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: What Social Networks Can Learn from Travel Industry Loyalty Programs
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > CRM > What Social Networks Can Learn from Travel Industry Loyalty Programs
Business IntelligenceCRMData MiningPredictive Analytics

What Social Networks Can Learn from Travel Industry Loyalty Programs

TomAnderson
TomAnderson
5 Min Read
SHARE

Another Reason Twitter is Gaining in Popularity

Looking through some of my followers on Twitter and deciding who to follow today made me think of another reason why twitter seems to be doing so well. While Facebook and LinkedIn have thresholds in place to flag “users” who accumulate too many friends and connections too quickly. Twitter seems to encourage the accumulation of many followers. Several applications rank Twitterers by number of followers or ratio of followers to following. Why is this important? Because many of the best users will have a competitive nature, and number of “connections”, “friends”, “followers” or whatever you call it is the ultimate social currency. Guy Kawasaki with 80,000 followers is one of many Twitter super-users who have become “Evangelists” for Twitter.

Some may argue, why is that you need to follow 10,000+ people, it’s impossible to actually read/use that many tweets/connections or whatever you call it. That doesn’t matter. Looking now at a totally different industry, the hospitality/leisure industry, which my company has done a lot of consulting for, we find exactly the same motivation with loyalty programs. The best customers in this industry, “th…

More Read

The Scourge of Data Silos
EDM Summit – some closing thoughts
Perfect Information Doesn’t Equal Perfect Predictions
Final Analytics Post: Soccer World Cup 2010!
Business Rules Forum

Another Reason Twitter is Gaining in Popularity

Looking through some of my followers on Twitter and deciding who to follow today made me think of another reason why twitter seems to be doing so well. While Facebook and LinkedIn have thresholds in place to flag “users” who accumulate too many friends and connections too quickly. Twitter seems to encourage the accumulation of many followers. Several applications rank Twitterers by number of followers or ratio of followers to following. Why is this important? Because many of the best users will have a competitive nature, and number of “connections”, “friends”, “followers” or whatever you call it is the ultimate social currency. Guy Kawasaki with 80,000 followers is one of many Twitter super-users who have become “Evangelists” for Twitter.

Some may argue, why is that you need to follow 10,000+ people, it’s impossible to actually read/use that many tweets/connections or whatever you call it. That doesn’t matter. Looking now at a totally different industry, the hospitality/leisure industry, which my company has done a lot of consulting for, we find exactly the same motivation with loyalty programs. The best customers in this industry, “the road warriors”, exhibit strangely similar behavior in that they will try to accumulate “Double Diamond Level”, “Platinum VIP Level” or whatever the top level is called in a specific car rental, airline or hotel brand, and then once they have gotten to the top they will switch and start trying to accumulate a top ranking at another brand. If higher levels were available at a specific hospitality brand, this switch would likely be postponed. But it seems strange for companies to create a “Triple Diamond Platinum VIP level III” category.

From a common sense perspective this may not make perfect sense. After all, once you’ve gotten to the highest loyalty level in a program why not enjoy all the benefits it has to offer. Typically these road warriors are consultants and orporations are paying for the travel. Significant points at the premiere loyalty level will guarantee these travelers free vacations for themselves and their families for quite some time. But no, the points, and the levels are even more important than the actual real benefits.

This need for continuous competition is something even companies in the leisure industry have a hard time understanding and taking advantage of. But social networks, other than twitter, are obviously  even further behind in this regard. Instead they currently punish rather than reward their heaviest users.

PS.

If you’re also on Twitter feel free to follow me.

Link to original postTom H. C. Anderson – Anderson Analytics

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data migration risk prevention
Best Approach to Risk Management for Data Migration in Data-Driven Businesses
Big Data Data Management Exclusive Risk Management
AI in branding
How Data Analytics and Data Mining Strengthen Brand Identity Services
Big Data Exclusive
Hidden AI, a risk?
Hidden AI, Real Risk: A Governance Roadmap For Mid-Market Organizations
Artificial Intelligence Exclusive Infographic
unusual trading activity
Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
Analytics Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

The Global Billboard Advertising Statistics and Dynamics

5 Min Read

Hadoop pushes, pulls Big Data analytics into mainstream (Part Two)

8 Min Read

“Political prediction markets — in which participants buy and sell “contracts”…”

1 Min Read

2009 – a promising year?

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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
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?