Real Estate Agent Response Times versus Client Expectations Room for improvement is clearly indicated. Market Enhancement Group, Inc. MEG-Research.com.

Slides:



Advertisements
Similar presentations
April 18-19, 2009 HOMEBUYERS FAIR Leslie Appleton-Young C.A.R. Vice President and Chief Economist 2009 California Real Estate: Opportunities for First.
Advertisements

Missouri Brand Awareness & Destination Audit Study Fall 2003 Presented to: Missouri Association of Convention & Visitors Bureaus June 8, 2004.
Florida REALTORS ® Commercial Real Estate Lending Study Market Enhancement Group, Inc. June 2013.
Millennials Confident. Connected. Open to Change. Paul Taylor, Pew Research Center.
EBI Statistics 101.
Lender Satisfaction Survey Short Sale Breakout Final Results,
2013 Survey of California Home Buyers. Survey Methodology 1,400 telephone interviews conducted in March 2013 Respondents are home buyers who purchased.
WORKING EFFECTIVELY WITH TODAY’S APPRAISERS December 19, 2013 Oscar Wei Senior Research Analyst.
SE 450 Software Processes & Product Metrics Survey Use & Design.
BRE Confidence Index for Residential Property (2005:Q2, June 2005) Presenter: Prof. Eddie C. M. Hui Research Centre for Construction and Real Estate Economics.
1 BRE Confidence Index for Residential Property (December 2006 Survey) Presenter: Prof. Eddie C. M. Hui Research Centre for Construction and Real Estate.
Attitudes Toward the Kansas Forest Service Conservation Tree and Shrub Seedling Program By Brett Zollinger, Ph.D. Docking Institute of Public Affairs.
Quarterly Economic Snapshot Survey Quarterly Economic Snapshot Survey.
2012 Survey of California Home Sellers. Methodology Telephone surveys conducted in August/September of 600 randomly selected home sellers who sold in.
Craft is what we are expected to do; art is the unexpected use of our craft. Ed Catmull President of Walt Disney Animation Studios.
Dr. James P. Gaines Research Economist recenter.tamu.edu.
2012 Survey of California Home Buyers. Survey Methodology 800 telephone interviews conducted in August 2012 Respondents are home buyers that purchased.
Consumer Buying Trends 2005 January 28, Furniture/Today’s exclusive consumer data responses of 2,500 households, closely matching the demographic.
Learn. Live. Lead. Life-long Learning and Real Estate Success Jessica Lautz November 9, 2013.
2014 MEMBERSHIP SURVEY HIGHLIGHTS Joel Singer, CEO May 3, 2014.
The copyright laws of the United States (Title 17 U.S. Code) forbid the unauthorized reproduction of this report by any means, including facsimile or computerized.
2015 CALIFORNIA HOME BUYERS SURVEY 1. Survey Methodology 700 telephone interviews and 567 online surveys conducted in February – April 2015 Respondents.
THE HOME BUYERS OF TOMORROW—WHAT MILLENNIALS REALLY WANT Presented by Carmen Hirciag, MBA Senior Research Analyst.
Welcome to QSC Introduction Quality Service Certification, Inc. Teamwork Builds Great Futures! A Proud Partner of United Country Real Estate To sign up.
Florida REALTORS ® Commercial Real Estate Lending Study Market Enhancement Group, Inc. July 2012.
Customer Satisfaction Research Produced for: Raven Housing Trust – November 2012 Presented by Emma Hopkins Customer Satisfaction Research Produced for:
WORKING WITH INTERNATIONAL HOME BUYERS IN CALIFORNIA Presented by Carmen Hirciag Senior Research Analyst.
Research Resource Guide Smart professionals know that numbers matter. In real estate, knowing the statistics can help you improve and focus your business,
Tax Index with the support of the InMind research company EBA Tax INDEX 2 nd wave, results of the 2-3 quarter 2012 Conducted by the EBA with the support.
Demographics and the Future of Transportation Policy: Real Estate Market Perspective Paul C. Bishop Managing Director, Research NATIONAL ASSOCIATION OF.
UNDERSTANDING CALIFORNIA HOME SELLERS Presented by Carmen Hirciag, MBA Senior Research Analyst 1.
2012 ANNUAL HOUSING MARKET SURVEY. Methodology C.A.R. has conducted the Annual Housing Market Survey since The questions and methodology have stayed.
UNDERSTANDING CALIFORNIA HOME BUYERS Presented by Carmen Hirciag, MBA Senior Research Analyst.
Types of Data in FCS Survey Nominal Scale – Labels and categories (branch, farming operation) Ordinal Scale – Order and rank (expectations, future plans,
UNDERSTANDING CALIFORNIA HOME SELLERS September 24,2015 Oscar Wei, Senior Economist.
The 3 Reasons the next 90 Days are Crucial to your Career.
From Theory to Practice: Inference about a Population Mean, Two Sample T Tests, Inference about a Population Proportion Chapters etc.
PROFILE OF LUXURY CLIENTS. Survey Methodology 730 online surveys were received in November Respondents are Luxury clients who purchase/sell a home.
2013 SURVEY OF CALIFORNIA HOME SELLERS. Methodology Telephone surveys conducted in August/September of 600 randomly selected home sellers who sold in.
New Business Overall Satisfaction Ratings Rating Scale = Extremely Satisfied 6 = Very Satisfied 5 = Satisfied 4 = Neither Satisf. nor Dissatisfied.
Hawai‘i Public School Teachers Survey Prepared for: The Learning Coalition February 2012 Ward Research, Inc. 828 Fort Street, Suite 210 Honolulu, Hawaii.
The New Real Estate Consumer May 3, 2012 Joel Singer, CEO, C.A.R.
Today’s Agenda What we already know about the current Real Estate Market Today’s Buyer Value Perception Today’s Transferring Seller…How to Handle Buyer’s.
Knowing Your Real Estate Statistics!. NAR results of 2010 Profile of Home Buyers and Sellers. The median home price for sellers who used an agent is.
Slide 1 Customer Satisfaction Monitoring Rolling data 2014/15 –Waves 1-12 (April 14-March 15)
Fayette County USA Expansion Opinion Survey Prepared for Cornett-IMS/Fayette Alliance The Matrix Group, Inc August 2006.
Alumni Survey Summer 2015 Undergraduate and Graduate.
Top Producer Study A telephone interview survey of 400 REALTORS® nationally who sold a minimum of $10MM in residential real estate in Market Enhancement.
Pastors Report Mixed Economic Signs Survey of 1,000 Protestant Pastors.
Federal Election Poll Results Oct. 10, Éric Grenier's Poll Tracker (338 seats) Source: tracker/2015/index.html#pollshttp://
Chapter7 & 8 Experimental Design & Measurement of variables Adnan Khurshid.
Using Marketing Data. Working with Simmons Data Identifying potential consumers Segment prospect markets Narrow consumer targets Characteristics Media.
Financial Downturn for Churches in 2010 Survey of 1,000 Protestant Pastors October 2010.
What statistical tests have we learned so far? Descriptive statistics (chp. 12) –Mean, median, mode –Frequency of each response (frequencies), range, standard.
2016 CALIFORNIA INVESTOR SURVEY 1. Survey Methodology 364 online surveys conducted in February-March 2016 Respondents: REALTORS® who have worked with.
Citizen Satisfaction Survey February 2006 Results Office of the Mayor Program Management Office February 10, 2006.
2006 Home Sellers Survey Bill Stewart High Performance Business Systems, Inc. June 2006 C.A.R. Business Meetings.
C.A.R. RESEARCH HIGHLIGHTS June 5, 2008 Joel Singer Executive Vice President California Association of REALTORS®
2016 RENTER SURVEY 1. Survey Methodology 1,000 online surveys of California renters conducted in March Sample error: 3.1% at 95% confidence interval.
Citizen Satisfaction Survey March 2003 Results Office of the Mayor Program Management Office March 28, 2003.
The October 2011 MLS statistics will be released on Wednesday morning (one day later than usual due to the Annual NAR Conference), and here are some quick.
2016 Annual Housing Market Survey
2017 Community Survey City of Mountain Brook, Alabama
Millennial Survey 2014.
City of Washougal 2016 Community Survey Findings
Student Satisfaction Spring 2009 Short Version
Survey Design & Use.
Student Satisfaction Spring 2006 (Short version)
Hot Issues: Staging March 2019.
Consumer Behaviour Lecture 3.
Presentation transcript:

Real Estate Agent Response Times versus Client Expectations Room for improvement is clearly indicated. Market Enhancement Group, Inc. MEG-Research.com ®

2 Recent Home Buyers: Expected vs. Actual Response Time Market Enhancement Group, Inc. MEG-Research.com  For over two thirds of all home buyers, their real estate agent’s response time to them did not meet their expectations.  The younger the client the greater the gap in response times between expectations and what they actually received.

3 Recent Home Sellers: Expected vs. Actual Response Time Market Enhancement Group, Inc. MEG-Research.com  For nearly three quarters of all home sellers, their real estate agent’s response time did not meet their expectations.  As was the case with home buyers, among home sellers, the younger the client the greater the gap in response times between expectations and what they actually received.

4 Recent Home Buyers: Rating of Your Real Estate Agent’s Response Time Rating on a 10-point scale. “10” is extremely satisfied. “5” is neutral. “1” is extremely dissatisfied. Market Enhancement Group, Inc. MEG-Research.com  Satisfaction among home buyers of their real estate agent’s response time was tepid at best.  For younger home buyers (Gen Y) their mean and median satisfaction ratings trend toward dissatisfaction.

5 Recent Home Sellers: Rating of Your Real Estate Agent’s Response Time Rating on a 10-point scale. “10” is extremely satisfied. “5” is neutral. “1” is extremely dissatisfied. Market Enhancement Group, Inc. MEG-Research.com  Satisfaction among home sellers of their real estate agent’s response time was similar to home buyers; lukewarm at best.  Again, for younger home sellers (Gen Y) their mean and median satisfactions rating lean toward dissatisfaction.

6 Methodology All surveys were completed by telephone. There are 1600 completed surveys nationally divided into two categories: home buyers who closed escrow in October, November, or December home sellers who closed escrow in October, November, or December Survey respondents were selected on a random probability basis. The sampling error for both the home buyer and home seller segments is +/-3.5% at two standard deviations (a 95% confidence level). The survey breaks out the questions by “generations.” The generations are defined as follows: Boomers: born 1946 to 1964 (age 47 to 65) Gen X: born 1965 to 1979 (age 32 to 46) Gen Y: born 1980 to 1999 (age 31 and younger) Market Enhancement Group, Inc. MEG-Research.com