Day 2: Georg Chmiel
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Big data and predictive analytics Technological progress has made big data ready to shake up the portal and real estate industry. It is about transforming the business models and processes of all participants, such as agents, buyers, sellers, portals in the real estate space. It is the differentiating factor for developers in highly competitive markets. Big data combined with social media and bots it provides a winning formula to those who embrace it.
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Day 2: Georg Chmiel
- 1. 1 BIG DATA PREDICTIVE ANALYSIS BOTS DISRUPTION in Real Estate
- 2. 23 years of Experience in (Online) Real Estate ONLINE REAL ESTATEREAL ESTATE
- 3. Past work experience - the world’s largest advertising group for real estate
- 4. 4 Times Are Changing People Digital InnovationChange
- 5. People Digital InnovationChange Social Media Disruption Times Are Changing
- 8. People Digital InnovationChange Social Media Disruption It is about Social (People) Using the online networks to get things done better in the real world Times Are Changing
- 9. Page‹#› Deppon Disruption is nothing new
- 10. DISRUPTION
- 13. Page‹#› Deppon 1999 US$60 billion 2006 US$60 billion2006 under $1 billion 1999 under $1 billion Disruption is a ZERO sum game
- 14. Quality Listings Direct & Organic Traffic Leads to Agents Tell Consumers Sign up & Upgrade Agents & Private Listers Print to Online Conversion Is this enough?
- 15. Page‹#› Deppon Disruption is affecting everyone Agents/Realtors Portals
- 16. Page‹#› Deppon Disruption Taxi No metre Expensive routes Intelligent booking system Tracking Rating No Driver Ultimate Car Sharing Collaborative Consumption Purchase Car
- 17. Page‹#› Deppon Value of Modern Companies Brand & Data Technology / Patents Net assets
- 18. Page‹#› Deppon Value of Modern Companies
- 19. Page‹#› Deppon Value of Data iProperty was a sponsor of a hack day in May 2016 Sponsorship = 65m rows of data
- 21. Big Data in Real Estate Developers Agents ● To configure ● To advertise ● To sell ● To sell Data To Build Data To Advertise Data To Sell Data To Manage
- 22. Data To Build Question: I have a block of land - what should I build
- 23. Data To Build Data To Build
- 24. Data To Build Question: How should I price the project? How many people can afford it?
- 26. Data To Advertise Question: Where do my potential buyers sit?
- 29. Data To Advertise Question: How do I get 10x higher response rate in my eDMs?
- 30. Page‹#› Deppon Data To Advertise How to send emails to 5-10% of your database - less exhausted database Charge more Have better results, and as a result happier customers source: iProperty Group public information
- 31. Page‹#› Deppon DATA Data To Advertise
- 32. Data To Advertise Question: How can I maximise my advertising spend?
- 34. Data To Sell Question: How much is my property worth?
- 35. Data To Sell
- 36. Data To Sell Question: How likely will the project sell?
- 37. Data To Sell
- 38. Data To Sell Question: How do I best talk to the buyers?
- 39. Page‹#› Deppon Pull 1.0 Pull 1.2 Pull 2.0 Disruption is affecting everyone - PULL
- 40. First level contact - bots Data To Sell
- 41. Big Data Data To Sell
- 42. Page‹#› Deppon
- 44. THANK YOU