How to Integrate Social Media into Product Marketing

Recently, I’ve had former colleagues from a couple of my old employers ask me about social media. Specifically, how to get started in it from a professional perspective. They’re aware that social media can be powerful, but it can be daunting to figure out an entrance point and what you’re supposed to do with it.

[tweetmeme source=”bhc3″]

Now I’m no Chris Brogan, but I do have hands-on experience. Specifically, I’ve been doing product marketing for a while now, with both Connectbeam and BEA Systems.  BEA Systems was great for traditional product marketing work. Connectbeam is great for social media-oriented product marketing work. I’ve learned some things that work for me.

In that spirit, I’m going to share them here. Here’s a summary of what follows:

  1. What is product marketing? messaging, customers, market trends, market visibility
  2. Leverage the work you’re already doing
  3. The 9 social media tools I’m using
  4. Twitter – narrate your work
  5. Blog – part product, part big ideas
  6. FriendFeed – tracking the flow
  7. SlideShare, Scribd – the post-webinar bang-for-your-buck
  8. YouTube, Google Video – incremental exposure
  9. Wrapping up – feel free to contact me

OK, let’s get to it.

What Exactly Is Product Marketing?

In the graphic below, I’ve put together a rough (and incomplete) map of the different functions one finds inside companies:

map-of-company-functions

I look at product marketing as having four primary goals:

  1. Positioning and messaging of the company’s products
  2. Steady voice and knowledgeable source for customer inquiries
  3. Staying on top of evolving requirements and ideas in the market
  4. Establishing the company in the market, with coverage among sources of information used by customers

I want to distinguish product marketing from other functions. Every function can use social media for its benefit, but the use cases vary. For instance, I’d expect engineering to use social media to tap peers who can help with coding or architecture questions.

But let’s be clear what product marketing is supposed to do. It is an outward-facing function, with a number of responsibilities:

  • Articulate the value of the company’s products
  • Create messaging around the products, via website content, data sheets, white papers, presentations, etc.
  • Develop the business case for products
  • Put on webinars
  • Give customer presentations and demos
  • Do market and competitive analysis

The tools of the trade include: data sheets, white papers, newsletters, PowerPoint presentations, Camtasia demos, WebEx/GoToMeeting, trade show booths.

So how does social media play in all this?

Leverage the Work You’re Already Doing

The nice thing about traditional product marketing work is that a lot of it complements social media nicely:

product-mktg-source-for-social-media

The first bit of advice I want to impart is that if you treat social media like a foreign language, it will be. If you’re wondering where to start, look no further than the thinking and content you already do as a part of your job. That’s plenty good for starting.

There are three activities that the product marketer will engage in:

  1. Monitor: who is saying what of interest
  2. Engage: interact with customers, analysts, consultants, competitors
  3. Broadcast: create content, tweet original thoughts, post to SlideShare, etc.

In the sections that follow, you’ll see all three activities described.

Social Media: What I’m Doing

The tools: Here are the social media tools I use for product marketing:

Changes in latitude, changes in attitude: Attitude is the most important consideration. If you look at the various social media as a pain-in-the-ass part of your job, you’re likely not going to get much from it. It will be too much of a chore for you.

To excel at product marketing, you’ve got to be good at research and building persuasive arguments, along with a personality that engages customers well. It’s really not that hard to extend those traits into social media. And once you read a bit more below, I think you’ll see the value of engaging in social media.

Be a mensch: Do not spend your time running down competitors. It makes you look petty, and you’ll find yourself in entanglements with them which make no one look good. Focus on what your company is about.

Not tonight honey, I have a headache: I’m an ‘I’ introvert on the Myers Briggs test. Which means I tend to reflect on things. There are times I just don’t feel like twittering. And that’s OK. Because there are times I’m fired up. I will rattle off a series of tweets and dive into deeper conversations. Strike while the iron is hot.

Twitter

Twitter is the microblogging platform, and is my most valuable information source for tracking what’s happening in my industry. It’s really quite a simple platform, but it has a tremendously flexible set of use cases.

The basics: Here a few basics about the service:

  • 140 characters – learn the power of distinct thoughts in a limited space
  • Follow – you see the tweets of whomever you follow, and anyone following you might see your tweets
  • @Replies – the @Replies tab serves as an inbox of public tweets meant for your attention. Start a tweet with @[username] and it will end up in that inbox
  • RT – stands for retweet. When someone tweets something you like and you want your own followers to see it, you type ‘RT’ , then paste the tweet (with the @[username] included) and hit update.
  • DM – Direct Messages are essentially emails, limited to 140 characters. People use them all the time for private conversations.

Fill out your bio: Make sure you do the following with your Twitter account: use your real name, put your location, have a website of some type (your personal blog, company blog, company website), tell who your company is and what you do there, and upload a picture. This seems like basic advice, but if you don’t, a lot of people won’t follow you back. Which makes your product marketing job that much harder.

Also, before you start following people, get 3-4 tweets on your account so you don’t look like a spam bot.

Subscribe: You need to find others to follow on Twitter,  otherwise it’s a lonely place. But who? Here a three tips to get started:

  • Find prominent bloggers in your space, find their twitter account, and follow them
  • Look at who the prominent bloggers are following, and follow the same people
  • Run a search on twitter for industry jargon, see if those people are interested in your sector. Click here to go to twitter search.

A lot of those you follow will follow you back. This is how you start growing your own base of followers.

Narrate your work: Great, so you’re set up. Now what to tweet? Lunch menu? Here’s one idea. Narrate your work. Technology legend Dave Winer wrote this idea, and I like it. Tweet what it is you’re doing. But, let’s examine this a bit more.

Do not tweet, “Opening up Microsoft Word” or “Heading into a meeting”. Yes, that’s your work, but it’s nothing anyone cares about. Rather, you might be reading a good article about something relevant to your industry. You like it? Tweet it! A simple tweet like this is great:

Reading: [article name] [shortened URL] [optional – a bit of personal color]

Because of the 140 character limit, typical article URLs are too lengthy for a tweet. Use a URL shortener, like bit.ly. And if you have a pithy thought on the article, tack it on at the end of the tweet.

@reply to people: When someone you’re following tweets something of interest to you, engage them. Ask follow-up questions, agree with them, challenge them. This is the type of thing that puts you “on the map” in Twitter. Done well, you will gain new followers by doing this. Just avoid being a troll. When people @reply to you, make sure you give them the courtesy of a reply back.

Broadcast: Once you’ve established credibility and a set of followers on Twitter, don’t be afraid to broadcast updates. These may be product releases, blog posts, new white papers, conferences you’ll be attending, etc. All that is fine. Unless that’s all you’re tweeting. Then it’s not fine.

And don’t be bashful tweeting successes.

Be an information hub: One observation about @reply tweets. They are the conversational currency of Twitter. Personally, I want to make sure maybe 60% of my tweets are conversational. But I don’t want them too high. As a product marketer, you’ve got a message to impart. Nothing wrong with creating tweets that others like. What are some non-@reply tweets? Retweets, passing along links to interesting information, personal observations as you do your work, or personal life things (such as funny things about your kids).

People will be attracted to twitters who pass along valuable info.

Blog

Check any job description for product marketing, and you’ll see that good writing is a requirement. We do this for data sheets and white papers. And these papers we write are for public consumption. Of course, they do tend to have a fairly structured approach.

Which is what’s nice about blogging. You’re still writing. But the format restrictions of “official” documents are loosened. Language is less formal, you can inject personality and include pictures, videos, polls etc.

What to write: On the Spigit blog, I like to mix it up. I will cover product releases. But I won’t just re-state the data sheets or press releases. I write more of the background, the “why” for a product release or feature.

I cover larger  issues  as well. This is particularly important for smaller companies. When you’re smaller, you don’t get automatic attention the way Google, Microsoft or Oracle do. That means just writing about your product will result in people not reading your blog posts.

But what do smaller companies have? A different way of looking at the market, and the advantage of generally being more leading edge. For instance, this Spigit blog post, Eight Principles of Enterprise Innovation Management, clearly describes what the burgeoning field covers.

Bloggers love links: When you write these company blog posts, link to other bloggers. For your readers, it’s a great way to show how your thinking ties into issues others are grappling with. For yourself, it’s a good way to memorialize a post you liked. And in case you didn’t know, bloggers love links.

When you link to another blogger, they get a notification of that link. In terms of attention, this is even better than an email. It means you took the time to read their post, and built on it. See who the industry thought leaders are, subscribe to and read their blogs via Google Reader and incorporate their analysis, opinion and observations in your blog posts.

Foreshadow things that are coming up: You know your product roadmap: the features and timing. Prior to those releases, get some posts out that lay down the rationale for the releases. Not in some ham-handed fashion, but as a thoughtful look at the problems or opportunities there are. Pull in research, include excerpts from articles and other bloggers. You then have a good basis for announcing the new features.

Practice makes perfect: Don’t wait until you’ve got a sense of what the perfect blogging style is. Just get in there and do it. You’ll learn over time what subjects resonate, and how to craft an argument that gets attention.

Engage those who comment: People will leave comments on your blog. Make sure you take the time to respond to them. That’s a good way to ensure they come back, and you’ll learn something from the exchange. It also leaves a trail of commentary for others to read.

Blogs are a source of high quality traffic: The Spigit blog is a source of traffic to the Spigit website. Not the biggest, but a meaningful source. Visitors from the blog spend more time, view more pages and have a lower bounce rate than many traffic referral sources. And visitors from other blogs exhibit the same tendencies.

Make sure your company blog is indexed: The search engines can deliver great traffic. Make sure your blog is part of their search index database. For instance, here’s the Google page to submit your blog URL: http://www.google.com/addurl/?continue=/addurl

FriendFeed

FriendFeed is a lifestream aggregation service, which lets track all manner of information about other people from 59 different services. There is a good social aspect to FriendFeed, although the company is still pretty early in its lifecycle. So it’s likely that people in your industry aren’t yet active there.

But beside the social aspects, FriendFeed also has incredibly powerful information management tools. And it’s these tools that are valuable to the product marketer. I’m going to cover them below, but a more detailed description is available on this blog post.

Subscribe to people: Just like on Twitter, you can subscribe to people on FriendFeed, if they have an account there. When you do that, you’ll see there tweets, plus other useful information like Del.icio.us bookmarks, new blog posts, Google Reader shares, etc. You get a fuller picture of what is happening with those in your industry.

Subscribe to imaginary friends: Some people don’t have an account on FriendFeed, but they are active on some other site, like Twitter. But you can still stalk follow them on FriendFeed. You’re doing this not to interact with on FriendFeed, since they don’t have an account there. But I use FriendFeed as a master aggregator of people’s activity streams.

Track keywords in a Group: FriendFeed lets you create Group. Groups are containers into which you can pipe content from elsewhere. Use a Group to track keywords that relate to your industry.

For example, I’ve created the Innovation Management Group.  Into that Group, I’m piping tweets with keywords I want to track, and SlideShare presentations and Del.icio.us bookmarks with tags I want to track. One centralized place to stay on top of what’s happening in my industry.

Put it all together into a List: FriendFeed has a feature called Lists. You can categorize the people you follow into different Lists. Then you can focus specifically on the activity streams of those people. I’m currently tracking the activity streams of 61 people associated with the Enterprise 2.0 industry. You can also add your keyword notification Room to your List. So you’ll see who’s talking about your industry beyond just those people you follow. As I wrote before, Follow Everything by a Select Few, Select Content by Everyone.

Track it in real-time: Once you have your industry List set up, FriendFeed provides a nice option. You can follow the activity streams in real-time as they hit the FriendFeed database. I find this to be important for two reasons. First, there are time people you know are tweeting something you care about. There’s an opportunity to do one of those @reply engagements. You don’t want to wait until the end of the day to see that, because the moment is lost. The second reason is that stuff collects, and if you wait until the end of the day you’re less likely to catch things of interest.

As I wrote in another post, it’s really not that distracting to track activity streams this way. An alternative people use for real-time flow and user groups is Tweetdeck. It’s only for Twitter, but many swear by it.

Connecting the dots: Once you’re set-up with with your List + keyword tracking Room + real-time, something amazing happens. You will start to understand what people are buzzing about more. You’ll see recurring themes. You learn who people in your industry are paying attention to. You see the relationships that exist among industry folks, via the @reply conversations. You’ll know which conferences and trade shows are most talked about.

SlideShare, Scribd

SlideShare and Scribd are the two leading social document sharing sites. Social document sharing? Huh? What you do is upload a document to these sites, and others who are doing research can find and read them. Document types include:

  • PowerPoints
  • Word Documents
  • PDFs
  • Spreadsheets

These are great places to share the content you’re creating. Let me give you an example of how this worked for me.

In November 2008, I put on a webinar titled How to Double the Value of Your Social Software. Afterwards, I put the presentation on SlideShare. In the two months since it’s been there, the following has happened:

A more recent presentation for a Spigit webinar, Tapping Communities to Accelerate Corporate Innovation, has been viewed 1,508 times.

I recently added the social software presentation to Scribd, and it now has 586 views and two Likes.

I assure you, the after-webinar action is much greater than that which occurred with the webinar itself. The effect of all this is to get your company’s point of view into the market. You are a contributor to the industry dialogue, and your company is very relevant in the thinking about the industry’s future. As I said, this is particularly important for smaller companies, who cannot rely on a huge market presence to ensure getting people’s attention. But even the big companies benefit from this.

This  is product marketing, social media style.

Considerations for SlideShare, Scribd: As you can see, the webinar presentation can actually multiply in value when it’s on these social document sharing sites. I know Guy Kawasaki has the 10/20/30 Rule of PowerPoint. Consider that a philosophy, not a rule. What I take from his blog post is the advice not clutter up your slides with too much.

When people are viewing your PowerPoint, they will not have the advantage of your voiceover. You can’t provide a spare slide with just a picture and hope everyone gets what you’re saying. In the webinar, you’ll have a nice narration for the slide. In SlideShare and Scribd, each slide has to stand on its own. Here are my tips:

  • Minimize the times custom animation is a requirement to talk about the slide. Because customer animation doesn’t work on these sites.
  • Pictures and graphics – these break the monotony of endless bullets and text
  • Each slide should have two messages: (1) the point/data of the slide; (2) a way to provide your commentary to that point/data
  • Assuming multiple sections, recap the slides of each section – make sure the point is made

And don’t forget to tag, tag, tag your presentations. Don’t be chary with the tags. People will use them to find your documents. Of course, make sure your tags actually reflect the material in the presentation.

As you go into a webinar, think about your presentation being consumed by an audience many times bigger than the number of attendees to the webinar.

YouTube, Google Video

Videos are a popular way for people to view content. A part of your product marketing job may include producing canned demos of the product. These can be on your company website. And they can go on YouTube as well.

I’ve uploaded three demos for Connectbeam to YouTube. In total, they’ve gotten 380 views. Not quite the same as the SlideShare or blog posts. But it’s nice incremental exposure for something you’re creating anyway.

There are countless stories of videos going viral, and it’s a holy grail for marketers. But I don’t spend a lot of time on that. If you happen to have a particular strength in entertaining videos, by all means take advantage of it.

One limitation for YouTube is that videos’ running time can be no longer than 10:59. For basic product demos, this should be more than enough time. But for webinars, which can run an hour, YouTube doesn’t work.

Google Video supports much longer videos. It’s where I uploaded the recorded webinar from November.  It’s not nearly as social as YouTube, but it does come up in Google search results.

Unfortunately, Google is going to stop accepting new uploads to Google Video in a few months.

However, assuming you do get a video to Google Video or you upload shorter media to YouTube, you can embed these videos in a blog post and give them color commentary to spur viewing.

Use high quality resolution when embedding YouTube videos: The normal resolution of a YouTube video is rough. This may be something that happens when you convert a Camtasia video to a YouTube-acceptable format. But you should know about this, because it hurts the viewing quality of the video. Those web screenshots can be hard to read.

Fortunately, there is a solution to this. When you embed a YouTube video on a web page or blog post, you can alter the embed code to force the video to view in high resolution. The hack described in this blog post works. It will ensure that the video’s fidelity is much higher, making it a more enjoyable viewing experience.

Wrapping Up

A site that I think could be more valuable to engage in is LinkedIn. There are groups and questions that people pose. I haven’t been very active there, but it’s worth a look. Depending on your industry, Facebook may also have value.

I hope this post has been helpful. I seriously could triple the size of this post, but it’s long enough. If you want to talk more about this, feel free to reach out to me on email: (hutch <dot> carpenter at gmail <dot> com) or on the phone 415-377-3610.

Finally, here are a couple relevant posts as follow-up:

I encourage you to get out there and start experimenting. It’s the best way to learn.

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Google Alerts Ain’t Working – Why Don’t They Use Attention Signals?

Do you use Google Alerts?

I do. I’ve got seven of them set up. Generally, they’re pretty helpful. But they often suffer in terms of quality. Here’s a few comments with regard to that:

#1: @VMaryAbraham so am I. Google alerts and blog search have been delivering really bad quality results lately. Old and spam.

#2: Google Alerts actually sent me some useful info today instead of the usual mess of bizarre kitchen sink links from random years and places.

#3: @JesseStay my Google alerts are similarly getting less useful

One of my alerts is for ‘Enterprise 2.0’. I’m doing a pretty good job of staying on top of things in the Enterprise 2.0 Room on FriendFeed, but the Alerts are good back-up. And Google Alerts are the most common keyword notification service that people use.

So this is my question: what determines the links we see in those daily Google Alerts?

I ask this because of a recent experience with a well-received blog post that was not included in the ‘Enterprise 2.0’ Alerts. Compared to another post that did make it in to the Google Alerts, I find myself mystified as to what algorithm Google is using to generate its Alerts.

It’s not to say that Google Alerts don’t deliver some good posts – they do. But they seem to miss the mark pretty often as well, as the quotes at the start of this post show. I’ll relate my own experience below, based on objective factors, as opposed to my own declaration that “It was good post dammit!” 😉

Tale of Two Blog Posts

I checked the Google Alert of January 18 for Enterprise 2.0. Here’s what I saw (my red highlight added):

google-alert-enterprise-20-011809

The highlighted post is a schedule of Web 2.0 sessions for Lotusphere 2009. If you’re into Lotus, good stuff. One session at Lotusphere was titled “INV101 –   From Web 2.0 to Enterprise 2.0: Collaboration, Productivity, and Adoption in the Enterprise”. Hence, its inclusion in the Enterprise 2.0 Google Alert.

I use that entry as a contrast to a post I wrote on the Connectbeam blog, titled Three Silos That Enterprise 2.0 Must Break. It’s a post that pushed some definitions of what a silo is and where knowledge management needs to move to. It was well-received, with a number of attention signals like Del.icio.us bookmarks and tweets.

And you’ll notice it’s not listed in the Alerts email above, or in any earlier ones. It was included in my ‘Connectbeam’ Google Alert. So I know Google had indexed it in its blog database. But it was not in the ‘Enterprise 2.0’ Google Alert. Which got me to wondering, what does it take for a post to make into the daily digest of Google Alerts?

I put together a comparison of the two posts: the Lotusphere post, and the Connectbeam Three Silos post. I wanted to see where the Connectbeam post falls short. Take a look:

google-alerts-tale-of-the-tape

The table above includes some typical Google attributes: PageRank, term frequency, links. It also includes the next generation of content ranking: comments, bookmarks, tweets and Google Reader shares. On either basis, it’s surprising that the Lotusphere post made the cut, while the Connectbeam post didn’t.

So I’m still trying to figure out what makes the difference here. Clearly, the Three Silos post struck a bit of a chord in the Enterprise 2.0 community. I know this not because of links by other bloggers (although they were there), but by the other Web 2.0 ways people communicate what’s of value to them.

How about it Google? Time to update your algorithms to include attention signals from our growing use of social media?

My Ten Favorite Tweets – Week Ending 120508

From the home office in Truth or Consequences, NM…

#1: Love this post by Atlassian’s @barconati Connectbeam Connects | Confluence Customers Beam http://bit.ly/5VhY >> why E2.0 integrati …

#2: Noticing that my tweets that hit 140 characters are having text cut off well before 140. Anyone else?

#3: @twitter A bug. Char. < and > are stored as 4 char. in ur DB, not 1. Means each use cuts max char. of tweet by 3. This tweet’s max=134

#4: One effect of BackType – I am more conscientious than ever about commenting. Comments have the effect of Google Reader shares.

#5: Lump by Presidents of the USA comes on radio. Says 20-something, “Oh that’s the classic rock station.” Lump is classic rock? Ouch!

#6: One thing vacations with little kids ain’t…restful.

#7: RT @timoreilly Derived intelligence from large data sets is a kind of interest or “float” on data. Analogy of Web 2.0 data to capital.

#8: The H-P Social Computing Lab is doing some really interesting research http://bit.ly/k7dI

#9: RT @jbordeaux re: enterprise 2.0 “And like pornography: they’ll pay too much, get over-excited after tiny results, but soon regret it.”

#10: But at least I’ve got a Sam Adams.

My Ten Favorite Tweets – Week Ending 112808

From the home office in Lake Tahoe, California…

#1: Better than spam? Chris Baskind reports a spammer on Twitter has a 21.5% return follow rate: http://bit.ly/EzHm

#2: If you don’t ask, you don’t get. And…you never get everything you ask for.

#3: Just added BackType to my FriendFeed. An interesting competitor to Disqus and Intense Debate.

#4: I love this saying about parenting: “The days are long, the years are short.” >> So very, very true.

#5: Why is Papa Bear such the dufus in the Berenstein Bears books? Giving us Dads a bad name…

#6: Doing a keyword search in my GReader, seeing some great posts for blogs to which I don’t subscribe. Power of subscribing to others’ shares.

#7: Editing/adding content on my blog’s About Me page. That page receives a good number of hits, and I thought…”What Would @chrisbrogan Do?”

#8: Reading: “Resumes are Dead. Social Media is Your New Resume.” http://bit.ly/yqUQ

#9: Twitter for $500 million..gut says that’s too low. Twitter is the defining platform for lightweight interactions. $1 billion +…

#10: Thanksgiving morning. We’ve got Christmas music playing on the radio (96.5). Kids are jumping on the bed. Heading to Gramma’s house later.

Tag Clouds for Our Lifestreams

We are marching down the lifestreaming road. There are a proliferation of lifestream apps, such as FriendFeed, SocialThing, Strands, Swurl and others. Lifestreaming is getting hotter, and there’s some thought that lifestreaming will be the new blogging:

Sites and social tools like these and many others encourage more participation on the social web than ever before. Although the social participants on these sites are often more active in socializing than they are in blogging, there’s still that need to stake out your own piece of real estate on the web. But we wonder: does that really need to be a blog anymore? Perhaps not.

It’s a great concept, one that Mark Krynsky has been chronicling for a while at the Lifestream Blog.

An area I think that is ripe for inn ovation here is the ability to find the meta data from one’s lifestream. On FriendFeed, people will have multiple services that fill up their lifestreams. A couple issues that crop up on FriendFeed are:

  • Figuring out whether to subscribe to someone
  • Catching up on what particular individuals have been streaming

Because there is one thing that has been noticed with all this lifestreaming – there’s a lot of information generated (or “noise” as some might say).

So here’s my idea:

Create tag clouds for our lifestreams

What do I mean? Read on.

FriendFeed Lifestream

I’ll use the lifestream service with which I’m most familiar, FriendFeed. Here are the tag clouds I’d like to see for each user’s lifestream:

  • Blog
  • Music
  • Google Reader shares
  • Bookmarks
  • Twitter
  • YouTube
  • Flickr
  • Digg
  • etc…

And I’d like to see tag clouds for what users Like and Comment on. Because on FriendFeed, Likes and Comments have the same effect as a direct feed of someone’s lifestream: they put the content into the feed of all their followers.

So via the tag cloud, I’m can quickly come up to speed on what someone is interested in.

Let’s Make Tagging Easy

I don’t propose that users suddenly tag their own streams. Rather, let’s leverage the work of others.

It’s de rigueur for Web 2.0 apps to include tagging. Bloggers tag. Social bookmarkers tag. Music lovers tag. Why not pull the tags applied to the source content into the lifestream?

Here’s what I mean. My blog has plenty of tags. These tags are included in the RSS feed of my blog. So any feed that includes my blog should include these tags. Let’s leverage:

  1. The tags that people apply to their own Web 2.0 content
  2. RSS/Atom feeds that include tags

For some background on this, click here for a page on Technorati that talks about tags in feeds.

By leveraging the tagging work already resident in user-generated content, one can quickly build up a tag cloud for lifestreams.

An Example: Google Reader Shares

Google Reader is a good example. People ‘share’ blog posts they read via their Google Readers. Sharing lets others see the articles that someone finds interesting and useful. And of course, those blog posts that someone is sharing have tags.

Here’s what the tag cloud of my recent Google Reader shares looks like. I’ve simulated the tag cloud by using Wordle for the tags.

You can see my interests lately: Enterprise 2.0, FriendFeed, social media. If someone wanted to get a quick sense of the things they’ll see by subscribing to me, this tag cloud answers that. And if someone is curious about the specific posts I’ve been sharing that relate to a subject, they could click on one of the tags and get a list of my Google Reader shares.

Curious, I ran the same analysis on the Google Reader shares of four people I follow on FriendFeed: Robert Scoble, Louis Gray, Sarah Perez, Mike Fruchter. Here are the topics they’ve been sharing lately:

Robert Scoble clearly is following the iPhone and Google. Louis Gray was following the happenings at Gnomedex. Sarah Perez is pretty even in her interests, with FireFox, social bookmarking, FriendFeed, Twitter, search and photos among her favorite topics. Mike Fruchter has been reading up on Twitter and social media.

Just like that, I’ve gotten a sense for their interests right now. And if those were true tag clouds, I could click the tag and see the Google Reader shares. Robert Scoble is really good at tracking useful relevant things. Clicking the ‘iPhone’ tag and reading his shares would be a quick way to understand what’s goin.

Tags + Wordles

As I said, most user generated content comes with tags these days. So pulling these into the feeds and representing them in a tag cloud would be a fantastic move forward in creating lifestream tag clouds.

But what about Twitter? There are no tags on tweets. Not a problem. FriendFeed and other lifestream services could do a Wordle-like tag cloud. Tally the most common words in someone’s tweets, represent it as a tag cloud. And make the tag cloud clickable, which would essentially run a Summize Twitter search of the user’s tweets for a given tag.

Use Existing Metadata to Solve Two Problems

The key here is to not make it onerous on the end user. Tag once, re-use everywhere. If desired, users could be given the option to add tags to their own lifestreams. But the core idea is to eliminate double tagging work for users.

If this could be done, you’ve got a visual representation of people’s lifestreams. And an easy way to find the specific entries in a lifestream that relate to a topic.

Lifestreamers – would you want something like this

I’m @bhc3 on Twitter.

Why Isn’t This the Tag Standard? Multi Word, Comma Separated

Tagging is a great way to put context on user generated content. The tag cloud to the right shows what the hundreds of thousands of blogs were talking about on the evening of August 21. (Click the image to see what bloggers are talking about right now).

Pretty much any web 2.0 service that has user-generated content supports tags. Flickr. YouTube. Del.icio.us. Google Reader. Last.fm. Tagging is entrenched in the web 2.0 world, and it’s one of those idea that spread without any standards.

But there is a problem of no single standard…

Beta, VHS.

Blue-Ray, HD-DVD.

Space or comma delimited?

What’s happened is that tagging formats are all over the map. Each web 2.0 service came up with what worked best for its product and developers:

This post at 37signals described the same tag formats above, and it got a lot of comments. Good energy around the subject. Brian Daniel Eisenberg thinks the failure to have a consistent tag method may undermine its adoption by the masses.

To me, there really is one best format.

Multiple Words, Comma Separated

I tweeted this on Twitter/FriendFeed:

Can there be a universal standard for tags? Multi-word tags, comma separated. Odd combos (underscore, dot, combined) are messy, inconsistent.

You can see the comments on the link. The gist of them? Multiple words, comma separated is the best format. Here’s why I think so:

  • Forced separation of words changes their meaning (“product management” or “product” and “management”)
  • Forced separation of words creates tag clouds that misrepresent subjects (is it “product” content? or “management” content?)
  • With single terms, too many ways for users to combine the same term:
    • productmanagement
    • product.management
    • product_management
    • product-management
  • Writing multiple words with spaces between them is the way we learn to write
  • Putting commas between separate ideas, context, meanings and descriptions is the way we write

Let people (1) use more than one word for a tag, (2) written naturally without odd connectors like under_scores, and (3) using commas to separate tags. These rules are the best fit for germanic and romance languages, and I assume for most other languages as well.

To Brian’s point about the masses, let’s make tagging consistent with writing.

For Developers, It’s Pretty Much a Non-Issue

In The Need for Creating Tag Standards, the blog Neosmart Files writes:

Basically, it’s too late for a tagging standard that will be used unanimously throughout the web.

A lot of developer types weighed in on the comments. For the most part, they’re sanguine about the issue of different formats. Rip out any extraneous characters like spaces, periods, underscores, etc. What’s left is a single string that is the tag.

It’s About the Users

The issue fundamentally is how boxed in people are if they want to tag. In the Neosmart Files post, commenter Jason wrote this:

As this topic suggests, there are issues in resolving various tags that whilst literally different they are contextually equivalent. I believe this to be the critical juncture. Perhaps the solution lies not in heaping upon more standards, but improving the manner in which tags are processed by consumers.

From my perspective, multiple word, comma separated format is the most wide open, flexible way to handle tags. If a user likes running words together, he can do it. If a user wants to put underscores between words, she can do it. If a user likes spaces between words, not a problem.

But making users cram together words in odd combinations takes them out of their normal writing and thinking style. Tags should be formatted with humans in mind, not computers.

That’s my argument. What say you?

*****

See this post on FriendFeed: http://friendfeed.com/search?q=%22Why+Isn%E2%80%99t+This+the+Tag+Standard%3F+Multi+Word%2C+Comma+Separated%22&public=1

Analyzing My FriendFeed Stats: I Should Be Direct Posting More

I’m curious about the level of interaction that occurs around the different content that streams through FriendFeed. Distributed conversations are fine by me, and I wonder what sparks them most often for content. So I did a little analysis of the ‘likes’ and comments that have happened for me.

Below are some pie charts. The first set analyze the ‘likes’. To the left is the percentage of my FriendFeed stream that comes from different content sources. To the right, I counted the number of ‘likes’ for the various content sources. For the ‘likes’ I only counted for the month of May, but I think it’s a decent approximation of my overall activity.

A couple observations:

  • Blog posts and FriendFeed Direct Posts are the biggest sources of ‘likes’
  • Google Reader shares and Twitter are a big part of my stream, but don’t generate a comparable percent of ‘likes’

Now let’s see how the comments look:

Would you look at that? FriendFeed direct posts dominate the comments. My blog posts are #2.

What’s It Mean?

I imagine everyone’s experience will vary. For me, I draw four conclusions.

My FriendFeed use is similar to people who Twitter: With FriendFeed direct posts, I’ll sometimes just make an observation. Other times, I direct post a website, generally with a graphic. This strikes me as similar to Twitter in that I’m posting something that can be consumed by anyone who subscribes to me. Also, these posts mean someone can stay within FriendFeed. Seems to make a difference in interaction when people can stay on the site. Like Twitter.

‘Likes’ dominate my blog posts: The Likes:Comments ratio for my blog posts is running at 4:1. For all the concern about fractured comments, I’d say people are overlooking basic recommendations of your content via ‘likes’. It’s not about the comments, it’s about the ‘likes’!

Comments on my posts frequently occur on someone else’s stream: There are several of my blog posts that have generated good comments. They just haven’t occurred on the RSS feed from my blog. These bigger comment fests have been when someone with much larger following and FriendFeed ‘presence’ (and I’m not going to write his name, because I use it too often…). But you know what? I’ll take those comments! They obviously weren’t happening just off my own post. In the long run that kind of exposure is vital for us smaller bloggers.

Google Reader shares suffer from repetition: Good blog posts will often be shared by several FriendFeed members, including those with larger followings. So when I share, I may be following others. So the repetition diminishes the interaction. I still share – there is some interaction. And Google Reader shares end up in several other places, like RSSmeme and ReadBurner. These services will show the most popular shares, so I want to vote for these blog posts.

Final Thoughts

Colin Walker has some interesting thoughts about using FriendFeed as a blogging platform. Looking at how FriendFeed Direct Posts and my blog generate the biggest activity, maybe he’s on to something.

*****

See this item on FriendFeed: http://friendfeed.com/search?q=%22analyzing+my+friendfeed+stats%22&public=1

Early Adopters: Attention Is Migrating to FriendFeed

Based on the reaction to a recent post about Twitter early adopters, it’s clear there’s an appetite to understand when trends emerge and applications migrate across the technology adoption lifecycle.

To that end, there are important updates about FriendFeed.

FriendFeed has been out for a few months as this cool app that lets you look at what your friends are doing across social media. If you were to stop there, it sounds nice, but somewhat useless to everyday activities. “Yeah, I check it every so often to see what my friends are up to.”

But, it is so much more. FriendFeed is emerging as the one lifestream platform to rule them all. The ability to see and interact across a range of services is proving addictive. And it may inadvertently disrupt a few other services along the way.

Four recent comments show that a trend is emerging. People are consuming updates from their social apps not directly from the apps themselves, but primarily from FriendFeed. FriendFeed is starting to get the lion’s share of attention and page views, to the detriment of other services.

Here are the quotes.

Robert Scoble tweeted about his declining use of Google Reader due to FriendFeed:

FriendFeed has replaced much of what made RSS cool to me. I’m still reading Google Reader, but less.

Thomas Hawk messaged on FriendFeed about his declining use of Flickr due to FriendFeed:

I find that I’m going to Flickr’s most recent photos from my contacts much less than I used to and going to friendfeed to view my contacts and imaginary contacts flickr photos much more.

Steven Hodson commented about potentially leaving Twitter altogether due to FriendFeed:

FriendFeed as for me it is a much better resource than Twitter will every be. It has gotten to the point where even now I’m seriously thinking of moving strictly to FF.

Jason Kaneshiro blogged about his declining use of Google Reader, due to FriendFeed

FriendFeed is replacing Google Reader as my information aggregator / filter.

If you’re trendspotting, you’d do worse than to look at the comments of those four to see where the early adopters are moving.

Finally, the compete.com graph below shows March 2008 had a huge spike in visitors to friendfeed.com:

How about you? Are you feeling it?

*****

See this item on FriendFeed: http://friendfeed.com/e/0b9e5d3f-e644-6105-5e28-7b4a95e1b34a

The Best Blogs You’re Not Reading? Toluu Knows

Toluu has entered the ever-growing recommendation space with something different: blog recommendations. And the service does a good job of finding blogs you’ll like.

I love the RSS experience of reading various blogs, loading up my reader with a lot of them and checking updates several times a day. So I was happy to have the chance to try this out. The service is new, launching in mid or late March. Louis Gray has a good post detailing its initial launch. Here’s a description of how it works from the Toluu site:

  • After joining, you will be prompted to import your feeds. We have many methods of importing your feeds such as OPML import, URL input, and a nifty bookmarklet.
  • Toluu will do some crazy math to find others in the system who have similar tastes as you.

One thing founder Caleb stressed on his blog: “Toluu is not another social network. I repeat Toluu is not another social network.”

So with that intro, let’s look at the user experience and how Toluu rates versus competitors. First, a brief discussion of recommendations.

Quick Note on Recommendations

The recommendations space is a hot area right now. For instance, Loomia, which recommends web content based on what your friends read, just raised $5 million. Amazon.com has been a real pioneer here with its “customers who bought this item also bought…” recommendations.

Ideally, recommendations are exactly matched to your interests. That’s pretty much impossible, but recommendations engines will employ proxies to get a bunch of recommendations that are close to your interests. And hopefully one or more click with you.

There are myriad ways to approximate your interests, and the world of recommendation engines is full of different methodologies. The key thing for most of them is (i) the amount and quality of information about your preferences, and (ii) the amount of population data available to build out recommendations. Toluu uses your OPML file of feeds, which is a very good source of data about your preferences. And Toluu improves as more people participate.

Finally, I’d want a recommendation service to mix highly popular items that I may be missing, as well as less popular items that are relevant to me. That latter category is the real jewel of a recommendation engine, and its the hardest to get right.

Toluu’s Organizing Principle: Match Percentage

Toluu’s primary organizing basis is its Match %. As Caleb mentioned above, this is their “crazy math” secret sauce. After you log in, you click on matches. A list of 5 people are displayed, sorted according to the Match %. The first 5 people you see are your highest matches. Each subsequent page shows the next 5 highest rated people. Each person has 5 feeds listed beside them. These “feeds you might like” are the top 5 recommendations per person.

I had 60 people in my list of matches. My highest match was at 91%. The bottom of the list was guy with whom I matched at 31%.

As I looked through the people that I matched, I noticed a trend. The best Match %’s were with people who had fewer blogs. The lower Match %’s seemed to be with people that had large numbers of blogs. I pulled together some numbers for 30 people to see if this was true. My top 10 matches, 10 people that fell just below the 50% Match %, and my bottom 10 matches. I then graphed it:


Sure enough, the higher the number of feeds for a given user (red line), the lower the Match % (blue line). I’m not quite sure what to make of that. It may be an outcome of the math – the match percentage is lower just because a user has so many feeds there’s no way to match. Or maybe I don’t match up well with the hard-core RSS addicts. I dunno.

One effect is that people who go deeper in their blog interests will fall lower in my matches. Assuming users don’t go too far down in viewing their matches, this could reduce the chance for finding those golden nuggets of less popular, but valuable blogs.

Top Toluu Recommendations Can Be Limited

I cruised through my people matches, and read the 5 “feeds you might like” for each one. There is a high degree of commonality on the recommendations. The 5 recommendations seem to use popularity as an primary input. And that makes sense. You’re providing a service, and popularity means somethings been deemed worthy by the public at large. Start with that!

Again, I looked at the top 5 recommendations for the 30 people I analyzed above. That meant I was looking at my top matches, my mid-tier matches, and my lowest matches.

There wasn’t a lot of variation in the top 5 recommendations for people in the different groups. Micro Persuasion, Engadget, Lifehacker, a couple Google company blogs and Boing Boing consistently showed up, regardless of the Match %.

This narrowness in the recommendations was something that Allen Stern at CenterNetworks wrote about. If you see a recommendation once, you’ll tend to see it repeatedly.

The Rubber Meets the Road: Toluu vs. Google Reader vs. NewsGator

So all that’s well and good. But how does the service perform? I decided to see how Toluu worked relative to two big established market players: Google Reader and NewsGator.

Google Reader has a Discover function. Here’s how it’s described: “Recommendations for new feeds are generated by comparing your interests with the feeds of users similar to you.” Sounds like Toluu, doesn’t it?

NewsGator has a Recommended for Me function: “NewsGator has analyzed your current subscriptions and post ratings, and recommended these new feeds for you.” Doesn’t say how that’s done.

I compared the top dozen recommendations for each of the three services. To assemble my top 12 for Toluu, I calculated the number of times the different blogs appeared in the 30 people I analyzed above. For instance, the blog Micro Persuasion appeared in 19 of the 30 matched users, making it #1. The table below shows those top 12 for each service:

One thing that immediately was apparent. No blog appeared more than once! Three different sets of recommendations and no overlap among Toluu, Google and NewsGator. Incredible!

I then checked out the 36 different sites. After a quick scan of each one, I decided whether it was one I would add to my RSS feeds. Those are highlighted in yellow above. NewsGator’s recommendations fell flat with me. They were too hard-core tech. Several had blog posts with lines of code on them.

Google Reader’s recommendations were the most relevant for me, with 5 that I liked. I subscribe to a number of Enterprise 2.0 blogs, so blogs like Intranet Benchmarking Forum and Portals and KM were good.

But Toluu did well here. The crowd was right – I like Micro Persuasion. Webware.com and Web Worker Daily are also interesting. There are a lot of Google blogs that show up in the recommendations. Maybe a bunch of Google employees are trying out the service?

More people joining Toluu will probably improve this some. At least push the Google blogs off the top recommendations. But there will be some reinforcing behavior as people join. Sites like Engadget and Lifehacker have large followings, and I’d expect a number of new folks joining Toluu to have those already.

Serendipity: Looking at My Top Matches’ Other Blogs

For each person in your match list, you see all the blogs they have that you don’t. It’s here where some of those golden nuggets, and even better known blogs, can be found. It takes work. You need to click each person, and then click each blog. There’s a limit to how much of this I wanted to do.

So I only looked at the feeds of my top 3 matches. And, I did find more blogs I’m going to add to my Google Reader:

  • Marshall Kirkpatrick
  • Adam Ostrow
  • BubbleGeneration
  • SocialTimes.com
  • mathewingram.com/work

Toluu Assessment = These Guys Are Doing It Right

I picked up 8 new blogs to follow courtesy of Toluu. That’s no small accomplishment. And considering they’re just getting underway and don’t have a ton of users yet, they compete quite well against Google.

I haven’t touched on other features of Toluu has. You can favorite a blog in your collection. I assume this helps the matching algorithm? You can track the activities of others to see what blogs and contacts they’re adding. But remember…this is not a social network!!!

Things I’d Like to See

I’d like to have an easier experience seeing the feeds for my top matches. Since there’s such a commonality in the top 5 for each of them, it would help me discover other blogs if I could see several of my matches’ unique blogs at once.

Show the top ten blogs recommended for me based on my top 10 matches. Criteria = frequency of a blog’s recommendations, with overall popularity as a tie breaker.

I’d like to get a little more info about some of these blogs in a summary fashion, without having to click each one. Maybe the headlines for the most recent 3 posts, or top tags of the blog?

But all in all, a very nice start for Toluu. Thumbs up here. Now I’ve got to go scan my RSS feeds.