Social media
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Wat is er niet duidelijk aan: “Wij zijn de 99%”? — Sanne Roemen
Niets? Natuurlijk is er van alles “mis” met deze beweging. Natuurlijk lopen er sufkikkers rond die achter een meute aan hobbelen en geen idee hebben waar het over gaat, of die gewoon willen genieten van live muziek en een feestje, of die een kapstok zoeken om hun stokpaarden aan op te hangen, of mensen die op rellen uit zijn. Het is alleen kortzichtig en dom om deze mensen als “het gezicht van…” te bestempelen.
Over the past several months there has been a rise in the demand for monitoring content, and startups have responded by creating browser-based user-interfaces that collate data from various sites – and it is up for the user to pick and choose , to be the “ curator ” of their online space [i.e Pearltrees , Paper.li ]. The change of focus from content production to organization is no coincidence: social content has been toeing the line between value and spam for quite some time. By liberating content selection / visibility from the hands of monopolized search engines, more ideas will be heard: not just “any” ideas, but the right ideas. According to Forrester Research, “having masses of random followers is a problem…only about 16% of the total American online audience are considered Massive Influencers .”
Massive Influencers: Social Media 3.0
By admin - Thursday, June 11th, 2009 at 3:00 pm ShareThis Over the past five months, Twitter has seen tremendous growth and, in the process, attracted a huge amount of media and blog coverage. To quantify this growth, Sysomos decided to conduct a study that involved collecting information from 11.5 million Twitter accounts. We believe it’s the most extensive look at Twitter ever done, offering in-depth insight into Twitter’s growth and how people use it. • More than 50% of all updates are published using tools – mobile and Web-based – other than Twitter.com.
In-Depth Exploration of Twitter
David Martin, Vice President, Primary Research, Nielsen Online Oprah embarrassed herself on it with a stuck caps lock. That guy from Punk’d competed with “the most trusted name in news” for audience. A befuddled Jon Stewart shook his fist at it in anger. Let there be no doubt: Twitter has grown exponentially in the past few months with no small thanks to celebrity exposure.
Twitter low retention
Since my guest post on TechCrunch last fall, I’ve received frequent requests to update and expand upon my Twitter data analysis . As the Twitter API continues to improve, our ability to profile the company from the outside-looking-in becomes even stronger. I recently conducted an updated round of analysis and will be posting my findings in a series of posts here at The Metric System in the coming weeks.
Twitter KPIs
The full report
Summary Over the past few months, Twitter has experienced explosive growth, attracting celebrity users such as Oprah, and a growing mountain of media and blog coverage. Sysomos Inc., one of the world's leading social media analytics companies, conducted an extensive study to document Twitter's growth and how people are using it.
Do you have happy, smiling users? I've previously written a lot about metrics and user acquisition - just look at the left bar of this blog - but have not written much about metrics and user retention. By retention, I mean the process in which you convert new users who don't care about your site into recurring users that are loyal and continually drive pageviews. In general, I would say that more people care about this than pure user acquisition, which is great, but they are often using aggregate numbers to measure this retention. By aggregate data, I mean looking at an overall Google Analytics number, or looking at an Alexa rank, or some other rolled-up metric which doesn't differentiate between new users that are discovering your site for the first time versus loyal users that are returning to your site. In fact, in general I think of websites as "leaky buckets" where users are constantly getting poured into the top, and the site is constantly leaking users.
User retention
Virality limited by retention
Viral and Retention Excel Model (Click to download) That's what happens when you "jump the shark" and your app goes from successful to completely not successful. Why does this happens?