Yesterday I spoke at SMX Advanced for the first time (though I have attended all of them). My talk & our entire session’s presentations on link building/acquisition seemed to go really well. I was a little nervous as the room was full of 800+ of the world’s most advanced SEOs.
I assumed most of the audience knew about, or actively used, many of the tactics SEOs have been preaching for years–so I decided to focus on some things they may not have tried or even heard about, including gamification & the brain science behind of pitching. I also shared a case study of a client I took from blacklisted site with barely any links to > $1 million in revenue in just two months with no budget.
It may be a little confusing without my audio explanation to go with it, but I thought I’d share the slides with you below. I have three clients who use gamification and I’ve been going to gamification conferences for the past two years. I have an additional gamificiation experiment underway for a film I’m working on that I will be able to share at some point.
I really enjoyed speaking with Justin & Kaila and thought Elisabeth did a wonderful job of selecting panelists and coordinating the talks.
The Search Engine Journal was kind enough to interview me about various SEO topics, including: evolution of SEO, using UGC to drive SEO, Domainers vs. SEOs, and making the transition from in-house SEO to out-house SEO (working out of my house as an SEO consultant).
I didn’t realize it until now, but this is my 2nd interview with the Search Engine Journal–the first was over 3 years ago. If you dig reading about me 1/10th as much as I do, then I suggest you check out both interviews:
Dustin Woodard 2010 SEJ Interview
by Todd Mintz
Dustin Woodard 2007 SEJ Interview
by Jessica Bowman
Besides learning more about me, I think you’ll find some helpful SEO tips inside both interviews.
Pubcon is always a great conference and tends to attract more practitioners then some of the other major search conferences, which is something I highly value. I’ll be speaking at Pubcon next week on UGC SEO (optimizing user-generated content to drive large volumes of natural search traffic). Surprisingly, this is my first time speaking at Pubcon and I’ll get to do it with the conference founder, Brett Tabke on the final day of presentations.
Besides the conference sessions, there’s tons of great parties. This year I plan to attend DK’s Poker Tourney and the SEOMoz 3rd Annual Search Spam/Werewolf party (went to the first, but missed it last year).
The Poker Tourney isn’t a charity event this year, but the intentions are still the same. This year Purpose Inc has asked that attendees post one of their favorite charities to a blog post. I’ve decided to mention Kiva, which is a non-profit that enables you to lend money to entrepreneurs in 3rd world countries to allow them to get themselves out of poverty. You get to choose who you lend to by reading their profiles and what the money will go towards, then they pay you back so you can lend to another in need.
Hoe to see you in Vegas!
Twitter search seems fairly basic, which often leads to people using 3rd party Twitter tools for searching. Most people don’t realize it, but Twitter some handy search command abilities:
Basic Twitter Search Commands (no surprises here):
- Multi-word queries: if you search multiple words, Twitter’s default search will search tweets containing both (or all words).
Example: big doggy would find tweets that contain both “big” and “doggy”, but not necessarily the words paired together.
- Exact match queries: if you use quotes, you can limit tweet searches to exact matches.
Example: “big doggy” would find tweets that contain the exact phrase “big doggy”.
- OR queries: if you are looking for two related or interchangable words, OR queries work well.
Example: dog OR doggy would find tweets that contain either words.
- Hash Tag queries: Hash tags used to be one of the only methods of putting a stamp on your tweet to help those searching in Twitter, but they not as critical these days as Twitter search has improved. Regardless, people still use hash tags (#), especially when attending events or joining in on a meme
Example: #ff would find tweets that contain #ff (which stands for Follow Friday).
- At queries: when referencing someone on Twitter, you use @ (at reply), so it makes sense you can search for people doing so.
Example: @webconnoisseur would find tweets reference me.
- Question queries: target tweets that ask a question.
Example: web designer ? would most likely find tweets of people looking for web designers.
Advanced Twitter Search Commands:
- Combining queries: You can combine queries to really nail down what you are looking for.
Example: “seattle startup” OR “seattle start-up” OR “@seattle20” combines the simple search commands listed above and would be an excellent way to find tweets related to startups in Seattle.
- From and To queries: You can actually target tweets that are specifically sent to or from someone.
Example: “from:GregBoser” “to:Graywolf” would show me tweets Greg Boser sent to Michael Gray. If you perform a query like this, Twitter will also include a link that will allow you to see the entire conversation, if there is one.
- Exclude queries: You can specify words you don’t want to see in your query.
Example: hello -kitty would show me hello tweets, but exclude tweets that are reffering to hello kitty or someone saying hello to their kitty on twitter (trust me, you want to stay away from these people).
- Location queries: You can actually limit tweets by location.
Example: beer near:Seattle within:15mi would show me beer tweets written within 15 miles of Seattle
Note: it isn’t entirely accurate as it appears to go off the location the person has listed in their profile, which isn’t always where they are at the time.
- Date-based queries: You can actually limit tweets by date, both before (use “since:”) or after (use “until:”).
Example: techcrunch since:2009-09-12 until:2009-09-13 would show me tweets about TechCrunch over the weekend on September 12th or 13th
- Attitudinal queries: Some Twitter users incorporate happy or sad faces into their tweets. You can search these to find attitudes about topics.
Example: cloudy with a chance of meatballs :) would show me people who were happy to go see or enjoyed the movie Cloudy With a Chance of Meatballs.
- Source queries: probably one of the least useful queries unless you want to research a 3rd party tool’s adoption, you can do query searches by tweet software source.
Example: LOL source:tweetdeck would show me LOL tweets that came from someone using tweedeck.
- Link filtered queries: a great way to track down referenced links, this query will limit Twitter searches to tweets that contain links.
Example: mashable filter:links would show me people’s tweets linking to Mashable articles.
- Jumping forward in older searches if you are hunting for something via Twitter search and want to save yourself from clicking “older” over and over, you can change the page number (after your first older click) in the Twitter URL to jump forward.
Example: http://search.twitter.com/search?max_id=3984008800&page=2&q=fight&rpp=20 is the result I get after searching fight in search.twitter.com and clicking on older once. To jump further back in time and skip a bunch of tweets, I can go up to the browser URL box and change the page=2 portion to page=35 to jump straight to page 35.
Hope you find these Twitter search commands useful. If you know of others, or would like to share your example uses, please leave a comment.
After attending SMX Advanced (or listening in), then reading Matt’s post about no-following, many SEOs, both beginning and advanced, are running around like chicken’s with their heads cut off, scrambling to decide what to do.
The more we pin Matt down on no-follow, the more confusing things become. If you were to read Matt’s post and overreact, you might remove all your no-follows including on blog comments, turning your site into an over-crawled (spiders visiting areas they shouldn’t) and over-spammed site (users dropping tons of links in comments).
Or, if you are a bit more savvy, you might start blocking comments on your blog, iframing your footer links site-wide, or dissallowing linking on all UGC.
The key with any exposed change is to wait until the dust settles and SEOs test & share their results. If you have been using no-follows appropriately, you shouldn’t have much reason to change them now. Matt says these changes have been in place for a year, but I know for some borderline abusers of pagerank sculpting, the more noticable changes took place the past couple months.
External linking is where the greatest mistakes will be made. I would recommend against assuming Matt’s advice to stop using no-follow applies to external links as he appears to be speaking mostly about internal linking practices. I’ve asked him to clarify his stance on external linking because there are a lot of reasons why Google would prefer to heed your external no-follow instructions.
What should you do? For now, I recommend sitting tight.