Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Social Monitoring Doesn’t Stop At Social Media
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Social Monitoring Doesn’t Stop At Social Media
Collaborative DataData MiningSentiment AnalyticsSocial Data

Social Monitoring Doesn’t Stop At Social Media

Jennifer Roberts
Jennifer Roberts
3 Min Read
SHARE

When most companies think about monitoring online conversations, the discussion generally stops at social media. Conversations about your brand are not limited to the social media landscape. Consumer are evaluating, requesting support and sharing their experience with your company through a variety of engagement points, like customer service agent transcripts, email surveys, social media assets, etc.. And that just represents the online experience, it doesn’t take into account the number of offline opportunities.

When most companies think about monitoring online conversations, the discussion generally stops at social media. Conversations about your brand are not limited to the social media landscape. Consumer are evaluating, requesting support and sharing their experience with your company through a variety of engagement points, like customer service agent transcripts, email surveys, social media assets, etc.. And that just represents the online experience, it doesn’t take into account the number of offline opportunities. Why would you limit your analysis to only a single data point when it makes more sense to extend your text analytics strategy to other assets?

Blend Social and Enterprise Analytics for a Holistic Social Marketing Approach

When devising a text analytics strategy for a campaign or other outreach effort, consider how insights derived from different data sources can be used to complement and validate your analytics insights.

For example, we worked with a beverage company that was devising a campaign that had to adhere to strict geographical and legal requirements. They were building a campaign to target male authors, 21 years and older. Additionally, our client wanted to be able to isolate and compare on-topic, brand conversations from the San Francisco/Los Angeles area to those occurring in the New York area from this specific demographic.

More Read

Ning and Wordframe
SDC @ Strata – Edd Dumbill – Rockstar Unicorns
WOW! Big Data at Google
Smarter Traffic
Visualizing correlation matrices

This client approached their project in a holistic manner. They had originally completed some market research for this campaign and used the findings from our social media analytics project to validate some of the conclusions. They also took advantage of our analytics methodology to surface themes and trends that weren’t on their immediate radar. Knowing how consumers associate your brand with well-known artists or celebrities may present an opportunity for co-branding.

Click to enlarge

By setting up their approach to incorporate both social and enterprise data into their campaign analysis, our client was able to take advantage of the unique perspective provided by both. The important point to remember is not to limit your analytics approach to relying exclusively on social media for your consumer intelligence. Broadening your scope to include all sorts of data sources (unstructured text) will help expose unexpected insights and validate the direction of your business strategy.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI video surveilance
AI Video Surveillance for Safer Businesses
Artificial Intelligence Exclusive
Managed IT Services
Comparing Affordable Managed IT Services for Denver’s Remote Workforce
Exclusive IT
human verification tool for business
Human Verification Tools Help Make Smarter Data-Driven Decisions
Big Data Exclusive
ai in business
Recurring Revenue Strategies for the AI Business Era
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Big Data Blasphemy: Why Sample?

8 Min Read

How Your Hadoop Distribution Could Lose Your Data Forever

0 Min Read

Wikipedia Page Traffic Statistics Dataset

7 Min Read

Text Mining & Analytics – Correlating Social Intelligence with Traditional Data

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?