Jan 12, 2023 · 53m · lennys-podcast

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

Naomi Ionita · 35m spoken Lenny Rachitsky · 12m spoken
0:00 / 0:00
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

In this episode, Menlo Ventures partner Naomi Ionita breaks down actionable monetization and pricing strategies for SaaS founders, identifying common pricing mistakes and sharing frameworks for tier packaging. She also outlines the emerging Modern Growth Stack ecosystem, detailing how data-driven tools in product-led sales, experimentation, and usage-based billing accelerate startup revenue.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Lenny holds 27.1% of the talking time here. How this is scored →

Lenny as informed peer 4.4 Guest teaching 6.1 Guest disagreement 1.4 Lenny pushing back 1.2
05100:0015:0030:0045:003:43–6:22 · Lenny as informed peer 4/10 Naomi Ionita's Career Journey from Growth Operator to VC Lenny opens by establishing common ground as growth peers and invites Naomi to summarize her transition from operator to investor. Naomi details her career trajectory across Evernote, Invoice2go, Reforge, and Menlo Ventures in an informative, friendly tone.6:22–9:46 · Lenny as informed peer 5/10 Analyzing Evernote's Missed Opportunity in Multiplayer Collaboration Lenny asks a pointed strategic question about why Evernote didn't evolve into Notion. Naomi delivers an educational teardown explaining why retrofitting collaboration onto a single-player product fails.9:47–12:34 · Lenny as informed peer 4/10 Overcoming the Hesitation to Monetize Early Lenny probes startup pitfalls in pricing and tests whether B2B products should charge from day one. Naomi reframes freemium not as an alternative to monetization, but as a deliberate top-of-funnel habit formation mechanism.12:35–15:36 · Lenny as informed peer 5/10 Packaging Freemium: Day 1 vs. Day 100 Features Lenny brings up Naomi's Day 1 vs Day 100 feature framework from a previous offline discussion. Naomi explains how packaging advanced data scale features into later tiers prevents early cognitive overload while preserving pricing power.15:36–18:58 · Lenny as informed peer 4/10 Avoiding Underpricing and the Evernote Guilt Conversion Pitfall Naomi educates Lenny on why users paying out of guilt indicates a free tier is too generous and leaving massive value on the table. She walks through user research showing avid users were getting tenfold the value of the flat $45 rate.18:59–23:00 · Lenny as informed peer 4/10 The Danger of Setting and Forgetting Pricing Lenny asks how early-stage founders should establish baseline pricing. Naomi outlines forming a pricing committee and implementing the Van Westendorp Price Sensitivity Meter.23:01–26:02 · Lenny as informed peer 5/10 The Outsized Impact of Monetization on Business Growth Lenny asks about empirical benchmarks for pricing changes, prompting Naomi to cite ProfitWell and OpenView data showing monetization improvements yield 4x the bottom-line leverage of acquisition tweaks.26:02–28:43 · Lenny as informed peer 4/10 Envoy Case Study: Pushing Enterprise Price Ceilings Naomi shares a case study of Envoy 10x-ing enterprise pricing on the fly without pushback, illustrating price elasticity. Lenny constructively notes that incremental 2-3x testing avoids lost information.28:43–30:54 · Lenny as informed peer 4/10 Strategies for Testing and Experimenting with Pricing Naomi discusses technical tactics for testing pricing pages, such as geographic segmentation and monitoring multi-year cohort churn to evaluate discount effects.30:56–35:19 · Lenny as informed peer 4/10 Sponsor Segment: Vanta Following the Vanta midroll ad, Lenny poses a strategic trade-off question regarding growth vs revenue. Naomi clarifies with Figma's case how viral multiplayer dynamics justify prioritizing distribution before gating enterprise security.35:19–40:43 · Lenny as informed peer 5/10 Defining the Modern Growth Stack and Its Core Pillars Lenny asks Naomi to define the modern growth stack analogy to the modern data stack. Naomi breaks down the three core pillars: data integration via reverse ETL, cross-functional workflow enablement, and demonstrable ROI.40:44–44:30 · Lenny as informed peer 6/10 Modern Growth Stack Layer: Product-Led Sales Naomi details product-led sales tools like Endgame and Pocus, as well as experimentation platforms like Epo. Lenny highlights his own domain experience as an early Airbnb growth lead and mutual investor in Epo.44:32–47:48 · Lenny as informed peer 4/10 Modern Growth Stack Layer: Usage-Based Billing and Hybrid Pricing Lenny asks whether startups should default to usage-based pricing. Naomi pushes back against pure usage billing, arguing hybrid models best satisfy CFOs who require predictable budgeting.47:48–52:06 · Lenny as informed peer 4/10 The Impact of Generative AI on Modern Growth Lenny and Naomi explore generative AI applications in go-to-market workflows, followed by the lightning round covering book recommendations, family roots, and Menlo Ventures contact info.3:43–6:22 · Guest teaching 5/10 Naomi Ionita's Career Journey from Growth Operator to VC Lenny opens by establishing common ground as growth peers and invites Naomi to summarize her transition from operator to investor. Naomi details her career trajectory across Evernote, Invoice2go, Reforge, and Menlo Ventures in an informative, friendly tone.6:22–9:46 · Guest teaching 7/10 Analyzing Evernote's Missed Opportunity in Multiplayer Collaboration Lenny asks a pointed strategic question about why Evernote didn't evolve into Notion. Naomi delivers an educational teardown explaining why retrofitting collaboration onto a single-player product fails.9:47–12:34 · Guest teaching 6/10 Overcoming the Hesitation to Monetize Early Lenny probes startup pitfalls in pricing and tests whether B2B products should charge from day one. Naomi reframes freemium not as an alternative to monetization, but as a deliberate top-of-funnel habit formation mechanism.12:35–15:36 · Guest teaching 6/10 Packaging Freemium: Day 1 vs. Day 100 Features Lenny brings up Naomi's Day 1 vs Day 100 feature framework from a previous offline discussion. Naomi explains how packaging advanced data scale features into later tiers prevents early cognitive overload while preserving pricing power.15:36–18:58 · Guest teaching 8/10 Avoiding Underpricing and the Evernote Guilt Conversion Pitfall Naomi educates Lenny on why users paying out of guilt indicates a free tier is too generous and leaving massive value on the table. She walks through user research showing avid users were getting tenfold the value of the flat $45 rate.18:59–23:00 · Guest teaching 7/10 The Danger of Setting and Forgetting Pricing Lenny asks how early-stage founders should establish baseline pricing. Naomi outlines forming a pricing committee and implementing the Van Westendorp Price Sensitivity Meter.23:01–26:02 · Guest teaching 6/10 The Outsized Impact of Monetization on Business Growth Lenny asks about empirical benchmarks for pricing changes, prompting Naomi to cite ProfitWell and OpenView data showing monetization improvements yield 4x the bottom-line leverage of acquisition tweaks.26:02–28:43 · Guest teaching 6/10 Envoy Case Study: Pushing Enterprise Price Ceilings Naomi shares a case study of Envoy 10x-ing enterprise pricing on the fly without pushback, illustrating price elasticity. Lenny constructively notes that incremental 2-3x testing avoids lost information.28:43–30:54 · Guest teaching 6/10 Strategies for Testing and Experimenting with Pricing Naomi discusses technical tactics for testing pricing pages, such as geographic segmentation and monitoring multi-year cohort churn to evaluate discount effects.30:56–35:19 · Guest teaching 6/10 Sponsor Segment: Vanta Following the Vanta midroll ad, Lenny poses a strategic trade-off question regarding growth vs revenue. Naomi clarifies with Figma's case how viral multiplayer dynamics justify prioritizing distribution before gating enterprise security.35:19–40:43 · Guest teaching 6/10 Defining the Modern Growth Stack and Its Core Pillars Lenny asks Naomi to define the modern growth stack analogy to the modern data stack. Naomi breaks down the three core pillars: data integration via reverse ETL, cross-functional workflow enablement, and demonstrable ROI.40:44–44:30 · Guest teaching 5/10 Modern Growth Stack Layer: Product-Led Sales Naomi details product-led sales tools like Endgame and Pocus, as well as experimentation platforms like Epo. Lenny highlights his own domain experience as an early Airbnb growth lead and mutual investor in Epo.44:32–47:48 · Guest teaching 6/10 Modern Growth Stack Layer: Usage-Based Billing and Hybrid Pricing Lenny asks whether startups should default to usage-based pricing. Naomi pushes back against pure usage billing, arguing hybrid models best satisfy CFOs who require predictable budgeting.47:48–52:06 · Guest teaching 5/10 The Impact of Generative AI on Modern Growth Lenny and Naomi explore generative AI applications in go-to-market workflows, followed by the lightning round covering book recommendations, family roots, and Menlo Ventures contact info.3:43–6:22 · Guest disagreement 1/10 Naomi Ionita's Career Journey from Growth Operator to VC Lenny opens by establishing common ground as growth peers and invites Naomi to summarize her transition from operator to investor. Naomi details her career trajectory across Evernote, Invoice2go, Reforge, and Menlo Ventures in an informative, friendly tone.6:22–9:46 · Guest disagreement 2/10 Analyzing Evernote's Missed Opportunity in Multiplayer Collaboration Lenny asks a pointed strategic question about why Evernote didn't evolve into Notion. Naomi delivers an educational teardown explaining why retrofitting collaboration onto a single-player product fails.9:47–12:34 · Guest disagreement 2/10 Overcoming the Hesitation to Monetize Early Lenny probes startup pitfalls in pricing and tests whether B2B products should charge from day one. Naomi reframes freemium not as an alternative to monetization, but as a deliberate top-of-funnel habit formation mechanism.12:35–15:36 · Guest disagreement 1/10 Packaging Freemium: Day 1 vs. Day 100 Features Lenny brings up Naomi's Day 1 vs Day 100 feature framework from a previous offline discussion. Naomi explains how packaging advanced data scale features into later tiers prevents early cognitive overload while preserving pricing power.15:36–18:58 · Guest disagreement 2/10 Avoiding Underpricing and the Evernote Guilt Conversion Pitfall Naomi educates Lenny on why users paying out of guilt indicates a free tier is too generous and leaving massive value on the table. She walks through user research showing avid users were getting tenfold the value of the flat $45 rate.18:59–23:00 · Guest disagreement 1/10 The Danger of Setting and Forgetting Pricing Lenny asks how early-stage founders should establish baseline pricing. Naomi outlines forming a pricing committee and implementing the Van Westendorp Price Sensitivity Meter.23:01–26:02 · Guest disagreement 1/10 The Outsized Impact of Monetization on Business Growth Lenny asks about empirical benchmarks for pricing changes, prompting Naomi to cite ProfitWell and OpenView data showing monetization improvements yield 4x the bottom-line leverage of acquisition tweaks.26:02–28:43 · Guest disagreement 2/10 Envoy Case Study: Pushing Enterprise Price Ceilings Naomi shares a case study of Envoy 10x-ing enterprise pricing on the fly without pushback, illustrating price elasticity. Lenny constructively notes that incremental 2-3x testing avoids lost information.28:43–30:54 · Guest disagreement 1/10 Strategies for Testing and Experimenting with Pricing Naomi discusses technical tactics for testing pricing pages, such as geographic segmentation and monitoring multi-year cohort churn to evaluate discount effects.30:56–35:19 · Guest disagreement 2/10 Sponsor Segment: Vanta Following the Vanta midroll ad, Lenny poses a strategic trade-off question regarding growth vs revenue. Naomi clarifies with Figma's case how viral multiplayer dynamics justify prioritizing distribution before gating enterprise security.35:19–40:43 · Guest disagreement 1/10 Defining the Modern Growth Stack and Its Core Pillars Lenny asks Naomi to define the modern growth stack analogy to the modern data stack. Naomi breaks down the three core pillars: data integration via reverse ETL, cross-functional workflow enablement, and demonstrable ROI.40:44–44:30 · Guest disagreement 1/10 Modern Growth Stack Layer: Product-Led Sales Naomi details product-led sales tools like Endgame and Pocus, as well as experimentation platforms like Epo. Lenny highlights his own domain experience as an early Airbnb growth lead and mutual investor in Epo.44:32–47:48 · Guest disagreement 2/10 Modern Growth Stack Layer: Usage-Based Billing and Hybrid Pricing Lenny asks whether startups should default to usage-based pricing. Naomi pushes back against pure usage billing, arguing hybrid models best satisfy CFOs who require predictable budgeting.47:48–52:06 · Guest disagreement 1/10 The Impact of Generative AI on Modern Growth Lenny and Naomi explore generative AI applications in go-to-market workflows, followed by the lightning round covering book recommendations, family roots, and Menlo Ventures contact info.3:43–6:22 · Lenny pushing back 1/10 Naomi Ionita's Career Journey from Growth Operator to VC Lenny opens by establishing common ground as growth peers and invites Naomi to summarize her transition from operator to investor. Naomi details her career trajectory across Evernote, Invoice2go, Reforge, and Menlo Ventures in an informative, friendly tone.6:22–9:46 · Lenny pushing back 1/10 Analyzing Evernote's Missed Opportunity in Multiplayer Collaboration Lenny asks a pointed strategic question about why Evernote didn't evolve into Notion. Naomi delivers an educational teardown explaining why retrofitting collaboration onto a single-player product fails.9:47–12:34 · Lenny pushing back 2/10 Overcoming the Hesitation to Monetize Early Lenny probes startup pitfalls in pricing and tests whether B2B products should charge from day one. Naomi reframes freemium not as an alternative to monetization, but as a deliberate top-of-funnel habit formation mechanism.12:35–15:36 · Lenny pushing back 1/10 Packaging Freemium: Day 1 vs. Day 100 Features Lenny brings up Naomi's Day 1 vs Day 100 feature framework from a previous offline discussion. Naomi explains how packaging advanced data scale features into later tiers prevents early cognitive overload while preserving pricing power.15:36–18:58 · Lenny pushing back 1/10 Avoiding Underpricing and the Evernote Guilt Conversion Pitfall Naomi educates Lenny on why users paying out of guilt indicates a free tier is too generous and leaving massive value on the table. She walks through user research showing avid users were getting tenfold the value of the flat $45 rate.18:59–23:00 · Lenny pushing back 1/10 The Danger of Setting and Forgetting Pricing Lenny asks how early-stage founders should establish baseline pricing. Naomi outlines forming a pricing committee and implementing the Van Westendorp Price Sensitivity Meter.23:01–26:02 · Lenny pushing back 1/10 The Outsized Impact of Monetization on Business Growth Lenny asks about empirical benchmarks for pricing changes, prompting Naomi to cite ProfitWell and OpenView data showing monetization improvements yield 4x the bottom-line leverage of acquisition tweaks.26:02–28:43 · Lenny pushing back 2/10 Envoy Case Study: Pushing Enterprise Price Ceilings Naomi shares a case study of Envoy 10x-ing enterprise pricing on the fly without pushback, illustrating price elasticity. Lenny constructively notes that incremental 2-3x testing avoids lost information.28:43–30:54 · Lenny pushing back 1/10 Strategies for Testing and Experimenting with Pricing Naomi discusses technical tactics for testing pricing pages, such as geographic segmentation and monitoring multi-year cohort churn to evaluate discount effects.30:56–35:19 · Lenny pushing back 2/10 Sponsor Segment: Vanta Following the Vanta midroll ad, Lenny poses a strategic trade-off question regarding growth vs revenue. Naomi clarifies with Figma's case how viral multiplayer dynamics justify prioritizing distribution before gating enterprise security.35:19–40:43 · Lenny pushing back 1/10 Defining the Modern Growth Stack and Its Core Pillars Lenny asks Naomi to define the modern growth stack analogy to the modern data stack. Naomi breaks down the three core pillars: data integration via reverse ETL, cross-functional workflow enablement, and demonstrable ROI.40:44–44:30 · Lenny pushing back 1/10 Modern Growth Stack Layer: Product-Led Sales Naomi details product-led sales tools like Endgame and Pocus, as well as experimentation platforms like Epo. Lenny highlights his own domain experience as an early Airbnb growth lead and mutual investor in Epo.44:32–47:48 · Lenny pushing back 1/10 Modern Growth Stack Layer: Usage-Based Billing and Hybrid Pricing Lenny asks whether startups should default to usage-based pricing. Naomi pushes back against pure usage billing, arguing hybrid models best satisfy CFOs who require predictable budgeting.47:48–52:06 · Lenny pushing back 1/10 The Impact of Generative AI on Modern Growth Lenny and Naomi explore generative AI applications in go-to-market workflows, followed by the lightning round covering book recommendations, family roots, and Menlo Ventures contact info.

speaking balance: gold is Lenny, purple is the guest (3 minute bins)

0:00 · Lenny 83.3% · guest 16.7%0:00 · Lenny 83.3% · guest 16.7%3:00 · Lenny 37.5% · guest 62.5%3:00 · Lenny 37.5% · guest 62.5%6:00 · Lenny 38.3% · guest 61.7%6:00 · Lenny 38.3% · guest 61.7%9:00 · Lenny 15.1% · guest 84.9%9:00 · Lenny 15.1% · guest 84.9%12:00 · Lenny 12% · guest 88%12:00 · Lenny 12% · guest 88%15:00 · Lenny 19.5% · guest 80.5%15:00 · Lenny 19.5% · guest 80.5%18:00 · Lenny 15.5% · guest 84.5%18:00 · Lenny 15.5% · guest 84.5%21:00 · Lenny 18.8% · guest 81.2%21:00 · Lenny 18.8% · guest 81.2%24:00 · Lenny 18.1% · guest 81.9%24:00 · Lenny 18.1% · guest 81.9%27:00 · Lenny 13.8% · guest 86.2%27:00 · Lenny 13.8% · guest 86.2%30:00 · Lenny 58.4% · guest 41.6%30:00 · Lenny 58.4% · guest 41.6%33:00 · Lenny 29.7% · guest 70.3%33:00 · Lenny 29.7% · guest 70.3%36:00 · Lenny 14% · guest 86%36:00 · Lenny 14% · guest 86%39:00 · Lenny 29.1% · guest 70.9%39:00 · Lenny 29.1% · guest 70.9%42:00 · Lenny 14.1% · guest 85.9%42:00 · Lenny 14.1% · guest 85.9%45:00 · Lenny 12.8% · guest 87.2%45:00 · Lenny 12.8% · guest 87.2%48:00 · Lenny 19.5% · guest 80.5%48:00 · Lenny 19.5% · guest 80.5%51:00 · Lenny 43.4% · guest 56.6%51:00 · Lenny 43.4% · guest 56.6%
Sharpest disagreement ▶ 46:40 Rebuffing pure usage-based billing dogmatism

Naomi firmly counters the common industry hype around pure usage billing, explaining why fewer than 10% of SaaS companies succeed with it due to enterprise buyer budgeting friction.

Hardest push from Lenny ▶ 28:07 Advocating systematic price stair-stepping over blind 10x leaps

Lenny pushes back on the Envoy 10x price jump anecdote, noting that jumping straight to 10x without incremental steps causes teams to miss out on granular elasticity data.

Biggest teaching moment ▶ 16:40 Guilt-driven conversions reveal defective monetization

Naomi breaks down why survey respondents claiming they pay out of guilt is not a victory, but concrete proof of an overly permissive free tier and mispriced packaging.

Lenny holds their own ▶ 43:15 Validating warehouse-native experimentation via Airbnb operating roots

Lenny validates Naomi's analysis of modern experimentation platforms by detailing his direct experience with Epo's founders during their growth engineering days at Airbnb.

the scores for every segment, with the reasoning behind each
ChapterTopicLenny as informed peerGuest teachingGuest disagreementLenny pushing backWhy
Naomi Ionita's Career Journey from Growth Operator to VC 4511 Lenny opens by establishing common ground as growth peers and invites Naomi to summarize her transition from operator to investor. Naomi details her career trajectory across Evernote, Invoice2go, Reforge, and Menlo Ventures in an informative, friendly tone.
Analyzing Evernote's Missed Opportunity in Multiplayer Collaboration 5721 Lenny asks a pointed strategic question about why Evernote didn't evolve into Notion. Naomi delivers an educational teardown explaining why retrofitting collaboration onto a single-player product fails.
Overcoming the Hesitation to Monetize Early 4622 Lenny probes startup pitfalls in pricing and tests whether B2B products should charge from day one. Naomi reframes freemium not as an alternative to monetization, but as a deliberate top-of-funnel habit formation mechanism.
Packaging Freemium: Day 1 vs. Day 100 Features 5611 Lenny brings up Naomi's Day 1 vs Day 100 feature framework from a previous offline discussion. Naomi explains how packaging advanced data scale features into later tiers prevents early cognitive overload while preserving pricing power.
Avoiding Underpricing and the Evernote Guilt Conversion Pitfall 4821 Naomi educates Lenny on why users paying out of guilt indicates a free tier is too generous and leaving massive value on the table. She walks through user research showing avid users were getting tenfold the value of the flat $45 rate.
The Danger of Setting and Forgetting Pricing 4711 Lenny asks how early-stage founders should establish baseline pricing. Naomi outlines forming a pricing committee and implementing the Van Westendorp Price Sensitivity Meter.
The Outsized Impact of Monetization on Business Growth 5611 Lenny asks about empirical benchmarks for pricing changes, prompting Naomi to cite ProfitWell and OpenView data showing monetization improvements yield 4x the bottom-line leverage of acquisition tweaks.
Envoy Case Study: Pushing Enterprise Price Ceilings 4622 Naomi shares a case study of Envoy 10x-ing enterprise pricing on the fly without pushback, illustrating price elasticity. Lenny constructively notes that incremental 2-3x testing avoids lost information.
Strategies for Testing and Experimenting with Pricing 4611 Naomi discusses technical tactics for testing pricing pages, such as geographic segmentation and monitoring multi-year cohort churn to evaluate discount effects.
Sponsor Segment: Vanta 4622 Following the Vanta midroll ad, Lenny poses a strategic trade-off question regarding growth vs revenue. Naomi clarifies with Figma's case how viral multiplayer dynamics justify prioritizing distribution before gating enterprise security.
Defining the Modern Growth Stack and Its Core Pillars 5611 Lenny asks Naomi to define the modern growth stack analogy to the modern data stack. Naomi breaks down the three core pillars: data integration via reverse ETL, cross-functional workflow enablement, and demonstrable ROI.
Modern Growth Stack Layer: Product-Led Sales 6511 Naomi details product-led sales tools like Endgame and Pocus, as well as experimentation platforms like Epo. Lenny highlights his own domain experience as an early Airbnb growth lead and mutual investor in Epo.
Modern Growth Stack Layer: Usage-Based Billing and Hybrid Pricing 4621 Lenny asks whether startups should default to usage-based pricing. Naomi pushes back against pure usage billing, arguing hybrid models best satisfy CFOs who require predictable budgeting.
The Impact of Generative AI on Modern Growth 4511 Lenny and Naomi explore generative AI applications in go-to-market workflows, followed by the lightning round covering book recommendations, family roots, and Menlo Ventures contact info.

Statements from this episode (24)

Opinion
Evernote's antisocial design capped its growth potential
“Evernote was philosophically antisocial. You know, it was meant to be your second brain, kind of your personal tool. And I think that capped the company's growth potential.”
Naomi Ionita Jan 12, 2023 ▶ 6:57
Insight
Software products cannot retrofit collaboration after launch
“You can't retrofit collaboration. You have to be collaboration first.”
Naomi Ionita Jan 12, 2023 ▶ 7:07
Insight
The three most common startup monetization mistakes
“One is waiting too long to monetize. Another one is underpricing, and this isn't just setting the base price too low, but it's also leaving money on the table by not offering different plans to cater to different segments. And the third one is all too often wi…”
Naomi Ionita Jan 12, 2023 ▶ 9:16
Insight
Product pricing should never be static
“When your product development work is never done, neither is your pricing, and you need to combat that along the way.”
Naomi Ionita Jan 12, 2023 ▶ 9:37
Insight
Willingness to pay is the ultimate signal of product-market fit
“I think that's the true signal of aquatic market fit is ultimately having people open up their wallets and pay you.”
Naomi Ionita Jan 12, 2023 ▶ 10:33
Insight
Delaying monetization cheapens products and guarantees future user backlash
“When you don't monetize, I think you're doing yourself a disservice. The things that I see is, you know, the pain of leaving money on the table. You're inadvertently cheapening your product. People attribute a lower dollar value or a zero dollar value to what …”
Naomi Ionita Jan 12, 2023 ▶ 10:56
Insight
Ionita: Freemium exists to drive habit formation toward paid conversion
“Freemium is all about getting that top funnel excitement, getting people to build habit formation. You're collapsing time to value. You're building habit formation. You're building all these champions to use your product. But the idea is to shepherd them along…”
Naomi Ionita Jan 12, 2023 ▶ 12:04
Opinion
Evernote's pricing misstep was failing to bridge to enterprise
“Going back to the misstep at Evernote, I think there was always a premium plan, but it didn't really bridge into enterprise.”
Naomi Ionita Jan 12, 2023 ▶ 12:28
Insight
Features driving aha moments and habit formation must be free
“If it gets you to the aha moment, like that, that path to habit formation, that has to be free. That's the core utility of your product.”
Naomi Ionita Jan 12, 2023 ▶ 12:45
Assertion Not checkable as stated
Invoice2go doubled upgrade rates while raising Pro plan prices by 30%
“And we were able to do this rebalancing of our pricing and packaging so that we actually doubled our upgrade rate from our starter plan to our pro plan while also increasing the price of the pro plan. So to actually get twice as many people to upgrade while pa…”
Naomi Ionita Jan 12, 2023 ▶ 13:55
Insight
Reserve 'Day 100' advanced features for paid upsells
“Those are the ones that represent more advanced functionality. Maybe they're ones where the value is derived from having a certain scale of data in the platform. And so those, you shouldn't waste a cognitive load for your users to have to even understand or tr…”
Naomi Ionita Jan 12, 2023 ▶ 14:28
Assertion Supported
Evernote's original $45 annual subscription drove early tens of millions
“Evernote always had a business model from its beginning. It had a 45 dollars a year for an annual subscription. And this set the foundation for the company and tens of millions in revenue, early revenue growth, but the approach was suboptimal.”
Naomi Ionita Jan 12, 2023 ▶ 16:53
Insight
Upgrades driven by guilt mean the free tier is too generous
“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 Jan 12, 2023 ▶ 17:26
Insight
Ionita: A single premium tier is often a mistake that sacrifices revenue
“So a single premium tier is often a mistake, and you're going to be leaving money on the table for specific segments, and it's important to drill down and understand who those are.”
Naomi Ionita Jan 12, 2023 ▶ 17:37
Insight
Revisit pricing strategy every 6 to 12 months
“So think about your pricing just like you do your roadmap. So every six to 12 months, there's probably something meaningful that you're launching for users. So treat that as an opportunity to revisit your monetization strategy and making sure you're compensate…”
Naomi Ionita Jan 12, 2023 ▶ 19:19
Insight
Only one or two features drive most SaaS conversions
“It's very rare that people convert you know, equally across all of those features are typically one or two that are the main carrots for conversion.”
Naomi Ionita Jan 12, 2023 ▶ 20:57
Assertion Partly supported
OpenView: Pricing changes yield 25% ARR lifts for half of companies
“Our friends at OpenView do a really good job of pumping out content and doing these great, you know, sort of SaaS benchmarking surveys. So they did something recently that showed that roughly half of companies that instituted a pricing change saw at least a 25…”
Naomi Ionita Jan 12, 2023 ▶ 23:24
Insight
Startups should raise enterprise prices until they lose 30% of deals
“So what I encourage users to do in especially in, like, these enterprise conversations is to continue to ask for more, to understand where the upper bound might be, and to understand that it's okay sometimes to lose some deals due to price. Something on the or…”
Naomi Ionita Jan 12, 2023 ▶ 27:33
Insight
Evaluating pricing experiments requires measuring long-term churn trade-offs
“Knowing if you succeeded and failed often requires understanding the implications on churn. Let's say part of your test is like year one discount. You need to understand how do users perform in year two and have a sense of the trade-offs around user growth, re…”
Naomi Ionita Jan 12, 2023 ▶ 30:28
Insight
Ionita: Free individual tiers pay off if upmarket expansion paths exist
“If you know that you have a bridge to move up market, then giving up the long tail of individual users can be very worthwhile.”
Naomi Ionita Jan 12, 2023 ▶ 32:41
Assertion Supported
Non-designers made up over half of Figma's enterprise users
“More than half of Figma users weren't even designers once it was embedded in the enterprise.”
Naomi Ionita Jan 12, 2023 ▶ 33:32
Insight
Ionita: B2B software retains pricing power in downturns via hard ROI
“And I think that ROI story is even more compelling now in a softer macroeconomic climate. You just have to be able to continue to retain sales and pricing power. And I think that's derived from a strong ROI story, like I described.”
Naomi Ionita Jan 12, 2023 ▶ 39:21
Assertion Partly supported
Only 5% of SaaS companies use pure usage-based pricing
“A small fliver, less than 10%, around roughly five percent have just pure natural escalator, kind of usage-based model. The vast majority have a hybrid approach.”
Naomi Ionita Jan 12, 2023 ▶ 46:16
Insight
Pure usage pricing struggles because CFOs require predictable budgeting
“I think one challenge with purely usage-based models is that's not always how CFOs want to buy. I think buyers sometimes want predictability. They want to be able to budget for your tool.”
Naomi Ionita Jan 12, 2023 ▶ 47:08
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