1. IDecideFast – Bidding Business Model
Expanding Bidding Free Model Online Automated Bidding Bulletin
Templates Service for bidders Users
Bidders access
Traffic drivers such
Customer fellow bidders
as bidding websites Bidders in online
Acquisition Auctions:
e.g. Priceline.com Access to bidders 1. Traditional eBay Auction
2. Best Offer eBay
3. Three offers – eBay
4. Name your own price -
Priceline
Modelers/
Algorithms Bidders in Real Estate:
Zillow.com Internet 1. Best Offer Real Estate.
Software 2. Haggling – Real Estate.
Developers
Advertising
MKTing/Sales/Admin Companies
Software Development
People Ads/Coupons
Hosting/Infrastructure
Sales/initial customer acquisition

2. 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

3. Here is what we thought
Generic decisions: Collaborative Decision Making
(Revenue Streams: Ads/Coupons)
+
Specified Templates
(Revenue Streams: Fee for template use)

4. 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?

5. Pivot
Here is what we learned:
Specified Templates
(Revenue Model: Free template use)
Customer Acquisition for ads
Main changes in Business Model
From Fee to Free Templates
http://nqued.com:8888/

6. Login Page

10. Next Steps
Gather more data specific to online and real
estate bidders
Contact potential partners
Contact potential advertisers

11. Appendix

12. Google
128 Million Users
28 Billion Dollars in Ad Revenue