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Switching CostsvsPricing Strategy

Both are essential business concepts — but they measure very different things.

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The Concept

🔒Switching Costs

Switching costs are the barriers (financial, procedural, emotional) that make it expensive or difficult for a customer to switch to a competitor. Higher switching costs = higher retention and pricing power. There are 4 types: Financial (Salesforce's $10K+ migration cost), Procedural (retraining 200 employees on a new CRM takes 6 months), Data (your 5 years of Slack messages are trapped), and Emotional (brand loyalty, familiarity). Apple's ecosystem has all four: $2,000+ in repurchased apps, learning a new OS, losing iMessage/AirDrop interoperability, and identity attachment. This is why Apple's iPhone retention rate exceeds 92%.

🏷️Pricing Strategy

Pricing strategy determines how much you charge customers and directly impacts revenue, positioning, and perceived value. The three primary approaches: (1) Cost-Plus: price = cost + margin (lazy, leaves money on the table). (2) Competitor-Based: match or undercut competitors (race to the bottom). (3) Value-Based: charge 10-20% of the value you create for the customer (optimal). If your product saves a customer $50,000/year, charging $5,000/year (10% of value) is the sweet spot. The customer gets 10x ROI, and you capture meaningful revenue. Pricing is the fastest lever for revenue growth — a 1% price increase typically adds 11% to profits.

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The Trap

🔒Switching Costs

The trap is building switching costs through lock-in that customers resent instead of value they can't replicate. If your switching costs come from making it HARD to leave (hiding the export button, proprietary data formats), customers will leave the moment a competitor makes it easier. Oracle's notoriously complex contracts created resentment-based switching costs that drove the 'Oracle exit' movement. But Notion's switching costs come from VALUE — your team has built 1,000+ pages of documented processes that work because of Notion's specific features. When switching costs come from accumulated value, customers don't want to leave.

🏷️Pricing Strategy

The biggest trap is pricing based on cost ('it costs $10 to deliver, so I'll charge $15'). This leaves massive value on the table. If your product saves a customer $10,000/year, charging $50/month ($600/year) captures only 6% of value — criminally underpriced regardless of your costs. The second trap: not testing prices. Most SaaS companies set pricing once and never change it. You should test pricing quarterly. The third trap: too many tiers. More than 3-4 tiers creates decision paralysis. Dropbox went from 4 tiers to 3 and saw conversion increase 15%.

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The Action

🔒Switching Costs

Audit your switching cost stack using the 4-type framework: (1) Financial: What would a customer spend to switch? (Migration cost + new tool cost + lost productivity). Target: 6+ months of revenue equivalent. (2) Procedural: How long does it take to reach current productivity on a competitor? Target: 3+ months. (3) Data: How much irreplaceable data/history lives in your product? Target: 12+ months of accumulated data. (4) Emotional: How does the customer identify with your brand? Calculate your 'Switching Cost Score' by rating each type 1-5 and summing. Score of 12+ = strong retention moat.

🏷️Pricing Strategy

Use value-based pricing: (1) Interview 10 customers and ask: 'How much money or time does our product save you?' (2) Calculate the average value created. (3) Price at 10-20% of that value. (4) Create 3 tiers (Starter, Pro, Enterprise) with clear feature differentiation. (5) Test annually: A/B test pricing pages, conduct Van Westendorp surveys, and monitor win rates by price point.

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Formulas

Total Switching Cost = Migration Cost + Retraining Cost + Productivity Loss + Data Migration Risk
Optimal Price ≈ 10–20% of the $ value your product creates for the customer

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