Pricing is the only element of the marketing mix that produces revenue. It's also the one founders spend the least time on — most set prices once and never revisit them. Here's the framework used by high-growth companies.
The 5 Pricing Methods
1. Cost-Plus Pricing
Formula: Price = Cost × (1 + markup%)
Example: Product costs $20 to make → sells for $40 (100% markup, 50% margin)
When it's valid: Commodity markets where price is primarily determined by supply/demand, not perceived value.
When it fails: Almost everywhere else. Cost is irrelevant to buyers. A $2 aspirin vs. $2 generic ibuprofen — the aspirin brand sells at 3x price because of brand perception, not cost difference.
2. Competitive Pricing
Formula: Price at/above/below the market median
Risk: Positions you in direct commodity competition. Competing on price is a race to the bottom unless you have structural cost advantages.
When it works: When differentiation is genuinely minimal and customers primarily decide on price.
3. Value-Based Pricing
Formula: Price = % of value delivered to customer
Example: Software that saves a $200K/year engineer 20% of their time → $40K/year in productivity value → software can justify $8,000-12,000/year (20-30% of delivered value).
The research: Companies that switch to value-based pricing see 15-25% revenue increase without any change to product.
Implementation:
- Quantify the value your product delivers (time saved × hourly rate, revenue gained, costs avoided)
- Determine willingness to pay (surveys, interviews, price tests)
- Set price at 15-30% of total value delivered
- Communicate value explicitly in sales/marketing
4. Psychological Pricing
Research-backed tactics:
| Tactic | Effect | Mechanism |
|---|---|---|
| $99 vs $100 | 20-30% more sales | Left-digit effect |
| 3 tiers (decoy in middle) | 60-70% choose middle | Compromise effect |
| Price anchoring (show higher price first) | +15-25% conversion on lower price | Anchoring bias |
| "Save $X" vs "X% off" | Larger absolute = better for high-price, % better for low-price | Magnitude perception |
| Free tier or trial | +200-400% conversion vs. no trial | Risk reversal |
5. Dynamic Pricing
How it works: Price varies based on demand, time, inventory, customer segment.
E-commerce examples:
- Airlines, hotels: price rises as inventory depletes
- Retail: flash sales, time-limited offers
- SaaS: annual commitment vs. monthly = 10-20% discount
Implementation complexity: High. Requires price testing infrastructure. Best for companies at significant scale.
Price Elasticity by Category
How price changes affect demand:
| Category | Price elasticity |
|---|---|
| Luxury goods | Inelastic (< 1) — demand barely changes with price |
| Software (business critical) | Inelastic — switching costs prevent price sensitivity |
| Commodity e-commerce | Elastic (> 1) — consumers comparison-shop |
| Food/grocery | Elastic for non-essentials |
| Healthcare | Very inelastic — necessity, no alternatives |
| Entertainment | Elastic — many substitutes |
Implication: The less elastic your market, the more aggressive your pricing can be relative to costs.
Price Testing Protocol
Before committing to a price, test it:
A/B price test:
- Show different price to different visitors
- Measure conversion rate AND revenue per visitor (a lower price with higher conversion may have lower RPV)
- Run for minimum 2 weeks, 1,000+ visitors per variant
Van Westendorp Price Sensitivity Meter: Survey questions:
- "At what price is this too cheap (feels suspicious)?"
- "At what price is this cheap (good value)?"
- "At what price is this expensive (but you'd still consider it)?"
- "At what price is this too expensive?"
The "acceptable price range" is between the intersection of "too cheap" and "too expensive" curves. Most founders find their instinctive price sits below the acceptable range.
Common Pricing Mistakes
| Mistake | Impact |
|---|---|
| Pricing too low from fear | Undermines perceived quality, attracts low-LTV customers |
| Never raising prices | Customers expect perpetual pricing; inflation erodes margins |
| Too many tiers | Paradox of choice — customers freeze |
| Not price-testing | Leaving money on the table or losing customers unnecessarily |
| Discounting too easily | Trains customers to wait for sales |
Discounting research: Frequent discounting reduces willingness to pay by an average of 30% over time. Customers learn to wait. Reserve discounts for strategic reasons (win-back, annual commitment, partners), not as default sales closing tool.
How to Raise Prices Without Losing Customers
Tactics with research support:
- Grandfather existing customers for 12 months — loyalty reward, minimizes churn
- Frame as feature unlock — price increase accompanies added value
- Annual plan incentive — offer annual pricing lock-in at current price before increase
- Segment by cohort — new customers get new pricing; existing customers phased in
Price increases of 10-15% executed well typically result in < 3% customer churn. At 70%+ gross margins, 3% churn is more than offset by the revenue increase from the 97% who stay.
Use the Product Pricing Calculator to model different pricing scenarios and their impact on revenue and margin.