Numerous tools like this already exist for Twitter, who has never been anything but forthcoming with its data. Facebook, on the other hand, contains arguably more involved conversations and has always fiercely protected its content. People, Robert Scoble included, have run into trouble with Facebook for using "its" data, even when simply doing something with a script that could have been carried out manually.
Terms of Service aside, it would have been very difficult for a third party to put together a tool like this for Facebook, as it isn't easy to access the profiles of people with whom one is not directly connected. A tool like this - one that is actually useful - really could only have been developed by the company themselves.
The "public and semi-public" information that Facebook uses includes comments on users' profiles, groups and events. It actually surprises me that a company whose attention to privacy borders on extreme is using data from profile comments. If users want to, they can completely privatise their profiles so that only their friends have access: even though Lexicon's Help section makes the anonymity of comments explicit, I never would have guessed that Facebook would begin scraping profiles for a tool like this. For advertising revenue? Go for it. But they're providing Lexicon to us for free.
At the moment, the tool isn't as useful as it may one day be. There is mention of a "threshold" which a keyword must exceed before it's included in the Lexicon data. From what I can see, the threshold is relatively high at the moment. Queries that actually bring up results are rather generic. Given a lower threshold, we could begin to use this tool for some buzz-centered keyword research.
As to the tool's accuracy, I see no reason why it doesn't look fairly solid. Its findings for a few of this year's more popular Internet phenomena aren't surprising:
"Rick roll" and "rick rolled" only register on Lexicon's radar on and around April 1
SXSW becomes popular...
... and the rise & rise of Twitter follows.
Some other interesting graphs include the fall of Ron Paul, the fact that Digg is huge and Reddit doesn't register and that people talked about commercials at a far higher rate than usual during this year's Super Bowl. It's also interesting to compare synonyms and similar words to see how Facebook users are referring to certain things (which is what I was doing when I noticed the Super Bowl spike). This comparative data is obviously just as interesting as the ability to track trends, although it does highlight how the graphs tell us nothing about the actual number of instances of a word. A search for "twitter" alone makes it look like Twitter suddenly became a hugely popular word, but in comparison to a really popular word, the graph looks much different.
To my mind, Lexicon may also help us define the Facebook demographic a little further as well. When Facebook was solely a university community, it was easier to pinpoint what constituted a typical Facebook user, but the site's diversification has raised arguments as to who and what constitutes the heralded "average user." The SWSX and Twitter stats tell me that, at the least, the population of tech-savvy people is still relatively high... given the relatively high threshold for keywords, both terms must have been mentioned a lot to register. What would make this data way more interesting is an intersection of Facebook's statistics with similar stats from MySpace and Bebo.
Keep an eye on Lexicon. Facebook isn't known for releasing features and never improving or changing them, so I can only guess that the tool will evolve. One final note: it seems you have to be signed in to Facebook to use it, so if you're a marketer without an account, now is about the time you should get one!
To my mind, Lexicon may also help us define the Facebook demographic a little further as well. When Facebook was solely a university community, it was easier to pinpoint what constituted a typical Facebook user, but the site's diversification has raised arguments as to who and what constitutes the heralded "average user." The SWSX and Twitter stats tell me that, at the least, the population of tech-savvy people is still relatively high... given the relatively high threshold for keywords, both terms must have been mentioned a lot to register. What would make this data way more interesting is an intersection of Facebook's statistics with similar stats from MySpace and Bebo.
Keep an eye on Lexicon. Facebook isn't known for releasing features and never improving or changing them, so I can only guess that the tool will evolve. One final note: it seems you have to be signed in to Facebook to use it, so if you're a marketer without an account, now is about the time you should get one!
I was hoping that I could use this to monitor buzz about real-world events, but all the locations I tried didn't register or were really spiky. I think this could be hugely useful for analysing buzz about real things but I think the threshold needs to be reduced a little before it is useful for watching any kind of breaking trend.
I hope they do open it up though - I think it's a great start...
Agreed: the threshold is too high. Knowing how Facebook likes to do things, I would expect them to improve the tool in general, including making it less of a quirky and more useful.
Facebook is not something I have ever found much use for, but this is a good use of a tool which I had not yet seen.
Thank you Jane.
It is a shame that one has to be logged in to view this data though.
Yeah, they've got you there.
"Christ, our sign-ups are waning. What should we do?"
"Create some cool stuff that people outside of our traditional audience will want to use... but make them sign up in order to use it."
??? Profit, etc.
I think that this pretty much sums up my opinion of facebook:
https://www.youtube.com/watch?v=nrlSkU0TFLs
Contains mildly NSFW language.
I found this tool to be quite enlightening from a psychological point of view, after all every web 2.0 analysis and trend tool measures things that arent "real conversations" such as blog's, serps & queries etc.
This is the first tool to actually delve into the conversation a'la GCHQ and NSA's Echelon tool for email! The power this Lexicon tool will have to actually show trends is very interesting and I hope this is well utilized by Facebook. I found a couple of searches interesting, but agree the data needs to be strengthened a bit to make it really powerful.
The power of this is that its a large number of people (who arent traditionally web savy) conversing in a standard manner online, and although possibly "showing off" to each other (drawback of using the wall) its a good measure of trends etc. Such as that at xmas everyone kisses a little bit more and hates a little less
Awwww.
awww indeed - i'm a sucker for the coca cola xmas jingle.... guess everyone else is as well!
edit: in fact in that post i not only raised love and xmas - but also GCHQ and the NSA?! weird post!
Thanks Jane, this was an excellent post on a compelling tool. I'm excited to have another great data point for KW research as well as social buzz monitoring (to supplement blog monitoring and search trend monitoring).
As practitioners, we always need to wade in slowly with new quant-based analytics tools. It's really easy to take numbers at face value without knowing the underlying sampling rate, but as you clearly mention, this will probably improve over time. I'm anxious to hear more about how everyone experiments with this.
We all should also be careful with assumptions about the drivers of trends. I'll use the Ron Paul example you brought up (and did call correctly). Ron Paul did show a steady decline, coinciding with the seeming finality of the Republican ticket. Graphing Obama, Clinton, and Paul, shows a bit more of the overall picture. Obama and Clinton did fall off their February (super Tuesday) high, with smaller peaks in March and April that coincide with other primaries. However, even after the freefall they stayed above their December 2007 level.
As analysts, we always need to look at the baseline (prior time periods), benchmark against other quantities, and remember to look at external factors (news events) as well as seasonal spikes.
not seems to work from italy :(
At last, a legitimate reason to be on Facebook at work...
"I wasn't Facebook stalking the hot girl who works in the office next door, I was doing keyword research!"
If you read the post very carefully, that's pretty much exactly what I say, over and over again ;) They should make Lexicon look more like a profile page and we'd never get caught again.
Great find, Jane. Very interesting the tools Facebook keeps adding. I wonder about the context, though. For example, searching for "Wal-Mart" could deliver a lot of matches, some users belonging to Anti-WalMart groups, some employees and others fans or posting inside jokes on each others' walls using WalMart.
Or, Scientology - could be one's actual religion, could be members of "anonymous" anti-scientology groups or people poking fun at Tom Cruise.
Good points. It's really the notoriety trend index. It's buzz -- not all flattering -- but buzz.
Thanks for the post! I haven't heard of it before.
I must admit, this has never occurred to me that it could be used for keyword research. Really great idea, Jane.
That would be really great if it also offered some demographics information (they do know people's age, location, etc) - that would make the tool even more powerful marketing research tool.
This is an extremely excellent post. Who would have known a social booking marking site could have such a useful tool for online businesses. By already knowing what keywords that spark an interest with user's it could help cut down on the research and site texting step's taken when trying to come up with good keywords. This is a great tool that could help sites to pick keywords better and attract more attention to there web pages. Great post and hopefully more groundbreaking work by Lexicon can be done to come up with a more sophisticated system for keyword research tool.
Good!!!!!!
I have to admit that I'm still relatively new to FB. I'm curious as to how these stats relate to positioning on their internal SERPs. If I were to track key phrases that have been on the rize, and work them deliberately into my profile, page, or group, will it help me show higher in the ranks for those terms?
man, I feel like such a n00b.
~tronTastic
This isn't so much useful for marketing on Facebook as it is for regular keyword research. Like any other kwr tool, this suggests how people refer to thing and what they're currently talking about... the commercials vs. advertisements and commercial vs. advertisement searches, for example. I would never have thought "commercials" was so much more popular. Yes, "commercial" can mean something other than advertisement, but its plural form is way more popular as well.
so is this a research tool for words and phrases used in their network, or outside the network?
If its internal, I'm wondering if they tie this into their algo or not. I've played with a couple different terms (evaluating where those terms were showing on top rank profiles and frequency on the profile) to see where my profile ends up in their SERP and it doesn't seem to take much to move up in the ranks but I haven't played with this one yet in particular yet.