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
    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
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Social Media Analytics – Understanding Your Social Customer and Context
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 Media Analytics – Understanding Your Social Customer and Context
Business IntelligenceData Mining

Social Media Analytics – Understanding Your Social Customer and Context

Jennifer Roberts
Jennifer Roberts
5 Min Read
SHARE

Sometimes when organizations begin to consider using social media to engage with their customers or as a measurement tool for better understanding their customers, they can be a little uncertain of how or where to begin.  There are so many different social media platforms and for many large scale organization the volume of social media data can appear quite unmanageable.  We recommend analyzing social media conversations in an effort to establish a starting point of what your customer is saying and where.  This type of analysis can form a baseline of key indicators, including

Contents
  • Building a Foundation of Customer Social Insights
  • Understanding Your Company’s Social Media Landscape

Sometimes when organizations begin to consider using social media to engage with their customers or as a measurement tool for better understanding their customers, they can be a little uncertain of how or where to begin.  There are so many different social media platforms and for many large scale organization the volume of social media data can appear quite unmanageable.  We recommend analyzing social media conversations in an effort to establish a starting point of what your customer is saying and where.  This type of analysis can form a baseline of key indicators, including:

  • sentiment
  • activity
  • audience segmentation
  • demographics
  • social landscape context elements

Additionally, this type of research allows companies to gain a view into the social landscape of their customers by providing a contextual view into how their company or brand is perceived.  By itself, forming clear insight into your social customer is critical but by extending that same rigor of analysis to reveal the social landscape in which your organization exists can allow for much more valuable and sophisticated customer engagements.

Building a Foundation of Customer Social Insights

We worked with a a leading technology company that wanted to gain a broad and comprehensive understanding of their company’s products and their key competitors within the social landscape.  The purpose was to create a baseline of reporting that would be used for ongoing trend analysis and inform both marketing and customer service initiatives.

More Read

Time to Take the Rexer Analytics Data Miner Survey!
A Tale of Two Seas
Gartner Trends Report Paints a Bright Future for BI
Right Time Business Optimization
Preview of Project Gemini

CI analyzed over a half million posts a month related to the company, its products and key competitors.  We created a set of key indicators, including:

  • Share of voice
  • Sentiment drivers
  • Customer service values
  • Competitor service values

CI has standardized an effective report called, Brand and Category Tracking, that creates a set of benchmarks around key measures. This valuable tool provides reference points and baseline data to allow for ongoing analysis and program evaluation. In subsequent reports we have monitored changes to the baseline data, noting important variations that informed some short-term marketing and customer service initiatives, including:

  • Engaging key influencers that were posting online solutions to software issues
  • Develop a new set of competitive strategies based on  negative sentiment differentiators
  • Reassess customer service priorities

Understanding Your Company’s Social Media Landscape

Customers can be referencing and commenting about your company, your products and brand within a number of different contexts.  Not only do companies need to have a more sophisticated view into their social customer but also the social network in which their products or services are being discussed, evaluated and referenced. This social landscape may cross industries, interests and categories. Remember this is not necessarily about measuring the effectiveness of your company’s outreach effort but rather its about appreciating and valuing the environment in which your customers are engaging.

For over a year, we applied our Listening Category Reporting methodology to the study of a large technology brand’s presence across numerous categories. The purpose of the study was to apply social media analytics to better understand the landscape of the category so that customer values and insights could be integrated into brand, product or message positioning. CI examined conversational themes and influential author postings to help contextualize those conversations within this company’s social network, which extended beyond restrictive brand analysis .

TAGGED:social media analytics
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Diverse Research Datasets
The 5 Best Platforms Offering the Most Diverse Research Datasets in 2026
Big Data Exclusive
macro intelligence and ai
How Permutable AI is Advancing Macro Intelligence for Complex Global Markets
Artificial Intelligence Exclusive
warehouse accidents
Data Analytics and the Future of Warehouse Safety
Analytics Commentary Exclusive
stock investing and data analytics
How Data Analytics Supports Smarter Stock Trading Strategies
Analytics Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

How Habitat UK *should* have used Twitter

4 Min Read
leveraging social data for ROI
AnalyticsBig DataExclusiveSocial DataSocial mediaSocial Media Analytics

Measuring Social Media ROI: Leveraging Data To Boost Results

19 Min Read
data-drive marketing tactics
Big DataExclusiveMarketingSocial Media Analytics

Integrating Data-Driven Network Marketing And Social Media In 2019

8 Min Read
social data analytics
Social Media Analytics

4 Amazing Time Saving Analytics Tools For Social Media Marketing

9 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 in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

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?