Business Plan / Funding Deck: Totally disruptive real estate brokerage model focused on the buyers. We developed all aspects of the launch of this new venture. This is the funding deck. We also developed UI/UX for a matching engine that dialed in the specifics of what home hunters are looking for that takes the guess work out of matching buyers with the properties they really want to see. WildOutWest specializes in all aspects of marketing for launching new ventures. We develop funding decks and can help make connections with Venture capital and Angel fuding sources. www.wildoutwest.com

1. We’ve defined a market opportunity in a
highly fragmented, trillion dollar industry
where half the customers are underserved...

2. The Problem
No other industry allows agents to systematically represent both $1 trillion
sides of a transaction... because of this,
NFL ICTED
No one brand is specializing in appropriately servicing and CO
protecting the buyer - the entire brokerage industry is seller-
BIASE
centric, with no clear choice for buyers.
D
OLS
Online search, based on information supplied by SELLING AGENTS
is biased and misrepresents the underlying truth of properties.
NO TO
Searches are hit-and-miss because there are no tools, systems or
processes in place that define what the BUYER really wants.
C O N F I D E NT I A L 0512.2012 2

3. The industry revolves around listings
Listings
Servicing Seller
MLS Data
Re-marketing and
Marketing Properties
Re-pricing
Showings Ad Placement
Staging Open Houses
C O N F I D E NT I A L 0512.2012 3

4. as a buyer
Which brokerage would you choose?
TRADITIONAL
BROKERAGE
80% focused on Sellers 100% focused on Buyers
Seller focused – sees listings as currency
Only represent buyers
Closed and competitive model A collaborative team vs. single agent
Agency conflicts Matching engine
Limited data from MLS/ prohibited from real vs Unbiased property evaluations
unbiased comparative analysis No listing conflicts
Market Research
Market Research
Buyers
Admin Buyers
Listings
Admin
C O N F I D E NT I A L 0512.2012
4

5. Competitive vs Collaborative
listings
Shared Market Knowledge
market
buyers
knowledge
buyers
market
listings knowledge
listings
market
knowledge buyers
agents are isolated in informational and experiential open and collaborative agents work together for
silos with their individual clients, market knowledge the buyer as a team with advantages of
and are protective of their listings specialization and shared market knowledge
C O N F I D E NT I A L 0512.2012 5

6. eHarmony for Home Buyers
Style Preferences move the sliders to help us match to your style
Architechture
Once a buyer has established a price and a
location - there are numerous subjective factors
that now become the most important - we are
no yes no yes no yes quantifying those factors and making them
Interior actionable.
We are modeling our technology services after
no yes no yes no yes
dating sites rather than existing real estate
interior
search models.
We go beyond price, location and size to drill
down deeper into a buyer’s unique preferences.
no yes no yes no yes
Se arch
hB eats
C O N F I D E NT I A L
M atc
0512.2012 6

7. Technology Platform
Mobile technology for agent-generated property reviews
designed to create clear visibility into the inventory in a market.
Matching engine determines what a buyer is looking for: Their
MUST- HAVE’s and where they are flexible. Gives the agent
actionable data so they don’t have to guess. Better Buyer
experience and customer satisfaction.
$ 500 k $1M $2M +
IES Price
PROPERT
35 sie daisy $7
99k Optional Important
K? whoop
tchen $6
99k
Starirs O
Location
m shared ki
1 bedroo Transport / Schools / Parks etc.
None Epic
View
Unique Features - Garage / Architecture etc.
$500k
Bathroom
Amzing
k
ns $500 Average Special
ss to trai
Privacy
and acce
Style/Quality
Features/ Build Quality / Garage / Architecture etc.
k
stmen t .. $ 900
Good inve
, affordab
e .. $ 60
0k C O N F I D E NT I A L 0512.2012 7
Practical
Contact

8. Data that matters
We deliver unbiased market knowledge gathered
by professionals with deep local market experience.
Enhanced data specialized to Buyer’s needs.
Gathered by unbiased agents with local
knowledge specifically for comparative analysis
MLS data and Public information hybrids
(Zillow/Trulia etc.) used for consumer searches
and other broker lead-gen sites
Generic MLS data from listing agents
(this is what most brokers use)
C O N F I D E NT I A L 0512.2012 8

9. Agents drive Scale
There are several factors that will enable the model to scale quickly
What makes us more appealing to agents?
Greater Deal Flow / Faster Cycles
Buyers buy in 8-10 weeks
Listings take 22-28 weeks to Sell.
Consistent agent revenue from property ratings
Higher Commission Structure – no overhead associated
with marketing listings
Better lifestyle and culture – Agents prefer working with
Buyers as opposed to servicing listings that may never sell.
C O N F I D E NT I A L 0512.2012 9

10. Marketing Properties vs Brand Building
$$$
Marketing
Funds
Advertising and
Promotion of
Company
Listings
Value
Servicing Listings
Properties sold Social Buyer Market Brand
Media Advocacy Data Building
Brand Marketing
awareness
Minimal ROI Exponential ROI
Minimal brand equity
C O N F I D E NT I A L 0512.2012 10

11. Revenue Forecast
Scaleable model with solid, sustained growth
$m 300
20k
225 TRX
$ 87.5MM BF
10k
150
TRX
$ 48.8 MM BF
10k
75 1000 TRX
TRX $21.9 MM BF
$4.4 MM BF
0
year 1 year 2 year 3 year 4
Gross Revenue Gross Revenues based on 5 TRX per agent /year
C O N F I D E NT I A L 0512.2012 11

12. Can’t click your way to
buying a home
Real estate is a people business
- it cannot be entirely replicated online
Our technology initiatives serve buyers:
- Match-beats-search
- unbiased property reviews
No cost to the buyer
We offer an irresistible value
proposition to buyers
C O N F I D E NT I A L 0512.2012 12

13. A better way to buy
Comprehensive
Matching Agents with a
Agent Property
Reviews
+ Engine + Single Purpose
80+ measures of value 50 + measures of preferences Buyers Agents are professional
specialists with purpose built
Must-haves and points of tools and proprietary data
UNBIASED evaluations
compromise defined
by paid professionals
Relative Value Comparisson
C O N F I D E NT I A L 0512.2012 13

14. Management Team
Geoff Bundschuh........CEO
Steve Buerger.....COO
David Shantz.....CMO
Wayne Boatwright......General Counsel
Ben Staker ..... SVP, Agent Development and Training
Mario Paez .... SVP, MultiCultural
C O N F I D E NT I A L 0512.2012 14

15. Huge Recurring Market
No pre-existing brand preference
Current model leaves no time to
ANNUAL
FIRST TIME
appropriately service this group
BUYERS
40 % BuyerFirst value proposition
tailored to this segment
C O N F I D E NT I A L 0512.2012 15