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Sonal, Lynann, Kostub, Erlan, Zane
contactneighborhoodmatch@gmail.com
http://neighborhoodmatch.weebly.com
Neighborhood Match
Overview
For people relocating to a different city,
Neighborhood Match helps them
find the perfect neighborhood
Problem / Opportunity
• 30 million US households move every year and feel
the pain of trying to find the right neighborhood *
• Most movers rely on friends, gut instinct, “trial and
error”, time-consuming research and dispersed data
• Realtors struggle to find quality leads and spend
over $9.2b per year advertising homes – online
spend currently $1b but rapidly growing**
* US Census Data
** National Association of Realtors
Demo – an evolved user experience
• V1 concept prototype
• Demo Video:
http://screencast.com/t/gzHxbg8o
• Interactive Demo Site:
http://neighborhoodmatch.weebly.com/
• V2 concept prototype
• Interactive Demo Site (in progress):
http://neighborhoodmatch.org/
Competitive Advantages
• Product
Neighborhood Match starts with your epicenter – your reason
for moving; then creates an informative neighborhood radar
based on what’s most important to you
• Relationships
Leverage connections with Seattle Rentals, Estately and
Redfin to drive mutually beneficial partnerships
• Founders
Seasoned “movers” with extensive product development,
business leadership and launch experience from Google,
Microsoft, Amazon and six previous start ups
Sales and Marketing
• User Acquisition
• Strategic partnerships with rental companies, real
estate agents and real estate websites
• Become the definitive source of neighborhood data on
the web, including SEO and regular “best of / top 10”
lists and info graphics
• Wins To Date
• Commitment from Seattle Rentals and ongoing
dialogue with Estately CEO
• Numerous real estate agents signed up for free
“trial” leads
We can, it can’t It can, we can’t
Zillow
Decision engine to find
neighborhood
Comprehensive home
listings, Zestimates
NabeWise
Personalized search
using ‘epicenter’
Detailed ratings,
rankings and reviews
Neighborhood
Scout
Comprehensive, free
Charge realtors for
conversions
Search
Engines /
Wikipedia
Aggregated information
in one location
Lots of user traffic
Competition
Business Model
• Business Opportunity
• Realtors spend $9.2b per year on customer
acquisition, only $1b online but growing rapidly
• Rental Advertising Market is $2b per year
• On average, professionals relocate every five years
• Revenue Model
• Realtor Leads: $20-$30 per lead
• Rental Finders Fees: $200-$500 per customer
• Display Advertising: $0.08 per user
Forecast
6 Months 1 Year 2 Years 3 Years
# of Users 20k 100k 300k 1M
# of Launched
Cities 1 3 5 10
# of Agents 0 100 500 1000
Revenue $0 $0.3M $1.5M $6M
# of Employees 3 5 15 25
Expenses $0.2M $0.5M $2.5M $4M
Profits ($0.2M) ($0.2M) ($1.0M) $2M
Team
• 60+ years combined experience with Microsoft, Google, Cisco,
Amazon, Lockheed Martin, Waggener Edstrom and 6 startups
• Integrated Expertise: Business/team leadership, product
development, program management, PR
• 14 relocations across 4 continents & US cities; we know the pain &
are the right team to solve it!
Erlan Kostub Sonal Zane Lynann
Status and Milestones
• June 2012: published first concept prototype
• July 2012: partnership commitment from Seattle Rentals,
initiated partnership discussions with Estately
• July 2012: ranked #1 team on Stanford venture-lab out of
over 83,000 students
• Aug 2012: published second prototype, presently refining
based on customer feedback for demos at end of month
• Sep 2012: incorporate and start product development
Summary & Contact
• Neighborhood match is a personalized experiential
service to help you find the perfect neighborhood that
meets your needs.
• We’re in the early conceptual stage and frequently
interacting with customers and advisors to continuously
refine our product design and business model.
• We would love to hear from you and receive your support
in making this product come to life. Please contact us
with any questions, feedback or suggestions.

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Neighborhood Match - Top 10 Team - Stanford Venture Lab 2012

  • 1. Sonal, Lynann, Kostub, Erlan, Zane contactneighborhoodmatch@gmail.com http://neighborhoodmatch.weebly.com Neighborhood Match
  • 2. Overview For people relocating to a different city, Neighborhood Match helps them find the perfect neighborhood
  • 3. Problem / Opportunity • 30 million US households move every year and feel the pain of trying to find the right neighborhood * • Most movers rely on friends, gut instinct, “trial and error”, time-consuming research and dispersed data • Realtors struggle to find quality leads and spend over $9.2b per year advertising homes – online spend currently $1b but rapidly growing** * US Census Data ** National Association of Realtors
  • 4. Demo – an evolved user experience • V1 concept prototype • Demo Video: http://screencast.com/t/gzHxbg8o • Interactive Demo Site: http://neighborhoodmatch.weebly.com/ • V2 concept prototype • Interactive Demo Site (in progress): http://neighborhoodmatch.org/
  • 5. Competitive Advantages • Product Neighborhood Match starts with your epicenter – your reason for moving; then creates an informative neighborhood radar based on what’s most important to you • Relationships Leverage connections with Seattle Rentals, Estately and Redfin to drive mutually beneficial partnerships • Founders Seasoned “movers” with extensive product development, business leadership and launch experience from Google, Microsoft, Amazon and six previous start ups
  • 6. Sales and Marketing • User Acquisition • Strategic partnerships with rental companies, real estate agents and real estate websites • Become the definitive source of neighborhood data on the web, including SEO and regular “best of / top 10” lists and info graphics • Wins To Date • Commitment from Seattle Rentals and ongoing dialogue with Estately CEO • Numerous real estate agents signed up for free “trial” leads
  • 7. We can, it can’t It can, we can’t Zillow Decision engine to find neighborhood Comprehensive home listings, Zestimates NabeWise Personalized search using ‘epicenter’ Detailed ratings, rankings and reviews Neighborhood Scout Comprehensive, free Charge realtors for conversions Search Engines / Wikipedia Aggregated information in one location Lots of user traffic Competition
  • 8. Business Model • Business Opportunity • Realtors spend $9.2b per year on customer acquisition, only $1b online but growing rapidly • Rental Advertising Market is $2b per year • On average, professionals relocate every five years • Revenue Model • Realtor Leads: $20-$30 per lead • Rental Finders Fees: $200-$500 per customer • Display Advertising: $0.08 per user
  • 9. Forecast 6 Months 1 Year 2 Years 3 Years # of Users 20k 100k 300k 1M # of Launched Cities 1 3 5 10 # of Agents 0 100 500 1000 Revenue $0 $0.3M $1.5M $6M # of Employees 3 5 15 25 Expenses $0.2M $0.5M $2.5M $4M Profits ($0.2M) ($0.2M) ($1.0M) $2M
  • 10. Team • 60+ years combined experience with Microsoft, Google, Cisco, Amazon, Lockheed Martin, Waggener Edstrom and 6 startups • Integrated Expertise: Business/team leadership, product development, program management, PR • 14 relocations across 4 continents & US cities; we know the pain & are the right team to solve it! Erlan Kostub Sonal Zane Lynann
  • 11. Status and Milestones • June 2012: published first concept prototype • July 2012: partnership commitment from Seattle Rentals, initiated partnership discussions with Estately • July 2012: ranked #1 team on Stanford venture-lab out of over 83,000 students • Aug 2012: published second prototype, presently refining based on customer feedback for demos at end of month • Sep 2012: incorporate and start product development
  • 12. Summary & Contact • Neighborhood match is a personalized experiential service to help you find the perfect neighborhood that meets your needs. • We’re in the early conceptual stage and frequently interacting with customers and advisors to continuously refine our product design and business model. • We would love to hear from you and receive your support in making this product come to life. Please contact us with any questions, feedback or suggestions.

Notes de l'éditeur

  1. Moving is hard, and finding the right neighborhood to live in is even harder Online spend growing due to more measurable results and strong user pull driven by services like Zillow and Redfin