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How we keep screwing SaaS up.
SEPTEMBER 2019
Brought to you by
The SaaS market has changed dramatically in the past two
decades, but we haven’t done much to keep up with the changes.
NONE OF US ARE PERFECT, BUT WE CAN BE BETTER
Brought to you by
“Listen large, bearded, preachy man…
…who the hell are you?”
Brought to you by
PROFITWELL
Free financial metrics for
subscription businesses.
Churn
tribution
Financial
Unit
Price
Survey
Willingness to
In-App Usage
Drastically reduce churn
RETAINTM
Audit proof revenue recognition
RECOGNIZED
Proprietary pricing software for
monetization
PRICE INTELLIGENTLY
We’ve seen inside more SaaS data
than anyone else out there.
Brought to you by
Brought to you by
patrick@profitwell.com
For data/slides
Brought to you by
The SaaS market has changed dramatically in the past two
decades, but we haven’t done much to keep up with the changes.
NONE OF US ARE PERFECT, BUT WE CAN BE BETTER
Let’s first understand our history.
In the beginning…
…and it was good.
Prehistoric SaaS
1960s to the 1990s
1960s to the 1990s
Speed. Stability. Evangelism.
Speed. Stability. Evangelism.
Speed. Stability. Evangelism.
PRODUCT - market fit
Something changed though.
Subscription Golden Age
Late 1990s to 2013
We got great at building.
We got lucky with distribution.
Everything was great…
…until it wasn’t.
Acquisition costs increased.
UNIT ECONOMICS AREN’T WHAT THEY USED TO BE
Customer acquisition cost has increased significantly
Customer acquisition cost has increased significantly over the years due to market saturation of
marketing vying for consumer attention.
BLENDED
CAC
RELATIVE
TO
FOUR
YEARS
AGO
SOURCE: 2017 CAC STUDY
-10%
0%
10%
20%
30%
40%
50%
60%
70%
80%
6 YEARS AGO 5 YEARS AGO 4 YEARS AGO 3 YEARS AGO 2 YEARS AGO 1 YEAR AGO Today
B2B
B2C
WHEN MEASUREMENT WAS TAKEN
N
818
N = 818 companies
Brought to you by
Competition exploded.
CONSUMERS ARE GETTING HAMMERED
Number of Competitors in First Year in Business
Companies started more than a year ago had far fewer competitors in their space than companies
started today.
AVERAGE
#
OF
COMPETITORS
IN
THEIR
1ST
YEAR
AGE OF COMPANY
2016 SOFTWARE MARKET SURVEY
0
5
10
5 YEARS OLD 3 YEARS OLD 1 YEAR OLD
9.7
4.8
2.6
N = 1432 software founders and executives
Brought to you by
Value tanked.
THE MARKET IS DROPPING OUT BENEATH US
Consumer Willingness to Pay has Declined Over Time
Software willingness to pay has declined significantly over the past few years due to increased options
and higher demands.
WTP
AS
%
OF
WTP
4
YEARS
AGO
SOURCE: 2017 CONSUMER WILLINGNESS TO PAY STUDY
0%
30%
60%
90%
120%
6 YEARS AGO 5 YEARS AGO 4 YEARS AGO 3 YEARS AGO 2 YEARS AGO 1 YEAR AGO TODAY
Core Functionality
B2B
B2C
WHEN MEASUREMENT WAS TAKEN
N = Varies by line, but minimum of 10,000 customer respondents per line
N
921k
Brought to you by
Customer satisfaction plummeted.
THE MARKET IS DROPPING OUT BENEATH US
Despite Amazing Advances, NPS is Actually Down Overall
Average NPS scores are actually falling pretty dramatically over the past five years, indicating either
we’re just getting worse at our jobs or consumers re expecting more
AVERAGE
NPS
SCORE
YEARS AGO
SOURCE: 2017 SAAS STUDY
0
7
13
20
27
33
40
5 YEARS AGO 3 YEARS AGO 1 YEAR AGO
10.2
19.5
33.8
N = 1,784 software companies
N
1,784
Brought to you by
Sad?
We’ve arrived.
What are we messing up?
Brought to you by
Only focused on acquiring customers.
Brought to you by
Buyers are the central tenet of your business
POINT OF CONVERSION
DRIVE CUSTOMERS
OFFER PRODUCT A
JUSTIFY PRICE A
OFFER PRODUCT B
JUSTIFY PRICE B
OFFER PRODUCT C
JUSTIFY PRICE C
$ $
$
Percentage of expenses that go to acquisition?
57%
Acquisition is now table stakes.
WE FOCUS ON THE WRONG FUNDAMENTALS
Impact of Improving Each Pillar of Your Business
Monetization and retention based growth far outpaces acquisition based growth. This impact is getting
greater over time.
%
IMPACT
ON
REVENUE
SOURCE: 2016 STUDY ON COMPANY UNIT ECONOMICS
0%
5%
10%
15%
20%
ACQUISITION MONETIZATION RETENTION
2.35%
3.32%
2008 - 2012 2013 - 2016
N
734
N = Data from 734 software companies
PILLAR OF THE BUSINESS
Brought to you by
WE FOCUS ON THE WRONG FUNDAMENTALS
Impact of Improving Each Pillar of Your Business
Monetization and retention based growth far outpaces acquisition based growth. This impact is getting
greater over time.
%
IMPACT
ON
REVENUE
SOURCE: 2016 STUDY ON COMPANY UNIT ECONOMICS
0%
5%
10%
15%
20%
ACQUISITION MONETIZATION RETENTION
9.32%
15.89%
2.35%
6.71%
12.7%
3.32%
2008 - 2012 2013 - 2016
N
1.4k
N = Data from 1.4k software companies
PILLAR OF THE BUSINESS
Brought to you by
WE FOCUS ON THE WRONG FUNDAMENTALS
Impact of Improving Each Pillar of Your Business
Monetization and retention based growth far outpaces acquisition based growth. This impact is getting
greater over time.
%
IMPACT
ON
REVENUE
SOURCE: 2016 STUDY ON COMPANY UNIT ECONOMICS
0%
5%
10%
15%
20%
ACQUISITION MONETIZATION RETENTION
9.32%
15.89%
2.35%
6.71%
12.7%
3.32%
2008 - 2012 2013 - 2016
N
1.4k
N = Data from 1.4k software companies
PILLAR OF THE BUSINESS
Brought to you by
Pricing/Retention 4-8x more effective than Acquisition
Brought to you by
Building the wrong value in product.
“Focus on your customer”
“Steve Jobs didn’t talk to
customers…I don’t need to either”
Average number of customer research
calls a company does per month?
Yet, we’re building the wrong product.
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
-0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5
Revenue Drivers
THE MARKET IS DROPPING OUT BENEATH US
Measuring consumer sentiment to what we’re building
DEVIATION
FROM
MEDIAN
WTP
RELATIVE PREFERENCE MAGNITUDE
THE MARKET IS DROPPING OUT BENEATH US
Measuring consumer sentiment to what we’re building
Relative Value of Attributes
• Taste
• Country of Origin
• Temperature
THE MARKET IS DROPPING OUT BENEATH US
Measuring consumer sentiment to what we’re building
Relative Value of Attributes
• Taste
• Country of Origin
• Temperature
Willingness to Pay
• Price elasticity for a cup of coffee
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
-0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5
Revenue Drivers
THE MARKET IS DROPPING OUT BENEATH US
Measuring consumer sentiment to what we’re building
DEVIATION
FROM
MEDIAN
WTP
RELATIVE PREFERENCE MAGNITUDE
Taste
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
-0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5
Revenue Drivers
THE MARKET IS DROPPING OUT BENEATH US
Measuring consumer sentiment to what we’re building
DEVIATION
FROM
MEDIAN
WTP
RELATIVE PREFERENCE MAGNITUDE
Taste
Temperature
Country of Origin
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
-0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5
Revenue Drivers
THE MARKET IS DROPPING OUT BENEATH US
Measuring consumer sentiment to what we’re building
DEVIATION
FROM
MEDIAN
WTP
RELATIVE PREFERENCE MAGNITUDE
Taste
Temperature
Country of Origin
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
-0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5
Revenue Drivers
2017 SOFTWARE MARKET SURVEY
WE’RE BUILDING THE WRONG PRODUCT
Calculating the expected impact of product on growth
DEVIATION
FROM
MEDIAN
WTP
RELATIVE PREFERENCE MAGNITUDE
Differentiable Features
High Value/High WTP
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
-0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5
Revenue Drivers
2017 SOFTWARE MARKET SURVEY
WE’RE BUILDING THE WRONG PRODUCT
Calculating the expected impact of product on growth
DEVIATION
FROM
MEDIAN
WTP
RELATIVE PREFERENCE MAGNITUDE
Differentiable Features
High Value/High WTP
Add-Ons
Low Value/High WTP
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
-0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5
Revenue Drivers
2017 SOFTWARE MARKET SURVEY
WE’RE BUILDING THE WRONG PRODUCT
Calculating the expected impact of product on growth
DEVIATION
FROM
MEDIAN
WTP
RELATIVE PREFERENCE MAGNITUDE
Differentiable Features
High Value/High WTP
Add-Ons
Low Value/High WTP
Core Features
High Value/Low WTP
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
-0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5
Revenue Drivers
2017 SOFTWARE MARKET SURVEY
WE’RE BUILDING THE WRONG PRODUCT
Calculating the expected impact of product on growth
DEVIATION
FROM
MEDIAN
WTP
RELATIVE PREFERENCE MAGNITUDE
Differentiable Features
High Value/High WTP
Add-Ons
Low Value/High WTP
Core Features
High Value/Low WTP
Trash Land
Low Value/Low WTP
Brought to you by
“You’re so depressing, Patrick…”
Brought to you by
Couple of tactical pieces…
Brought to you by
Utilize a Value Metric
Brought to you by
Price Localization
Localize your pricing.
Brought to you by
Optimize for term
Brought to you by
Rapid Fire
• Don’t discount over ~20%
DATA WE’VE SEEN TO BE
HELPFUL
Brought to you by
— SAAS
IN
THE
NEW
ECONOMY
• Don’t discount over ~20%
• Support, Brand, Design all drive WTP now
DATA WE’VE SEEN TO BE
HELPFUL
Brought to you by
— SAAS
IN
THE
NEW
ECONOMY
• Don’t discount over ~20%
• Support, Brand, Design all drive WTP now
• Credit card failures make up 20-40% of your churn. Fix them.
DATA WE’VE SEEN TO BE
HELPFUL
Brought to you by
— SAAS
IN
THE
NEW
ECONOMY
• Don’t discount over ~20%
• Support, Brand, Design all drive WTP now
• Credit card failures make up 20-40% of your churn. Fix them.
• You should consider freemium (15-20% higher retention, lower
CAC)
DATA WE’VE SEEN TO BE
HELPFUL
Brought to you by
— SAAS
IN
THE
NEW
ECONOMY
Brought to you by
Enough? Everyone get some value?
Brought to you by
The SaaS market has changed dramatically in the past two
decades, but we haven’t done much to keep up with the changes.
NONE OF US ARE PERFECT, BUT WE CAN BE BETTER
Brought to you by
Free Benchmark Audits
patrick@profitwell.com
Brought to you by
patrick@ProfitWell.com

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Patrick Campbell- 2019 APPEALIE SaaS Conference Featured Speaker

  • 1. Brought to you by How we keep screwing SaaS up. SEPTEMBER 2019
  • 2. Brought to you by The SaaS market has changed dramatically in the past two decades, but we haven’t done much to keep up with the changes. NONE OF US ARE PERFECT, BUT WE CAN BE BETTER
  • 3. Brought to you by “Listen large, bearded, preachy man… …who the hell are you?”
  • 4. Brought to you by PROFITWELL Free financial metrics for subscription businesses.
  • 5. Churn tribution Financial Unit Price Survey Willingness to In-App Usage Drastically reduce churn RETAINTM Audit proof revenue recognition RECOGNIZED Proprietary pricing software for monetization PRICE INTELLIGENTLY
  • 6. We’ve seen inside more SaaS data than anyone else out there. Brought to you by
  • 7. Brought to you by patrick@profitwell.com For data/slides
  • 8. Brought to you by The SaaS market has changed dramatically in the past two decades, but we haven’t done much to keep up with the changes. NONE OF US ARE PERFECT, BUT WE CAN BE BETTER
  • 11.
  • 12. …and it was good.
  • 14. 1960s to the 1990s
  • 15. 1960s to the 1990s
  • 16.
  • 24. We got great at building.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37. We got lucky with distribution.
  • 38.
  • 39.
  • 40.
  • 41.
  • 42.
  • 43.
  • 44.
  • 45.
  • 46.
  • 47.
  • 50.
  • 52. UNIT ECONOMICS AREN’T WHAT THEY USED TO BE Customer acquisition cost has increased significantly Customer acquisition cost has increased significantly over the years due to market saturation of marketing vying for consumer attention. BLENDED CAC RELATIVE TO FOUR YEARS AGO SOURCE: 2017 CAC STUDY -10% 0% 10% 20% 30% 40% 50% 60% 70% 80% 6 YEARS AGO 5 YEARS AGO 4 YEARS AGO 3 YEARS AGO 2 YEARS AGO 1 YEAR AGO Today B2B B2C WHEN MEASUREMENT WAS TAKEN N 818 N = 818 companies Brought to you by
  • 54. CONSUMERS ARE GETTING HAMMERED Number of Competitors in First Year in Business Companies started more than a year ago had far fewer competitors in their space than companies started today. AVERAGE # OF COMPETITORS IN THEIR 1ST YEAR AGE OF COMPANY 2016 SOFTWARE MARKET SURVEY 0 5 10 5 YEARS OLD 3 YEARS OLD 1 YEAR OLD 9.7 4.8 2.6 N = 1432 software founders and executives Brought to you by
  • 56. THE MARKET IS DROPPING OUT BENEATH US Consumer Willingness to Pay has Declined Over Time Software willingness to pay has declined significantly over the past few years due to increased options and higher demands. WTP AS % OF WTP 4 YEARS AGO SOURCE: 2017 CONSUMER WILLINGNESS TO PAY STUDY 0% 30% 60% 90% 120% 6 YEARS AGO 5 YEARS AGO 4 YEARS AGO 3 YEARS AGO 2 YEARS AGO 1 YEAR AGO TODAY Core Functionality B2B B2C WHEN MEASUREMENT WAS TAKEN N = Varies by line, but minimum of 10,000 customer respondents per line N 921k Brought to you by
  • 58. THE MARKET IS DROPPING OUT BENEATH US Despite Amazing Advances, NPS is Actually Down Overall Average NPS scores are actually falling pretty dramatically over the past five years, indicating either we’re just getting worse at our jobs or consumers re expecting more AVERAGE NPS SCORE YEARS AGO SOURCE: 2017 SAAS STUDY 0 7 13 20 27 33 40 5 YEARS AGO 3 YEARS AGO 1 YEAR AGO 10.2 19.5 33.8 N = 1,784 software companies N 1,784 Brought to you by
  • 59. Sad?
  • 61. What are we messing up?
  • 62. Brought to you by Only focused on acquiring customers.
  • 63. Brought to you by Buyers are the central tenet of your business POINT OF CONVERSION DRIVE CUSTOMERS OFFER PRODUCT A JUSTIFY PRICE A OFFER PRODUCT B JUSTIFY PRICE B OFFER PRODUCT C JUSTIFY PRICE C $ $ $
  • 64. Percentage of expenses that go to acquisition?
  • 65. 57%
  • 66. Acquisition is now table stakes.
  • 67. WE FOCUS ON THE WRONG FUNDAMENTALS Impact of Improving Each Pillar of Your Business Monetization and retention based growth far outpaces acquisition based growth. This impact is getting greater over time. % IMPACT ON REVENUE SOURCE: 2016 STUDY ON COMPANY UNIT ECONOMICS 0% 5% 10% 15% 20% ACQUISITION MONETIZATION RETENTION 2.35% 3.32% 2008 - 2012 2013 - 2016 N 734 N = Data from 734 software companies PILLAR OF THE BUSINESS Brought to you by
  • 68. WE FOCUS ON THE WRONG FUNDAMENTALS Impact of Improving Each Pillar of Your Business Monetization and retention based growth far outpaces acquisition based growth. This impact is getting greater over time. % IMPACT ON REVENUE SOURCE: 2016 STUDY ON COMPANY UNIT ECONOMICS 0% 5% 10% 15% 20% ACQUISITION MONETIZATION RETENTION 9.32% 15.89% 2.35% 6.71% 12.7% 3.32% 2008 - 2012 2013 - 2016 N 1.4k N = Data from 1.4k software companies PILLAR OF THE BUSINESS Brought to you by
  • 69. WE FOCUS ON THE WRONG FUNDAMENTALS Impact of Improving Each Pillar of Your Business Monetization and retention based growth far outpaces acquisition based growth. This impact is getting greater over time. % IMPACT ON REVENUE SOURCE: 2016 STUDY ON COMPANY UNIT ECONOMICS 0% 5% 10% 15% 20% ACQUISITION MONETIZATION RETENTION 9.32% 15.89% 2.35% 6.71% 12.7% 3.32% 2008 - 2012 2013 - 2016 N 1.4k N = Data from 1.4k software companies PILLAR OF THE BUSINESS Brought to you by
  • 70. Pricing/Retention 4-8x more effective than Acquisition
  • 71. Brought to you by Building the wrong value in product.
  • 72. “Focus on your customer”
  • 73. “Steve Jobs didn’t talk to customers…I don’t need to either”
  • 74. Average number of customer research calls a company does per month?
  • 75.
  • 76. Yet, we’re building the wrong product.
  • 77. -50% -40% -30% -20% -10% 0% 10% 20% 30% 40% 50% -0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 Revenue Drivers THE MARKET IS DROPPING OUT BENEATH US Measuring consumer sentiment to what we’re building DEVIATION FROM MEDIAN WTP RELATIVE PREFERENCE MAGNITUDE
  • 78. THE MARKET IS DROPPING OUT BENEATH US Measuring consumer sentiment to what we’re building Relative Value of Attributes • Taste • Country of Origin • Temperature
  • 79. THE MARKET IS DROPPING OUT BENEATH US Measuring consumer sentiment to what we’re building Relative Value of Attributes • Taste • Country of Origin • Temperature Willingness to Pay • Price elasticity for a cup of coffee
  • 80. -50% -40% -30% -20% -10% 0% 10% 20% 30% 40% 50% -0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 Revenue Drivers THE MARKET IS DROPPING OUT BENEATH US Measuring consumer sentiment to what we’re building DEVIATION FROM MEDIAN WTP RELATIVE PREFERENCE MAGNITUDE Taste
  • 81. -50% -40% -30% -20% -10% 0% 10% 20% 30% 40% 50% -0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 Revenue Drivers THE MARKET IS DROPPING OUT BENEATH US Measuring consumer sentiment to what we’re building DEVIATION FROM MEDIAN WTP RELATIVE PREFERENCE MAGNITUDE Taste Temperature Country of Origin
  • 82. -50% -40% -30% -20% -10% 0% 10% 20% 30% 40% 50% -0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 Revenue Drivers THE MARKET IS DROPPING OUT BENEATH US Measuring consumer sentiment to what we’re building DEVIATION FROM MEDIAN WTP RELATIVE PREFERENCE MAGNITUDE Taste Temperature Country of Origin
  • 83. -50% -40% -30% -20% -10% 0% 10% 20% 30% 40% 50% -0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 Revenue Drivers 2017 SOFTWARE MARKET SURVEY WE’RE BUILDING THE WRONG PRODUCT Calculating the expected impact of product on growth DEVIATION FROM MEDIAN WTP RELATIVE PREFERENCE MAGNITUDE Differentiable Features High Value/High WTP
  • 84. -50% -40% -30% -20% -10% 0% 10% 20% 30% 40% 50% -0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 Revenue Drivers 2017 SOFTWARE MARKET SURVEY WE’RE BUILDING THE WRONG PRODUCT Calculating the expected impact of product on growth DEVIATION FROM MEDIAN WTP RELATIVE PREFERENCE MAGNITUDE Differentiable Features High Value/High WTP Add-Ons Low Value/High WTP
  • 85. -50% -40% -30% -20% -10% 0% 10% 20% 30% 40% 50% -0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 Revenue Drivers 2017 SOFTWARE MARKET SURVEY WE’RE BUILDING THE WRONG PRODUCT Calculating the expected impact of product on growth DEVIATION FROM MEDIAN WTP RELATIVE PREFERENCE MAGNITUDE Differentiable Features High Value/High WTP Add-Ons Low Value/High WTP Core Features High Value/Low WTP
  • 86. -50% -40% -30% -20% -10% 0% 10% 20% 30% 40% 50% -0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 Revenue Drivers 2017 SOFTWARE MARKET SURVEY WE’RE BUILDING THE WRONG PRODUCT Calculating the expected impact of product on growth DEVIATION FROM MEDIAN WTP RELATIVE PREFERENCE MAGNITUDE Differentiable Features High Value/High WTP Add-Ons Low Value/High WTP Core Features High Value/Low WTP Trash Land Low Value/Low WTP
  • 87.
  • 88.
  • 89. Brought to you by “You’re so depressing, Patrick…”
  • 90. Brought to you by Couple of tactical pieces…
  • 91. Brought to you by Utilize a Value Metric
  • 92.
  • 93.
  • 94.
  • 95.
  • 96. Brought to you by Price Localization
  • 97.
  • 98.
  • 100. Brought to you by Optimize for term
  • 101.
  • 102. Brought to you by Rapid Fire
  • 103. • Don’t discount over ~20% DATA WE’VE SEEN TO BE HELPFUL Brought to you by — SAAS IN THE NEW ECONOMY
  • 104. • Don’t discount over ~20% • Support, Brand, Design all drive WTP now DATA WE’VE SEEN TO BE HELPFUL Brought to you by — SAAS IN THE NEW ECONOMY
  • 105. • Don’t discount over ~20% • Support, Brand, Design all drive WTP now • Credit card failures make up 20-40% of your churn. Fix them. DATA WE’VE SEEN TO BE HELPFUL Brought to you by — SAAS IN THE NEW ECONOMY
  • 106. • Don’t discount over ~20% • Support, Brand, Design all drive WTP now • Credit card failures make up 20-40% of your churn. Fix them. • You should consider freemium (15-20% higher retention, lower CAC) DATA WE’VE SEEN TO BE HELPFUL Brought to you by — SAAS IN THE NEW ECONOMY
  • 107. Brought to you by Enough? Everyone get some value?
  • 108. Brought to you by The SaaS market has changed dramatically in the past two decades, but we haven’t done much to keep up with the changes. NONE OF US ARE PERFECT, BUT WE CAN BE BETTER
  • 109. Brought to you by Free Benchmark Audits patrick@profitwell.com
  • 110. Brought to you by patrick@ProfitWell.com