Patrick Campbell

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Transcript of Patrick Campbell

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Utilizing your pricing for growth Pipeline Summit 2016

@PriceIntel

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http://www.priceintelligently.com/pipeline

[email protected]

@PriceIntel

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We live in a world where acquisition as we know it is dead

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Who are you?

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Happy customers big and small

ProfitWell SaaS pricing

software and tech enabled services

Free financial metrics for subscription

businesses

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We’ve seen inside more software companies than anyone else on the planet.

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The market is becoming saturated and unit economics just aren’t what they used to be…

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The relative value of features is declining. All software is going to $0.

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“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

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CAC is increasing over time.

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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

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We make matters worse by focusing on the wrong fundamentals

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Asked Founders/Executives

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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

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There are clear winners and losers in this environment.

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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

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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

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The root cause here stems from a lack of buyer centricity.

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We don’t really know our buyers

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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

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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

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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

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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

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We don’t realize the power of balanced growth.

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If we improve each lever by the same amount, which lever causes the most growth?

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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

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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

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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

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Improving retention and monetization has 2-4x the impact of focusing on acquisition.

@PriceIntel

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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

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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

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This should be scary.

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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

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How do we fix this?

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Quantify your buyer personas

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If you don’t know who you’re driving to your product, how do you know what build?

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Let’s walk through an example…

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ProfitWell

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“Oh you’re like….”

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“Oh you’re like….”

37 Other Competitors

(we know about)

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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

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Go to the customer!

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For the love of God. Talk to your customer.

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Great. How do we do that?

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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

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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

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Experimental Design

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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

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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

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What do people value?

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“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  

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What do your customers value the most?

More on: Relative Preference Analysis

@PriceIntel

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What do your customers value the most?

More on: Relative Preference Analysis

@PriceIntel

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What do your customers value the most?

More on: Relative Preference Analysis

@PriceIntel

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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

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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

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How much are they willing to pay?

@PriceIntel

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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

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•  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

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How much are your customers willing to pay?

More on: Relative Price Sensitivity Meter

@PriceIntel

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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

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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

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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

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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

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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

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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

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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

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12 hours total.

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12 hours total. $2089.

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We’re in a customer value centric world.

@PriceIntel

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You will be left behind if you think you can brute force your growth.

@PriceIntel

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http://www.priceintelligently.com/pipeline

[email protected]

@PriceIntel

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