Presented October 13, 2011 at the annual Qualitative Research Association Conference in Las Vegas.
Target Audience: Qualitative market researchers who are new to social-media listening and would like to understand how to effectively begin using social media data to inform traditional research studies.
This presentation provides a high-level overview of the landscape of (primarily free) tools researchers can use to get started. Case studies help illustrate what works well and pitfalls to avoid.
It includes:
--Steps for setting up a basic social media listening campaign
--Examples of tools and resources to get started
--Issues to avoid to maximize success
--Best practices for monitoring and sharing results
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Avoid Pitfalls in Social Media Listening
1. Copyright 息 2011, Zanthus. All rights reserved.
QRCA Annual Conference 2011
How to Unlock the Treasures
and Avoid the Pitfalls
of Social Media Listening
Amanda Durkee, Zanthus
2. No such thing as a social media guru
Copyright 息 2011, Zanthus. All rights reserved. 1
1. Current state of
social media research
2. Case studies
3. Getting started
Image source: kozinets.net
3. Im here to focus on the listening aspect of social media
Copyright 息 2011, Zanthus. All rights reserved. 2Image source: onesocialmedia.com
4. Landscape of qualitative research is always changing
Copyright 息 2011, Zanthus. All rights reserved. 3
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Focus group image courtesy: triblocal.com
Ethnography image courtesy: carekit.com
Online focus group image courtesy: theblueroomonline.com
Social Media image courtesy: thesocialmetrics.com
iPhone courtesy: yugatech.com
5. Conditions are right for smooth sailing on the social media
research seas
Copyright 息 2011, Zanthus. All rights reserved. 4
Quick-turn and lower cost
Ubiquitous
Accessible
6. but take care to avoid rough waters
Copyright 息 2011, Zanthus. All rights reserved. 5
Information volume
Rapidly evolving space
Investment in expensive
tools
Ethical considerations
Image courtesy: freefoto.com
7. Lots of tools!! Who do I listen to?
Copyright 息 2011, Zanthus. All rights reserved. 6
8. Sentiment analysis = positive, negative
Some aspects of listening toolshone in on trends and
themes
Copyright 息 2011, Zanthus. All rights reserved. 7
10. trends and themes of whats being said
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Natural language processing (NLP) = trends and insights
11. How Zanthus integrates social media listening with traditional
research
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Track trends
(explore
hypotheses)
Fill in
knowledge
gaps
(analysis)
Identify
themes
(design)
12. Reliance on free tools, product trials
Copyright 息 2011, Zanthus. All rights reserved. 11
13. Case study #1: home technology convergence OLBBs
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Study objective: Explore
home control user
experience
Social media used to
inform discussion guide
Listen to conversations;
recruit early tech adopters
via Twitter link to screener
Image courtesy: ukhomeideas.co.uk
14. Case study #1: itracks social media listening tool
Copyright 息 2011, Zanthus. All rights reserved. 13
Designed for market research
industry:
Unlimited search terms
Customized search
Data download (daily)
Support and training
15. Case study #1: itracks assessment pros and cons
Copyright 息 2011, Zanthus. All rights reserved. 14
What worked well Suggested improvements
Search specific brands, products General search topic ineffective
Consolidated platform Dashboard is too busy
Easy access to original content Mostly from Twitter/140 characters
Data export to Excel Data export volume overwhelming
Customization Time consuming to correct
sentiment analysis,
inclusion/exclusion new blogs
Influencer prioritization Klout score surfaces many
marketers, advertisers
16. Case study #2: Netflix price hike (SM listening only)
Copyright 息 2011, Zanthus. All rights reserved. 15
Study objective: Explore
hypothesis Neflix users will
defect
Social media used to
monitor conversation after
announcement through
implementation
Track discussion about
Netflix, Amazon, Hulu
Image courtesy: kotaku.com
17. Case study #2: Beevolve social media listening tool
Copyright 息 2011, Zanthus. All rights reserved. 16
Grouped search terms
Dashboard showing
sentiment, geography, age,
gender
Data download (daily)
Insights tool under
development (TBD)
18. Case study #2: Beevolve assessment pros and cons
Copyright 息 2011, Zanthus. All rights reserved. 17
What worked well Suggested improvements
Search for and compare specific
brands, products
Drill down on one search term at a
time
Consolidated platform Dashboard doesnt compare terms
Easy access to original content,
including demographics, sentiment
Data export only Twitter
Data export to Excel Cant define time period
Visually appealing Lacking depth
19. Case study #3: online university satisfaction and needs
assessment
Copyright 息 2011, Zanthus. All rights reserved. 18
Objective: Understand how
public Facebook page is
used
Facebook audit
Supplemented satisfaction
study findings
20. Case study #3: online university satisfaction and needs
assessment
Copyright 息 2011, Zanthus. All rights reserved. 19
21. Data volume, duplicate info
Time investment
Manual customization of
sources (i.e., blogs)
Automated tools like
sentiment, influencer
analysis not helpful
The pitfalls = the present
Copyright 息 2011, Zanthus. All rights reserved. 20Image courtesy: staffsurvey.com.au
22. Download data from
targeted/multiple sources
(beyond Twitter!)
Accurate sentiment
analysis
Influencer prioritization
Text analytics (NLP)
Qualitative recruiting
The promise = the future
Copyright 息 2011, Zanthus. All rights reserved. 21Image courtesy: anthonydoes.wordpress.com
23. Steps for setting up your successful social media listening
campaign
Copyright 息 2011, Zanthus. All rights reserved. 22
Choose a tool (or tools) that makes sense to you
Keep your audience in mind
Start with objectives; test a hypothesis
Set time limits, but allow enough time
Put social media into context
Just get started!
24. Issues to avoid to maximize success
Copyright 息 2011, Zanthus. All rights reserved. 23
Distracted by new tools
Overwhelmed by data
Sucked into a time vortex
Reliant on sentiment,
influencer scores
Image source: cathystucker.com
25. Best practices for listening
Copyright 息 2011, Zanthus. All rights reserved. 24
Track searches in a
spreadsheet
Put related search terms in
quotes.
e.g, Wal Mart
Exclude terms
English-only (if possible)
26. Best practices for sharing results
Copyright 息 2011, Zanthus. All rights reserved. 25
Representative quotes
(remove PII)
Word clouds
Charts, graphs66%
28%
6%
Events
Weather
Books
27. Learn from your peers
Attend webinars (Netbase, AMA)
Join LinkedIn groups (NextGen MR,
Social Media Today)
Monitor #mrx on Twitter
Set up demos, free trials
Experiment with saved search terms
(Google Alerts, HootSuite)
Get inspired!
Copyright 息 2011, Zanthus. All rights reserved. 26