Of the twelve founders I've worked with who are between seed and Series A, eleven have underpriced their product at some point in their journey. Most have underpriced chronically. The one who didn't has raised their round.
Pricing is the highest-leverage lever founders don't pull. A 30% price increase with 20% churn still results in a net revenue gain. And at the pre-Series A stage, where your revenue multiple determines your valuation, pricing is fundraising.
Why Founders Underprice
The psychology is consistent. Most technical founders overestimate how much customers will resist higher prices and underestimate how much price signals quality. They're also afraid of losing customers they worked hard to acquire, even if those customers are at the wrong price point.
- ▸Fear of rejection (at low prices, fewer objections to process)
- ▸Mimicking competitors without understanding their cost structure
- ▸Conflating what customers say with what they do ('we'd never pay $X' often means 'we just bought it at $X')
- ▸Not having data on willingness-to-pay beyond initial sales calls
- ▸Anchoring to hourly freelancer rates instead of outcome-based value
The Series A Pricing Signal
Series A investors look at ACV (annual contract value) as a proxy for several things simultaneously: the seriousness of the buyer, the quality of the product's value prop, and the defensibility of the business. An ACV of $500/year signals something very different from $5,000/year, even at the same ARR.
“I've passed on companies with $2M ARR because their $19/month price point made me skeptical that they were selling to real buyers with real budgets. The math just doesn't work for where they want to go.”
— Series A investor, Inner Ping member
The Repackaging Framework
For founders who know they're underpriced but don't know how to change it without churning customers:
- 1.Grandfather existing customers at their current price for 12–18 months
- 2.Introduce a new pricing tier with new packaging for all new customers
- 3.Add one meaningful new feature or integration to justify the new price (even if it costs you almost nothing to build)
- 4.Test the new price with your next 10 prospects before rolling out broadly
- 5.Increase prices for grandfathered customers at renewal with 90 days notice
The right price is the one where your best customers don't complain much. If nobody is complaining about price, you're leaving money on the table.
Usage-Based vs. Seat-Based: The Current Debate
Usage-based pricing has become a dominant model in developer tools and infrastructure. It aligns incentives with customer success and scales naturally. But for pre-Series A companies, it creates unpredictable revenue — which is the last thing you want when a Series A investor is looking at your MRR trend.
The hybrid approach that works best in our portfolio: a committed minimum contract with usage-based upside. Customers commit to a floor, you capture expansion revenue above it. Predictable base, aligned incentives, scalable ceiling.
Pricing Experiments to Run Before Your Series A
- ▸A/B test your pricing page with two price points for 60 days — most teams never do this
- ▸Interview your 10 best customers specifically about pricing sensitivity
- ▸Review your churn data by price tier — higher-priced customers often churn less
- ▸Calculate your payback period and model the impact of a 25% price increase
- ▸Ask your three most recent sales losses whether price was the actual reason
The Pricing Ladder: A Case Study in 3x Revenue
One Inner Ping portfolio company — a B2B workflow automation tool — went from $40K MRR to $120K MRR in 5 months without adding a single net-new customer. Their only change: restructuring their pricing from a flat $299/month plan into three tiers at $199, $499, and $1,299/month. The counter-intuitive result: 62% of existing customers moved up to the $499 tier (not down to $199), and 14% moved to the $1,299 enterprise tier. The $199 tier served as an anchor that made $499 feel reasonable.
The lesson isn't 'add more tiers.' It's that most founders have never tested whether their current customers would pay substantially more for a marginally different package. The willingness-to-pay gap between what founders charge and what customers would accept is, on average, 40-60% in our portfolio data.
What Series A Investors Actually Model
Here's what most founders don't realize: Series A investors aren't just looking at your current ARR. They're modeling your path to $10M ARR and asking whether your pricing supports it. A $199/month product needs 4,200 customers to hit $10M ARR. A $2,000/month product needs 417. The sales motion, team size, and capital efficiency of those two paths are wildly different — and investors have strong opinions about which one they want to fund.
For B2B SaaS targeting Series A in 2026: ACV below $3K/year signals SMB, which requires efficient self-serve or product-led growth. ACV of $10-50K/year is the sweet spot for seed-to-A investors — big enough to signal enterprise readiness, small enough to sell without a 6-month cycle. ACV above $100K/year requires proof that you can close enterprise deals repeatedly, not just once.
The Net Revenue Retention Multiplier
The single most important pricing metric for Series A readiness is net revenue retention (NRR). Companies in our portfolio with NRR above 120% raised Series A rounds at a median 18x ARR multiple. Companies with NRR below 100% raised at 8x — or didn't raise at all. Pricing directly drives NRR through expansion revenue: usage-based upsells, seat additions, and tier upgrades. If your pricing architecture doesn't have a built-in expansion path, you're structurally capping your NRR.
“I tell every founder the same thing: show me a company with 130% NRR and I'll fund it at almost any valuation. Show me a company with 90% NRR and I don't care how fast they're growing — they're filling a leaky bucket.”
— Series A investor, Inner Ping member, $200M fund
Priya Kapoor
Priya has invested in 40+ early-stage startups and previously built two SaaS companies to acquisition. She writes about the intersection of community and capital.