Skip to main content

Pricing

Price is what you pay and value is what you get.

Pricing Algorithm

Dynamic pricing as human-to-human (H2H) proof of value exchange — buyer and expert meet in the middle on a price that reflects the value delivered, not the cost base. Both sides see the same value at stake, so the price the exchange settles on is fair to each.

Establish value to the customer, not the cost base plus a notional amount. Pricing is positioning made numeric — get the position wrong and no formula saves you.

Algorithm

Principles informing the algorithm include

Five steps. Each produces a number. Skip one and the price is a guess.

Step 1: Anchor

Map 3-7 competitors. Extract floor and ceiling.

Competitor TypePrice RangeWhat They Sell
Below you (cheap)FloorVolume without strategy
Adjacent (similar)MidpointComparable scope
Above you (premium)CeilingBrand premium or full-service

Output: Anchor midpoint = average of adjacent competitors.

Step 2: Score Demand

Four factors, each 1-5. Multiply to get the demand multiplier.

Factor1 (Weak)3 (Moderate)5 (Strong)
Pain intensityMild annoyanceRegular frustrationHair-on-fire problem
Willingness to payExpects freePays grudginglyThrows money at it
AlternativesMany good optionsSome options, none greatNo real alternative
UrgencySomedayThis quarterThis week

Demand multiplier = (Sum of 4 scores) / 12

Range: 0.33 (all 1s) to 1.67 (all 5s). Midpoint = 1.0.

Step 3: Score Supply

Three factors, each 1-5. Your right to charge.

Factor1 (Weak)3 (Moderate)5 (Strong)
Expertise depthLearning on the jobCompetent practitionerRecognized authority
Capacity scarcityWide open calendarSelectiveWaitlist
Track recordZero proofSome resultsDocumented case studies

Supply multiplier = (Sum of 3 scores) / 9

Range: 0.33 to 1.67.

Step 4: Calculate

Target price = Anchor midpoint x Demand multiplier x Supply multiplier

Step 5: Validate

Run four checks before committing:

CheckThresholdIf Fails
Gross margin≥60%Raise price or cut delivery scope
Kill thresholdDelivery hours <2x estimateReprice or reduce scope
LTV:CAC≥3:1Fix acquisition channel first
Prospect reaction"That's reasonable" or "tell me more"Reframe value, don't discount

Worked Example

Trail Builder tier from Berley Trails — a $2,500/month positioning retainer.

Step 1: Anchor

CompetitorMonthly PriceWhat They Sell
Freelance content writers$500-$2,000Blog posts without strategy
Boutique marketing agencies$3,000-$15,000Full-service campaigns
Business coaches$800-$2,000Advice without execution
HubSpot platform$800-$3,200Software without strategy
LinkedIn lead gen$1,000-$3,000Outbound automation

Adjacent competitors (coaches + freelancers + LinkedIn): $500-$3,000.

Anchor midpoint: $1,750/month.

Step 2: Demand

FactorScoreEvidence
Pain intensity415-25 hrs/week on biz dev that resets monthly
Willingness to pay3Already spending $2,000-5,000/month on marketing (UNVALIDATED for positioning specifically)
Alternatives3Agencies exist but don't do positioning-first
Urgency3AI window 2-3 years — not urgent but timely

Demand multiplier = 13/12 = 1.08

Step 3: Supply

FactorScoreEvidence
Expertise depth3Systems thinking background, framework documented
Capacity scarcity2Wide open — pre-launch
Track record1Zero clients, zero case studies

Supply multiplier = 6/9 = 0.67

Step 4: Calculate

$1,750 x 1.08 x 0.67 = $1,266/month

Step 5: Validate

CheckResultPass?
Gross margin60% at $2,500 (15 hrs x $67/hr delivery)Yes at actual price
Kill thresholdModel breaks at 2x hours (30 hrs = 20% margin)Flagged
LTV:CAC30:1 if referral-sourcedYes
Prospect reactionUNVALIDATEDUnknown

The Gap

Algorithm output: $1,266/month. Actual price: $2,500/month.

The $1,234 gap is the positioning premium — the bet that fish psychology, ecosystem thinking, and framework IP justify nearly 2x the calculated price. This gap closes as supply scores improve (case studies, waitlist, authority). If it doesn't close and prospects reject $2,500, the algorithm says $1,266 is the honest price.

Context

Questions

If price is what you pay and value is what you get, how do you measure the gap between them?

  • What does your essential algorithm route — and does the price reflect the routing intelligence or just the output?
  • When the matrix shows a high disruption score but low density, does that justify premium pricing or prove the market doesn't exist yet?