We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Importance of Social Media Analytics
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Social Media Analytics > Importance of Social Media Analytics
Social Media Analytics

Importance of Social Media Analytics

Jagjit Singh
Jagjit Singh
4 Min Read
Importance of Social Media Analytics
Illustration generated with FLUX.2 [Klein 9B] via local ComfyUI.
SHARE

We can safely say that the decline in outbound marketing is due to a fundamental shift in consumer behaviour. People are in control of the information they choose to receive and how. With the onset of web 2.0, interaction with brands and their products or services has been revolutionized to the extent that it has empowered customers to find, buy and sell often from sources such as the internet, word-of-mouth or customer reviews.

We can safely say that the decline in outbound marketing is due to a fundamental shift in consumer behaviour. People are in control of the information they choose to receive and how. With the onset of web 2.0, interaction with brands and their products or services has been revolutionized to the extent that it has empowered customers to find, buy and sell often from sources such as the internet, word-of-mouth or customer reviews. More importantly, Forrester’s report points to the fact that 83% of the customers are influenced by the opinion of a friend or acquaintance who has used the product or service as compared to 63% influenced by a known expert. With customers slowly moving away from a passive to an active role, a critical medium arises amidst the dawn of a new marketing era: Social Media.

Statistics are enlightening when it comes to gauging on the magnitude of online activity caused by people. As of 2012, there are more than a billion users on different social media platforms and more than 3.5 billion pieces of content (web links, new stories, blog posts etc.) shared each week on Facebook alone. The numbers do not come as surprise; instead it clearly highlights who is who in today’s world. For example, in 2008 Johnson and Johnson’s Motrin brand launched a video campaign targeting “baby-wearing” mothers. The commercial controversially talked about the burdens of wearing your baby in a body sling. What came next was an onslaught against the brand through twitter and blogs. The whole debacle created buzz so fast, that Kathy Wildmer, vice president of consumer healthcare division, offered an apology. What’s even more mindboggling is that the bulk of these events unfold over the course of 24 hours on a weekend. J&J got most of their marketing campaign wrong, but one thing they did right was they had their ears tuned into social media. With negative sentiments running high, J&J was able to react swiftly.

Even after such instances, organizations are still sceptical in investing in social media monitoring tools. I don’t blame them, it’s because of all the confusion that has been created in this industry. Providing the number of likes or comments on social media campaigns is not analytics, instead providing the number of positive and negative mentions in the comments with regards to the buzz created is analytics. For example 100+ mentions with 50% increase in positive sentiment is a more conclusive measurement than 5 mentions with 100% increase in positive sentiments. Like it’s said, the best marketers are those that incorporate the changing trend, the same goes with social media analytics, you are either onboard or you are not.

More Read

Big Data Analytics Doesn't Have to Be the Wild West
Big Data Analytics Doesn’t Have to Be the Wild West
Building Online Influence With Content Curation
Report: Brands Use Advanced Analytics to Reach Double Digit Growth
4 Amazing Time Saving Analytics Tools For Social Media Marketing
Danger: 3 Reasons to Be Scared of Big Data
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Technical architecture diagram and decision framework for ai-powered logo generation: design.com vs looka
AI-Powered Logo Generation: Design.com vs Looka
Artificial Intelligence Exclusive
Retailers Should Stop Treating Every Stockout as Equal -- AI-generated illustration
Retailers Should Stop Treating Every Stockout as Equal
Business Intelligence Exclusive
Best Vibe Coding Cleanup Specialists in the USA: Fix or Rebuild? -- AI-generated illustration
Best Vibe Coding Cleanup Specialists in the USA: Fix or Rebuild?
Development Exclusive
Using Warehouse, Transportation and Order Data to Plan Distribution-Center Capacity -- AI-generated illustration
Using Warehouse, Transportation and Order Data to Plan Distribution-Center Capacity
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Big Data and the Analytics Arms Race
AnalyticsBig DataPredictive AnalyticsSocial Media AnalyticsText AnalyticsWeb Analytics

Big Data and the Analytics Arms Race

6 Min Read
IBM's Billion-Dollar Bet on Kenexa for Social Business and Talent Management
Social DataSocial Media AnalyticsWorkforce AnalyticsWorkforce Data

IBM’s Billion-Dollar Bet on Kenexa for Social Business and Talent Management

13 Min Read
Clarabridge Gets Engaged: A Report from the Customer Connections Conference
Sentiment AnalyticsSocial Media AnalyticsText Analytics

Clarabridge Gets Engaged: A Report from the Customer Connections Conference

9 Min Read
Big Data and Rise of Predictive Analytics
AnalyticsBest PracticesBig DataBusiness IntelligenceCRMData ManagementData WarehousingInside CompaniesITMarket ResearchMarketingPolicy and GovernancePredictive AnalyticsSocial DataSocial Media AnalyticsSoftwareWeb Analytics

Big Data and Rise of Predictive Analytics

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 chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?