Viral Marketing – Is it about people, ideas or context?

Is the tipping point toast? This is the title of a rather interesting article on fastcompany magazine.

There is a lot of thinking and research going on in order to find out, what will trigger a viral (marketing) explosion of any sort. Is it the people, the context or the actual idea? Or would it be a mixture of all? Most people will have read Malcolm Gladwells „Tipping Point“ or similar literature. In his book, all three are important, yet most marketers have started to focus too narrowly on the people part of the equation.

Now Gareth points me to an article to that article on fast company magazine. And it seems from this work that the ‚who‘ is not really what matters; instead it’s the context and, most importantly, the idea itself that matters the most when it comes to the spread of new things. Like in a forrest fire, where nobody would expect the person causing it to be highly influential or the match extremely flammable. Instead it is crystal clear that the forrest was ready for it…

„If society is ready to embrace a trend, almost anyone can start one–and if it isn’t, then almost no one can,“ Watts concludes. To succeed with a new product, it’s less a matter of finding the perfect hipster to infect and more a matter of gauging the public’s mood. Sure, there’ll always be a first mover in a trend. But since she generally stumbles into that role by chance, she is, in Watts’s terminology, an „accidental Influential.“

Perhaps the problem with viral marketing is that the disease metaphor is misleading. Watts thinks trends are more like forest fires: There are thousands a year, but only a few become roaring monsters. That’s because in those rare situations, the landscape was ripe: sparse rain, dry woods, badly equipped fire departments. If these conditions exist, any old match will do. „And nobody,“ Watts says wryly, „will go around talking about the exceptional properties of the spark that started the fire.“

Duncan Watts, the originator of this not really new, yet still untrendy thought (I guess the context still isn’t right), calculated this with computer models:

That may be oversimplifying it a bit, but last year, Watts decided to put the whole idea to the test by building another Sims-like computer simulation. He programmed a group of 10,000 people, all governed by a few simple interpersonal rules. Each was able to communicate with anyone nearby. With every contact, each had a small probability of „infecting“ another. And each person also paid attention to what was happening around him: If lots of other people were adopting a trend, he would be more likely to join, and vice versa. The „people“ in the virtual society had varying amounts of sociability–some were more connected than others. Watts designated the top 10% most-connected as Influentials; they could affect four times as many people as the average Joe. In essence, it was a virtual society

So, a computer model, a rather static even, I would assume, is behind this? Not sure if I want to really believe in the validity of this approach. But hey, I am a marketer – and it says in the article that us marketers are amongst the heaviest doubters of this research.

Mind you, Watts does agree that some people are more instrumental than others. He simply doesn’t think it’s possible to will a trend into existence by recruiting highly social people. The network effects in society, he argues, are too complex–too weird and unpredictable–to work that way. If it were just a matter of tipping the crucial first adopters, why can’t most companies do it reliably?

True, damn it, very true. I wish there would be a reliable mechanism, of course I do. We do try to design built viral campaigns along the learnings of past campaigns, because that is the only thing we have.

As Watts points out, viral thinkers analyze trends after they’ve broken out. „They start with an existing trend, like Hush Puppies, and they go backward until they’ve identified the people who did it first, and then they go, ‚Okay, these are the Influentials!'“ But who’s to say those aren’t just Watts’s accidental Influentials, random smokers who walked, unwittingly, into a dry forest? East Village hipsters were wearing lots of cool things in the fall of 1994. But, as Watts wondered, why did only Hush Puppies take off? Why didn’t their other clothing choices reach a tipping point too?

What you can do, and that is part of the conclusion of that article, is to offer a mechanism to spread your ideas to every single person who might actually be able to send it on to at least one other person. Doesn’t sound like a great strategy, but if your goal is maximum spread, why focus only on so called influencers – i.e. focus too narrow. Spread to everyone, as far and wide as your own resources allow you to. Start with the people you consider influencers, granted – you have to start somewhere, but once you’re done with those, include everyone else, too.

Links & News, 28.10.07

Web 2.0 user statistics from Germany

Some interesting facts for my German readers: There is a new research published by TNS Infratest about about the users of web 2.0 offers. According to this research the senders or creators of content are still amongst the younger audience, while the recipients and content consumers are amongst all age groups:

Während etwa ein Drittel (33 Prozent) der Verfasser von Beiträgen [von Wikipedia] unter 20 Jahren sind, liegt der Anteil der Leser, die 30 Jahre und älter sind, bei 65 Prozent.

Also with blogs we need to differentiate:

Hier sind 41 Prozent der Personen mit einem eigenen Blog unter 20 Jahre alt. Die Blog-Leser hingegen sind deutlich älter, bereits 35 Prozent sind über 40 Jahre alt, nur 20 Prozent sind unter 20 Jahren. „Das heißt, Blogs werden zwar auch von Gleichaltrigen gelesen aber gleichzeitig scheinen sie auch für Personen interessant zu sein, die nicht direkt in der Altersgruppe des Blog-Besitzers zu finden sind. Dennoch sind aber auch Erwachsene unter den Blog-Schreibern: Immerhin ein Viertel aller Blog-Besitzer sind über 40 Jahren“

Notable is also the difference of topics chosen by men and women:

Am häufigsten werden Weblogs als persönliches Tagebuch genutzt (61 Prozent), aber auch konkrete Inhalte wie Reise & Urlaub (30 Prozent) und Wissen & Lernen (24 Prozent) werden von den Bloggern thematisiert. Frauen nutzen ihren Blog häufiger als persönliches Tagebuch (76 Prozent der Blog-Besitzerinnen). Männer behandeln eher konkrete Themen, wie Computer & Software und Nachrichten & Politik. Die Themengebiete Wissen & Lernen und Reise & Urlaub sind bei beiden Geschlechtern in gleichem Maße beliebt (jeweils ca. 30 Prozent der Blog-Besitzer).

Here you can find a PDF with some (very few) Charts.

Why it could make sense for Amazon to send users away with ads

Read/writeweb has an interesting observation. Apparently Amazon has started to place ads on their site that lead to products in shops on completely different sites. Some ads are contextual, others are not. And Alex asks, why on earth Amazon would do something like that, i.e. sending people out of their shop to go somewhere else?

Here are a few thoughts why it might make sense:

  1. People might remember that they found what they were looking for when visiting the amazon site. Sort of like Google whose tools are all more or less designed to send people away. AFTER they found what they were looking for.
  2. Amazon should know the parts of the site where they are loosing the most users anyway, simply because of natural drop out rates that always occur on sites. This way, they can at least earn some money with people who would never have purchased anything in the first place, too. Question is: would they also integrate the banners on pages with well-selling products?
  3. Learning about the click behaviour for products that amazon doesn’t list, is really clever (and paid for) market research into the gaps of their product offering.
  4. Who says, that margins of products sold are always better than advertising revenue. Most of the web 2.0 sites base their business model on advertising revenue rather than actual products. Amazon can probably offer a good, if not the best, targeting based on their recommendation engine. Does anyone know what they charge per click or per CPM? I bet it’s dearer than most sites you can put your ads on. (And it should well be worth the money!)

These are just four thoughts that immediately came into my mind, why it could possibly make sense for amazon to start placing ads on their site. Any other ideas, anyone?