i decide fast lecture 4 channels
TRANSCRIPT
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Zillow.com
Expanding Bidding Templates
Customer Acquisition
Modelers/Algorithms
Software Developers
Free Model
Access to bidders
Online Automated Service for bidders
Internet
Traffic drivers such as bidding websites e.g. Priceline.com
Ads/CouponsPeople
Sales/initial customer acquisition
Hosting/Infrastructure
Software Development
MKTing/Sales/Admin
IDecideFast – Bidding Business Model
Bidders in online Auctions:
1. Traditional eBay Auction2. Best Offer eBay3. Three offers – eBay4. Name your own price -
Priceline
Bidding Bulletin Users
Bidders in Real Estate:1. Best Offer Real Estate.2. Haggling – Real Estate.
Advertising Companies
Bidders access fellow bidders
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1. Decision bulletin Users
2. Advertising companies
3. Template Users
1. Social networking
2. Collaborative decision making
3. Rapid feedback4. Detailed solutions for
select problems(templates)
1. Software development2. People3. Incentives (for initial customer acquisition)4. Hosting/infrastructure5. Gathering data for templates6. Survey/questionnaire costs for templates
1. Advertisement2. Coupons
3. Template fees
1. Internet1. Modelers2. Software vendor3. MKTing/Sales/
Operation/adminpersonnel
1. Expandingtemplates/Categories2. Customer acquisition beyond college students3. Build/operate/
maintain
1. Online self-service
1. Traffic generators
(keywords from • Twitter• Ask.Com• Facebook
Updates)
2. Professional/Student associations/LinkedIn
3. Template Domain Experts
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Here is what we thought
Generic decisions: Collaborative Decision Making
(Revenue Streams: Ads/Coupons)
+Specified Templates
(Revenue Streams: Fee for template use)
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Here is what we did
We GOT OUT OF THE BUILDING again.
Main Hypotheses we wanted to test
• Would people be willing to blog about their decisions?
• Would they be willing to pay for specified solutions?
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Here is what we learned:
Specified Templates
(Revenue Model: Free template use)
Customer Acquisition for ads
Pivot
Main changes in Business Model From Fee to Free Templates
http://nqued.com:8888/
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Login Page
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Next Steps
Gather more data specific to online and real estate bidders
Contact potential partners
Contact potential advertisers
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Appendix
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128 Million Users
28 Billion Dollars in Ad Revenue