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CASE STUDY ON PROBLEM
STATEMENT
Anubhav Sinha
05/08/2015
Assumptions
• Issue to solve – Distributed Data on Startups
• Market Considered – India, USA, Japan, China, UAE
• How to meet solution – Structured, Collected and
Contributed Data
USP
A platform for structured and categorized data of Startups
Target Segment
• Age Group – 18 to 65
• Industries – IT (B2B, B2C & B2B2C), Manufacturing
• Segmented users – Investors, Corporates, Startups, M&A
• Business/Industry Segment
• Category and Location
• Login, Registration and Social Media Login (FB, TW, G+,
LinkedIn, Yahoo)
• Search, Advanced Search, Captcha Code
• Ads, Banners, Display Ads, News Letters, Email Marketing
• Localization (Japanese, Chinese, Arabic)
• View, Edit, Feedback, Survey, Followers and Follow links
• Reporting & Analytics – Category, Location, Clicks, Logs
• Social Media Groups – Keywords, Behavior, Likes
• Corporate & Premium accounts will get Startup data,
Financials, M&A
• API Integration for FB and LinkedIn publish
Features
Road Map
R1 R2
R3 R4 R5
EU & BAU
Architecture
Framework
Adv Search
Reg, Login, SM
Business Logic
Localization 1
Country List
Category List
Premium A/C
Localization 3
API Integration
FB, TW, L
PPC, PPF
User Logs
Premium Mem
Search
Social Med Intg
Edit, Update
Survey, Feedback
Localization 2
Ads, Banners
Newsletters
Display Ads
Lead Generatn
EU – End User
BAU – Business Application User
Initial
Analytics
Premium
Analytics
Keywords
Sponsored Key
User
Registration
Data for
Analytics
Monetization
Features
Monetization
Features
Business Monetization
• Co-registration Strategy – Email Monetization, Newsletter,
Data Sell, Sponsored News Letters, Lead Generation
• % on Affiliate Linking
• Monetization with Display Ads, Sponsored Ads in the
dimension (300X250, 300X100, 728X90)
• Premium Membership (Corporate and Normal Users)
• Pay for followers and followed links, Keyword Purchases
• Analysis on User Logs (events, activities, searches, follow)
• Number of user Tractions (Direct, FB, LinkedIn, G+, TW)
• Data Analytics on M&A, Unique and Total Visitors

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Case_Study_Sample

  • 1. CASE STUDY ON PROBLEM STATEMENT Anubhav Sinha 05/08/2015
  • 2. Assumptions • Issue to solve – Distributed Data on Startups • Market Considered – India, USA, Japan, China, UAE • How to meet solution – Structured, Collected and Contributed Data USP A platform for structured and categorized data of Startups Target Segment • Age Group – 18 to 65 • Industries – IT (B2B, B2C & B2B2C), Manufacturing • Segmented users – Investors, Corporates, Startups, M&A
  • 3. • Business/Industry Segment • Category and Location • Login, Registration and Social Media Login (FB, TW, G+, LinkedIn, Yahoo) • Search, Advanced Search, Captcha Code • Ads, Banners, Display Ads, News Letters, Email Marketing • Localization (Japanese, Chinese, Arabic) • View, Edit, Feedback, Survey, Followers and Follow links • Reporting & Analytics – Category, Location, Clicks, Logs • Social Media Groups – Keywords, Behavior, Likes • Corporate & Premium accounts will get Startup data, Financials, M&A • API Integration for FB and LinkedIn publish Features
  • 4. Road Map R1 R2 R3 R4 R5 EU & BAU Architecture Framework Adv Search Reg, Login, SM Business Logic Localization 1 Country List Category List Premium A/C Localization 3 API Integration FB, TW, L PPC, PPF User Logs Premium Mem Search Social Med Intg Edit, Update Survey, Feedback Localization 2 Ads, Banners Newsletters Display Ads Lead Generatn EU – End User BAU – Business Application User Initial Analytics Premium Analytics Keywords Sponsored Key User Registration Data for Analytics Monetization Features Monetization Features
  • 5. Business Monetization • Co-registration Strategy – Email Monetization, Newsletter, Data Sell, Sponsored News Letters, Lead Generation • % on Affiliate Linking • Monetization with Display Ads, Sponsored Ads in the dimension (300X250, 300X100, 728X90) • Premium Membership (Corporate and Normal Users) • Pay for followers and followed links, Keyword Purchases • Analysis on User Logs (events, activities, searches, follow) • Number of user Tractions (Direct, FB, LinkedIn, G+, TW) • Data Analytics on M&A, Unique and Total Visitors

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  3. Give a brief overview of the presentation. Describe the major focus of the presentation and why it is important. Introduce each of the major topics. To provide a road map for the audience, you can repeat this Overview slide throughout the presentation, highlighting the particular topic you will discuss next.