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
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 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

Musings on Watson: Why Healthcare?
Just as the media and businesses are coming to grips with Web…
Five Segmentation Must-Dos
Data Mining Research Updated
Feb 5th – WAA Webinar: Get the $$$ for Testing

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

mobile device farm
How Mobile Device Farms Strengthen Big Data Workflows
Big Data Exclusive
composable analytics
How Composable Analytics Unlocks Modular Agility for Data Teams
Analytics Big Data Exclusive
fintech startups
Why Fintech Start-Ups Struggle To Secure The Funding They Need
Infographic News
edge networks in manufacturing
Edge Infrastructure Strategies for Data-Driven Manufacturers
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Validation, Correction, and Conversion: Presenting the PMML Converter!

6 Min Read

Data-Driven BPM: Making “Big Data” Actionable

4 Min Read

Why Paper is the Enemy of Words

2 Min Read

IBM’s New Retail Tools How you shop: what it…

1 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.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?