Pricing is arguably the most powerful lever you have to influence revenue and market perception, but it's also incredibly sensitive.
Most PMs treat pricing as someone else's problem — something finance or the CEO decides. This is a mistake. Pricing is a product decision because price communicates value. The price you set tells users what kind of product they are looking at before they have tried it.
Price equals perceived value
The foundational principle: price equals the user's perceived value, not your cost plus margin.
If users perceive your product as worth ₹20,000, that is the ceiling of what they will pay. If your cost plus markup comes to ₹15,000, you are leaving ₹5,000 on the table. If your cost plus markup comes to ₹25,000 but perceived value is ₹20,000, you will not get the sale regardless of your unit economics.
This matters for PMs because it means pricing decisions require user research. What is the actual value your product creates? How does the user measure that value? What would they pay to get that outcome through an alternative means?
A CRM that saves a sales team 10 hours per week is not priced by calculating the cost of building it. It is priced based on what 10 hours of sales team time is worth to the business — and what the customer is currently paying (in time, money, or friction) to achieve the same outcome.
The major pricing approaches
Cost-plus pricing: Calculate the total cost to produce the product, add a margin. Simple. Widely used. The problem: it ignores perceived value and competition. If users would pay twice your cost-plus price, you are underpricing. If your cost-plus price exceeds what users think the product is worth, you are overpricing regardless of your margins.
Cost-plus is useful as a floor — the minimum price below which you lose money — not as a standalone pricing strategy.
Value-based pricing: Price based on the economic value you create for the customer. This requires deep understanding of the customer's problem and alternatives. If your AI contract review tool reduces legal review time from 5 hours to 30 minutes per contract at a law firm processing 100 contracts a month, the value created is approximately 450 hours × the cost of legal review time. Your pricing should capture a fraction of that value.
Value-based pricing is the most defensible approach for differentiated products. It requires customer research and a clear value narrative, but it produces the highest margins and the strongest positioning.
Competitive pricing: Set prices relative to competitors. Common in commodity markets or when you are entering an established category where customers already have price anchors. In India's telecom sector, pricing is essentially competitive — any deviation from competitive rates requires justification. In competitive pricing, the risk is commoditization: when you compete on price, you invite price wars.
Freemium: A free tier covers basic use cases; paid tiers unlock advanced features. The free tier drives volume and customer acquisition; paid tiers capture revenue. This works when: the free tier delivers genuine value (not a crippled product), a meaningful percentage of free users will convert, and the cost to serve free users is manageable.
The trap: building a free tier that serves users so well they never need to upgrade. Freemium requires deliberate design of the free/paid boundary — not just "everything is free except the advanced stuff."
Tiered pricing: Multiple plans at different price points with different feature sets. Enables segmentation — capture value from users with different willingness to pay and different needs. Netflix's Basic/Standard/Premium model captures users across the price sensitivity spectrum while increasing ARPU over time.
How pricing affects product metrics
Pricing decisions ripple through your entire product metrics stack:
ARPU (Average Revenue Per User): Directly set by pricing. Changes in pricing tiers, upgrade flows, and expansion revenue all change ARPU.
LTV (Lifetime Value): ARPU × average customer lifespan. Pricing changes both components — higher price increases ARPU but can reduce lifespan if it increases churn.
CAC Payback Period: If you raise prices, the same customer acquisition cost takes fewer months to recover. Pricing changes your unit economics.
Conversion rate: Price is a conversion friction point. Higher prices reduce conversion rate among price-sensitive segments. This is not always bad — filtering for high-value users can improve LTV even if conversion drops.
Pricing in the Indian context
Indian markets are price-sensitive. Customers evaluate affordability relative to their business or personal income, not relative to what the product costs you to build.
A few practical notes:
- Enterprise customers in India often require multi-year contracts with annual payments — the month-to-month pricing that works in US markets is not always the default expectation.
- SMB customers are highly price-sensitive and benefit from EMI options, UPI integration, and volume discounts.
- Pricing in rupees with round numbers (₹9,999 vs ₹10,000) follows the same psychological pricing principles globally, but the relevant round number anchors differ by segment.
- Razorpay started with near-zero transaction fees to drive onboarding, then introduced value-added services. Meesho used zero-commission to onboard resellers before introducing paid features. These are Indian market penetration-then-monetize sequences that reflect how trust and adoption work in price-sensitive markets.
For a product you work on:
- What is the core value the product creates for users? Try to express it in economic terms — time saved, cost reduced, revenue increased.
- What would users pay to achieve the same outcome through an alternative means?
- Does your current pricing capture a reasonable fraction of the value you create?
If your pricing is below the value floor, you are subsidizing your customers. If it is above the perceived value ceiling, you are fighting every conversion. The goal is to price within the range where value is obvious and the price is defensible.