Big Ideas, Big Results, Big Data

Transcription

1 Big Ideas, Big Results, Big Data

2 Robert Osborne linkedin.com/in/osborner 2

3 Introduction Over 80% of homebuyers searching on Homes.com have not yet selected a real estate professional One of the nation s top online real estate destinations, Homes.com helps over 12.5 million consumers each month find a real estate professional and search nearly 3 million homes for sale or rent. Visitors to Homes.com can also learn about home financing, search home values or seek answers to real estate questions by connecting with a local real estate pro through the Question & Answer community on Homes.com. SOURCE: Omniture We joined Homes.com two years ago. Our broker went from a $4 million to a $14 million producer. The quality of leads are terrific and we have been turning those leads into active buyers that get to the closing table. If you re thinking about online marketing and Homes.com - just do it! That s my bottom line - just do it! Laurie Hensley, Office Manager to Kathy Shemwell, RE/MAX Alliance, Collinsville, IL Homes.com clients, Laurie Hensley (left) and Kathy Shemwell with RE/MAX Alliance, Collinsville, IL 3

4 Homes.com is Well Received More than ever, homebuyers and sellers are choosing Homes.com as their online destination during their home search. Take a look at the numbers: SOURCE: Hitwise TRAFFIC Monthly unique visitors 12.5 million Monthly visits 19 million Monthly home searches 28 million Market share for real estate search sites 3.9% Real estate search site ranking 5 LEADS Leads delivered each month 500,000 Consumers that convert to leads 3% Year over Year increase 300% 4

5 Why Splunk Homes.com is the Place to Grow! Homes.com is growing too with a national ad campaign reaching 260 million consumers on HGTV, TLC and DIY television networks Click below to view our national TV spot! 5 5

6 Splunk? ROI Please 6

7 New way of Thinking Connecting IT solutions with the Business 1. Product value in access logs? 2. Highlight Splunk s strengths? 3. Revenue generating ideas? 4. Product buy-in? 7 million Page views and growing! 7 SOURCE: Omniture, Flurry Analytics 7

8 Recommendation Engine Recommend properties based on engagement Increase Engagement The faster we can offer suggestions the more they are likely to search Increase Site Investment Fun to see what areas are popular Easy implementation Written in only 3 weeks Increases Revenue Increased engagement equals more leads 8

9 Technology Stack Age Every Hour Household Income index= weblogs "/listing" NOT KHTE rex field=_raw "GET /listing/ (?<LISTING_ID>\d+)" stats count(listing_id) AS LIST_COUNT by LISTING_ID,clientip 9

10 How it Works 10 10

11 Sales Tools Track customer behavior 11

12 Suggestive Search Suggest areas by popularity not by alphabetical order Convenient The faster we can offer suggestions the more they are likely to search Engaging Fun to see what areas are popular Easy implementation Once every hour we run a Splunk query and populate MongoDB. index="dhm_homes_webaccesslogs" source="*portal_access*" "/listing" NOT KHTE earliest=@d-1d rex field=_raw "GET / listing/(?<listing_id>\d+)" stats count(listing_id) AS LIST_COUNT by LISTING_ID,clientip Not a silver bullet It s neat but doesn t have much impact on ROI 12

13 Advertising Information Target local buyers and sellers outside your market Local Ads for Desktop & Mobile Brand yourself as the local expert with prominent placement in your city or zip code! Personalize your ads with photo or logo, brokerage, phone #, and a custom call to action. Drive traffic to your web site, social accounts, lead form or video. Get local! Choose what s best for you desktop, mobile or dominate your market on both! 13

14 Questions? 14