Dive into the archives.
- The Viral Preferences of Twitter Users
You have a Twitter account, and you’re following some people. Some of those people are now following you back and you’re thinking “great, now what?” Or maybe you saw my Viral Tweet Test and are wondering how to accomplish the same effect for your content.
In my Viral Content Sharing Survey I uncovered a bunch of information that could prove useful to you if you’re trying to go viral via Twitter.
First, understand that as gregarious…
- ProtoViral: A Contagious WordPress Theme
Over the past year or so I’ve been doing research into the why and how of web content “going viral,” from my Link Attraction Factors report (with the accompanying tools, API, and plugin) to my Viral Content Sharing Survey report. I’ve also taken this behavioral data and distilled it into more actionable items like a viral marketing checklist, viral seeding requirements, and of course the 10 symptoms of highly viral WordPress themes.
Out…
- 9 Scientific Ways to Make Every Post More Contagious
I’ve spent the last year or so doing research into the history, sociology, statistics, psychology and mathematics of information sharing (many of the posts I’ve done about this stuff are over in my sidebar under “Protoviral”). I’ve found a number of reccuring elements across areas of study, so here are some of the bits I’ve learned that you…
- When Viral Marketing Attacks: 9 Epic Viral Fails
Viral Marketing is a tricky thing, and like fire and government it is powerful servant but a fearful master. While companies scramble to “go viral” and produce the next overnight web sensation, the road is fraught with danger and the…
- Analytics for Social & Viral Marketing
Social and viral marketing are all about knowing your audience, especially that most infectious segment of your target that you’re considering your seed vector, and the best way to learn about them is through analytics. I’ve been thinking about analytics for viral marketing for a few days and then I saw a post on Social Media Explorer about analytics for bloggers, which sparked me to write this post. There are 3 stages of usage for analytics in…
- Viral Marketing Campaign Checklist
Once you’ve decided you’d like to create a viral marketing campaign, its easy to become too focused on the details, and miss the forest for the trees, but a good campaign is the integration of a lot of parts. Here’s a quick checklist to make sure you haven’t missed anything.
Goals Have you defined your campaign’s goals? Do you know what you’re trying to do (in an actionable and quantifiable way) and have you identified the metrics you…
- My Viral Marketing Glossary
I put together a glossary of social and viral marketing terms because when writing I often find myself using terms and building on concepts that everyone might not be aware of (or use the same definition I’m working with).
So go check it out, and let me know if you have any term addition or definition edit suggestions.
And a bunch of people helped me out with this including (but not limited to, if I forgot you, drop me a line and I’ll…
- Viral Content Sharing Survey Report
Finally, after sneak peeks and status updates, the report is done.
Its a study of why and how people share content online and it explores content type preferences, sharing methods, motivations, reach and frequency.
You can check out the table of contents here.
If you like the report, don’t forget to follow me on Twitter.
Here’s a few more sneak…
- Multivariate Transmission Rates Part 2
Yesterday I posted on the first of two variables in my proposed multivariate transmission rate formula, expression rate (how many people a seed exposes to a meme) and assimilation rate (how many people exposed to that meme turn into seeds themselves). Today I want to look at two more aspects: multiple exposure assimilation and assimilation threshold.
Multiple exposures to certain memes may increase that meme’s assimilation rate. Just…
- Multivariate Transmission Rates Part 1
The concept of a reproduction or transmission rate comes from epidemiology. It is the average number of new infections a person infected with a disease will cause. If this number is over 1 the infected population will grow, if it is below one they will shrink in the long term. It assumes a 0% immunity rate in the general population, meaning everyone exposed to the pathogen will become an infectious case themselves.
In memetics and viral…
