Business / Revenue Model
Inoof will generate revenue primarily from the following sources: (see Additional Information for actual figures)
1. Hyper-targeted advertisements displayed with the users lists – These are premium advertisements, because they are targeted to a ready-to-buy user and reflect what they want, more accurately than the current web advertisements. These advertisements will also be displayed on additional channels such as IM/SMS/Email.
2. Subscription fees for the Business Intelligence (BI) data – Inoof will enhance and sell the “wanted” data shared by the consumers with Inoof. This is invaluable demand information for retailers that they currently do not possess. Further the Business Intelligence data can be analyzed in many different ways to give retailers (customers of Inoof), critical information to predict demand accurately.
3. Auctioning the Portal Services – Online service providers will bid for servicing the aggregated demand from the users for services such as photo printing, premium content etc. Example: Inoof’s BI partners would be notified that 10000 photo prints are needed in the zip code 01824. The providers will bid for a lease to this service.

Competitive Landscape
Inoof aims to create a new space in which the consumer declares what they want and custom engines deliver the information/services to them, while providing retailers a new sales/marketing channel as well as predictive business intelligence. Because we are defining this space, Inoof has the first mover advantage here. Additionally, with more patents, a critical mass of users, partnerships and service providers Inoof will create significant barriers to entry for other entrants, while being a good acquisition target for large established portals.

The Social Shopping sites listed below are in an area similar to the initial space that we are targeting, however, we are different in the following ways
1. These sites enable the users to manually collect and share data about their shopping interests while browsing the web. Our goal is to automate the process of collecting this data, ‘digest’ it via proprietary models and present customized information to the user.
2. In the shopping space, we will aggregate consumer demand and funnel it to the businesses and enable them to market/sell/advertise to the user directly via the Inoof Portal. We will provide predictive sales intelligence to the businesses.
3. Our vision is to expand this convenience of “here’s what I want, let the market come to me” to other areas of our daily web usage such as data research, personalized pages providing hyper-aggregated content, personal finance and more, possibly even leveraging the semantic-web.

Social shopping sites: kaboodle.com, thisnext.com
Other social shopping sites: RightCart, MyPickList, WhatsBuzzing, ShopWiki, Zlio, Wists, Crowdstorm, Pepperjam, Jellyfish
Comparison shopping sites: MySimon.com, mpire.com, NexTag.com, Froogle.com, Yahoo Shopping, Shopzilla, PriceGrabber.com, PriceRunner.com etc
Data Aggregation and Presentation sites: Zillow.com