December 28th, 2006

Google Vs Wikiasari

Let me start out by saying Google needs good competitors for a number of reasons. They have become synonymous with search and regardless of the millions or billions of dollars being spent by the competitors, such as Microsoft and Yahoo!, Google (News - Alert) keeps gaining share. Their share is so great, many advertisers don’t need to explore other search engines as advertising vehicles. They can get access to the lion’s share of searches by sticking with Google.

In short, the world of the Web will be a better place if Google gets strong competition. Even if most web surfers stick with Google, strong competition will only force Google to get better and better.

So I read with interest the launch of new search entrant Wikiasari by Jimmy Wales, the man behind Wikipedia. Probably everyone who has used the Internet has heard of Wikipedia, as it is one of the top ranked sites in the Web and is a treasure trove of free information.

The strength behind Wikipedia is the power of the masses which allow the site to be a collaborative free resource. In the world of Wikipedia, entries are updated by a network of volunteers, not company employees.

Expect Wikiasari to embody a similar strategy to build a search engine that competes with Google by allowing humans to fine tune the search results. As everyone knows, all search engines can be vastly improved. So there may be room for more competition in the market.

Original Post here.

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December 21st, 2006

21 Tactics to Increase Blog Traffic

1. Choose the Right Blog Software (or Custom Build)

2. Host Your Blog Directly on Your Domain

3. Write Title Tags with Two Audiences in Mind

4. Participate at Related Forums & Blogs

5. Tag Your Content

6. Launch Without Comments (and Add Them Later)

7. Don’t Jump on the Bandwagon

8. Link Intelligently

9. Invite Guest Bloggers

10. Eschew Advertising (Until You’re Popular)

11. Go Beyond Text in Your Posts

12. Cover Topics that Need Attention

13. Pay Attention to Your Analytics

14. Use a Human Voice

15. Archive Effectively

16. Implement Smart URLs

17. Reveal as Much as Possible

18. Only One Post in Twenty Can Be Linkbait

19. Make Effective Use of High Traffic Days

20. Create Expectations and Fulfill Them

21. Build a Brand

Best of luck to all you bloggers out there. Read more here

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December 7th, 2006

Study: Search Driving Offline Conversions for Local Service Businesses

By Greg Sterling

New research suggests that internet users are increasingly relying on search to find local service businesses, potentially taking mind-share away from traditional print yellow pages and classified advertising.

Nielsen//NetRatings and local search engine marketing firm WebVisible conducted a survey in August to determine whether and how U.S. consumers were using the Internet to find local service businesses. Using Nielsen’s consumer panel, respondents were qualified in terms of whether they had used the Internet to find a local service provider and whether they had done so within the past 90 days.

There were 2,866 survey respondents overall, 70% of which had used the Internet to search for a local service business. Forty-six percent (1,319 respondents) had done so in the past 90 days. The survey emphasized the use of sponsored links as a part of this process.

The following discussion of the data pertains almost exclusively to the 46% of survey respondents who had conducted one or more searches online for a local service business within the past 90 days.

The missing geo-modifiers

One of the issues with local search is defining what constitutes a “local search” in the first place. It’s not as obvious as one might think. In its definition of “local search” comScore has historically tracked traffic volumes on Internet yellow pages sites, mapping sites, selected “local search engines” and general search engines where queries have geographic modifiers. As inclusive as that definitions may sound, it’s a fairly “conservative” approach that, in my view, fails to capture a broad range local search behavior where the query is ambiguous but there’s a local intent behind it.

While I was still at The Kelsey Group we developed the first market estimate of local search volumes based on my conversations with search engines, together with empirical user research that sought to capture their intentions and behavior.

The estimate we developed was that about 20% of search engine traffic had a local intent. Others had higher estimates (Nielsen) or lower estimates (comScore). But this was a number we felt fairly strong about.

I subsequently asked Jim Larrison, then of comScore, to do a more in-depth analysis of user behavior from their data. I argued to Larrison, for example, that queries for lawyers (e.g., “divorce lawyer”) are inherently local because they involve almost exclusive offline fulfillment and should thus be considered local searches even if there is a missing geo-modifier. Beyond lawyers, there are numerous other examples of “implicit local searches.” What Larrison eventually determined, looking more deeply and broadly at actual user behavior, is that local intent was behind up to 40% of online search/”directional” lookups.

Now back to WebVisible’s research, which appears to support the idea that a large percentage of searches with a local intent don’t appear as such because they lack geographic modifiers. Here’s what the research determined about respondents’ local search query formulation:

* 51% used a general service term to search (”dentist”)

* 49% used a general service term and regional term (”dentist in Cleveland”)

* 23% used a specific business name (”Dr. Bob’s Dental”)

* 19% used a specific service term to search (”root canal”)

(Respondents had the option of answering more than one)

Interestingly, younger respondents (18-24) were more likely to use a geographic modifier than older users in the sample. But overall 51% of the actual, local search behavior didn’t carry a geo-modifier - that’s striking.

It strongly argues that search engines should be serving locally targeted ads against commercial queries in almost all service categories where there’s no local modifier because the probability is extremely high that the user is looking for a local business. In addition, geotargeted ads tend to perform better for the engine and the advertiser.

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