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How to price your product | Naomi Ionita (Menlo Ventures)

Naomi Ionita is a Partner at the venture capital firm, Menlo Ventures. She started her career in engineering in 2002, shifted to product in 2006, and built product growth and monetization teams starting over a decade ago as one of the…

Naomi IonitaguestLenny Rachitskyhost
Jan 11, 202353mWatch on YouTube ↗

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At a glance

WHAT IT’S REALLY ABOUT

Naomi Ionita on pricing, monetization, and the modern growth stack

  1. Naomi Ionita, partner at Menlo Ventures and former growth leader at Evernote and Invoice2Go, explains how startups routinely undervalue and under-monetize their products. She highlights three common pricing mistakes: waiting too long to charge, underpricing (and lacking tiers), and treating pricing as a one-time decision. Naomi walks through a practical pricing process—customer research, value metrics, Van Westendorp surveys, and ongoing experimentation—and shares examples from Evernote, Invoice2Go, Envoy, and Figma. She then introduces her concept of the “modern growth stack”: a set of tools (for product-led sales, experimentation, billing, and AI-powered workflows) that sit on top of the modern data stack to help teams drive growth more efficiently.

IDEAS WORTH REMEMBERING

5 ideas

Start monetizing earlier and avoid overextending the free phase.

Using early users purely as R&D is fine, but waiting too long to charge cheapens perceived value, deprives you of key pricing feedback, and makes the eventual transition to paid more painful. Even with freemium, clarify that there will be paid plans and think strategically about where the paywall sits.

Match price to value using clear value metrics and multiple tiers.

Underpricing is usually less about a low base price and more about not segmenting by willingness to pay. Choose a value metric (e.g., API calls, messages, storage) that scales with customer value, and offer tiers for different personas so power users aren’t paying the same as casual ones.

Design freemium around the ‘aha’ moment and day‑1 vs. day‑100 needs.

Features required to reach the initial “never going back” moment and build habit should be free; advanced or scale-dependent capabilities can live in higher tiers. Keeping early plans simple and pushing complex, later-stage value into upsell tiers both improves UX and monetization.

Treat pricing like your product roadmap—iterate every 6–12 months.

As you ship meaningful product improvements, revisit pricing and packaging rather than ‘setting and forgetting’ them. Regular research, repricing, and tier adjustments can unlock substantial ARR lifts without massive engineering work.

Use structured customer research and frameworks to set initial prices.

Form a cross-functional pricing committee, interview and survey customers on feature importance, and use tools like the Van Westendorp price sensitivity meter to find acceptable price ranges. Combine feature demand (“must-have vs. nice-to-have”) with willingness-to-pay data to shape plans and price points.

WORDS WORTH SAVING

5 quotes

Do not set it and forget it. When your product development work is never done, neither is your pricing.

— Naomi Ionita

If guilt is one of the main reasons why people are paying you, then your free version is too good and you are leaving money on the table.

— Naomi Ionita

You can't retrofit collaboration. You have to be collaboration first.

— Naomi Ionita

I see companies wait way too long to make that shift from building a product to building a business.

— Naomi Ionita

I encourage you to experiment with pricing. Most companies regret not doing it sooner.

— Naomi Ionita

Read the available transcript
Common monetization and pricing mistakes in early-stage startupsHow and when to start charging for a B2B productDesigning freemium, day‑1 vs. day‑100 features, and value metricsA practical process for setting and evolving pricing (including Van Westendorp)Experimenting with pricing and its impact on ARR and growthCase studies: Evernote, Invoice2Go, Envoy, Figma, and PLG vs. enterpriseThe modern growth stack: tools for PLG sales, experimentation, billing, and AI-driven growth

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