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
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
    pexels pavel danilyuk 8112119
    Data Analytics Is Revolutionizing Medical Credentialing
    8 Min Read
    data and seo
    Maximize SEO Success with Powerful Data Analytics Insights
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: “MySpace is the Bar, Facebook the Backyard BBQ, and LinkedIn the Office”
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > “MySpace is the Bar, Facebook the Backyard BBQ, and LinkedIn the Office”
Uncategorized

“MySpace is the Bar, Facebook the Backyard BBQ, and LinkedIn the Office”

TomAnderson
TomAnderson
4 Min Read
SHARE

Posting a brief follow up to yesterdays post.

Just got back from the MRANE event. Right after my talk which ended on some of the work we’ve been doing with Social Network Research, John from LinkedIn spoke about using  LinkedIn for B-B Sample. He mentioned how LinkedIn sample has helped their clients “cut down on the sample sizes through micro targeting”.

I thought this was rather interesting. Depending on the client, very little is known about sample size. I have clients who are perfectly happy with n=250, and some that want n=2500 for the same type of project. Many companies usually have no problems with selling more sample and charging more. I prefer to add value in design and analysis.

More Read

The rest of the story…
A Uniquely Cincinnati Alternate Use Case
Can’t Buy Me Friends
Beyond the Jedi Mind Trick: Using Data Analytics to Link Star Wars Roles to Acting Career Success
Predictive Analytics Interview Series: Viswanath Srikanth of Cisco

LinkedIn however is also very careful about sample size, because they don’t want to spam their user base with surveys. Better to sell less sample with higher margins right.

Many marketers are used to working with larger sample sizes than they need, building the sampling lan from top up rather than bottom down. LinkedIn asks clients to stop and think about it for a moment. The client is going to get to talk with VP’s at 1,000 large companies. Do they really need 1,000? According to John, some clients…

Posting a brief follow up to yesterdays post.

Just got back from the MRANE event. Right after my talk which ended on some of the work we’ve been doing with Social Network Research, John from LinkedIn spoke about using  LinkedIn for B-B Sample. He mentioned how LinkedIn sample has helped their clients “cut down on the sample sizes through micro targeting”.

I thought this was rather interesting. Depending on the client, very little is known about sample size. I have clients who are perfectly happy with n=250, and some that want n=2500 for the same type of project. Many companies usually have no problems with selling more sample and charging more. I prefer to add value in design and analysis.

LinkedIn however is also very careful about sample size, because they don’t want to spam their user base with surveys. Better to sell less sample with higher margins right.

Many marketers are used to working with larger sample sizes than they need, building the sampling lan from top up rather than bottom down. LinkedIn asks clients to stop and think about it for a moment. The client is going to get to talk with VP’s at 1,000 large companies. Do they really need 1,000? According to John, some clients are accustomed to purge as much as 30% of the sample as bad (speeders etc.). While this %age sounds a little extreme to me, I do agree, that sample sizes are sometimes bigger than they actually need to be. If the client can be assured that the sample is of high quality, this may be an easier argument for smaller sample sizes than a statistical or even a cost argument.

Finally, one other thing I found interesting from John’s talk was how LinkedIn views themselves vis-à-vis the other networks (MySpace and Facebook). They see “MySpace as the Bar, LinkedIn as the Office, and Facebook as the Backyard BBQ”. Interesting way of looking at it. We’re currently doing quite a bit of research on social media. I’ll check with some of my contacts at MySpace and Facebook to see if they have similar ways of thinking about the competition?

Tom 


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

TAGGED:market researchsocial mediasocial network analysis
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

image fx (2)
Monitoring Data Without Turning into Big Brother
Big Data Exclusive
image fx (71)
The Power of AI for Personalization in Email
Artificial Intelligence Exclusive Marketing
image fx (67)
Improving LinkedIn Ad Strategies with Data Analytics
Analytics Big Data Exclusive Software
big data and remote work
Data Helps Speech-Language Pathologists Deliver Better Results
Analytics Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Market Research Bad Practice: If It Ain’t Illegal, It’s All Good

2 Min Read

Sneak Peak of Largest Ever MR Survey

4 Min Read
use ai to get the most out of your social media strategy
Social Media Analytics

Use AI to Get the Most Out of Your Social Media Marketing Strategy

6 Min Read

Building a Knowledge Hub

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 is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

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?