Pricing gets handed to whoever owns the spreadsheet, finance, usually, or a founder doing margin math late at night, and treated as a calculation: cost plus margin, benchmarked loosely against competitors, finalised once and rarely revisited as a strategic lever.
That undersells what pricing actually does. It’s one of the most powerful GTM decisions a company makes, because it doesn’t just determine revenue per customer. It determines who self-selects into buying at all, and what kind of sales motion the company ends up needing to support.
A price isn’t just a number. It’s a filter, sorting potential customers into those who’ll convert easily and those who’ll need convincing, before a single sales conversation has happened. Price it too low relative to the value being delivered, and a company can end up serving a customer base that’s price-sensitive, hard to retain, and expensive to support relative to what they pay, a self-serve motion forced to behave like one even though the customers it attracted need significant hand-holding. Price it too high without the trust signals to support that price, and the company filters out customers who would have genuinely valued the product, simply because nothing in the experience justified the number before they were ready to believe it.
This becomes a sharper strategic question in a market where pricing psychology has been actively shaped by years of conditioning that most GTM plans don’t account for. A decade of aggressive e-commerce discounting has trained a meaningful share of Indian consumers to treat a listed price as a starting point for negotiation or a number to be discounted away, not a final figure to be accepted at face value. Instalment-based and EMI purchasing has normalised breaking larger prices into smaller, more digestible commitments, which changes how a price needs to be presented even when the total cost is identical. A company importing a clean, single-price, no-discount positioning from a market where that signals premium confidence can find the exact same positioning reading, here, as simply expensive and inflexible, not because the price itself is wrong, but because the presentation doesn’t match how the customer has been trained to evaluate a price at all.
The costliest mistake in this decision, watched across enough companies making it, usually isn’t setting the wrong number. It’s treating the pricing decision as separate from the GTM motion it’s meant to support. A self-serve motion needs a price low enough, and clear enough, that a customer can decide alone without a conversation. A high-touch, relationship-driven motion can support a higher price specifically because the relationship itself is doing the trust-building work that a self-serve flow would have to do through the price and the page alone. Set the wrong price for the motion you’re actually running, and the mismatch doesn’t show up as a pricing problem in the data. It shows up as a confusing, underperforming GTM motion that everyone keeps trying to fix by adjusting the wrong lever.
There’s a specific version of this mistake that almost never gets named directly, and it costs companies real revenue for years without anyone connecting it back to a pricing decision: the price set for the first customers, when trust had to be built entirely from scratch, quietly becomes the permanent price, long after the company has accumulated exactly the kind of proof that should have let it charge more. Early pricing is often deliberately low, because a brand-new, unproven company is asking someone to take a real risk, and the discount is compensation for that risk. That’s a reasonable trade in month one. The problem is that almost nobody revisits it once the company has case studies, reviews, a recognisable name, and a much shorter path to trust than it had at the start. The price stays anchored to a level of doubt the company no longer actually has to overcome, and every customer who would have paid more, simply because the trust-building work is now mostly already done by reputation instead of by discount, gets charged as though none of that proof exists yet. This isn’t a pricing mistake in the usual sense of picking the wrong number. It’s a failure to notice that the correct number moves as the GTM motion accumulates trust, and that a price frozen at its earliest, most trust-starved moment quietly becomes a permanent subsidy to customers who no longer need one.
A second, related bias shows up specifically in founder-led pricing decisions, and it’s worth naming because it’s nearly invisible from the inside: founders tend to price based on what they personally would find reasonable to pay, rather than what the specific decision profile of their actual buyer requires. A founder comfortable with financial risk, evaluating tools quickly and independently, will often underprice a product meant for a buyer who needs six weeks, three stakeholders, and a procurement process before they’re comfortable committing to anything, because the founder is unconsciously pricing for a version of the buyer that resembles themselves. The fix isn’t a formula. It’s deliberately asking who actually has to say yes to this price, and how that person’s risk tolerance and decision process differs from the founder’s own, before finalising a number that may have been calibrated against the wrong psychology entirely.
Picture a company six quarters in, still charging what it charged in month two, on the theory that the price has “worked so far” and changing it risks losing momentum. What’s actually happened is that the price was calibrated to convince a stranger with zero reasons to trust the company, and the company now has eighteen months of case studies, a recognisable name in its category, and a queue of inbound interest that didn’t exist at launch, none of which is reflected anywhere in what new customers are asked to pay. The company isn’t pricing for the customer walking in the door today. It’s still pricing for the customer who walked in on day one, and quietly leaving money on the table with every new signup, mistaking a price that once worked for a price that’s still correct.
Worth checking against your current price, twice: does it match the level of trust your GTM motion is actually capable of building before someone has to decide, and separately, does it still reflect how much trust the company has to build from scratch today, or is it still calibrated to a level of doubt that reputation and proof have already erased. If a customer hesitates at this price, the real fix might be a different number. It might also be that the number was right eighteen months ago and nobody has adjusted it since the actual cost of convincing someone dropped.
Pricing decided purely in a spreadsheet optimises for margin on paper and ignores what the number is actually doing in the market: filtering who shows up, signalling what kind of relationship the company is offering before a single word gets exchanged, and, if left unexamined, quietly refusing to reflect how much less convincing the company has to do than it once did.
Every business has its own version of this story. If you're working through something similar, I’d love to hear from you. Whether it's to exchange ideas, brainstorm a challenge, or just have a thoughtful conversation, feel free to reach out at [email protected].