Pricing During the PMF Search: Getting Your Price Right

Most founders get pricing wrong during PMF search.

They think: "Free MVP. Get to scale. Monetize later."

Result: 100,000 sign-ups. 0 revenue. No idea if anyone actually values the product.

Smart founders think: "Price something. Find real customers. Build from there."

This guide teaches you pricing strategy during PMF search.

The Pricing Dilemma

Free MVP:

• Pros: Fast adoption, easy to get first users, signals hype
• Cons: Attracts price-insensitive customers, you don't know if they value product, hard to convert later

Paid MVP:

• Pros: Early revenue signal, attracts customers who value product, learn if monetization works
• Cons: Slower adoption, small initial user base, need to convince people to pay without proof

The question: Which teaches you faster if you have PMF?

The Answer: Paid Freemium (Better of Both Worlds)

Structure:

• Free tier with core feature limited (e.g., 1 project vs. unlimited)
• Paid tier with full features ($10-50/month depending on market)

Why this works during PMF search:

1. Free tier gets you adoption (like free MVP)
2. Paid tier gets you revenue and value signals (like paid MVP)
3. Free-to-paid conversion rate tells you if people value product
4. Revenue helps runway (even if small)

Metric: If 5-10% of free users convert to paid, that's a strong signal.

Pricing Models During PMF

Model 1: Flat Rate Monthly (Recommended for MVP)

$19/month or $49/month

Why good during PMF:

• Simple to explain
• Easy for customers to understand
• Charges everyone same (doesn't require complex billing)
• You can change price easily if needed

When to use: B2B SaaS, most products

Model 2: Usage-Based Pricing

$0.01 per API call or credit-based system

Why good during PMF:

• Customers pay for value used
• You get revenue signal proportional to success
• No "should I upgrade?" conversation

When to use: High variance in usage (some customers use 10x more than others)

Downside: Harder to forecast revenue early

Model 3: Per-Seat Pricing

$10/user/month

Why good during PMF:

• More users = more revenue
• Aligns pricing with customer growth
• Customers willing to pay because product scales with them

When to use: Collaboration tools, team tools

Downside: Enterprise customers will negotiate (don't stress about this during PMF)

NOT RECOMMENDED During PMF

"Pay what you want"

• Feels generous. It's not useful for learning.
• Most people pay $0
• You learn almost nothing

"Free forever" freemium

• Too easy to stay free
• Conversion rates will be depressing
• You're not learning if people value it

How to Set Initial Price

Method 1: Anchor to Competitors

Look at similar tools:

• Notion is $10/month
• Slack is $8/user/month
• Airtable is $20/month

Pick comparable tier or slightly cheaper (25-30% discount as new entrant).

Method 2: Cost-Plus (Avoid)

"We'll charge $50/month to cover hosting + headcount."

Don't do this. Pricing isn't about cost. It's about value.

Method 3: Value-Based (Best)

"Our customer would save 5 hours/week using this. At $50/hour, that's $250 value/week. We'll charge $49/month."

This is real pricing.

How to do it:

• Interview customers: "If this saved you 5 hours/week, how much would it be worth?"
• Base price on their answer, not your costs

The Psychological Price Points

$9 vs. $10: Feels different. $9 feels "budget." $10 feels "standard."

$29 vs. $30: Same effect. $29 feels like a deal.

$49 vs. $50: $49 is psychologically a better price point than $50.

Rule: Use price ending in 9 ($9, $19, $49, $99) unless you're positioned as premium (then use round numbers like $100, $150, $200).

Free-to-Paid Conversion Benchmarks

During PMF search, what conversion rate signals success?

B2B SaaS:

• 1% free-to-paid = Weak signal. Most free users are tire-kickers.
• 5% free-to-paid = Good signal. Real interest.
• 10%+ free-to-paid = Strong signal. High demand.

B2C:

• 0.5% free-to-paid = Weak signal.
• 2% free-to-paid = Good signal.
• 5%+ free-to-paid = Strong signal.

(B2C conversion is lower because of impulse activity)

If your conversion rate is <1%:

• Either product isn't valuable, OR
• Free tier is too generous (upgrade isn't necessary), OR
• Paid tier isn't compelling (no value difference), OR
• Price is too high

Action: Analyze which. Change one variable. Test.

Price Mistakes During PMF Search

Mistake 1: Under-pricing Early

"Let's charge $5/month so we can get to scale."

Reality:

• You're teaching market "this is $5 value"
• Hard to raise price later (customers churn in protest)
• Attracts customers who are super price-sensitive (hard to retain)
• You learn nothing about value

Better: Start at $19-$49. You can always lower. Raising is hard.

Mistake 2: Over-pricing

"Let's charge $199/month because our product is premium."

Reality:

• If positioning isn't validated, high price kills all conversions
• You get ZERO customers
• You learn nothing because nobody's using it

Better: Start at $29-$49. Raise based on demand.

Mistake 3: Free Forever (No Premium)

"We'll stay free and figure out monetization later."

Reality:

• Everyone adopts free version
• Zero revenue signal
• When you launch paid, most churn (they got value for free)
• Hard to convert at that point

Better: Free tier + paid option from day 1.

Testing Price Points

You don't need perfect price. You need to test and learn.

Test 1: Start at $29/month

• Launch. Measure conversion rate.
• If 5%+ convert: Good. Keep it.
• If 1-2% convert: Price might be too high.

Test 2: Lower to $19/month

• Run for 2 weeks
• Measure conversion rate (should improve)
• If 5%+ convert: Found right price. Stick with it.

Test 3: Test more expensive tier

• Add $99/month tier with more features
• See if anyone upgrades from $29 to $99
• If 10%+ of $29 customers upgrade to $99: You have expansion revenue (very good signal)

Real Pricing Paths

Slack (Example):

• Launched: Free tier + $5/month paid
• Hypothesis: Teams will pay for persistent chat
• Result: Strong uptake, clear willingness to pay
• Today: $8-12.50/user/month

Notion (Example):

• Launched: Free tier with limited shared docs
• Paid: $5-10/month individual, $20+ for teams
• Hypothesis: Power users will pay for more storage
• Result: Strong free-to-paid conversion (data shows ~5-8%)
• Stayed with these prices for years

Linear (Example):

• Launched: Free tier, $10/user/month for teams
• Didn't launch freemium
• Used: Free trial instead
• Hypothesis: This is for power users, not casual users
• Result: Works. Higher price point, better customers

The One Variable Not to Change

Don't test everything simultaneously.

Bad: "We'll try $19, $29, and $49 at same time with different messaging."

→ You won't know what moved the needle.

Good: "Run at $19/month for 2 weeks. Measure. Move to $29."

→ You know each variable's impact.

Connection to PMF

Pricing is how you know if customers value your product.

Free tier tells you "is this interesting?" Paid tier tells you "is this valuable?"

You need both signals to know you have PMF.

Price Is a Lever

Price is one lever. You'll adjust it as you scale.

During PMF search, use pricing to test value hypothesis, not to maximize revenue.

Use Edmired to test pricing strategies and find your optimal price point during PMF search. Join the beta.