Project management: DrKPI Brand Buzz and Influence Analytics
Digital ad spend is growing rapidly.
Hence, companies want to measure brand buzz.
We decided to meet face-to-face to discuss our new products that help online advertisers.
Analytics
Sample bias
Sample error
parametric statistics vs. non-parametric statistics
qualitative and quantitative analysis
Fake reviews? Lessons from Brexit
Do firms break the law by posting disparaging reviews of their rivals?
Is offering influencers money to boost their rankings ok?
What has the Brexit aftermath in common with online commerce?
Influence marketing experts’ top secrets
Whilst celebs are out, social media stars are in.
But what metrics can tell us if influence marketing works?
This entry shows influence peddling works quite well, if measured properly.
Drinking Red Bull boosts job performance
Sleep at least 7 hours a night.
Will this help improve my performance?
Can you trust the numbers?
How to make good guesses and win the game.
Yes Virginia, pollsters really are wrong
The right sample size matters.
Can you trust the numbers?
Are those that will likely vote participating in our poll?
6 EASY ways to check if the pollsters’ numbers add up !
Business analytics: 3 trends for 2016
Is it about deception or insight?
The difference between is fluid. But cheap research rarely provides insight.
Here is a checklist that helps avoid the 3 biggest mistakes.
Opinion poll: 5 things RAF taught Migros
Poll data helped David Cameron to get support, BUT
Migros and other retailers should learn from such research.
Much is claimed from data that was collected following questionable methods.
Epic fail: Video view fraud detection
Google charges advertisers for ads on YouTube viewed by robots, i.e. those by bots that mimic the behavior of internet users.
Check out what Sir Martin Sorrell WPP has to say about the matter.
Download our checklist for advertisers!
Read more
Facebook, viral marketing or #wef15 – why benchmark ?
Benchmarks can make your life easier. Using them, guides you when making decisions about various choices, such as:
1. take Klaus Schwab up on his invitation to join WEF 2015 at Davos,
2. spend time and money on a viral, buzz or word-of-mouth marketing campaign, or
3. improve one’s love life by using Facebook?
Click on title to read more and view the slides.
A cost-benefit analysis guided by a social media audit helps your bottom line!
Data analytics: Lessons learned from Ebola
In the battle against deadly diseases, mobile phones could be invaluable because of the data they generate.
In fact, if we had listened to these data, we could have saved lives.
To avoid this tragic mistake next time an epidemic hits, we must overcome 3 hurdles quickly.
Help us save lives!