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Professional Background
201
1
2002
2006
2018+
2013+
naomi@menlovc.com
@npilosof
Started growth function at Evernote & Invoice2go
• Evernote: 10M to 100M users
• Invoice2go: Top-grossing business app worldwide
Began career in engineering
New product development
Partner at Menlo Ventures focused on SaaS &
consumer
Advising on product growth/monetization
with companies + communities (Reforge)
Naomi Pilosof Ionita
SaaS is a long-term value exchange
between you and your customers...
...it’s about creating value for them,
and being compensated appropriately for that value
3.32%
6.71%
12.70%
0%
2%
4%
6%
8%
10%
12%
14%
Acquisition Retention Monetization
Source: Price Intelligently; n= data from 512 SaaS companies
Monetization is 4x More Efficient than Acquisition
Impact on Bottom Line
by Improving Each Lever by 1%
Goal = >130% revenue retention
How did you decide on your pricing ?
“ Honestly, it was pretty arbitrary.
We just picked something. ”
“ We made it artificially low;
we didn’t want price to get in the way
of people using it. ”
“ We wanted to position ourselves as Premium.
One prospective customer told us:
‘ You’re the Apple of your category.
I need to save budget to afford you ’
— and that was fine by us! ”
Know Who You’re Building for
Lesson 1 :
Segment Users by
Needs and
Willingness-to-Pay
: Customer Segmentation
Lowest WTP
Value speed
Value extra space
Highest WTP
Uber Pool
Uber X
Uber XL / SUV
Uber Select / Black
“ I need to get from A to B ”
Value does not automatically translate to Perceived Value
Feature Shock
Who are your customers ?
Why do they pay you ?
How much are they willing to pay you ?
Establish a Pricing Process
Assign
an owner
● Product Growth
(SMB/Self-serve)
● Sales
(Mid-Market/Ent)
Talk to
customers
● Internal feedback
loops
● Survey methods:
- Conjoint Analysis
- Gabor-Granger
- van Westendorp
Be willing
to experiment
● Don’t be afraid
to raise prices
● Isolating by
geo can help
● This work is
never done
More Effective Survey Questions
Distribute 100 points across the features below.
Rate features “must have”, “nice to have”, or
“not necessary”.
Which features would you include in an ideal package?
What annual price would you consider acceptable? What
price would you consider expensive, but still willing to pay?
Below is a list of
features – check off
the ones you want.
[No conversation
about price]
ValueWTP
Lesson 2 :
Align Pricing & Packaging
with Building Accretive Value
: Rebalancing Pricing & Packaging
Increased upgrade rate by 108%
While increasing upgrade price by 33%
Without impacting customer sentiment
• Increase prices / use a
smart natural escalator
• Rebalance sticks & carrots
• Upsell / cross-sell users to
higher-priced plans / additional products
How ?
You’re Probably Underpriced :
“ It’s $20… I mean, $200 per month ”
Upgrade Levers : Sticks & Carrots
New features
unlocked with
upgrade
Quota limit
forces upgrade
Contextual upsells are effective –
user is in high-intent state
and no additional education required
Sticks are Your Value Metrics
# Admin Seats
# Equity Grants Disincentivizes usage
# Shareholders Revenue scales with value
Cap Table Management
Revenue doesn’t scale with value
: Picking the Right Value Metric
SMB Mid-Market Enterprise Public
Formations
Financings
Liquidity: Tenders, Secondaries
HR & Payroll Integrations
Board Management: Resolutions, Docs
$ As customers grow, they derive more value from Carta $$$$
Support for International Employees
: Picking the Right Premium Features
: Rapid Revenue Growth
100
90
80
70
60
50
40
30
20
10
1 2 3 4 5 6 7 8 9 10 11 12 13
$inARR(Millions)
Years
*Year 1 is from time Carta began selling recurring software. Source: Bessemer Venture Partners
: Healthy Revenue Retention
100
90
80
70
60
50
40
30
20
10
1 2 3 4 5 6 7 8 9 10 11 12 13
$inARR(Millions)
Years
Goal Achieved
Year 1 revenue retention: 125%
Year 2 revenue retention: 140+%
*Year 1 is from time Carta started selling recurring software. Source: Bessemer Venture Partners
Lesson 3 :
Personalize Monetization with Predictive Data
Very High
High
Low
Very Low
Predictive Analytics – Customer Propensity to Renew
Input Variables Most Predictive
Propensity
Segments
Targeted upgrades for
high propensity
Renewal experience for
very low propensity
: Personalized Experiences by Segment
• Reinforce value of
core features
• Build awareness of
premium features
• Offer targeted
promotions/discounts
Create predictive audiences — past
actions inform who is likely to perform a
future action
Target personalized messaging & dynamic
offers based on propensity
to convert, upgrade, or renew
: AI-Driven Marketing
: Upgrade Campaigns with ClearBrain
Facebook :
Retargeted free users with high propensity
to upgrade:
Conversion up from 4% to 10%
Braze :
Displayed popup for users with
high propensity to upgrade
10% lift in upgrade CTA
SMB
Self-Service
Product Team :
- Drives self-service
revenue
- Targets businesses
< 250 employees
: Data-Informed Hand-Offs
Sales Team :
- Upsell leads into
higher ACV customers
Mid-market /
Enterprise
Qualified
leads
based
on data
Wrap-Up
2. Align Pricing & Packaging with Building Accretive Value
3. Personalize Monetization with Predictive Data
1. Know Who You’re Building for —
Segment Users by Needs and Willingness-to-Pay
THANK YOU…
…NOW GO MAKE MORE MONEY :)

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Matching Price to Value: 3 Lessons in Monetization from Menlo Ventures

  • 1. Professional Background 201 1 2002 2006 2018+ 2013+ naomi@menlovc.com @npilosof Started growth function at Evernote & Invoice2go • Evernote: 10M to 100M users • Invoice2go: Top-grossing business app worldwide Began career in engineering New product development Partner at Menlo Ventures focused on SaaS & consumer Advising on product growth/monetization with companies + communities (Reforge) Naomi Pilosof Ionita
  • 2. SaaS is a long-term value exchange between you and your customers... ...it’s about creating value for them, and being compensated appropriately for that value
  • 3. 3.32% 6.71% 12.70% 0% 2% 4% 6% 8% 10% 12% 14% Acquisition Retention Monetization Source: Price Intelligently; n= data from 512 SaaS companies Monetization is 4x More Efficient than Acquisition Impact on Bottom Line by Improving Each Lever by 1%
  • 4. Goal = >130% revenue retention
  • 5. How did you decide on your pricing ?
  • 6. “ Honestly, it was pretty arbitrary. We just picked something. ”
  • 7. “ We made it artificially low; we didn’t want price to get in the way of people using it. ”
  • 8. “ We wanted to position ourselves as Premium. One prospective customer told us: ‘ You’re the Apple of your category. I need to save budget to afford you ’ — and that was fine by us! ”
  • 9. Know Who You’re Building for Lesson 1 : Segment Users by Needs and Willingness-to-Pay
  • 10. : Customer Segmentation Lowest WTP Value speed Value extra space Highest WTP Uber Pool Uber X Uber XL / SUV Uber Select / Black “ I need to get from A to B ”
  • 11.
  • 12. Value does not automatically translate to Perceived Value
  • 14. Who are your customers ? Why do they pay you ? How much are they willing to pay you ?
  • 15. Establish a Pricing Process Assign an owner ● Product Growth (SMB/Self-serve) ● Sales (Mid-Market/Ent) Talk to customers ● Internal feedback loops ● Survey methods: - Conjoint Analysis - Gabor-Granger - van Westendorp Be willing to experiment ● Don’t be afraid to raise prices ● Isolating by geo can help ● This work is never done
  • 16. More Effective Survey Questions Distribute 100 points across the features below. Rate features “must have”, “nice to have”, or “not necessary”. Which features would you include in an ideal package? What annual price would you consider acceptable? What price would you consider expensive, but still willing to pay? Below is a list of features – check off the ones you want. [No conversation about price] ValueWTP
  • 17. Lesson 2 : Align Pricing & Packaging with Building Accretive Value
  • 18. : Rebalancing Pricing & Packaging Increased upgrade rate by 108% While increasing upgrade price by 33% Without impacting customer sentiment
  • 19. • Increase prices / use a smart natural escalator • Rebalance sticks & carrots • Upsell / cross-sell users to higher-priced plans / additional products How ?
  • 20. You’re Probably Underpriced : “ It’s $20… I mean, $200 per month ”
  • 21. Upgrade Levers : Sticks & Carrots New features unlocked with upgrade Quota limit forces upgrade
  • 22. Contextual upsells are effective – user is in high-intent state and no additional education required Sticks are Your Value Metrics
  • 23. # Admin Seats # Equity Grants Disincentivizes usage # Shareholders Revenue scales with value Cap Table Management Revenue doesn’t scale with value : Picking the Right Value Metric
  • 24. SMB Mid-Market Enterprise Public Formations Financings Liquidity: Tenders, Secondaries HR & Payroll Integrations Board Management: Resolutions, Docs $ As customers grow, they derive more value from Carta $$$$ Support for International Employees : Picking the Right Premium Features
  • 25. : Rapid Revenue Growth 100 90 80 70 60 50 40 30 20 10 1 2 3 4 5 6 7 8 9 10 11 12 13 $inARR(Millions) Years *Year 1 is from time Carta began selling recurring software. Source: Bessemer Venture Partners
  • 26. : Healthy Revenue Retention 100 90 80 70 60 50 40 30 20 10 1 2 3 4 5 6 7 8 9 10 11 12 13 $inARR(Millions) Years Goal Achieved Year 1 revenue retention: 125% Year 2 revenue retention: 140+% *Year 1 is from time Carta started selling recurring software. Source: Bessemer Venture Partners
  • 27. Lesson 3 : Personalize Monetization with Predictive Data
  • 28. Very High High Low Very Low Predictive Analytics – Customer Propensity to Renew Input Variables Most Predictive Propensity Segments
  • 29. Targeted upgrades for high propensity Renewal experience for very low propensity : Personalized Experiences by Segment • Reinforce value of core features • Build awareness of premium features • Offer targeted promotions/discounts
  • 30. Create predictive audiences — past actions inform who is likely to perform a future action Target personalized messaging & dynamic offers based on propensity to convert, upgrade, or renew : AI-Driven Marketing
  • 31. : Upgrade Campaigns with ClearBrain Facebook : Retargeted free users with high propensity to upgrade: Conversion up from 4% to 10% Braze : Displayed popup for users with high propensity to upgrade 10% lift in upgrade CTA
  • 32. SMB Self-Service Product Team : - Drives self-service revenue - Targets businesses < 250 employees : Data-Informed Hand-Offs Sales Team : - Upsell leads into higher ACV customers Mid-market / Enterprise Qualified leads based on data
  • 33. Wrap-Up 2. Align Pricing & Packaging with Building Accretive Value 3. Personalize Monetization with Predictive Data 1. Know Who You’re Building for — Segment Users by Needs and Willingness-to-Pay
  • 34. THANK YOU… …NOW GO MAKE MORE MONEY :)