Tag Archive for 'poll'

Facebook is doing what Google did: enabling

The hype surrounding the Facebook platform has created a frenzy of hype - on it being a closed wall, on privacy and the right to users having control of their data, and of course the monetisation opportunities of the applications themselves (which on the whole, appear futile but that will change).

We've heard of applications becoming targeted, with one (rumoured) for $3 million - and it has proved applications are an excellent way to acquire users and generate leads to your off-Facebook website & products. We've also seen applications desperately trying to monetise their products, by putting Google Ads on the homepage of the application, which are probably just as effective as giving a steak to a vegetarian. The other day however was the first instance where I have seen a monetisation strategy by an application that genuinely looked possible.

It's this application called Compare Friends, where you essentially compare two friends on a question (who's nicer, who has better hair, who would you rather sleep with...). The aggregate of responses from your friends who have compared you, can indicate how a person sits in a social network. For example, I am most dateable in my network, and one of the people with prettiest eyes (oh shucks guys!).

The other day, I was given an option to access the premium service - which essentially analyses your friends' responses.

compare sub

It occurred to me that monetisation strategies for the Facebook platform are possible beyond whacking Google Adsense on the application homepage. Valuable data can be collected by an application, such as what your friends think of you, and that can be turned into a useful service. Like above, they offer to tell you who is most likely to give you a good reference - that could be a useful thing. In the applications current iteration, I have no plans to pay 10 bucks for that data - but it does make you wonder that with time, more sophisticated services can be offered.

Facebook as the bastion of consumer insight

On a similar theme, I did an experiment a few months ago whereby I purchased a facebook poll, asking a certain demographic a serious question. The poll itself revealed some valuable data, as it gave me some more insight into the type of users of Facebook (following up from my original posting). However what it also revealed was the power of tapping into the crowd for a response so quickly.
clustered yes
Seeing the data come in by the minute as up to 200 people took the poll, as a marketer you could quickly gauge how people think about something in a statistically valid sample, in literally hours. You should read this posting discussing what I learned from the poll if you are interested.

It's difficult to predict the trends I am seeing, and what will become of Facebook because a lot could happen. However one thing is certain, is that right now, it is a highly effective vehicle for individuals to gain insight about themselves - and generating this information is something I think people will pay for if it proves useful. Furthermore, it is an excellent way for organisations to organise quick and effective market research to test a hypothesis.

The power of Facebook, for external entities, is that it gives access to controlled populations whereby valuable data can be gained. As the WSJ notes, the platform has now started to see some clever applications that realise this. Expect a lot more to come.

Facebook is doing what Google did for the industry

When Google listed, a commentator said this could launch a new golden age that would bring optimism not seen since the bubble days to this badly shaken industry. I reflected on that point he made to see if his prophesy would come true one day. In case you hadn't noticed, he was spot on!

When Google came, it did two big things for the industry

1) AdSense. Companies now had a revenue model - put some Google ads on your website in minutes. It was a cheap, effective advertising network that created an ecosystem. As of 30 June 2007, Google makes about 36% of their revenue from members in the Google network - meaning, non-Google websites. That's about $2.7 billion. Although we can't quantify how much their partners received - which could be anything from 20% to 70% (the $2.7 billion of course is Google's share) - it would be safe to say Google helped the web ecosystem generate an extra $1 billion. That's a lot of money!

2) Acquisitions. Google's cash meant that buyouts where an option, rather than IPO, as is what most start-ups aimed for in the bubble days. In fact, I would argue the whole web2.0 strategy for startups is to get acquired by Google. This has encouraged innovation, as all parties from entrepreneurs to VC's can make money from simply building features rather than actual businesses that have a positive cashflow. This innovation has a cumulative effect, as somewhere along the line, someone discovers an easy way to make money in ways others hadn't thought possible.

Google's starting to get stale now - but here comes Facebook to further add to the ecosystem. Their acquisition of a 'web-operating system' built by a guy considered to be the next Bill Gates shows that Facebook's growth is beyond a one hit wonder. The potential for the company to shake the industry is huge - for example, in advertising alone, they could roll out an advertising network that takes it a step further than contextual advertising as they actually have a full profile of 40 million people. This would make it the most efficient advertising system in the world. They could become the default login and identity system for people - no longer will you need to create an account for that pesky new site asking you to create an account. And as we are seeing currently, they enable a platform the helps other businesses generate business.

I've often heard people say that history will repeat itself - usually pointing to how 12 months ago Myspace was all the rage: Facebook is a fad, they will be replaced one day. I don't think so - Facebook is evolving, and more importantly is that it is improving the entire web ecosystem. Facebook, like Google, is a company that strengthens the web economy. I am probably going to hate them one day, just like how my once loved Google is starting to annoy me now. But thank God it exists - because it's enabling another generation of commerce that sees the sophistication of the web.

Understanding the Facebook poll feature

A little while ago, I was lucky to catch a Facebook poll, as a way of advertising its new poll feature. As a follow up from that experience, I thought I might purchase my own poll to validate its effectiveness. Here are a few of my observations:

1) Answers appear to be clustered

One of the interesting things about the poll feature, is that it is real time. You are getting answers as people vote. You select what type of people you want to target, and Facebook will then quiz users of that criteria by putting the poll on their homescreen. Something I noticed however, was that answers seemed to come in together followed by a gap. I also noticed that these answers that come in groups, usually have similar responses.
clustered yes

I appears that users are highly responsive to a poll. If it appears on their survey, a lot of people appear to answer it. I know this because I specifically targeted my poll to Australians, in the middle of the day when I wouldn't expect people to be using facebook.
The placing of the options seems to affect the results. I suppose anyone that has studied polling before, would probably know the order of a ballot heavily influences the poll. This appears evident here. Usefully however, Facebook allows you to randomise the poll so that different users see a different order. However as is demonstrated above, with this clustering, its groups of users that see a different order, not individuals

2) Facebook users appear to be more male, and younger
Something I noticed in my previous blog posting on the poll feature, was that there appeared to be more males answering. This seems to have happened occur with this poll as well, and indicates to me that Facebook's population of users have a higher male base - which is unusual given that women generally outnumber men in society.

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It should also be noted that there is no age groups option for people above 50 years old.

3) Takers of the poll appear to be a genuinely random population
The reason I picked 200 people, was that that is the minimum amount a poll needs to be before it can statistically be considered accurate to represent a population. However as I was able to obtain data as the poll was running, it gave me insight into how random (and representative) the population that took the test was.

Below is a screenshot half way through, as well as the final result

results half wayb

fcfb1b

The results for the poll are almost identical. Without reading too much into it, that tells me the conditions of the test were genuinely random.

There are a few other things I noticed, but this isn't me trying to promote a Facebook service, and will leave to make your own analysis in combination with the other Facebook poll I blogged about. I just want to highlight that for absolutely nothing, you can get an insight into a market in literally hours.

IBM recently released a report saying that the Internet has overtaken TV, changing the dynamics of the advertising industry, and that they see the role of advertising agencies in the future to go "beyond traditional creative roles to become brokers of consumer insight"

Facebook is an amazing company because of the amount of data it holds about the population in various societies. And for a fee - the rest of the world can take advantage of this as well. Welcome Facebook - the world's most competitive agency for consumer insight.

Google: the ultimate ontology

A big issue with the semantic web is ontologies - the use of consistent definitions to concepts. For those that don't understand what I'm talking about - essentially, the next evolution of the web is about making content readable by not just humans but also machines. However for a machine to understand something it reads, it needs consistent definitions. Human's for example, are intelligent - they understand that the word "friend" is also related to the word "acquaintance", but a computer would treat them to mean two different things. Or do they?

Just casually looking at some of my web analytics, I noticed some people landed on my site by doing a google search for how many acquaintances do people have, which took them to a popular posting of mine about how many friends people have on facebook. I've had a lot of visitors because of this posting, and its been an interesting case study for me on how search engines work. However today was something different from other times: I found the word acquaintance weird. I know I didn't use that word in my posting - and when I went to the Google cache I realised something interesting: because someone linked to me using that word, the search engine replaced the word 'friend' with 'acquaintances'.

acquaintances

Google's linking mechanism is one powerful ontology generator.