word-of-mouth marketing
Customer Service – A Chance for Redemption
In a very tough economy, keeping customers happy should have more considerable weight and attention from companies. I had a negative customer experience recently at Home Depot, where they had a chance to redeem themselves from a very poor customer experience.
In a very tough economy, keeping customers happy should have more considerable weight and attention from companies. I had a negative customer experience recently at Home Depot, where they had a chance to redeem themselves from a very poor customer experience.
My Experience with Twitter, Part 4
A few weeks ago, I posted on my experience with Twitter, Part 1. That post was retweeted by Robert Scoble, the traffic came, got a bunch of new followers on Twitter (welcome folks), and a flurry of passionate comments on the post, including 3 comments from Guy Kawasaki.
Then, I posted on My Experience with Twitter, Part 2, followed by My Experience with Twitter, Part 3, where I offended @darthvader.
A few weeks ago, I posted on my experience with Twitter, Part 1. That post was retweeted by Robert Scoble, the traffic came, got a bunch of new followers on Twitter (welcome folks), and a flurry of passionate comments on the post, including 3 comments from Guy Kawasaki.
Then, I posted on My Experience with Twitter, Part 2, followed by My Experience with Twitter, Part 3, where I offended @darthvader.
How To Be A Human
I had an experience recently where I spoke with a group of friends and acquaintances about the economy and the existential despair that is all around us. Then, a friend said something that shocked me:
. . . it’s terrible that (company x) went through such a huge delayering
I had an experience recently where I spoke with a group of friends and acquaintances about the economy and the existential despair that is all around us. Then, a friend said something that shocked me:
. . . it’s terrible that (company x) went through such a huge delayering
My Experience with Twitter, Part 3
A few weeks ago, I posted on my experience with Twitter, Part 1. That post was retweeted by Robert Scoble, the traffic came, got a bunch of new followers on Twitter (welcome folks), and a flurry of passionate comments on the post, including 3 comments from Guy Kawasaki. Then, I posted on my experience with Twitter, Part 2. This post is Part 3, here is Part 4, in case you were interested. This post includes a quick analysis on the top-100 folks on twitter.
A few weeks ago, I posted on my experience with Twitter, Part 1. That post was retweeted by Robert Scoble, the traffic came, got a bunch of new followers on Twitter (welcome folks), and a flurry of passionate comments on the post, including 3 comments from Guy Kawasaki. Then, I posted on my experience with Twitter, Part 2. This post is Part 3, here is Part 4, in case you were interested. This post includes a quick analysis on the top-100 folks on twitter.
My Experience with Twitter, Part 2
Earlier this week, I posted on my experience with Twitter, Part 1. That post was retweeted by Robert Scoble, the traffic came, got a bunch of new followers on Twitter (welcome folks), and a flurry of passionate comments on the post, including 3 comments from Guy Kawasaki. Today, I’ll post my experience with Twitter, Part 2 and here are Part 3 and Part 4.
Earlier this week, I posted on my experience with Twitter, Part 1. That post was retweeted by Robert Scoble, the traffic came, got a bunch of new followers on Twitter (welcome folks), and a flurry of passionate comments on the post, including 3 comments from Guy Kawasaki. Today, I’ll post my experience with Twitter, Part 2 and here are Part 3 and Part 4.
My Experience with Twitter, Part 1
I’ve been on Twitter for 44 days now. In sum, I love Twitter: I find it to be a very helpful utility for both consuming information as well as for contributing to a conversation. But, I have some other observations too that I’d like to share in a series of posts. This is Part 1 of my observations on Twitter, and here are Part 2 and Part 3 and Part 4.
I’ve been on Twitter for 44 days now. In sum, I love Twitter: I find it to be a very helpful utility for both consuming information as well as for contributing to a conversation. But, I have some other observations too that I’d like to share in a series of posts. This is Part 1 of my observations on Twitter, and here are Part 2 and Part 3 and Part 4.
Twitter as Combinatorics
ver since I discovered Twitter, I’ve been amazed at @ev, @biz, and @jack’s idea of simplicity and usefulness. Lately, @windley (Phil Windley’s article), @monkchips, and JP have approached Twitter from a more theoretical perspective. This article is my contribution to that healthy conversation (this blog post will be followed by a short tweet, of course).
~~~~~~~~~~~~~~
~~~~~~~~~~~~~~
Customer Loyalty and Customer Satisfaction
If you buy from an online retailer this year, you will most likely receive an email communication about your purchase, probably showing something like:
- Item Bought, Quantity, Price, and Amount Charged to your Credit Card
- Date Shipped and Expected Arrival Time-Frame
All pretty basic, right? In fact, if the email only consisted of the above items and the product arrived within the expected time and in good condition, then you’d probably consider yourself a satisfied customer.
If you buy from an online retailer this year, you will most likely receive an email communication about your purchase, probably showing something like:
- Item Bought, Quantity, Price, and Amount Charged to your Credit Card
- Date Shipped and Expected Arrival Time-Frame
All pretty basic, right? In fact, if the email only consisted of the above items and the product arrived within the expected time and in good condition, then you’d probably consider yourself a satisfied customer.
How Twitter Solves Voter and Other Types of Information Asymetry
while ago, I wrote a post on how Digg is characterized by the principles of Game Theory. As it turns out, that post was Dugg to the front page of Digg and almost fried my server. Today, I want to briefly discuss something along the same lines of Behavioral Economics — how Twitter solves the problem of Information Asymetry.
A while ago, I wrote a post on how Digg is characterized by the principles of Game Theory. As it turns out, that post was Dugg to the front page of Digg and almost fried my server. Today, I want to briefly discuss something along the same lines of Behavioral Economics — how Twitter solves the problem of Information Asymetry.
Barack Obama on Linkedin — The Unwisdom of Crowds
I’m not really a person interested in politics, but I have to say that I like Barack Obama’ style. I don’t know much about his political beliefs or, really, any of the presidential candidates beliefs, but Obama’s style is pretty cool. He asked a question on Linkedin Answers and, so far, there are 1459 responses. This got my mind thinking: here we have a great example of crowd psychology — sometimes the Wisdom of Crowds is actually not that wise.
I’m not really a person interested in politics, but I have to say that I like Barack Obama’ style. I don’t know much about his political beliefs or, really, any of the presidential candidates beliefs, but Obama’s style is pretty cool. He asked a question on Linkedin Answers and, so far, there are 1459 responses. This got my mind thinking: here we have a great example of crowd psychology — sometimes the Wisdom of Crowds is actually not that wise.

