Patrick Campbell
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Transcript of Patrick Campbell
Utilizing your pricing for growth Pipeline Summit 2016
@PriceIntel
We live in a world where acquisition as we know it is dead
@PriceIntel
Who are you?
@PriceIntel
Happy customers big and small
ProfitWell SaaS pricing
software and tech enabled services
Free financial metrics for subscription
businesses
@PriceIntel
We’ve seen inside more software companies than anyone else on the planet.
@PriceIntel
The market is becoming saturated and unit economics just aren’t what they used to be…
@PriceIntel
The relative value of features is declining. All software is going to $0.
@PriceIntel
“Differentiation” isn’t what is used to be…
N = Varies by line, but minimum of 10,000 customer respondents per line
0%
25%
50%
75%
100%
125%
4 Years Ago 3 Years Ago 2 Years Ago 1 Year Ago Today
WTP
as
% o
f WTP
4 Y
ears
Ago
Willingness to pay over time relative to WTP 4 years ago
Core Features Single Sign On Integrations Analytics
@PriceIntel
CAC is increasing over time.
@PriceIntel
Acquiring a customer is getting pricier
N = Varies by line, but minimum of 453 companies per data point
-‐25%
0%
25%
50%
75%
4 Years Ago 3 Years Ago 2 Years Ago 1 Year Ago Today
CA
C a
s %
of C
AC
4 Y
ears
Ago
Blended CAC relative to four years ago
B2B B2C
@PriceIntel
We make matters worse by focusing on the wrong fundamentals
@PriceIntel
Asked Founders/Executives
@PriceIntel
What’s most important?
N = 1,218 SaaS companies, +/- 2.61% MoE at 95% level
0%
25%
50%
75%
100%
Acquisition Monetization Retention
% o
f tot
al c
ompa
nies
C-Level/Founder Spend Their Time
@PriceIntel
There are clear winners and losers in this environment.
@PriceIntel
Death correlates to acquisition focused teams
0%
25%
50%
75%
100%
Less than $2.5M ARR $2.51M to $5M ARR $5.01M+ ARR
% o
f Res
pond
ents
Of those companies who died, what was the makeup of their growth
Primarily Acquisi5on Growth Balanced Growth
N = Minimum of 30 companies per category who died over the past 4 years
@PriceIntel
Balanced growth velocity is much larger
0%
25%
50%
2012 2013 2014 2015
% o
f Res
pond
ents
How do growth rates compare to our two growth groups?
Primarily Acquisition Growth Balanced Growth N = Minimum of 512 companies per segment pulled from the middle 2/3 of companies in terms of growth rate. This, along with a dampening model was used to control for outlier spikes in growth rate. @PriceIntel
The root cause here stems from a lack of buyer centricity.
@PriceIntel
We don’t really know our buyers
@PriceIntel
Buyer Personas
Table Stakes Tony
• Valued features: • SFDC Integration • Chrome extension
• Least valued features • Analytics • API access
• WTP = ~$10/month • CAC = ~$22 • LTV: $160
Advanced Arnie
• Valued features: • Analytics • API Access
• Least valued features • Chrome extension • Premium support
• WTP = ~$25/month • CAC = ~$56 • LTV: $325
@PriceIntel
We don’t know our buyers that well
0%
25%
50%
75%
100%
Thought about them Central document Quantified buyer personas
% o
f Res
pond
ents
Which single category best describes your buyer personas?
N = 1,647 SaaS companies
@PriceIntel
We don’t do a lot of cust dev conversations
0%
25%
50%
75%
100%
Less than 10 11 to 25 26 to 50 51+
% o
f Res
pond
ents
# of cust dev conversa5ons
How many cust dev conversations are you having per month?
N = 1,647 SaaS companies
@PriceIntel
We aren’t truly testing that much
0%
25%
50%
75%
100%
0 1 to 3 4 to 10 11+
% o
f Res
pond
ents
# of tests/experiments
How many tests or experiments are you running each month?
N = 1,647 SaaS companies
@PriceIntel
We don’t realize the power of balanced growth.
@PriceIntel
If we improve each lever by the same amount, which lever causes the most growth?
@PriceIntel
Impact of improving each growth lever
3.32%
0%
5%
10%
15%
Acquisition Monetization Retention
% im
pact
on
the
botto
m li
ne
Impact of improving each lever by 1%
N = 578 SaaS companies, +/- 2.89% MoE at 95% level
@PriceIntel
Impact of improving each growth lever
3.32%
6.71%
0%
5%
10%
15%
Acquisition Monetization Retention
% im
pact
on
the
botto
m li
ne
Impact of improving each lever by 1%
N = 578 SaaS companies, +/- 2.89% MoE at 95% level
@PriceIntel
Impact of improving each growth lever
3.32%
12.70%
6.71%
0%
5%
10%
15%
Acquisition Monetization Retention
% im
pact
on
the
botto
m li
ne
Impact of improving each lever by 1%
N = 578 SaaS companies, +/- 2.89% MoE at 95% level
@PriceIntel
Improving retention and monetization has 2-4x the impact of focusing on acquisition.
@PriceIntel
What we find important
0%
25%
50%
75%
100%
More logos Making more money per customer
Keeping customers around longer
% o
f tot
al c
ompa
nies
C-Level/Founder Growth Preferences
N = 1,432 SaaS companies
@PriceIntel
What works for growth
3.32%
12.70%
6.71%
0%
5%
10%
15%
Acquisition Monetization Retention
% im
pact
on
the
botto
m li
ne
Impact of improving each lever by 1%
N = Data from 512 companies
@PriceIntel
This should be scary.
@PriceIntel
Everything aligns to the customer
Point of Conversion
Drive Customer #1
Offer Product #1
Offer Product #2
Drive Customer #2 Drive Customer #3
Offer Product #3 Justify price #1
Justify price #2
Justify price #3
@PriceIntel
How do we fix this?
@PriceIntel
Quantify your buyer personas
@PriceIntel
If you don’t know who you’re driving to your product, how do you know what build?
@PriceIntel
Let’s walk through an example…
@PriceIntel
ProfitWell
@PriceIntel
“Oh you’re like….”
@PriceIntel
“Oh you’re like….”
37 Other Competitors
(we know about)
@PriceIntel
Persona-Product Fit
Startup Steve
• Valued features: • •
• Least valued features • •
• WTP = ~$/month • CAC = ~$ • LTV: $
Miderprise Marty
• Valued features: • •
• Least valued features • •
• WTP = ~$/month • CAC = ~$ • LTV: $
@PriceIntel
Go to the customer!
@PriceIntel
For the love of God. Talk to your customer.
@PriceIntel
Great. How do we do that?
@PriceIntel
1
2
3
Your Process at a High Level
Buyer Personas and Design
1
Data Collection And Segmentation
2
1
2
3
4
Data Consolidation And Analysis
3
@PriceIntel
Persona-Product Fit
Startup Steve
• Valued features: • •
• Least valued features • •
• WTP = ~$/month • CAC = ~$ • LTV: $
Miderprise Marty
• Valued features: • •
• Least valued features • •
• WTP = ~$/month • CAC = ~$ • LTV: $
@PriceIntel
Experimental Design
@PriceIntel
What type of info do we want? • Demographic Information
– How often do you look at your metrics? Team size? Revenue?... • Feature/Packaging Information
– Which metrics? What features? Value props?...
• Pricing Information – How much are they willing to pay? What frequency do they want to
pay?...
@PriceIntel
Relative Preference Analysis Statistical methodology to measure preferences for features, intention, and value propositions
Your Customer Development Toolkit
Price Sensitivity Analysis Proven model for gauging customer’s willingness to pay and price sensitivity
Experimental Design Properly segmenting and breaking down the data.
How do we ask the questions?
@PriceIntel
What do people value?
@PriceIntel
“Please rank the following features on a scale of 1 to 10…”
0 0.2 0.4 0.6 0.8 1
Accuracy of your metrics
Ac5onability from your metrics
Beau5ful Design
Depth of your metrics
@PriceIntel
@PriceIntel
What do your customers value the most?
More on: Relative Preference Analysis
@PriceIntel
What do your customers value the most?
More on: Relative Preference Analysis
@PriceIntel
What do your customers value the most?
More on: Relative Preference Analysis
@PriceIntel
Persona-Product Fit
Startup Steve
• Valued features: • Price • Design
• Least valued features • Actionabiltiy • Depth
• WTP = ~$/month • CAC = ~$ • LTV: $
Miderprise Marty
• Valued features: • Accuracy • Uptime
• Least valued features • Price • Design
• WTP = ~$/month • CAC = ~$ • LTV: $
@PriceIntel
Relative Preference Analysis Statistical methodology to measure preferences for features, intention, and value propositions
Your Customer Development Toolkit
Price Sensitivity Analysis Proven model for gauging customer’s willingness to pay and price sensitivity
Experimental Design Properly segmenting and breaking down the data.
How do we ask the questions?
@PriceIntel
How much are they willing to pay?
@PriceIntel
Basic Plus Premium
$49 $149 $299
I only have one cool feature. The same cool feature. Yup, same one.
Oh! You can only get this here. Well…and here.
Huzzah! I’m the plan with absolutely everything.
@PriceIntel
• At what (monthly) price point does [PRODUCT] become too
expensive that you’d never consider purchasing it? • At what (monthly) price point does [PRODUCT] start to become
expensive, but you’d still consider purchasing it?
• At what (monthly) price point does [PRODUCT] a really good deal?
• At what (monthly) price point does [PRODUCT] too cheap that you question the quality of it?
More on: Relative Price Sensitivity Meter
How much are your customers willing to pay?
@PriceIntel
How much are your customers willing to pay?
More on: Relative Price Sensitivity Meter
@PriceIntel
WTP for SaaS Metrics
$0
$50
$100
$150
$200
$250
$300
$0 - $50k $51k - $100k $101k - $250k $251k - $500k $501k+
WTP
Size of Company (MRR)
WTP for a SaaS Metrics Solution
N = 234 companies
@PriceIntel
Persona-Product Fit
Startup Steve
• Valued features: • Price • Design
• Least valued features • Actionabiltiy • Depth
• WTP = ~$50/month • CAC = ~$ • LTV: $
Miderprise Marty
• Valued features: • Accuracy • Uptime
• Least valued features • Price • Design
• WTP = ~$150-250/month • CAC = ~$ • LTV: $
@PriceIntel
Persona-Product Fit
Startup Steve
• Valued features: • Price • Design
• Least valued features • Actionabiltiy • Depth
• WTP = ~$50/month • CAC = ~$500-600 • LTV: $600
Miderprise Marty
• Valued features: • Accuracy • Uptime
• Least valued features • Price • Design
• WTP = ~$150-250/month • CAC = ~$3000 • LTV: $1500
@PriceIntel
WTP for Churn Recovery
$0
$500
$1,000
$1,500
$2,000
$2,500
$3,000
$3,500
$4,000
$4,500
$0 - $50k $51k - $100k $101k - $250k $251k - $500k $501k+
WTP
Size of Company (MRR)
WTP for a Recovering Churn
N = 234 companies
@PriceIntel
WTP for Rev Rec
$0
$500
$1,000
$1,500
$2,000
$2,500
$3,000
$3,500
$0 - $50k $51k - $100k $101k - $250k $251k - $500k $501k+
WTP
Size of Company (MRR)
WTP for a Revenue Recognition
N = 234 companies
@PriceIntel
A good entry point
Low CAC with constant value
Creates the Requirement
Path to Share of Wallet
ProfitWell Financial metrics for the subscription economy
100% accurate SaaS metrics for free integrating 1-
click with your billing system
Central fulcrum to cust success, sales, finance,
marketing e-team, and rest of
stakeholders
Allows interface to clearly point to problems and
reinforce value of paid add-ons
@PriceIntel
Our current monetization path
ProfitWell Financial metrics for the subscription economy
Retain Rec Revenue Delinquent credit
card recovery through email, in-app snippet, and
optimization
Algorithmically solved 2-3 days of
work amongst accounting and finance team
@PriceIntel
12 hours total.
@PriceIntel
12 hours total. $2089.
@PriceIntel
We’re in a customer value centric world.
@PriceIntel
You will be left behind if you think you can brute force your growth.
@PriceIntel