Product Screenshots
Wednesday, November 21, 2007
Expected Revenues
We expect Inoof revenues to be about 2.5 MM/month (0.25% of online advertisement spending) in 2 years after launch, as follows:
1. Advertisement revenues: With an average of 5 page views/user/day across the various channels (email/web/IM/SMS), 5 advertisement links/page, assuming 1 in 10 targeted advertisements will be clicked, and a reasonably premium rate on the hyper-targeted advertisements for the users’ lists, both for click-throughs (2 cents CPC or CPA) and impressions ($2 CPM), we expect revenues of $1.25 MM/month ($0.7/user/month).
2. Business Intelligence subscription revenue: this is expected to be another major source of revenues. We estimate this at about 0.6 MM/month. This will increase once Inoof achieves a critical mass of users that represents a significant purchasing power.
3. Sales referral commissions (across multiple channels): Based on 2 purchases / user / month via Inoof and an average referral fee of 25 cents, we expect revenues of about $0.4MM/month.
4. Service Auction and Technology license fees from the Inoof platform – This includes technology that enables businesses to sell via the multiple Inoof channels, to access the Business Intelligence data, to integrate their services into Inoof etc. About 0.25MM/month.
We expect Inoof revenues to be about 2.5 MM/month (0.25% of online advertisement spending) in 2 years after launch, as follows:
1. Advertisement revenues: With an average of 5 page views/user/day across the various channels (email/web/IM/SMS), 5 advertisement links/page, assuming 1 in 10 targeted advertisements will be clicked, and a reasonably premium rate on the hyper-targeted advertisements for the users’ lists, both for click-throughs (2 cents CPC or CPA) and impressions ($2 CPM), we expect revenues of $1.25 MM/month ($0.7/user/month).
2. Business Intelligence subscription revenue: this is expected to be another major source of revenues. We estimate this at about 0.6 MM/month. This will increase once Inoof achieves a critical mass of users that represents a significant purchasing power.
3. Sales referral commissions (across multiple channels): Based on 2 purchases / user / month via Inoof and an average referral fee of 25 cents, we expect revenues of about $0.4MM/month.
4. Service Auction and Technology license fees from the Inoof platform – This includes technology that enables businesses to sell via the multiple Inoof channels, to access the Business Intelligence data, to integrate their services into Inoof etc. About 0.25MM/month.
ADDITIONAL INFORMATION
Market Size[1]
· In 2007, 131MM people will shop online; 90MM originate their purchase process by visiting an aggregator site, 60MM use comparison shopping sites.
· 100MM read reviews, 70MM use online coupons. 100MM search product information online, 120MM do research online.
· Over 65MM spend 10-30 hours per week online. 18% of the time is spent in online commerce, 46% in consuming content.
· Online advertisement spending was $20bn in 2006 (expected $81bn by 2011).
Additionally, 65% cited convenience as the primary reason for online shopping, and 53% cited time-savings. Customer acquisition costs are about $10-20/user, and online advertisers will spend an average of $88/user in 2007.
Users
Individual Users: We expect the time-saving, convenience and lower-costs benefits of the site to attract online users in the age group 15-50. We will initially target online electronics shoppers, especially busy professionals and mobile device users. Some users could simply benefit from the sophisticated list making capabilities of the Portal too.
Expected User Growth
We expect a viral, marketing and web-advertising driven user growth rate of about 30% initially, leading to about 1.8 MM users in 24 months after launch (1.5% of the market). Because people are very comfortable with online shopping (131MM) and comparison sites (60MM), and keeping in mind the explosive growth rates of recent sites such as flickr.com, del.icio.us etc, our growth rates seem reasonable. Comparable numbers are PriceGrabber (21MM), PepperJam.com (6.5MM) and Amazon’s “WishLists” (3.5MM).
Business Customers
Online retailers and Service Providers: Businesses that sell goods or services online to the Inoof user demographic will use the Inoof channel to advertise more effectively, provide services and sell to the “ready to buy” Inoof users. These companies will also be customers of Inoof Business Intelligence (BI) data. With a critical mass of users, Inoof will be able to provide predictive demand information to the retailers.
Business Partnerships
Inoof will partner with some of the existing providers of data about consumer goods such as mysimon.com, epinions.com, fatwallet.com, cnet.com, restaurants.com, Edmunds.com etc, in addition to websites that provide localized information. Partners that provide online services include news aggregators, deep search services etc. Inoof will benefit by leveraging the information base of these partners in exchange for advertisement revenue and user traffic. Inoof will also provide co-branded capabilities for some non competing sites. Example, we can provide the Portal features to premium content provider sites.
Affiliate Partnerships
Inoof will be affiliate partners with the online retailers and also with intermediaries that broker advertisements.
Technology Partnerships
Inoof will partner with companies that provide the technology for building and extending the Inoof Platform. This includes mobile service providers, Business Intelligence technology vendors, application integrators etc.
[1] Gomez.com research (http://www.gomez.com/); Online Publishers Association (http://www.online-publishers.org/); Shop.org statistics; IT Facts (http://www.itfacts.biz/); Online publishers Association (http://www.online-publishers.org/); Neilsen Media Research
Market Size[1]
· In 2007, 131MM people will shop online; 90MM originate their purchase process by visiting an aggregator site, 60MM use comparison shopping sites.
· 100MM read reviews, 70MM use online coupons. 100MM search product information online, 120MM do research online.
· Over 65MM spend 10-30 hours per week online. 18% of the time is spent in online commerce, 46% in consuming content.
· Online advertisement spending was $20bn in 2006 (expected $81bn by 2011).
Additionally, 65% cited convenience as the primary reason for online shopping, and 53% cited time-savings. Customer acquisition costs are about $10-20/user, and online advertisers will spend an average of $88/user in 2007.
Users
Individual Users: We expect the time-saving, convenience and lower-costs benefits of the site to attract online users in the age group 15-50. We will initially target online electronics shoppers, especially busy professionals and mobile device users. Some users could simply benefit from the sophisticated list making capabilities of the Portal too.
Expected User Growth
We expect a viral, marketing and web-advertising driven user growth rate of about 30% initially, leading to about 1.8 MM users in 24 months after launch (1.5% of the market). Because people are very comfortable with online shopping (131MM) and comparison sites (60MM), and keeping in mind the explosive growth rates of recent sites such as flickr.com, del.icio.us etc, our growth rates seem reasonable. Comparable numbers are PriceGrabber (21MM), PepperJam.com (6.5MM) and Amazon’s “WishLists” (3.5MM).
Business Customers
Online retailers and Service Providers: Businesses that sell goods or services online to the Inoof user demographic will use the Inoof channel to advertise more effectively, provide services and sell to the “ready to buy” Inoof users. These companies will also be customers of Inoof Business Intelligence (BI) data. With a critical mass of users, Inoof will be able to provide predictive demand information to the retailers.
Business Partnerships
Inoof will partner with some of the existing providers of data about consumer goods such as mysimon.com, epinions.com, fatwallet.com, cnet.com, restaurants.com, Edmunds.com etc, in addition to websites that provide localized information. Partners that provide online services include news aggregators, deep search services etc. Inoof will benefit by leveraging the information base of these partners in exchange for advertisement revenue and user traffic. Inoof will also provide co-branded capabilities for some non competing sites. Example, we can provide the Portal features to premium content provider sites.
Affiliate Partnerships
Inoof will be affiliate partners with the online retailers and also with intermediaries that broker advertisements.
Technology Partnerships
Inoof will partner with companies that provide the technology for building and extending the Inoof Platform. This includes mobile service providers, Business Intelligence technology vendors, application integrators etc.
[1] Gomez.com research (http://www.gomez.com/); Online Publishers Association (http://www.online-publishers.org/); Shop.org statistics; IT Facts (http://www.itfacts.biz/); Online publishers Association (http://www.online-publishers.org/); Neilsen Media Research
Growth And Exit Strategy
Inoof will be good fit in the Portal strategy of companies such as Yahoo, Microsoft, Google and Interactive Corp. Yahoo, for example, would benefit from adding such a service to its portfolio of consumer oriented offerings across its multiple channels (Yahoo.com, Mail and Messenger). Inoof’s IP would be an asset to Yahoo. Inoof would benefit from Yahoo’s massive web-savvy user base, its network of data providers and partners, development resources, Yahoo’s content and Advertisement program. Our long-term vision, which is the user declaring what they want and intelligent web-bots delivering it to them, aligns more with the kind of work at Google.
Sources and Uses of Funds
Inoof plans to raise funds in two stages. The first stage will be used to prove the business plan. The management team expects to raise $1.1 MM in the first stage to get to version 1.0, in 12 months, with 5 partners and 3 retail / business customers. The use of funds during this stage will mainly comprise the following:
Development team salaries (4 developers/2 testers/1 manager): $720K
Business Development (2 people): $250K
Office space and related: 75K
Legal/Administrative/misc: $30K
Hardware/software/hosting: $25K
Inoof expects to raise its first round nine months after angel funding. The initial requirements are scoped at $2.1 MM to get to version 2.0 in twelve months. Some of the milestones will include getting 7 additional partners and 3 major customers. Funds will primarily be used to hire a full time team, and advertise, as below:
Onsite Development/QA team (6 developers/2 testers/1 manager) $900K
Offshore Development team (4 developers+1 tester+1 lead): 150K
CTO and VP of Engineering (2 people): $300K
Head of Business Development and Sales & Marketing (3 people): $400K
Advertising using Google/Yahoo, reviews by Tech/Review websites such as TechCrunch, Digg.com and viral marketing / promotions / giveaways: 150K
Patents/HR/Administrative/Legal: $50K.
Office space etc: 75K; Hardware/software/hosting: $50K
Management Team
(deleted)
Board of Advisors
(deleted)
Inoof will be good fit in the Portal strategy of companies such as Yahoo, Microsoft, Google and Interactive Corp. Yahoo, for example, would benefit from adding such a service to its portfolio of consumer oriented offerings across its multiple channels (Yahoo.com, Mail and Messenger). Inoof’s IP would be an asset to Yahoo. Inoof would benefit from Yahoo’s massive web-savvy user base, its network of data providers and partners, development resources, Yahoo’s content and Advertisement program. Our long-term vision, which is the user declaring what they want and intelligent web-bots delivering it to them, aligns more with the kind of work at Google.
Sources and Uses of Funds
Inoof plans to raise funds in two stages. The first stage will be used to prove the business plan. The management team expects to raise $1.1 MM in the first stage to get to version 1.0, in 12 months, with 5 partners and 3 retail / business customers. The use of funds during this stage will mainly comprise the following:
Development team salaries (4 developers/2 testers/1 manager): $720K
Business Development (2 people): $250K
Office space and related: 75K
Legal/Administrative/misc: $30K
Hardware/software/hosting: $25K
Inoof expects to raise its first round nine months after angel funding. The initial requirements are scoped at $2.1 MM to get to version 2.0 in twelve months. Some of the milestones will include getting 7 additional partners and 3 major customers. Funds will primarily be used to hire a full time team, and advertise, as below:
Onsite Development/QA team (6 developers/2 testers/1 manager) $900K
Offshore Development team (4 developers+1 tester+1 lead): 150K
CTO and VP of Engineering (2 people): $300K
Head of Business Development and Sales & Marketing (3 people): $400K
Advertising using Google/Yahoo, reviews by Tech/Review websites such as TechCrunch, Digg.com and viral marketing / promotions / giveaways: 150K
Patents/HR/Administrative/Legal: $50K.
Office space etc: 75K; Hardware/software/hosting: $50K
Management Team
(deleted)
Board of Advisors
(deleted)
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
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
Product
Inoof comprises three main parts:
1. User Portal (product screenshots on page 9)
2. Matching/Aggregation/Delivery Engines
3. Inoof Platform
1. The User Portal: http://www.inoof.com This Web 2.0 Portal presents hyper aggregated information to the user, in a simple convenient format. It contains shareable lists such as shopping, to-do, contacts, calendar, etc, by which the users declare what they want. Each list is backed by custom engines that deliver highly targeted advertisements and services for items in the lists. Eventually, these lists will morph into highly customizable pages that display relevant information such as deals, reviews, news, special offers, asynchronous research and more. The users can access this information via multiple channels such as the web, email, Instant Messaging (IM) and text messaging (SMS). The user controls what data is shared, and with whom.
2. Matching/Aggregation/Delivery Engines: These engines match the items in the users’ lists with information aggregated from a wide variety of online sources, including value added services and promotions provided by Inoof’s business partners, and user generated content etc. These engines will also deliver targeted advertisements related to the products or services in the users’ lists. For example, the users shopping list can be enriched with information aggregated by the “deal” recommendation engines, coupons, review consolidation engines etc. Special incentives from retailers or service providers will be presented to the user, thereby reducing the net cost to the user. Similarly, the calendar list can display information from local events and restaurants and more. The engines will crawl thousands of sites in each category, collate the data, parse and interpret it, apply custom algorithms to convert this data into information and thereby come up with “digests” that will be presented to the user, along with tailored recommendations.
There is a significant amount of proprietary development involved in creating these engines, and this will constitute the IP at Inoof.
Inoof will also provide some special engines that enable the users to offload time consuming web oriented tasks to the Portal. Example: a student wanting to research a specific topic could add it to their “research list” on the Portal. This list would be served by an asynchronous meta/deep search engine that would present a unified context-sensitive report to the user, with text/images/video and more.
3. The Inoof Platform: Inoof will also provide the technology platform for the retailers to access the Inoof Business Intelligence (BI) information and for them to provide retail services that will be integrated with the Portal. The BI information and all processes related to these will be part of the Inoof IP too. The platform includes tools, browser plug-ins and widgets etc that will enrich the user experience on Inoof’s partner sites too.
Inoof comprises three main parts:
1. User Portal (product screenshots on page 9)
2. Matching/Aggregation/Delivery Engines
3. Inoof Platform
1. The User Portal: http://www.inoof.com This Web 2.0 Portal presents hyper aggregated information to the user, in a simple convenient format. It contains shareable lists such as shopping, to-do, contacts, calendar, etc, by which the users declare what they want. Each list is backed by custom engines that deliver highly targeted advertisements and services for items in the lists. Eventually, these lists will morph into highly customizable pages that display relevant information such as deals, reviews, news, special offers, asynchronous research and more. The users can access this information via multiple channels such as the web, email, Instant Messaging (IM) and text messaging (SMS). The user controls what data is shared, and with whom.
2. Matching/Aggregation/Delivery Engines: These engines match the items in the users’ lists with information aggregated from a wide variety of online sources, including value added services and promotions provided by Inoof’s business partners, and user generated content etc. These engines will also deliver targeted advertisements related to the products or services in the users’ lists. For example, the users shopping list can be enriched with information aggregated by the “deal” recommendation engines, coupons, review consolidation engines etc. Special incentives from retailers or service providers will be presented to the user, thereby reducing the net cost to the user. Similarly, the calendar list can display information from local events and restaurants and more. The engines will crawl thousands of sites in each category, collate the data, parse and interpret it, apply custom algorithms to convert this data into information and thereby come up with “digests” that will be presented to the user, along with tailored recommendations.
There is a significant amount of proprietary development involved in creating these engines, and this will constitute the IP at Inoof.
Inoof will also provide some special engines that enable the users to offload time consuming web oriented tasks to the Portal. Example: a student wanting to research a specific topic could add it to their “research list” on the Portal. This list would be served by an asynchronous meta/deep search engine that would present a unified context-sensitive report to the user, with text/images/video and more.
3. The Inoof Platform: Inoof will also provide the technology platform for the retailers to access the Inoof Business Intelligence (BI) information and for them to provide retail services that will be integrated with the Portal. The BI information and all processes related to these will be part of the Inoof IP too. The platform includes tools, browser plug-ins and widgets etc that will enrich the user experience on Inoof’s partner sites too.
Business Opportunity
Convenience and time-saving are two key factors that encourage online shopping. However, consumers now spend, on average, 10-20 hours/week online[1] to get to what they want, in various activities such as comparison shopping, researching, and using online services. This laborious shopping pattern puts a burden on the consumers’ time and leads to higher advertising and customer acquisition costs for the businesses. There is a significant opportunity in, instead, letting the consumers declare what they want, and bringing the market and information to them.
For consumers, Inoof is an online service that enables them to declare what they want and delivers the information/service requested in a simple convenient format within a specified period of time. It aggregates the relevant/desired information from multiple online sources, thus saving time for the consumers. Inoof connects the consumers with the appropriate providers for online services such as shopping, research and premium content and funnels incentives from the providers to the consumer. These services and information are presented to the consumer via a rich, customizable website. Users benefit from this time-saving “here’s what I want, you come to me” approach, lower prices and additional incentives. Our mission is to make Inoof.com the go-to site for online shopping and related activities.
For businesses, Inoof is a new channel that offers an opportunity for targeted sales and advertising enabling businesses to offer custom products and services for their users. Inoof provides valuable Business Intelligence to retailers, based on the aggregate “wanted” data shared by the consumers, and enables them to sell to the consumers via the Inoof portal. Businesses get access to a huge base of “ready-to-buy” consumers, thereby reducing their customer acquisition costs. Inoof significantly increases their ROI by more effective targeting, and provides a completely new source of predictive sales intelligence.
Our market is the 60-90MM online users who use comparison shopping and aggregator sites. The addressable size of the market exceeds $20bn in advertisement spending. An initial investment of $1MM will allow us to build our team, product and some partnerships in 12 months. A subsequent investment of $2MM will enable us to establish our brand, enhance the product, get customers and achieve profitability.
Example: Say you want to buy a digital camera by Christmas. You conveniently add it to the shopping list on the Inoof Portal via your mobile device, email, instant message (IM), text messaging (SMS), or while browsing a retailer’s website. Our short-term vision, when you view your shopping list, is to display useful and targeted information about the product you want to buy, such as deals/coupons, special offers from retailers that could reduce your purchase price, integrated options to purchase it from within the portal, review digests/summaries, recommendations and more. Meanwhile, retailers that have subscribed to the Inoof Business Intelligence data will get valuable information such as “200 users in zip code 01824 want to buy a digital camera by Christmas” and much more.
Used car example: Say you want to buy a used car. You specify the criteria that are important to you on a car list/page – a mileage range, a price range, few models, and some premium features. The car shopping engine will search through hundreds of cars from sites such as Edmunds.com and kellybluebook.com etc, in addition to reviews, dealer incentives and more. The engine will process this data using proprietary algorithms, and recommend the top 5 cars that you may want to look at.
[1] Gomez.com research (http://www.gomez.com/); Online Publishers Association (http://www.online-publishers.org/); Shop.org statistics; IT Facts (http://www.itfacts.biz/)
Convenience and time-saving are two key factors that encourage online shopping. However, consumers now spend, on average, 10-20 hours/week online[1] to get to what they want, in various activities such as comparison shopping, researching, and using online services. This laborious shopping pattern puts a burden on the consumers’ time and leads to higher advertising and customer acquisition costs for the businesses. There is a significant opportunity in, instead, letting the consumers declare what they want, and bringing the market and information to them.
For consumers, Inoof is an online service that enables them to declare what they want and delivers the information/service requested in a simple convenient format within a specified period of time. It aggregates the relevant/desired information from multiple online sources, thus saving time for the consumers. Inoof connects the consumers with the appropriate providers for online services such as shopping, research and premium content and funnels incentives from the providers to the consumer. These services and information are presented to the consumer via a rich, customizable website. Users benefit from this time-saving “here’s what I want, you come to me” approach, lower prices and additional incentives. Our mission is to make Inoof.com the go-to site for online shopping and related activities.
For businesses, Inoof is a new channel that offers an opportunity for targeted sales and advertising enabling businesses to offer custom products and services for their users. Inoof provides valuable Business Intelligence to retailers, based on the aggregate “wanted” data shared by the consumers, and enables them to sell to the consumers via the Inoof portal. Businesses get access to a huge base of “ready-to-buy” consumers, thereby reducing their customer acquisition costs. Inoof significantly increases their ROI by more effective targeting, and provides a completely new source of predictive sales intelligence.
Our market is the 60-90MM online users who use comparison shopping and aggregator sites. The addressable size of the market exceeds $20bn in advertisement spending. An initial investment of $1MM will allow us to build our team, product and some partnerships in 12 months. A subsequent investment of $2MM will enable us to establish our brand, enhance the product, get customers and achieve profitability.
Example: Say you want to buy a digital camera by Christmas. You conveniently add it to the shopping list on the Inoof Portal via your mobile device, email, instant message (IM), text messaging (SMS), or while browsing a retailer’s website. Our short-term vision, when you view your shopping list, is to display useful and targeted information about the product you want to buy, such as deals/coupons, special offers from retailers that could reduce your purchase price, integrated options to purchase it from within the portal, review digests/summaries, recommendations and more. Meanwhile, retailers that have subscribed to the Inoof Business Intelligence data will get valuable information such as “200 users in zip code 01824 want to buy a digital camera by Christmas” and much more.
Used car example: Say you want to buy a used car. You specify the criteria that are important to you on a car list/page – a mileage range, a price range, few models, and some premium features. The car shopping engine will search through hundreds of cars from sites such as Edmunds.com and kellybluebook.com etc, in addition to reviews, dealer incentives and more. The engine will process this data using proprietary algorithms, and recommend the top 5 cars that you may want to look at.
[1] Gomez.com research (http://www.gomez.com/); Online Publishers Association (http://www.online-publishers.org/); Shop.org statistics; IT Facts (http://www.itfacts.biz/)
Inoof.com - Business Plan
Anurag Wakhlu
Founder
Executive Summary…..………………..2
Example …..………………..2
Product …..………………..3
Business / Revenue Model …..………………..4
Competitive Landscape …..………………..4
Growth And Exit Strategy …..………………..5
Sources and Uses of Funds …..………………..5
Management Team …..………………..5
Timeline …..………………..7
Business Model …..………………..7
Market Size …..………………..8
Users …..………………..8
Expected Revenues …..………………..9
Status …..………………..9
Beta Product Screenshots …..………………..10
Anurag Wakhlu
Founder
Executive Summary…..………………..2
Example …..………………..2
Product …..………………..3
Business / Revenue Model …..………………..4
Competitive Landscape …..………………..4
Growth And Exit Strategy …..………………..5
Sources and Uses of Funds …..………………..5
Management Team …..………………..5
Timeline …..………………..7
Business Model …..………………..7
Market Size …..………………..8
Users …..………………..8
Expected Revenues …..………………..9
Status …..………………..9
Beta Product Screenshots …..………………..10
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