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: Book Review: Social Media Analytics by Marshall Sponder
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 > Social Data > Book Review: Social Media Analytics by Marshall Sponder
AnalyticsBook ReviewSocial Data

Book Review: Social Media Analytics by Marshall Sponder

Jennifer Roberts
Jennifer Roberts
4 Min Read
Book Review: Social Media Analytics by Marshall Sponder
Photo by cyberco on Pixabay (https://pixabay.com/photos/digital-marketing-content-strategy-10174516/)
SHARE

I haven’t done a book review since I was in Mrs. Parson’s 5th grade class but Marshall asked me to read over the copy he sent. CI is in it,  so I thought Why not? Actually CI is only referenced very briefly so I think I can be pretty fair in my review.

Contents
  • Social Media – Where Do You Start
  • More to Listening Than Just Keyword Selection
  • Broad and Accurate Look at Social Media

Your copy will not have a coffee stain

Social Media – Where Do You Start

Whether you are beginning to use social media technology or attempting to set up a comprehensive monitoring system, it’s hard to know where to start. Social Media Analytics provides an excellent review of the dominant platforms, like Twitter and Facebook and a review of some of the leading monitoring packages, including their short-comings. What I really liked about the book was the the time spent on the scorecard, which is essentially a set of key metrics that an organization can monitor as part of their social media monitoring strategy. Most importantly was that the scorecard contained indicators from across the enterprise and was not solely a social media monitoring tool.

Marshall spends a fair bit of time defining influence and influencers and some tools for measuring and monitoring key members of your audience. The case studies are excellent and provide an important tactical view into rigor that is required to create and manage a successful social media monitoring strategy. I also like his introduction of “ultra-violet data”, defined as data we can’t see but it’s all around us. (You’ll have to read the book to get more detail.)

More to Listening Than Just Keyword Selection

Sometimes it seemed that Marshall explained the short-comings of keyword-based monitoring tools as those shard by the rest of the monitoring technologies out there. For example, an issue specific to keyword based monitoring tools is that they have a query-length limitation and it is described as common amongst Listening platforms. Other monitoring tools, like ours, have their own types of restrictions. One of the reasons we built our technology using latent semantic analysis is because keyword queries become brittle as more and more Boolean expressions are added to include or exclude content on the basis of keyword matching only.

More Read

The Fascinating Role of Predictive Analytics in CMS Today
The Fascinating Role of Predictive Analytics in CMS Today
Why Social Media Analysis is Crucial for the Chinese Market
3 Reasons How Big Data is Improving the Consumer Experience
It’s Time for a New Definition of Big Data
How Big Data Enables Hyper-Local Real-Time Weather Forecasting

Broad and Accurate Look at Social Media

I thought the book covered a tremendous amount of information in a way that made it easy to digest and implement. Social media use and monitoring is definitely an evolving space and Marshall does a great job of both reviewing current trends but also emphasizing the need to bring social fully into the enterprise from a measurement perspective.

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

Follow us on Facebook

Latest News

Flat editorial illustration: The article connects duplicate and decayed CRM records to distorted attribution; a SaaS-editorial sc
Your Attribution Model Is Fine. Your CRM Is Lying to It
Business Intelligence Exclusive
Flat editorial illustration: The article is about replacing informal co-located management with deliberate asynchronous workflows
Managing a Software Development Dedicated Team Across Time Zones
Development Exclusive Software
Technical architecture diagram and decision framework for wikipedia editing services and ai training data: why llms still treat wikipedia as a source of truth
Wikipedia Editing Services and AI Training Data: Why LLMs Still Treat Wikipedia as a Source of Truth
Artificial Intelligence Exclusive
Flat editorial illustration: The article connects fragmented social-service records through shared pathways and selective informa
Turning Disconnected Information Data Into Better Social Service Outcomes
Big Data

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

How Habitat UK *should* have used Twitter
Data Mining

How Habitat UK *should* have used Twitter

4 Min Read
Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
AnalyticsExclusiveInfographic

Signals In The Noise: Using Media Monitoring To Manage Negative Publicity

5 Min Read
Data Analytics and Social Media: Twin Pillars in the Evolution of Business
Analytics

Data Analytics and Social Media: Twin Pillars in the Evolution of Business

8 Min Read
Social Data – Understanding the Context and the Audience
AnalyticsData MiningData QualitySocial Data

Social Data – Understanding the Context and the Audience

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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
ai chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive

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?