Commonwealth club 020811

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Successful Strategies for Products That Win Steve Blank Stanford - School of Engineering U.C. Berkeley - Haas School Of Business www.steveblank.com Twitter: sgblank

Transcript of Commonwealth club 020811

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Successful Strategies for

Products That Win

Steve BlankStanford - School of Engineering

U.C. Berkeley - Haas School Of Business

www.steveblank.com

Twitter: sgblank

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A Few Short Stories

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There’s Something Happening Here,

What It Is Ain’t Exactly Clear

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Startup Constraints

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High Cost to First Product

Startup Constraints

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Long Time to First Product

High Cost to First Product

Startup Constraints

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Long Time to First Product

High Cost to First Product

Slow Customer Adoption

Startup Constraints

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Long Time to First Product

High Cost to First Product

High Startup Failure

Rate

Slow Customer Adoption

Startup Constraints

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Long Time to First Product

High Cost to First Product

High Startup Failure Rate

Slow Customer Adoption

Limited Number of

Venture Capitalists

Startup Constraints

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Long Time to First Product

High Cost to First Product

High Startup Failure Rate

Slow Customer Adoption

Limited Number of

Venture Capitalists

Innovation Limited to

a Few Regions

Startup Constraints

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Long Time to First Product

High Cost to First Product

High Startup Failure Rate

Slow Customer Adoption

Limited Number of

Venture Capitalists

Innovation Limited to a Few Regions

Startup Constraints

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There’s Something Happening Here,

What It Is Ain’t Exactly Clear

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Startup ConstraintsEntrepreneurial Explosion

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Low Cost to 1st Product

Entrepreneurial

Explosion

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Short Time to First Product

Low Cost to First Product

Entrepreneurial

Explosion

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Short Time to First Product

Low Cost to First Product

Fast Customer Adoption

Entrepreneurial

Explosion

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Short Time to First Product

Low Cost to First Product

Lower Startup

Failure Rate

Fast Customer Adoption

Entrepreneurial

Explosion

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Short Time to First Product

Low Cost to First Product

Lower Startup Failure Rate

Fast Customer Adoption

Rate

Large Pool of Risk Capital

Entrepreneurial

Explosion

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Short Time to First Product

Low Cost to First Product

Lower Startup Failure Rate

Global Innovation

Fast Customer Adoption

Rate

Large Pool of Risk Capital

Entrepreneurial

Explosion

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Short Time to First Product

Low Cost to First Product

Lower Startup

Failure Rate

Global Innovation

Fast Customer Adoption

Rate

Large Pool of Risk Capital

Entrepreneurial

ExplosionThis talk

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Not All Startups Are Equal

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Small Business

Startup

Small Business Startups

• Serve known customer with

known product

• Feed the family

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Small Business

Startup

Exit Criteria

- Business Model found

- Profitable business

- Existing team

< $1M in revenue

Small Business Startups

• known customer

known product

• Feed the family

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Small Business

Startup

- Business Model found

- Profitable business

- Existing team

< $10M in revenue

Small Business Startups

• 5.7 million small businesses in the U.S. <500 employees

• 99.7% of all companies

• ~ 50% of total U.S. workershttp://www.sba.gov/advo/stats/sbfaq.pdf

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TransitionLarge

CompanyScalableStartup

Sustaining Innovation

• Existing Market / Known customer

•Known product feature needs

Large Company Sustaining Innovation

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Large Company Disruptive Innovation

New Division

TransitionLarge

Company

Disruptive Innovation

•New Market

•New tech, customers, channels

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Large Company Disruptive Innovation

New Division TransitionLarge Company

Disruptive Innovation•Build

•Acquire

- Talent

- Product

- Customers

- Business

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ScalableStartup

Large Company

Scalable Startup

Goal is to solve for:

unknown customer and

unknown features

Search

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ScalableStartup

Large Company

Exit Criteria

- Business model found

- Total Available Market > $500m -$1B

- Can grow to $100m/year

Scalable Startup

Search Execute

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ScalableStartup

Large Company

-Total Available Market > $500m

- Company can grow to $100m/year

- Business model found

- Focused on execution and process

- Typically requires “risk capital”

Scalable Startup

• In contrast a scalable startup is designed to grow big

• Typically needs risk capital

• What Silicon Valley means when they say “Startup”

Search Execute

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ScalableStartup

Large Company

-Business Model found

- i.e. Product/Market fit

- Repeatable sales model

- Managers hired

What’s A Startup?

A Startup is a temporary organization used to search for

a scalable and repeatable business model

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ScalableStartup

Large Company

Transition

What VC’s Don’t Tell You:

The Transition

Search Build Execute

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ScalableStartup

Large Company

Transition

-Founders depart

- CEO = Operating Exec

- Professional Mgmt

-Process

- Beginning of scale

What VC’s Don’t Tell You:

The Transition – Founders Leave

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ScalableStartup

Large Company

Transition

-Business Model found

- i.e. Product/Market fit

- Repeatable sales model

- Managers hired

What’s A Startup?

You fail if you stay a startup

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Why Startups Are Not Small

Versions of A Large Company

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ScalableStartup

Large Company

Transition

Business Model found by founders

- customer needs/product features found

i.e. Product/Market fit

- Repeatable sales model

- Managers hired

The Search for the Business Model

Startups Search and Pivot

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ScalableStartup

Large Company

Transition

-Business Model found

- Product/Market fit

- Repeatable sales model

- Managers hired

- Cash-flow breakeven

- Profitable

- Rapid scale

- New Senior Mgmt

~ 150 people

The Search for the Business Model The Execution of the Business Model

Startups Search, Companies Execute

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ScalableStartup

LargeCompany

Transition

Traditional Accounting

-Balance Sheet

- Cash Flow Statement

- Income Statement

The Execution of the Business Model

Metrics Versus Accounting

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ScalableStartup

LargeCompany

Transition

Startup Metrics

- Customer Acquisition Cost

- Viral coefficient

- Customer Lifetime Value

- Average Selling Price/Order Size

- Monthly burn rate

- etc.

Traditional Accounting

- Balance Sheet

- Cash Flow Statement

- Income Statement

The Search for the Business Model The Execution of the Business Model

Metrics Versus Accounting

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ScalableStartup

LargeCompany

Transition

Sales

-Sales Organization

- Scalable

- Price List/Data Sheets

- Revenue Plan

The Execution of the Business Model

Customer Validation Versus Sales

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ScalableStartup

LargeCompany

Transition

Customer Validation

- Early Adopters

- Pricing/Feature unstable

- Not yet repeatable

-“One-off’s”

Sales

- Sales Organization

- Scalable

- Price List/Data Sheets

- Revenue Plan

The Search for the Business Model The Execution of the Business Model

Customer Validation Versus Sales

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ScalableStartup

Large Company

Transition

The Execution of the Business Model

Engineering Versus

Agile Development

Engineering

- Requirements Docs.

- Waterfall Development

- QA

- Tech Pubs

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ScalableStartup

Large Company

Transition

Agile Development

- Continuous Deployment

- Continuous Learning

- Self Organizing Teams

- Minimum Feature Set

- Pivots

The Search for the Business Model The Execution of the Business Model

Engineering Versus

Agile Development

Engineering

- Requirements Docs.

- Waterfall Development

- QA

- Tech Pubs

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ScalableStartup

Large Company

Transition

Business Plan

-describes “knowns”

- features

- customers/markets

- business model

The Execution of the Business Model

Startups Model, Companies Plan

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ScalableStartup

Large Company

Transition

-Business Model

- describes “unknowns”

-customer needs

- feature set

- business model

- found by iteration

The Search for the Business Model

Startups Model, Companies Plan

The Execution of the Business Model

-Plan describes “knowns”

- Known features for line extensions

- Known customers/markets

- Known business model

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Why Startups Fail

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More startups fail from

a lack of customers than from a

failure of product development

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Product Introduction Model

Concept/Seed Round

Product Dev.

Alpha/Beta Test

Launch/1st Ship

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Product Introduction Model

Concept/Seed Round

Product Dev.

Alpha/Beta Test

Launch/1st Ship

The Leading Cause of Startup Death

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Product Introduction Model:Two Implicit Assumptions

Customer Problem: known

Product Features: known

Concept/Seed Round

Product Dev.

Alpha/Beta Test

Launch/1st Ship

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Tradition – Hire Marketing

Concept/Seed Round

Product Dev.

Alpha/Beta Test

Launch/1st Ship

- Create Marcom Materials

- Create Positioning

- Hire PR Agency- Early Buzz

- Create Demand- Launch Event- “Branding”

Marketing

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Tradition – Hire Sales

Concept/Seed Round

Product Dev.

Alpha/Beta Test

Launch/1st Ship

- Create Marcom Materials

- Create Positioning

- Hire PR Agency- Early Buzz

- Create Demand- Launch Event- “Branding”

• Build Sales Organization

Marketing

Sales • Hire Sales VP• Hire 1st Sales Staff

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Tradition – Hire Bus Development

Concept Product Dev.

Alpha/Beta Test

Launch/1st Ship

- Create Marcom Materials

- Create Positioning

- Hire PR Agency- Early Buzz

- Create Demand- Launch Event- “Branding”

• Hire Sales VP• Pick distribution Channel

• Build Sales Channel / Distribution

Marketing

Sales

• Hire FirstBus Dev

• Do deals for FCSBusiness

Development

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Tradition – Hire Engineering

Concept Product Dev.

Alpha/Beta Test

Launch/1st Ship

- Create Marcom Materials

- Create Positioning

- Hire PR Agency- Early Buzz

- Create Demand- Launch Event- “Branding”

• Hire Sales VP• Pick distribution Channel

• Build Sales Channel / Distribution

Marketing

Sales

• Hire FirstBus Dev

• Do deals for FCSBusiness

Development

Engineering • Write MRD • Waterfall • Q/A •Tech Pubs

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How Startups Succeed

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No Business Plan survives first

contact with customers

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So Search for a Business Model

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The Business Model:

Any company can be described in 9 building blocks

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CUSTOMER SEGMENTS

which customers and users are you serving?

which jobs do they really want to get done?

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VALUE PROPOSITIONS

what are you offering them? what is that

getting done for them? do they care?

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CHANNELS

how does each customer segment want to be reached?

through which interaction points?

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CUSTOMER RELATIONSHIPS

what relationships are you establishing with each segment?

personal? automated? acquisitive? retentive?

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REVENUE STREAMS

what are customers really willing to pay for? how?

are you generating transactional or recurring revenues?

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KEY RESOURCES

which resources underpin your business model? which

assets are essential?

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KEY ACTIVITIES

which activities do you need to perform well in your

business model? what is crucial?

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KEY PARTNERS

which partners and suppliers leverage your model?

who do you need to rely on?

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COST STRUCTURE

what is the resulting cost structure?

which key elements drive your costs?

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69images by JAM

customer

segments

key

partners

cost

structure

revenue

streams

channels

customer

relationships

key activities

key

resources

value

proposition

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How Do Startups Search For A

Business Model?

• The Search is called Customer Development

• The Implementation is called Agile Development

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The Lean Startup

• The Search is called Customer Development

• The Implementation is called Agile Development

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Customer

Development

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Customer Development

Get Out of the Building

The founders

^

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Customer Development

Concept/Bus. Plan

Product Dev.

Alpha/Beta Test

Launch/1st Ship

Product Development

CustomerDevelopment

CompanyBuilding

CustomerDiscovery

CustomerValidation

Customer Creation

+

Pivot

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• Stop selling, start listening

• Test your hypotheses

• Continuous Discovery

• Done by founders

Customer Discovery

CustomerDiscovery

CustomerValidation

CompanyBuilding

CustomerCreation

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Test

Hypotheses:

•Product

• Market Type

• Competition

Turning Hypotheses to Facts

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Test

Hypotheses:

•Problem

• Customer

• User

• Payer

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Test Hypotheses:

•Channel

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Test

Hypotheses:

•Problem

• Customer

• User

• Payer

Test

Hypotheses:

•Demand

Creation

Test Hypotheses:

•Channel

Test

Hypotheses:

•Product

• Market Type

• Competitive

Test Hypotheses:

•Pricing Model / Pricing

Test Hypotheses:

•Size of Opportunity/Market

• Validate Business Model

Test

Hypotheses:

•Channel

• (Customer)

• (Problem)

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Test

Hypotheses:

•Problem

• Customer

• User

• Payer

Test

Hypotheses:

•Demand

Creation

Test Hypotheses:

•Channel

Test

Hypotheses:

•Product

• Market Type

• Competitive

Test Hypotheses:

•Pricing Model / Pricing

Test Hypotheses:

•Size of Opportunity/Market

• Validate Business Model

Test

Hypotheses:

•Channel

• (Customer)

• (Problem)Customer

Development

Team

Agile

Development

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Test

Hypotheses:

•Problem

• Customer

• User

• Payer

Test

Hypotheses:

•Demand

Creation

Test Hypotheses:

•Channel

Test

Hypotheses:

•Product

• Market Type

• Competitive

Test Hypotheses:

•Pricing Model / Pricing

Test Hypotheses:

•Size of Opportunity/Market

• Validate Business Model

Test

Hypotheses:

•Channel

• (Customer)

• (Problem)Customer

Development

Team

Agile

Development

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The Pivot

•The heart of Customer Development

•Iteration without crisis

•Fast, agile and opportunistic

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Wrap Up

• Startup are not small versions of large companies

• Traditional big company planning tools fail

• Startups are built on hypotheses

– You need to test each one of them

– Business Models help you keep score

– Customer Development is how you test hypotheses

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This Presentation Combines

www.businessmodelgeneration.comwww.steveblank.com

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I Write a Blog

www.steveblank.com

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Thanks

www.steveblank.com

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Atoms or Bits?

Speed of Experimentation

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Atoms or Bits?

• Access to customers changes dramatically

• The product can be “bits” or physical

• The sales channel can be “web” or physical

• Speed of experimentation increases and cost

decreases when both are bits

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Distribution Channel – Bits or Atoms?

Channel

Web Physical

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The Product - Bits vs. Atoms

Channel

Web Physical

Product

Bits

Physical

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Product & Channel are Bits

Channel

Web Physical

Product

Bits

• RapidAgile and Customer development

• Fastest to acquire early customers and scale

Physical

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Web 2.0 - Product & Channel are Bits

Channel

Web Physical

Product

Bits

Google, Twitter,

Facebook, Zynga, Cloud

Services

Physical

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Product is Bits but Channel is People

Channel

Web Physical

Product

Bits

• RapidAgile and Customer development

• Fastest to acquire early customers and scale

• RapidAgile and Customer development

•Traditional sales channel• May require installation

Physical

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Traditional Enterprise Software

Channel

Web Physical

Product

Bits

Google, Twitter,

Facebook, Zynga, Cloud

Services

Microsoft, SAP, Oracle

Physical

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Physical Products Sold Over the Web

Channel

Web Physical

Product

Bits

• RapidAgile and Customer development

• Fastest to acquire early customers and scale

• RapidAgile and Customer development

•Traditional sales channel• May require installation

Physical

• RapidCustomer development

• Logistics, shipping and manufacturing critical

• Customer service

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Killing Traditional Storefronts

Channel

Web Physical

Product

Bits

Google, Twitter,

Facebook, Zynga, Cloud

Services

Microsoft, SAP, Oracle

Physical

Zappos, Amazon,

Cafepress, Netflix,

consumer electronics

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The Factories May be in China

Channel

Web Physical

Product

Bits

• RapidAgile and Customer development

• Fastest to acquire early customers and scale

• RapidAgile and Customer development

•Traditional sales channel• May require installation

Physical

• RapidCustomer development

• Logistics, shipping and manufacturing critical

• Customer service

• Longer customer feedbackcycle

• May require large capital requirements for scale

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We Still Make Things that Need

Salespeople

Channel

Web Physical

Product

Bits

Google, Twitter,

Facebook, Zynga, Cloud

Services

Microsoft, SAP, Oracle

Physical

Zappos, Amazon,

Cafepress, Netflix,

consumer electronics

Cars, Solar Panels, Wind

Turbines, bookstores,

consumer electronics

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Speed of Experimentation

Channel

Web Physical

Product

Bits

Physical

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Silicon Valley - A Happy Accident

• Cold war research in microwaves/electronics at Stanford

• Cold war military funding drives Stanford spinouts in

microwaves for the defense industry in the 1950’s

• Stanford Engineering Dean encourages startup culture

• A Bell Labs researcher starts his semiconductor

company next to Stanford in in 1956 which led to…

• the wave of semiconductor startups in the 1960’s/70’s

• the emergence of venture capital as an industry

• the personal computer revolution in 1980’s

• the rise of the Internet in the 1990’s and finally

• the internet commerce applications of the 21st century.