Helps Answer
- Are customers willing to pay money for this product?
- Is the price point acceptable to the target audience?
- How many people will commit before the product exists?
Description
A pre-sales smoke test asks a prospect to prepay for a product that is not yet built, with delivery promised for a future date — the moment they pay, they become a paying customer rather than just an interested prospect. You take real money up front and treat the count of buyers and revenue collected as the demand signal. It sits at the highest commitment rung of the Value Proposition Test family — the strongest signal that family can produce. Pre-sales is direct prepayment you collect yourself through your own channel; for a public, platform-hosted campaign run on a third party, use Crowdfunding instead.
Ethics — This is real money. You are taking real payment for a product that does not exist yet. That is an obligation, not just a test: set honest delivery expectations, deliver what you promised, and refund in full and promptly if you decide not to build it. Taking money you cannot honor is fraud, not validation.
A prepaid order is a stronger signal than a click or a signup because the prospect is out of pocket until you deliver. Pre-sales produce both demand evidence and working capital. The risk runs the other way: a missed delivery date turns paying customers into refund requests and reputation damage, so plan delivery before you take the money. If you cannot deliver, refund promptly rather than stall.
How to
Prep
1. Define what you are testing.
A pre-sales test answers one question: will people pay real money for this? If you haven’t validated that people have the problem or want the solution, run interviews or a Fake Door Test first. Pre-sales is a high-commitment test — use it when you already have signals of interest and need to confirm willingness to pay.
2. Choose your pre-sales format.
- Pre-order page — The buyer pays full price (or a deposit) for a product you’ll deliver later. Best for physical products, software with a clear launch date, or services. Use a payment processor or e-commerce platform.
- Letter of intent / deposit — A prospect signs a non-binding commitment or puts down a refundable deposit. Best for B2B, high-ticket items, or services where full pre-payment is unusual. A signed LOI from a decision-maker is a strong signal even without money changing hands.
- Early access / founding member — The buyer pays a discounted rate for early access. Best for subscriptions, communities, or SaaS products.
If a public, platform-hosted campaign fits better than collecting payment yourself, run a Crowdfunding campaign instead — same money commitment, different (and noisier) platform-and-crowd dynamics.
3. Set your price and refund terms.
Price at or near your planned market price. Offering a large discount tests whether people want a deal, not whether they’ll pay for your product. Be transparent about delivery timelines and refund policies. If buyers can cancel at any time with a full refund, you’re testing interest, not commitment — that’s fine, but know what you’re measuring. Check your local consumer protection rules — in the US, the FTC’s Mail, Internet, or Telephone Order Merchandise Rule requires sellers to ship within the stated timeframe (or 30 days if no timeframe is stated) and to refund within seven working days if they cannot.
4. Set your success threshold before you launch.
Decide in advance how many pre-sales (or how much revenue) counts as a win. Common approaches:
- Unit target: “We need 50 pre-orders to justify a production run.”
- Revenue target: “We need $5,000 in pre-sales to cover initial development costs.”
- Conversion rate: “At least 3% of people who see the offer must buy.” (This only works if you know your traffic or audience size.)
If you don’t set a threshold up front, you’ll rationalize any result as success.
5. Create your sales assets.
Build only what you need to communicate the value proposition clearly:
- A product description or sales page that explains what the customer gets, when they’ll get it, and what it costs.
- Product renderings, mockups, or prototypes. AI image tools can generate realistic product visuals. Show prototypes or clearly labeled concepts — never fake product photos of something that doesn’t exist.
- Social proof if you have it: testimonials from interviews, pilot customers, or domain experts.
- A clear call to action: “Pre-order now,” “Back this project,” “Reserve your spot.”
6. Plan your distribution.
Pre-sales pages don’t sell themselves. Plan how you’ll drive traffic:
- Existing audience: Email list, social media followers, community members. If you have fewer than 500 contacts, supplement with other channels.
- Paid ads: Run targeted ads to the pre-sales page. Treat it as a Fake Door Test with a higher commitment bar.
- Direct outreach (B2B): Email or call prospects directly. 10 face-to-face pitches that produce 3 signed LOIs is a strong signal.
7. Set up tracking.
Track each stage from first view to final sale, not just the sales total:
- Page views or pitch meetings (top of funnel)
- Add-to-cart or expressed interest (middle)
- Completed purchases or signed commitments (bottom)
- Refund requests or cancellations (post-purchase)
The conversion rate at each step — the percentage of people who move on to the next stage, ending with those who actually pay — tells you where demand breaks down.
Execution
1. Launch the pre-sales offer.
Deploy exactly as designed. Don’t change the price, copy, or offer structure mid-campaign — changes invalidate your data. If you discover a critical error (broken payment link, wrong price), fix it and note the date.
2. Promote actively.
Pre-sales require active promotion, not passive waiting. Follow your distribution plan.
3. Track the funnel daily.
Monitor page views, add-to-carts, completed purchases, and refund requests. Watch for drop-off points. If people view the page but don’t buy, the price or messaging may be off. If they add to cart but abandon, the checkout process may be the issue.
4. Talk to buyers and non-buyers.
Reach out to people who bought and ask why. Reach out to people who showed interest but didn’t buy and ask what stopped them. These conversations are often more valuable than the sales numbers themselves.
Analysis
1. Calculate your conversion rate.
Conversion rate = completed purchases ÷ total page views (or total pitches) × 100. This is your primary metric.
2. Compare against your pre-set threshold.
- Above threshold: You have validated willingness to pay. Proceed to build and deliver to your pre-sale customers.
- Below threshold but close: Before giving up, test a different price point, messaging, or audience. A 2% conversion rate when you needed 3% might mean your copy is weak, not that demand is absent.
- Well below threshold (or zero): The value proposition at this price doesn’t resonate. Revisit your pricing, positioning, or target audience. Zero pre-sales with meaningful traffic is a clear signal.
3. Analyze refund and cancellation rates.
If many people buy and then cancel, you may have created artificial urgency or fear of missing out that drove impulsive purchases, not real demand. A refund rate above 20% is a warning sign. Net pre-sales (after refunds) is a more honest metric than gross pre-sales.
4. Segment your results.
If you have enough data, break conversion rates down by source (email list vs. ads vs. organic), by price tier (if you offered multiple options), or by customer type. This tells you which audience actually has willingness to pay, not just interest.
5. For small samples (under 30 purchases): Treat the results as directional. Focus on qualitative signals: What did buyers say when you asked why they purchased? What stopped non-buyers? Pair the sales data with 5–10 follow-up conversations to understand the “why” behind the numbers.
- Friends-and-family bias Your inner circle will buy to support you, not because they need the product. Exclude purchases from people you know personally when calculating your conversion rate. If all your pre-sales are from people you could text, you haven’t validated demand.
- Discount demand distortion A deeply discounted early-adopter price selects for deal-seekers, not genuine buyers, inflating conversion and obscuring the true willingness to pay at market price.
- FOMO-driven purchases Limited-time offers and countdown timers drive impulsive buying. Your refund rate will tell you whether purchases were genuine or pressure-driven.
- Traffic confound Zero pre-sales may reflect insufficient reach rather than absent demand. Check page-view counts before concluding the value proposition failed.
- Warm audience bias Your email list and social following are your warmest possible audience. High conversion from them doesn’t guarantee the same from cold traffic. Low conversion from a small, poorly targeted list doesn’t disprove demand either.
- Sunk cost after collecting money Once you’ve collected real money, it’s psychologically hard to decide not to build. But if follow-up conversations reveal the product won’t work, refunding is better than building something doomed.
- AI-inflated funnel bias AI tools make it cheap to generate mass interest signals (likes, signups, outreach replies) that look like demand. Pre-sales payment is the filter; treat any interest that did not convert to payment as unvalidated.
Learn more
Case Studies
Tesla: Model 3 reservations with $1,000 deposits
In April 2016, Tesla had collected close to 400,000 refundable $1,000 deposits for the Model 3 in the two weeks since unveiling, an implied ~$14B in pre-orders.
Coin: $50K pre-order goal in 40 minutes
Coin’s all-in-one electronic credit card hit its $50,000 pre-order goal in 40 minutes in 2013. (The product later struggled with delivery; the early pre-order velocity remains the demand signal of interest.)
Close.io: Selling sales services before the CRM existed
Steli Efti’s team at ElasticSales sold outsourced sales engagements to companies, using those paid engagements to fund and shape the eventual Close.io CRM.
Jolla: Pre-sales campaign for the Jolla Phone
In 2013 the Finnish mobile-OS startup Jolla closed its first pre-sales campaign for the Jolla Phone, using deposits to gauge demand for its Sailfish OS handset before scaling production.
Further reading
- Eric Ries — The Lean Startup (Crown Business, 2011)
- Steve Blank & Bob Dorf — The Startup Owner’s Manual (K&S Ranch, 2012)
- Kickstarter — “Kickstarter Is Not a Store”
- US FTC — Mail, Internet, or Telephone Order Merchandise Rule (16 CFR Part 435)
- Harvard Business Review — Sell Your Product Before It Exists
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