Posts Tagged ‘listening’


Quick and Dirty or Slow and Careful: Conversition’s #NewMR Presentation

Wednesday, March 9th, 2011

Social media analysis is so simple. Do a keyword search on Google, find some data mentioning your brand name, whip up some cool analytical results. But wait – have you ever wondered why different people end up with such different results when they research or monitor the same topic? This presentation, created for the #NewMR festival on Listening, will share just a few of those reasons with real examples. Mmmm…. real data!

Related posts

Conversition on LinkedIn

Join Us at the NewMR Virtual Festival – Listening is the New Asking #MRX

Thursday, February 24th, 2011

We are pleased to once again be presenters at a NewMR virtual festival! This virtual event looks at different aspects of buzz listening, blog monitoring, and computer assisted qualitative data analysis. You can read more about the event here.

The Event will be held as three two-hour sessions, each session being targeted at a different time zone. Annie Pettit will be speaking at the end of the third session which is 3pm to 5pm New York Time (EST) or 8pm to 10pm (GMT). .

Annie Pettit, PhD is the Chief Research Officer of Conversition Strategies. She has more than 15 years of experience as an online market researcher and specializes in data quality and social media research. Annie is a member of the CASRO, MRA, and ESOMAR social media research committees. Annie was previously the VP of Online Panel Analytics at Ipsos. Her expertise in research methods and data quality has been highlighted through numerous conference presentations, including ARF, CASRO, MRA ,MRIA, NetGain, and IIR. She has also published numerous articles in both professional and refereed magazines and journals.


Presentation Summary

Quick and Dirty or Slow and Careful: Social Media Data Speaks

Social media research seems like a quick and easy solution to surveys. The data is instantly available to anyone whether you are a researcher and whether you have access to any specialized tools. But, this paper will demonstrate, with real data, how your research results can be negatively affected if you don’t take care at various stages of the research process. We will evalute how results are affected when care isn’t taken to develop the initial search set, to create the variables being measured,  and to select the websites being reviewed.