How to price your product | Naomi Ionita (Menlo Ventures)
Naomi Iannita, a VC at Menlo Ventures and former growth leader at Evernote, discusses critical monetization strategies for startups, common pricing missteps, and her 'Modern Growth Stack' framework for leveraging new tools to drive product growth and revenue.
Deep Dive Analysis
16 Topic Outline
Naomi Ionita's Background and Career Journey
Evernote's Missed Opportunity: Single Player vs. Multiplayer
Common Monetization Mistakes Founders Make
Deciding Freemium vs. Paid Features: Day One vs. Day 100
Matching Price to Value and Customer Segmentation
When and How Often to Revisit Pricing Strategy
A Structured Process for Determining Product Pricing
The Significant Impact of Pricing Changes on Revenue
Balancing Growth and Revenue for Product-Led Growth Companies
Understanding the Modern Data Stack
Introducing the Modern Growth Stack: Themes and Layers
Product-Led Sales Tools and Their Impact
Experimentation Infrastructure and Tools
Platforms for Billing and Monetization Management
Hybrid Pricing Models in SaaS
Leveraging AI for Growth and Revenue Generation
7 Key Concepts
Day One vs. Day 100 Premium Features
Features that provide immediate value and delight, leading to habit formation, should be free or easily accessible (Day One). More advanced functionality or features whose value is derived from scale and later usage should be reserved for paid, advanced plans (Day 100).
Matching Price to Value
This framework involves aligning the product's price with the unit of value a user derives from it, often through usage-based metrics. It creates a natural escalator where revenue increases as people use the product more, helping to target different customer segments and maximize revenue.
Van Westendorp Pricing Model
A survey-based method used to understand customer willingness to pay. It involves asking users four questions: what price is so cheap it questions quality, what is a good deal, what is expensive but still acceptable, and what is prohibitively expensive, to plot curves and inform pricing.
Modern Data Stack
A collection of cloud-native tools designed to easily move and manage data. It typically includes a fully managed ELT data pipeline, a cloud-based data warehouse (like Snowflake or Redshift), a data transformation tool (like DBT), and a platform for data visualization.
Modern Growth Stack
An evolution of the modern data stack, focusing on the workflows that data enables to drive business forward for product growth and revenue teams. It represents the modern replacement for internally built infrastructure for activation, monetization, and retention, emphasizing data access, collaborative workflows, and measurable ROI.
Product-Led Sales
A strategy for product-led growth (PLG) businesses that leverages product usage data to inform customer-facing teams about which accounts are most likely to upgrade or expand. This helps identify 'free money' opportunities by shining a light on accounts that were previously overlooked, driving large account expansion.
Hybrid Pricing Model (SaaS)
The most common pricing approach in SaaS, combining a subscription model (e.g., good, better, best tiers) with a consumption component. Each tier typically includes a quota limit for a given value metric, with options for overages or triggers to upgrade to the next plan once limits are reached.
11 Questions Answered
Evernote struggled to evolve from a single-player tool to a collaborative, multiplayer platform, which capped its growth potential and prevented it from becoming a default, wall-to-wall enterprise solution.
Founders often wait too long to monetize, underprice their product (both base price and not segmenting with different plans), and 'set and forget' their pricing without revisiting it.
Core utility features that help users reach an 'aha moment' and form habits should be free, especially if they drive virality; more advanced functionality or features whose value is derived from scale should be reserved for paid, more advanced plans.
Companies should revisit their monetization strategy every six to twelve months, treating it like a product roadmap item, especially when launching meaningful new features.
Form a cross-functional pricing committee, conduct customer surveys and interviews to understand feature prioritization (e.g., must-have vs. nice-to-have) and willingness to pay (e.g., using the Van Westendorp method).
Pricing changes can have a massive impact; roughly half of companies instituting a pricing change saw at least a 25% increase in Annual Recurring Revenue (ARR), and a 1% improvement in monetization can have 4x the impact of a 1% improvement in acquisition on a company's bottom line.
Companies should invest in infrastructure for A/B testing, segment tests (e.g., by geographical region), and consider the long-term implications on churn and other metrics, tracking consumption and nudging users.
If a company has a clear path to move upmarket (e.g., from individual users to teams and enterprise), prioritizing growth through free usage can be worthwhile to drive community, product love, and eventual exponential monetization as the product becomes embedded in collaborative workflows.
The Modern Growth Stack provides better data access and interoperability, streamlines cross-functional workflows by enabling self-service for business teams, and drives hard ROI through cost reduction (automation) and revenue generation (better customer engagement and monetization).
The vast majority of SaaS companies use a hybrid pricing approach, combining a subscription model with good, better, best tiers, which includes a consumption component (quota limits for a value metric) within each tier.
AI is expected to significantly impact marketing and sales by improving performance in areas like ad copy generation, content creation (blogs), and outbound sales efforts, leading to both time savings and increased revenue.
15 Actionable Insights
1. Revisit Pricing Regularly
Treat your pricing like your product roadmap; revisit your monetization strategy every six to twelve months, especially when launching meaningful features, to ensure appropriate compensation for value delivered.
2. Don’t Delay Monetization
Avoid waiting too long to start charging for your product, as paying customers are the true signal of product-market fit and provide critical feedback loops on perceived value. Delaying monetization can inadvertently cheapen your product and lead to future backlash.
3. Avoid Underpricing Products
Don’t just set a base price too low; also ensure you offer different plans to cater to various customer segments, as a single premium tier often leaves money on the table.
4. Match Price to Value Metric
Pick a value metric (e.g., API calls, messages sent, storage used) that aligns with the unit of value users derive from your product, creating a natural escalator where you get paid more as people use it more.
5. Segment Pricing by User Value
Understand different customer segments and their perceived value of your product to create bifurcated pricing strategies, maximizing revenue by catering to varying willingness to pay.
6. Strategically Place Paywalls
For freemium models, ensure the core utility that gets users to their ‘aha moment’ and builds habit formation is free, but be strategic about where the paywall is placed to avoid giving away too much value.
7. Use Day 1 vs. Day 100 Features
Differentiate between ‘day one premium features’ that offer immediate value and ‘day 100 features’ which are advanced functionalities; push the latter into more advanced, pro versions to monetize through upsells down the road.
8. Form a Cross-Functional Pricing Committee
Establish a pricing committee with representatives from product, data, growth, sales, finance, and rev ops to ensure a holistic and iterative approach to pricing that is owned and evolved over time.
9. Conduct Customer Pricing Research
Talk to customers through surveys and interviews to understand feature prioritization (must-have vs. nice-to-have) and willingness to pay, using methods like Van Westendorp’s questions to inform pricing decisions.
10. Experiment with Pricing Changes
Actively experiment with different value metrics, quota limits, price points, and promotions, tracking long-term implications on churn, user growth, retention, and ARPU. Consider segmenting tests by geo (e.g., Canada or Australia before the U.S.) to constrain experimentation.
11. Be Willing to Lose Deals on Price
In enterprise conversations, continuously ask for more to understand the upper bound of customer willingness to pay; losing 20-30% of deals due to price is reasonable to gauge the limit.
12. Optimize for Growth in Multiplayer PLG
If building a multiplayer, product-led growth (PLG) product with a clear path to move upmarket (team/enterprise), prioritize individual user adoption and organic growth over immediate monetization, as this can lead to exponential revenue later.
13. Leverage Modern Growth Stack Tools
Utilize specialized cloud-native tools for product-led sales (e.g., Endgame, Pocus), experimentation (e.g., EPPO, Amplitude), billing and monetization (e.g., Metronome, Orb), and generative AI to automate workflows, break down data silos, and drive hard ROI.
14. Consider Hybrid Pricing Models
Adopt a hybrid pricing approach that combines good, better, best subscription models with consumption components (quota limits) across tiers, balancing the predictability buyers desire with the natural escalation of usage-based models.
15. Use AI for Growth & Revenue
Apply generative AI to marketing (e.g., ad copy), sales (e.g., outbound efforts), and customer support to save time, improve performance, and drive revenue, especially in areas where human effort is currently high.
6 Key Quotes
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
Do not set it and forget it. I see companies do this where they labor over designs and features and they build this perfect product that's delightful to use and then pricing sort of plucked out of thin air and then they don't revisit it.
Naomi Ionita
You can't retrofit collaboration. You have to be collaboration first.
Naomi Ionita
The impact with an improvement on monetization was 4x that of acquisition.
Naomi Ionita
It's really free money when you shine a light on an account that nobody was paying attention to.
Naomi Ionita
Something on the order of 20 to 30% is reasonable so that you can get a sense for where the limit might be.
Naomi Ionita
1 Protocols
Cross-Functional Pricing Determination Process
Naomi Ionita- Put together a cross-functional pricing committee, including PMs, data scientists (for PLG companies), or sales, finance, and rev ops (for enterprise SaaS).
- Commit to being that cross-functional team that really owns and iterates on pricing over time.
- Talk to customers through surveys and interviews to understand what they want or value.
- Make a list of features (existing and new) and have people rank them as must-have, nice-to-have, or not-necessary, or use a 100-point allocation method to understand feature demand.
- Use the Van Westendorp method to understand willingness to pay by asking what price is too cheap (questioning quality), a good deal, expensive but still acceptable, and prohibitively expensive.