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
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: 5 Sure-Fire Ways to Use Analytics to Become a Social Business
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 > Sentiment Analytics > 5 Sure-Fire Ways to Use Analytics to Become a Social Business
AnalyticsSentiment AnalyticsSocial DataText Analytics

5 Sure-Fire Ways to Use Analytics to Become a Social Business

Brett Stupakevich
Brett Stupakevich
5 Min Read
SHARE

social media 300x202 photo (social network analysis social analytics hr analytics advanced analytics )Many executives see social media as another way to connect with customers and prospects.

social media 300x202 photo (social network analysis social analytics hr analytics advanced analytics )Many executives see social media as another way to connect with customers and prospects.

Indeed, most organizations have created social media accounts with Facebook, Twitter, and other social sites to help attract “fans” and “followers.” Some organizations even go so far as to engage customers and prospects with games, contests, challenges, and offers.

More Read

bpa software for data-driven businesses
Integrating BPM Software Into Your Data Strategy
Big Data, Unstructured Information Analysis is More Than Sentiment.
Using Data Analytics to Map eCommerce Customer Journeys
Unlocking Zip Code Insights with Data Analytics
The Global Nature of Big Data and Analytics

Still, many companies struggle to develop their social strategies and take advantage of the wide range of opportunities available to them to connect more deeply with customers while attracting high-value prospects.

One very effective way to break through this muddle is by leveraging the vast capabilities of analytics tools and techniques to gain a better understanding of customers’ needs, preferences, and attitudes and to identify social engagement and marketing opportunities. Here are five ways companies can use analytics to become socially savvy:

  1. Listen. Use social and sentiment analytics to identify and act on customers’ socially-expressed attitudes. Doing this will enable companies to gain a deeper understanding of what customers and prospects want. This includes using social and sentiment analytics along with keyword search techniques to help identify demand for new types of products, better support or customized experiences.
  2. Develop a social organization. A social company needs to behave socially, both internally and externally, with customers and business partners. In addition to encouraging the use of social media by staff, decision makers can use HR analytics to help identify those employees who have the right mix of social media and communications skills to engage with customers and suppliers via social channels.
  3. Identify what matters most to customers. Companies can and should use sentiment analytics to identify what matters most to customers (e.g. product quality, customer service resolution) as customers often freely express their opinions and attitudes in surveys and on social media sites. Companies should act on these insights to address customer needs and preferences. But they should also communicate back to customers via social channels to let them know how their feedback has been incorporated to demonstrate that their opinions matter to the company.
  4. Use analytics to understand how customers use social sites. Customers primarily use social channels to engage with friends and relatives. But they are increasingly using social web sites to participate in games and contests and to take advantage of offers and specials. Companies can use analytics to gain a better understanding of how customers use social web sites in order to optimize the content and navigability for them.
  5. Identify the top influencers for your brand and company and then act on this information. Much has been written about the importance of top influencers in social media. Still, it’s important for decision makers to recognize that the people their customers consider the most influential aren’t going to be industry pundits or social media experts, but people within their own immediate spheres of influence, including friends and family.

Next steps:

  • Subscribe to our blog to stay up to date on the insights and trends in HR and CRM analytics.
  • To learn more about how analytics can improve your business and increase your bottom line check out these complimentary guides:
    • “5-Minute Guide to Business Analytics” to find out how user-driven “analytic” or “data discovery” technologies help business and technology users more quickly uncover insights and speed action.
    • “5-Minute Guide to HR Analytics,” to discover the three critical capabilities a modern analytic environment must provide to the entire spectrum of HR staff so they can adequately support the enterprise.
    • “5-Minute Guide to CRM Analytics,” to learn how agile analytics technology can help you deliver critical value to executives and front-line marketers.

 

 

 

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai driven task management
Reducing “Work About Work” with AI Task Managers
Artificial Intelligence Exclusive
data center uptime
Why Rodent-Resistant Conduits Are Critical for Data Center Uptime
Big Data Data Management Exclusive Risk Management
big data and AI
The Intersection of Big Data and AI in Project Management
Artificial Intelligence Big Data Exclusive
data migration risk prevention
Best Approach to Risk Management for Data Migration in Data-Driven Businesses
Big Data Data Management Exclusive Risk Management

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

data analytics for alzheimer's research
AnalyticsBig DataExclusive

Data Analytics is a Huge Boon for Alzheimer’s Disease Research

10 Min Read

SAS formally announces integration with R in SAS/IML Studio

1 Min Read
Image
AnalyticsBig DataBusiness IntelligenceData MiningData VisualizationData WarehousingHadoopITMapReduceOpen SourcePredictive AnalyticsSentiment AnalyticsSocial DataSoftwareSQLWorkforce Data

7 Ways Businesses are Leveraging Hadoop

5 Min Read

Marketing Metrics HR Vendors Will Soon Be Paying a Lot of Attention To

6 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
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

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?