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IDecideFast – Bidding Business Model
                             Expanding Bidding                                      Online Automated             Bidding Bulletin
     Traffic drivers:                                           Free model
                                Templates                  Increases comfort in     Service for bidders               Users
1.    Bidding websites
      e.g. Ibid                                            determining bid and
2.    Decision software           Customer                    willingness to             Personal                    Bidders in online
      firms.                     Acquisition                    participate         relationships with                  Auctions:
                                                                                                                1.   Traditional eBay Auction
3.    Realtors                                                                       domain experts             2.   Best Offer eBay
     (domain experts)                                       Separate Premium                                    3.   Three offers – eBay
                                                                                                                4.   Name your own price -
                                                                 Models                                              Priceline
                             Modelers/
                                                                                    Web
                             Algorithms                       Bidders access                                    Bidders in Real Estate:
                                                                                    1.    BiddingPal.Com        1.   Best Offer Real Estate.
                                                              fellow bidders        2.    Intermediaries e.g.   2.   Haggling – Real Estate.
                                  Software                                                AppleStore
                                 Developers                 Eyeball access for                                       Advertising
                                                              Ad companies                                           Companies
                            MKTing/Sales/Admin             And Domain Experts                                    And Domain Experts


                                                                                                     Template fee
        Software Development
                                                  People                   Ads for the free           from more
            Hosting/Infrastructure                                         online auction            sophisticated
                                                                            bidding tool              models e.g.
             Sales/initial customer acquisition                                                       real estate
BiddingPal.com
Customer Relations This Week
1. Customer development interviews
  a. Determine usability of BiddingPal
  b. Get feedback for improvements
2. Domain expert interviews
  a. Gain access to real estate data
  b. Develop partnerships
  c. Assistance in customer acquisition
Demand Creation
•   Realtors
•   Social Media
•   Word of Mouth
•   Blogs
•   SEO
•   Communities for bulletin boards
•   GoogleAds
Demand Creation
• Customer education
  – Through webpage
  – Through promotional videos
Viral Coefficient
• >1 for online auction end-users
  – Based on initial sample
  – Still needs robust verification


• >1 for realtors
• Uncertain for real estate end-users
  – Large variance across small sample size
Next Week
• More interviews with realtors, Association of
  Realtors
• More end-user interviews and beta testing
• Educational material production and posting
Appendix
IDecideFast
                                                                                Value Proposition
90% of decisions we face do not require
mathematical analysis. Just clear thinking.                           Social Networking
Many are faced by a large % of the population.
                                                                      Fast Idea Generation
Categorized Post to the World/Friends
                                                                 Collaborative Decision Making
e.g. My Decision is: which school should I go to?
                                                                   Designed for the lay person not the
Please help me with:
                                                                             decision analyst.
1. Alternatives                                                                     What do I know?


                                                                                      Useful
2. Uncertainties                                        What are my
                                                                                   Information                      What consequences
                                                                                                                    do I care about?
                                                        choices?

3. Trade-offs                                                         Creative
                                                                  Alternatives
                                                                                                              Clear
                                                                                                               Values
                                                                                 Elements of
4. Frame                                                                           A Good
                                                                                  Decision
                                                                                                           Sound
5. Pros/Cons                                        What is it that
                                                    I am deciding?
                                                                      Helpful
                                                                      Frame                               Reasoning
                                                                                                                        Am I thinking
                                                                                                                        straight about this?
                                                                                  Commitment

Categorized Decisions                                                                  to
                                                                                 Follow Through



Relationships, Marriage, Entertainment,                                          Will I really take action?



                                                                          90% Clarity by                                                       5% Clarity by
Dining, Car, Purchase, Vacations,                                            chatting,                                                         simple model
School, Bidding, Retirement                                               brainstorming,
                                                                              venting



                                                     5% Detailed Solutions to Select Decisions (Templates)
                                                     (Based on Customer Feedback)
                             Instant                 Bidding, Which Job, Vacation, Refinancing, Retirement,
                             Messaging/posting       Medical Decision
Exploration of Other Applications
-Health Care
     Jeff Belcoura, PhD, UCSF
     C. Trogden, Allergan
     J. Daniels, MD, North Shore Hospital
     L. Gratkins, MD, Private practice

-Other interviews
     Carle Hospital
1.    Traffic             1. Expanding                1.   Social            1.   Online self-
      generators                                                                  service        1.   Decision bulletin
                          templates/Categories             networking
     (keywords from       2. Customer                                                                 Users
                                                      2. Collaborative
•    Twitter              acquisition beyond                                                     2.   Advertising
                                                         decision making
                          college students                                                            companies
•    Ask.Com                                          3. Rapid feedback
                          3. Build/operate/                                                      3.   Template Users
•    Facebook                   maintain              4. Detailed
     Updates)                                         solutions for
                                                         select problems
2.                                                      (templates)
Professional/Student                                                          1. Internet
                           1.    Modelers
associations/LinkedIn
                           2.    Software vendor
                           3.    MKTing/Sales/
3. Template Domain
                                Operation/admin
Experts
                                personnel



1.    Software development
2.    People                                                     1.   Advertisement
3.    Incentives (for initial customer acquisition)              2.   Coupons
4.    Hosting/infrastructure
5.    Gathering data for templates                               3.   Template fees
6.    Survey/questionnaire costs for templates

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I decide fast lecture 6 revenue model

  • 1. IDecideFast – Bidding Business Model Expanding Bidding Online Automated Bidding Bulletin Traffic drivers: Free model Templates Increases comfort in Service for bidders Users 1. Bidding websites e.g. Ibid determining bid and 2. Decision software Customer willingness to Personal Bidders in online firms. Acquisition participate relationships with Auctions: 1. Traditional eBay Auction 3. Realtors domain experts 2. Best Offer eBay (domain experts) Separate Premium 3. Three offers – eBay 4. Name your own price - Models Priceline Modelers/ Web Algorithms Bidders access Bidders in Real Estate: 1. BiddingPal.Com 1. Best Offer Real Estate. fellow bidders 2. Intermediaries e.g. 2. Haggling – Real Estate. Software AppleStore Developers Eyeball access for Advertising Ad companies Companies MKTing/Sales/Admin And Domain Experts And Domain Experts Template fee Software Development People Ads for the free from more Hosting/Infrastructure online auction sophisticated bidding tool models e.g. Sales/initial customer acquisition real estate
  • 3. Customer Relations This Week 1. Customer development interviews a. Determine usability of BiddingPal b. Get feedback for improvements 2. Domain expert interviews a. Gain access to real estate data b. Develop partnerships c. Assistance in customer acquisition
  • 4. Demand Creation • Realtors • Social Media • Word of Mouth • Blogs • SEO • Communities for bulletin boards • GoogleAds
  • 5. Demand Creation • Customer education – Through webpage – Through promotional videos
  • 6. Viral Coefficient • >1 for online auction end-users – Based on initial sample – Still needs robust verification • >1 for realtors • Uncertain for real estate end-users – Large variance across small sample size
  • 7. Next Week • More interviews with realtors, Association of Realtors • More end-user interviews and beta testing • Educational material production and posting
  • 9.
  • 10.
  • 11.
  • 12.
  • 13. IDecideFast Value Proposition 90% of decisions we face do not require mathematical analysis. Just clear thinking. Social Networking Many are faced by a large % of the population. Fast Idea Generation Categorized Post to the World/Friends Collaborative Decision Making e.g. My Decision is: which school should I go to? Designed for the lay person not the Please help me with: decision analyst. 1. Alternatives What do I know? Useful 2. Uncertainties What are my Information What consequences do I care about? choices? 3. Trade-offs Creative Alternatives Clear Values Elements of 4. Frame A Good Decision Sound 5. Pros/Cons What is it that I am deciding? Helpful Frame Reasoning Am I thinking straight about this? Commitment Categorized Decisions to Follow Through Relationships, Marriage, Entertainment, Will I really take action? 90% Clarity by 5% Clarity by Dining, Car, Purchase, Vacations, chatting, simple model School, Bidding, Retirement brainstorming, venting 5% Detailed Solutions to Select Decisions (Templates) (Based on Customer Feedback) Instant Bidding, Which Job, Vacation, Refinancing, Retirement, Messaging/posting Medical Decision
  • 14. Exploration of Other Applications -Health Care Jeff Belcoura, PhD, UCSF C. Trogden, Allergan J. Daniels, MD, North Shore Hospital L. Gratkins, MD, Private practice -Other interviews Carle Hospital
  • 15. 1. Traffic 1. Expanding 1. Social 1. Online self- generators service 1. Decision bulletin templates/Categories networking (keywords from 2. Customer Users 2. Collaborative • Twitter acquisition beyond 2. Advertising decision making college students companies • Ask.Com 3. Rapid feedback 3. Build/operate/ 3. Template Users • Facebook maintain 4. Detailed Updates) solutions for select problems 2. (templates) Professional/Student 1. Internet 1. Modelers associations/LinkedIn 2. Software vendor 3. MKTing/Sales/ 3. Template Domain Operation/admin Experts personnel 1. Software development 2. People 1. Advertisement 3. Incentives (for initial customer acquisition) 2. Coupons 4. Hosting/infrastructure 5. Gathering data for templates 3. Template fees 6. Survey/questionnaire costs for templates

Editor's Notes

  1. Insight: domain experts (realtors) are a great source for partnerships and customer acquisition. Because we offer value to each other, they have been added in the value proposition, customer segments, and customer relationships. They help us with customer acquisition and domain knowledge to build specialized templates.