SlideShare a Scribd company logo
1 of 19
Business Strategy – Milestone 1
          Team 1: David Tse
           Thomas Klejna
          Timothy Malcolm
           Kimberly Rocio
23andMe Company Overview
 Privately-held, personal genomics company based
 in Mountain View, CA. Founded in 2007.
   Develops new methods to enable consumers to gain
    access to and understand their own genetic
    information.
   Currently providing genetic links to over 100
    diseases, conditions, and traits.
Mission & Values
 23andMe's mission is to:
   Be the world's trusted source of personal genetic
    information.
 23andMe’s values:
   Encourage dialogue on the ethical, social and policy
    implications of personalized genetic services.
   Protect customers’ genetic privacy.
   Give people control over their own genetic information.
   Educate users to interpret their data.
Service Offerings
 Health and Traits
   Reports on over 40 different human traits
          influenced by genetic factors.
 Ancestry
   Discover your DNA ancestry for your entire genome.
   Relative Finder
          Find all other 23andMe members who match your DNA.
     Genetic Inheritance
          Identify traits you and your relatives share in common.
 Community
   Network with other 23andMe users.
   Contribute to research studies by filling out surveys.
Internal Analysis
 Core Competencies
   Analysis, interpretation & presentation of genetic data.
   Technical expertise – scientific advisors.

 Technology
   Outsources testing of SNP for genetic information.
   Interprets data and presents it to the user as health & ancestry info.

 Sales & Marketing
   Kits sold from 23andMe website only.
     Discounts/promotions: DNA day.

   YouTube channel.
   Recruit celebrities as customers.

 Financial Condition
   Powerful financial backers (Google, Genentech, J&J).
   Large total investment.
Strengths
 Differentiating features of service:
     Breadth of information available.
     Gives consumers open and direct access to their data (without
      going through their physicians).
 Well-funded ($52.6M raised to date).
 Better brand recognition than competitors.
 Loyal customer base of early adopters.
 Strong scientific networking community (key
  industry & academic opinion leaders).
 Relatively low product price point ($99 + monthly
  subscription fee).
Weaknesses
 Lack of focus in company direction & how projects
  connect to company goals.
 Poor market research - not targeting potential
  customers (i.e., slow growth)
 Customers unsure how to take advantage of their data.
   Customer service infrastructure to help is lacking.
  Algorithm for determining chances of disease are not
  fool-proof (industry challenge).
  Does not yet have a diverse enough genetic pool for
  ancestry data.
  Recent downsizing and departure of co-founder.
Threats
 Currently in “The Chasm”.
 Ethical and legal questions.
   FDA threatens to impose regulations on interpretation of
      genetic data.
 Competitors:
     Navigenics
     DeCode Genetics
     Good Start Genetics
     GenePartner
     ScientificMatch
Potential Opportunities
 Personal genetic make-ups will become a part of
  health care.
 New technologies are becoming more cost-
  effective.
 Gene therapy or drugs targeted specifically at
 mutation carriers (do not yet exist).
 Market potential is huge.
Problem Statement
1. 23andMe has not successfully reached potential
  customers with their brand.
   Have not convinced “main street” users that they need or
    want this service.
2. Lacks clear focus – advertises as a health
  diagnostics company, an ancestry company, a
  research database.
   Customers are overwhelmed and confused by the breadth
    and presentation of information.
   Very little a person can do to act on the information
    provided by genetic testing.
Business Strategies
1. Focus on development of an improved user
  interface personalized to the needs of the
  consumer:
   Allow users to customize information that is most important
    to them.
   Offer customer service to help consumers understand and
    navigate their information.

2. Focus on a sales and marketing campaign that
  makes product easily accessible & brand easily
  recognizable to consumers:
   Sell kits that are available in high-trafficked stores and
    websites.
   Advertise – Internet, TV, etc.
Business Strategies (cont’d)
3. Limit company focus to one core emphasis –
  health, ancestry, or research
   Improve competency in one key area and go after a niche
    market.
   Once they’ve defined their target market they can better
    define how to generate revenue.

4. Create partnerships that allow user to do
  something useful with their genetic information:
   Genetic counseling partnerships - resource to digest data
    and make important lifestyle changes.
   Research community and charity partnerships - further
    research by sharing information or making a donation.
Conclusion
 23andMe is a promising company that has run into
  problems achieving its vision.
 23andMe has potential to achieve:
   A large and profitable customer base.
   Industry leadership.
   Make a real difference in peoples’ lives.
Questions??
References
 Slide 5,6: http://techcrunch.com/2011/01/07/johnson-johnson-leads-9-million-
  investment-in-personal-genetics-startup-23andme/
 Slide 6,7,10: http://www.xconomy.com/san-francisco/2011/05/24/23andme-
  moves-beyond-simple-consumer-dna-sequencing-sets-sight-on-research/2/
 Slide 6,10: http://www.physorg.com/news/2011-06-google-backed-23andme-
  major-milestone-users.html
 Slide 6,7,10:
  http://www.nytimes.com/2010/03/20/business/20consumergene.html?adxnnl=1&
  pagewanted=all&adxnnlx=1330304942-mwbYLXt9FVEw3ZGoaNLpqw
 Slide 6: http://www.fitsugar.com/Review-23andMes-DNA-Testing-Kit-15179775
 Slide 5,6,10: https://www.23andme.com/
 Slide 6,10: http://spittoon.23andme.com/2011/10/26/a-prescription-for-
  personalizing-medicine/
 Slide 6,7: http://hmg.oxfordjournals.org/content/17/R2/R180.full
 Slide 5,7: http://spittoon.23andme.com/2012/01/08/an-update-to-23andme-
  customers/
Backup Slides
Management Team
 Anne Wojcicki - Co-founder
 Esther Dyson - Director
 Serafim Batzoglou - Scientific Advisor
 Brian Naughton - Product Manager
 Patrick Chung - Board Member
Financials
 $2.00M in sales according to Hoovers.com
Funding
 Series A, 5/07, $9M
   Genentech, Google, Mohr Davidow Ventures, New
    Enterprise Associates
 Series B, 6/09, $12.6M
   Google, Sergey Brin
 Series C, 11/10, $22M
   Johnson & Johnson Development Corporation, New
    Enterprise Associates, Google Ventures
 Series C, 1/11, $9M
   Johnson & Johnson Development

Funding Total = $52.6M

More Related Content

What's hot

Data Mining and Big Data Analytics in Pharma
Data Mining and Big Data Analytics in Pharma Data Mining and Big Data Analytics in Pharma
Data Mining and Big Data Analytics in Pharma Ankur Khanna
 
Tomo Wavelabs I-Corps@NIH 121014
Tomo Wavelabs I-Corps@NIH 121014Tomo Wavelabs I-Corps@NIH 121014
Tomo Wavelabs I-Corps@NIH 121014Stanford University
 
Magnamosis inc final presentation 12 10
Magnamosis inc final presentation 12 10Magnamosis inc final presentation 12 10
Magnamosis inc final presentation 12 10Stanford University
 
Proteocyte presentation slideshare- february 2015
Proteocyte presentation   slideshare- february 2015Proteocyte presentation   slideshare- february 2015
Proteocyte presentation slideshare- february 2015proteocyte
 
Big Data in Pharma - Overview and Use Cases
Big Data in Pharma - Overview and Use CasesBig Data in Pharma - Overview and Use Cases
Big Data in Pharma - Overview and Use CasesJosef Scheiber
 
EncepHeal Pitch deck
EncepHeal Pitch deckEncepHeal Pitch deck
EncepHeal Pitch deckAaron Lazarus
 
Pharma data analytics
Pharma data analyticsPharma data analytics
Pharma data analyticsAxon Lawyers
 
BioHybrid Graft I-Corps@NIH 121014
BioHybrid Graft I-Corps@NIH 121014BioHybrid Graft I-Corps@NIH 121014
BioHybrid Graft I-Corps@NIH 121014Stanford University
 
MDC Connect: In-Silico Drug Design - what to do, what not to do - project dri...
MDC Connect: In-Silico Drug Design - what to do, what not to do - project dri...MDC Connect: In-Silico Drug Design - what to do, what not to do - project dri...
MDC Connect: In-Silico Drug Design - what to do, what not to do - project dri...Medicines Discovery Catapult
 
5th Tumor Models Boston July 2017 Brochure
5th Tumor Models Boston July 2017 Brochure5th Tumor Models Boston July 2017 Brochure
5th Tumor Models Boston July 2017 BrochureDiane McKenna
 
BioVariance - Pediatric Pharmacogenomics in Drug Discovery
BioVariance - Pediatric Pharmacogenomics in Drug DiscoveryBioVariance - Pediatric Pharmacogenomics in Drug Discovery
BioVariance - Pediatric Pharmacogenomics in Drug DiscoveryJosef Scheiber
 
DataPharmaNovember2016
DataPharmaNovember2016DataPharmaNovember2016
DataPharmaNovember2016Pfizer
 
Wsdanjohncleland
WsdanjohnclelandWsdanjohncleland
Wsdanjohncleland3GDR
 
Result care lean launchpad week 1 slides v2
Result care lean launchpad week 1 slides v2Result care lean launchpad week 1 slides v2
Result care lean launchpad week 1 slides v2Stanford University
 
IBM Watson for Drug Discovery
IBM Watson for Drug DiscoveryIBM Watson for Drug Discovery
IBM Watson for Drug DiscoveryPhilipp Theis
 

What's hot (20)

Data Mining and Big Data Analytics in Pharma
Data Mining and Big Data Analytics in Pharma Data Mining and Big Data Analytics in Pharma
Data Mining and Big Data Analytics in Pharma
 
Tomo Wavelabs I-Corps@NIH 121014
Tomo Wavelabs I-Corps@NIH 121014Tomo Wavelabs I-Corps@NIH 121014
Tomo Wavelabs I-Corps@NIH 121014
 
Magnamosis inc final presentation 12 10
Magnamosis inc final presentation 12 10Magnamosis inc final presentation 12 10
Magnamosis inc final presentation 12 10
 
Sol padis dec10-llp-2013
Sol padis dec10-llp-2013Sol padis dec10-llp-2013
Sol padis dec10-llp-2013
 
A batch of one
A batch of one  A batch of one
A batch of one
 
Novoron I-Corps@NIH 121014
Novoron I-Corps@NIH 121014 Novoron I-Corps@NIH 121014
Novoron I-Corps@NIH 121014
 
Proteocyte presentation slideshare- february 2015
Proteocyte presentation   slideshare- february 2015Proteocyte presentation   slideshare- february 2015
Proteocyte presentation slideshare- february 2015
 
Big Data in Pharma - Overview and Use Cases
Big Data in Pharma - Overview and Use CasesBig Data in Pharma - Overview and Use Cases
Big Data in Pharma - Overview and Use Cases
 
EncepHeal Pitch deck
EncepHeal Pitch deckEncepHeal Pitch deck
EncepHeal Pitch deck
 
Pharma data analytics
Pharma data analyticsPharma data analytics
Pharma data analytics
 
Webinar - State of the Discovery Nation 2019
Webinar - State of the Discovery Nation 2019Webinar - State of the Discovery Nation 2019
Webinar - State of the Discovery Nation 2019
 
BioHybrid Graft I-Corps@NIH 121014
BioHybrid Graft I-Corps@NIH 121014BioHybrid Graft I-Corps@NIH 121014
BioHybrid Graft I-Corps@NIH 121014
 
MDC Connect: In-Silico Drug Design - what to do, what not to do - project dri...
MDC Connect: In-Silico Drug Design - what to do, what not to do - project dri...MDC Connect: In-Silico Drug Design - what to do, what not to do - project dri...
MDC Connect: In-Silico Drug Design - what to do, what not to do - project dri...
 
Affinity I-Corps@NIH 121014
Affinity I-Corps@NIH 121014Affinity I-Corps@NIH 121014
Affinity I-Corps@NIH 121014
 
5th Tumor Models Boston July 2017 Brochure
5th Tumor Models Boston July 2017 Brochure5th Tumor Models Boston July 2017 Brochure
5th Tumor Models Boston July 2017 Brochure
 
BioVariance - Pediatric Pharmacogenomics in Drug Discovery
BioVariance - Pediatric Pharmacogenomics in Drug DiscoveryBioVariance - Pediatric Pharmacogenomics in Drug Discovery
BioVariance - Pediatric Pharmacogenomics in Drug Discovery
 
DataPharmaNovember2016
DataPharmaNovember2016DataPharmaNovember2016
DataPharmaNovember2016
 
Wsdanjohncleland
WsdanjohnclelandWsdanjohncleland
Wsdanjohncleland
 
Result care lean launchpad week 1 slides v2
Result care lean launchpad week 1 slides v2Result care lean launchpad week 1 slides v2
Result care lean launchpad week 1 slides v2
 
IBM Watson for Drug Discovery
IBM Watson for Drug DiscoveryIBM Watson for Drug Discovery
IBM Watson for Drug Discovery
 

Similar to Team1 evening business-strategy_milestone1

JournalofPrecisionMedicine_May_June2016
JournalofPrecisionMedicine_May_June2016JournalofPrecisionMedicine_May_June2016
JournalofPrecisionMedicine_May_June2016Franziska Moeckel, MBA
 
Vivid Provider Mini Capabilities 2009
Vivid Provider Mini Capabilities 2009Vivid Provider Mini Capabilities 2009
Vivid Provider Mini Capabilities 2009lillianthiemann
 
Co-Creation with Customers-By Aviroop Banik,Rizvi Institute of Management Stu...
Co-Creation with Customers-By Aviroop Banik,Rizvi Institute of Management Stu...Co-Creation with Customers-By Aviroop Banik,Rizvi Institute of Management Stu...
Co-Creation with Customers-By Aviroop Banik,Rizvi Institute of Management Stu...Aviroop Banik
 
How to Create a Big Data Culture in Pharma
How to Create a Big Data Culture in PharmaHow to Create a Big Data Culture in Pharma
How to Create a Big Data Culture in PharmaChris Waller
 
Pharma Market Research Report Dec 2013
Pharma Market Research Report Dec 2013Pharma Market Research Report Dec 2013
Pharma Market Research Report Dec 2013Brian Attig
 
Social Media for Business Success: Life Sciences January 2011
Social Media for Business Success: Life Sciences January 2011Social Media for Business Success: Life Sciences January 2011
Social Media for Business Success: Life Sciences January 2011Hamill Associates Ltd
 
Invitae Investment Presentation
Invitae Investment PresentationInvitae Investment Presentation
Invitae Investment PresentationZacharyHensley4
 
Rock Report: Personalization in Consumer Health by @Rock_Health
Rock Report: Personalization in Consumer Health by @Rock_HealthRock Report: Personalization in Consumer Health by @Rock_Health
Rock Report: Personalization in Consumer Health by @Rock_HealthRock Health
 
A Case for Healthcare Content Marketing
A Case for Healthcare Content MarketingA Case for Healthcare Content Marketing
A Case for Healthcare Content MarketingMike Ranalli
 
Matching Customer's expectations for Innovative Future
Matching Customer's expectations for Innovative FutureMatching Customer's expectations for Innovative Future
Matching Customer's expectations for Innovative FutureRuby Med Plus
 
Generic Pharma at Strategic Inflection Point - IHF - CEO Nicos Rossides
 Generic Pharma at Strategic Inflection Point - IHF - CEO Nicos Rossides Generic Pharma at Strategic Inflection Point - IHF - CEO Nicos Rossides
Generic Pharma at Strategic Inflection Point - IHF - CEO Nicos RossidesMedochemie Ltd
 
Content Marketing Rules for Healthcare Organizations
Content Marketing Rules for Healthcare OrganizationsContent Marketing Rules for Healthcare Organizations
Content Marketing Rules for Healthcare OrganizationsAIS Media, Inc.
 
Fulgent Genetics - Biotech - Total return >200%
Fulgent Genetics - Biotech - Total return >200%Fulgent Genetics - Biotech - Total return >200%
Fulgent Genetics - Biotech - Total return >200%Rogelio Rea
 

Similar to Team1 evening business-strategy_milestone1 (20)

JournalofPrecisionMedicine_May_June2016
JournalofPrecisionMedicine_May_June2016JournalofPrecisionMedicine_May_June2016
JournalofPrecisionMedicine_May_June2016
 
Vivid Provider Mini Capabilities 2009
Vivid Provider Mini Capabilities 2009Vivid Provider Mini Capabilities 2009
Vivid Provider Mini Capabilities 2009
 
Co-Creation with Customers-By Aviroop Banik,Rizvi Institute of Management Stu...
Co-Creation with Customers-By Aviroop Banik,Rizvi Institute of Management Stu...Co-Creation with Customers-By Aviroop Banik,Rizvi Institute of Management Stu...
Co-Creation with Customers-By Aviroop Banik,Rizvi Institute of Management Stu...
 
How to Create a Big Data Culture in Pharma
How to Create a Big Data Culture in PharmaHow to Create a Big Data Culture in Pharma
How to Create a Big Data Culture in Pharma
 
Hfn investor pitch_deck
Hfn investor pitch_deckHfn investor pitch_deck
Hfn investor pitch_deck
 
Hfn pitch deck
Hfn pitch deckHfn pitch deck
Hfn pitch deck
 
Pharma Market Research Report Dec 2013
Pharma Market Research Report Dec 2013Pharma Market Research Report Dec 2013
Pharma Market Research Report Dec 2013
 
Social Media for Business Success: Life Sciences January 2011
Social Media for Business Success: Life Sciences January 2011Social Media for Business Success: Life Sciences January 2011
Social Media for Business Success: Life Sciences January 2011
 
Industry Trends in Innovation
Industry Trends in InnovationIndustry Trends in Innovation
Industry Trends in Innovation
 
Invitae Investment Presentation
Invitae Investment PresentationInvitae Investment Presentation
Invitae Investment Presentation
 
Rock Report: Personalization in Consumer Health by @Rock_Health
Rock Report: Personalization in Consumer Health by @Rock_HealthRock Report: Personalization in Consumer Health by @Rock_Health
Rock Report: Personalization in Consumer Health by @Rock_Health
 
A Case for Healthcare Content Marketing
A Case for Healthcare Content MarketingA Case for Healthcare Content Marketing
A Case for Healthcare Content Marketing
 
Strand genomics features in CIO review
Strand genomics features in CIO reviewStrand genomics features in CIO review
Strand genomics features in CIO review
 
Is Pharma Ready
Is Pharma ReadyIs Pharma Ready
Is Pharma Ready
 
Matching Customer's expectations for Innovative Future
Matching Customer's expectations for Innovative FutureMatching Customer's expectations for Innovative Future
Matching Customer's expectations for Innovative Future
 
Data mining applications
Data mining applicationsData mining applications
Data mining applications
 
Generic Pharma at Strategic Inflection Point - IHF - CEO Nicos Rossides
 Generic Pharma at Strategic Inflection Point - IHF - CEO Nicos Rossides Generic Pharma at Strategic Inflection Point - IHF - CEO Nicos Rossides
Generic Pharma at Strategic Inflection Point - IHF - CEO Nicos Rossides
 
Content Marketing Rules for Healthcare Organizations
Content Marketing Rules for Healthcare OrganizationsContent Marketing Rules for Healthcare Organizations
Content Marketing Rules for Healthcare Organizations
 
Differentiation strategies for the generic industrry
Differentiation strategies for the generic industrryDifferentiation strategies for the generic industrry
Differentiation strategies for the generic industrry
 
Fulgent Genetics - Biotech - Total return >200%
Fulgent Genetics - Biotech - Total return >200%Fulgent Genetics - Biotech - Total return >200%
Fulgent Genetics - Biotech - Total return >200%
 

Recently uploaded

8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCRashishs7044
 
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deckPitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deckHajeJanKamps
 
Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Kirill Klimov
 
Marketplace and Quality Assurance Presentation - Vincent Chirchir
Marketplace and Quality Assurance Presentation - Vincent ChirchirMarketplace and Quality Assurance Presentation - Vincent Chirchir
Marketplace and Quality Assurance Presentation - Vincent Chirchirictsugar
 
Annual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesAnnual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesKeppelCorporation
 
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...lizamodels9
 
Buy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail AccountsBuy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail AccountsBuy Verified Accounts
 
Case study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailCase study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailAriel592675
 
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu MenzaYouth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menzaictsugar
 
Keppel Ltd. 1Q 2024 Business Update Presentation Slides
Keppel Ltd. 1Q 2024 Business Update  Presentation SlidesKeppel Ltd. 1Q 2024 Business Update  Presentation Slides
Keppel Ltd. 1Q 2024 Business Update Presentation SlidesKeppelCorporation
 
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City GurgaonCall Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaoncallgirls2057
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...lizamodels9
 
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort ServiceCall US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Servicecallgirls2057
 
India Consumer 2024 Redacted Sample Report
India Consumer 2024 Redacted Sample ReportIndia Consumer 2024 Redacted Sample Report
India Consumer 2024 Redacted Sample ReportMintel Group
 
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCRashishs7044
 
Future Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionFuture Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionMintel Group
 
Intro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdfIntro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdfpollardmorgan
 
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,noida100girls
 
FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607dollysharma2066
 
Marketing Management Business Plan_My Sweet Creations
Marketing Management Business Plan_My Sweet CreationsMarketing Management Business Plan_My Sweet Creations
Marketing Management Business Plan_My Sweet Creationsnakalysalcedo61
 

Recently uploaded (20)

8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
 
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deckPitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
 
Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024
 
Marketplace and Quality Assurance Presentation - Vincent Chirchir
Marketplace and Quality Assurance Presentation - Vincent ChirchirMarketplace and Quality Assurance Presentation - Vincent Chirchir
Marketplace and Quality Assurance Presentation - Vincent Chirchir
 
Annual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesAnnual General Meeting Presentation Slides
Annual General Meeting Presentation Slides
 
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
 
Buy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail AccountsBuy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail Accounts
 
Case study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailCase study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detail
 
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu MenzaYouth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
 
Keppel Ltd. 1Q 2024 Business Update Presentation Slides
Keppel Ltd. 1Q 2024 Business Update  Presentation SlidesKeppel Ltd. 1Q 2024 Business Update  Presentation Slides
Keppel Ltd. 1Q 2024 Business Update Presentation Slides
 
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City GurgaonCall Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
 
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort ServiceCall US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
 
India Consumer 2024 Redacted Sample Report
India Consumer 2024 Redacted Sample ReportIndia Consumer 2024 Redacted Sample Report
India Consumer 2024 Redacted Sample Report
 
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
 
Future Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionFuture Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted Version
 
Intro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdfIntro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdf
 
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
 
FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607
 
Marketing Management Business Plan_My Sweet Creations
Marketing Management Business Plan_My Sweet CreationsMarketing Management Business Plan_My Sweet Creations
Marketing Management Business Plan_My Sweet Creations
 

Team1 evening business-strategy_milestone1

  • 1. Business Strategy – Milestone 1 Team 1: David Tse Thomas Klejna Timothy Malcolm Kimberly Rocio
  • 2. 23andMe Company Overview  Privately-held, personal genomics company based in Mountain View, CA. Founded in 2007.  Develops new methods to enable consumers to gain access to and understand their own genetic information.  Currently providing genetic links to over 100 diseases, conditions, and traits.
  • 3. Mission & Values  23andMe's mission is to:  Be the world's trusted source of personal genetic information.  23andMe’s values:  Encourage dialogue on the ethical, social and policy implications of personalized genetic services.  Protect customers’ genetic privacy.  Give people control over their own genetic information.  Educate users to interpret their data.
  • 4. Service Offerings  Health and Traits  Reports on over 40 different human traits influenced by genetic factors.  Ancestry  Discover your DNA ancestry for your entire genome.  Relative Finder  Find all other 23andMe members who match your DNA.  Genetic Inheritance  Identify traits you and your relatives share in common.  Community  Network with other 23andMe users.  Contribute to research studies by filling out surveys.
  • 5. Internal Analysis  Core Competencies  Analysis, interpretation & presentation of genetic data.  Technical expertise – scientific advisors.  Technology  Outsources testing of SNP for genetic information.  Interprets data and presents it to the user as health & ancestry info.  Sales & Marketing  Kits sold from 23andMe website only.  Discounts/promotions: DNA day.  YouTube channel.  Recruit celebrities as customers.  Financial Condition  Powerful financial backers (Google, Genentech, J&J).  Large total investment.
  • 6. Strengths  Differentiating features of service:  Breadth of information available.  Gives consumers open and direct access to their data (without going through their physicians).  Well-funded ($52.6M raised to date).  Better brand recognition than competitors.  Loyal customer base of early adopters.  Strong scientific networking community (key industry & academic opinion leaders).  Relatively low product price point ($99 + monthly subscription fee).
  • 7. Weaknesses  Lack of focus in company direction & how projects connect to company goals.  Poor market research - not targeting potential customers (i.e., slow growth)  Customers unsure how to take advantage of their data.  Customer service infrastructure to help is lacking. Algorithm for determining chances of disease are not fool-proof (industry challenge). Does not yet have a diverse enough genetic pool for ancestry data. Recent downsizing and departure of co-founder.
  • 8. Threats  Currently in “The Chasm”.  Ethical and legal questions.  FDA threatens to impose regulations on interpretation of genetic data.  Competitors:  Navigenics  DeCode Genetics  Good Start Genetics  GenePartner  ScientificMatch
  • 9. Potential Opportunities  Personal genetic make-ups will become a part of health care.  New technologies are becoming more cost- effective.  Gene therapy or drugs targeted specifically at mutation carriers (do not yet exist).  Market potential is huge.
  • 10. Problem Statement 1. 23andMe has not successfully reached potential customers with their brand.  Have not convinced “main street” users that they need or want this service. 2. Lacks clear focus – advertises as a health diagnostics company, an ancestry company, a research database.  Customers are overwhelmed and confused by the breadth and presentation of information.  Very little a person can do to act on the information provided by genetic testing.
  • 11. Business Strategies 1. Focus on development of an improved user interface personalized to the needs of the consumer:  Allow users to customize information that is most important to them.  Offer customer service to help consumers understand and navigate their information. 2. Focus on a sales and marketing campaign that makes product easily accessible & brand easily recognizable to consumers:  Sell kits that are available in high-trafficked stores and websites.  Advertise – Internet, TV, etc.
  • 12. Business Strategies (cont’d) 3. Limit company focus to one core emphasis – health, ancestry, or research  Improve competency in one key area and go after a niche market.  Once they’ve defined their target market they can better define how to generate revenue. 4. Create partnerships that allow user to do something useful with their genetic information:  Genetic counseling partnerships - resource to digest data and make important lifestyle changes.  Research community and charity partnerships - further research by sharing information or making a donation.
  • 13. Conclusion  23andMe is a promising company that has run into problems achieving its vision.  23andMe has potential to achieve:  A large and profitable customer base.  Industry leadership.  Make a real difference in peoples’ lives.
  • 15. References  Slide 5,6: http://techcrunch.com/2011/01/07/johnson-johnson-leads-9-million- investment-in-personal-genetics-startup-23andme/  Slide 6,7,10: http://www.xconomy.com/san-francisco/2011/05/24/23andme- moves-beyond-simple-consumer-dna-sequencing-sets-sight-on-research/2/  Slide 6,10: http://www.physorg.com/news/2011-06-google-backed-23andme- major-milestone-users.html  Slide 6,7,10: http://www.nytimes.com/2010/03/20/business/20consumergene.html?adxnnl=1& pagewanted=all&adxnnlx=1330304942-mwbYLXt9FVEw3ZGoaNLpqw  Slide 6: http://www.fitsugar.com/Review-23andMes-DNA-Testing-Kit-15179775  Slide 5,6,10: https://www.23andme.com/  Slide 6,10: http://spittoon.23andme.com/2011/10/26/a-prescription-for- personalizing-medicine/  Slide 6,7: http://hmg.oxfordjournals.org/content/17/R2/R180.full  Slide 5,7: http://spittoon.23andme.com/2012/01/08/an-update-to-23andme- customers/
  • 17. Management Team  Anne Wojcicki - Co-founder  Esther Dyson - Director  Serafim Batzoglou - Scientific Advisor  Brian Naughton - Product Manager  Patrick Chung - Board Member
  • 18. Financials  $2.00M in sales according to Hoovers.com
  • 19. Funding  Series A, 5/07, $9M  Genentech, Google, Mohr Davidow Ventures, New Enterprise Associates  Series B, 6/09, $12.6M  Google, Sergey Brin  Series C, 11/10, $22M  Johnson & Johnson Development Corporation, New Enterprise Associates, Google Ventures  Series C, 1/11, $9M  Johnson & Johnson Development Funding Total = $52.6M

Editor's Notes

  1. People of African descent tend to have high levels of genetic diversity because of the population's long history. Genetic studies of disease have focused on people of European descent in part because it has historically been easier to study groups that are genetically similar and in part because much of this research is done in Europe and North America, where this group is the easiest to access. More sophisticated methods for analyzing genetic data that have been developed over the last few years make it possible to study more diverse populations. Geneticists have discovered that this diversity can be helpful in narrowing down the particular genetic mutation linked to a disease. However, such studies require very large groups of people. "That's part of the reason we are aiming for 10,000 individuals just to get it started," says Joanna Mountain, senior director of research at 23andMe. In addition, cheaper DNA chips mean that studies of this size are more affordable.The 23andMe project was inspired in part by the company's work with Henry Louis Gates, director of the W. E. B. Du Bois Institute for African and African American Research at Harvard University. Gates's PBS documentaries use genetics to help people explore their ancestry. "He had been encouraging us to reach out to African Americans," says Mountain. "But I pointed out that the genetic research results to date lack information for African Americans."
  2. single-nucleotide polymorphismConsider noting: Uses gene chips to sample a person’s DNA at a half-million to a million spots among the three billion total possibilities – only samples DNA
  3. Average “main street” user hasn’t even heard of thisInformation overload – Customers can become overwhelmed by all this information, what it means for the lifestyle, and how it is organized for themThere may be some information they don’t want to knowDifferent customers may care about different sections of information than othersMedical company, ancestry company, research company?Trying to be all things to all people?, or simply aiming at people w/ curiosity & spare $?Technology now exists to sequence the entire genome (how much $?), not just SNPsThere are a whole bunch of sites out there that interpret users’ data after they have used 23andme– this speaks to a lack of intuitive and comprehensive data presentation on the part of 23andMe
  4. Ethical and legal questions include:How good is the scientific data behind the tests being offered? What can consumers do with the information?Is it legal for medical information to be provided over the Internet or by mail, without a medical professional involved?Are genetic tests used for paternity or forensic purposes admissible in court?Is genetic information about ancestry misleading? Can it harm an individual’s sense of self?
  5. Partnerships with doctors and healthcare companies could provide customers with “actionable” information.Couple genetic testing with “wellness programs” (fitness, nutrition, etc.) catered to individuals based on genetics, lifestyle and environment – added data point for individuals who want to be in control of their health.“The average lifetime risk of breast cancer is 12 percent,” said Sarah S. Murray, a geneticist at the Scripps Research Institute who took tests from both 23andMe and Navigenics. “My risk is 10 percent. But what does that really mean?”NYC times - Consumers Slow to Embrace the Age of Genomics, By ANDREW POLLACKPublished: March 19, 2010Accuracy in question; Need to develop full genome testing; Gene chip variations can explain only a very small part of the risk of getting most diseases. The predictions are also uncertain. James P. Evans, a genetics professor at the University of North Carolina, sent the same DNA samples to both 23andMe and DeCode. In about one in three cases the results differed, with one company saying the risk of a disease was higher than average and the NYC times - Consumers Slow to Embrace the Age of Genomics, By ANDREW POLLACKPublished: March 19, 2010 other saying it was lower than average.
  6. “Google your genome”Structure it as a search engine & let consumers determine what they want?Or just offer a better search option?Online “chat” options to have a customer service rep help you navigate?Sell on Amazon – make this available and more easily searchableMake full genome screening technology availableUpgrade technology to sequencingMake one section their “focus” and “core competency” – like disease research communitiesPartnerships: counseling, research communities, charities for certain diseases
  7. 23andMe is rapidly (and fairly successfully) rebranding itself as primarily a research company rather than a consumer genetics provider. By leveraging its customer database of both genetic and trait information (obtained from online surveys) the company has demonstrated that it can not only robustly replicate known gene-trait associations, but also discover completely novel associations. 23andMe recently published two completely new variants associated with Parkinson’s disease, following on the heels of its 2010 publication of seven new variants associated with non-disease traits. http://www.wired.com/wiredscience/2011/07/personal-genomics-no-longer-just-for-rich-white-folks/