Your SlideShare is downloading. ×
  • Like
Me plug v0.9
Upcoming SlideShare
Loading in...5

Thanks for flagging this SlideShare!

Oops! An error has occurred.


Now you can save presentations on your phone or tablet

Available for both IPhone and Android

Text the download link to your phone

Standard text messaging rates apply


Published in Technology , Business
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads


Total Views
On SlideShare
From Embeds
Number of Embeds



Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

    No notes for slide


  • 1. MePlug
    • A search engine for your friends recommendations
  • 2. Overview
    • MePlug was founded by two friends who met whilst consulting for a client on a successful project over the last 9 months
    • MePlug is a online service that allows you to share recommendations and to find relevant recommendations from your friends
    • Our vision: to become the most popular way for friends to share recommendations online
  • 3. The problem
    • We wanted to find a reliable, trustworthy tradesman…
    • What we needed was a reliable, trustworthy recommendation - a search engine and repository for everything your friends like, rate, and recommend
    • There is a vast choice of online recommendation sites for consumers, but none:
      • Consider how much you value each friend
      • Provide a simple way to get recommendations based on those relationships
    • Solution: MePlug
  • 4. MePlug is…
    • A search engine and repository for everything your friends like, rate, and recommend
    • Allows user input to create more valuable and accurate recommendations
    • Learns about its user base to suggest recommendations
  • 5. How it works
    • User tells us their top friends and how highly they rate those friends across various predefined categories
    • The user and her friends recommend products and services on their phone or web applications
    • Recommendations from friends have a greater bearing on results depending on ranking and input frequency
    • Users with a public profile making highly ranked relevant recommendations are considered experts
    • Search for that advice - receive credible recommendations!
  • 6. How it evolved
    • Bluetooth technology used to share recommendations allowing users to access this information via a search engine
    • The idea was presented to friends who loved it but location enabled mobile phones and bluetooth technology has significantly increased the potential of the idea
    • Come 2011 – the influence of social networks and location enabled mobile devices has created a cultural and technological shift that allows MePlug to work in its element.
  • 7. MePlug QR Code
    • For location based dining and services
      • Users scan the QR Code
      • Recommendation box appears
      • Tie in location
      • User submits the recommendation
  • 8. What sets us apart?
    • MePlug can:
      • Differentiate between the value of one friends advice over another – do you value friends opinions equally?
      • Utilize your friends ’ friends, or local experts experiences
      • Tie in offers with recommendations - incentivize me!
      • Make it fun!
    • Competitors are: Yelp, GetGlue, Hipster, Blekko, and Domo
  • 9. Why it will work
    • Users are more likely to consume if they have a relevant recommendation from someone they trust
    • Information is gold to business success, a way to monitor service satisfaction and conduct market research
    • Businesses are keen for customers to recommend their product and services – it is the most credible form of marketing
    • Businesses are willing to pay for this (pay for what?)
    • Word of mouth spreads rapidly online
    • Attractive because its free
  • 10. Revenue stream
    • Advertised recommendations – when personal recommendation sources are exhausted
    • Affiliate marketing
    • Analytics and market research revenue
    • Keyword auctions
    • Advertising space
  • 11. Implementation
    • Launch as a Facebook application through an ‘invite only’ beta to get a fast user uptake and feedback.
    • Launch the website and iPhone app two months later through an ‘invite only’ beta
    • Launch the website to the public
    • Release a public API
    • Lessons learnt will be reviewed after each stage of implementation
  • 12. The team
    • Leon Johnson
      • 28, Management consultant, started own Management consulting company at 24
      • Cocoa and Python programming skills
      • Skilled graphic designer
    • Kenneth Kwok
      • Actuary and mathematics graduate
      • Market research skills developed as an equity analyst
  • 13. What we need
    • Advice and financial backing for development and marketing
    • Relevant contacts to promote this product