Analytics Blog Posts

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Portent Placeholder Analytics

15 Dec, 2005

Watch AskJeeves

By Ian Lurie

A couple months ago I started telling folks to watch AskJeeves, now that Barry Diller is at the helm. A quick update: Nielsen is reporting that AskJeeves has seen a 77% increase in search queries. They still only hold under 3% of the market, but at this rate they could theoretically surpass AOL in the… Read More

Portent Placeholder Analytics

7 Jun, 2005

Internet Marketing ROI

By Ian Lurie

Do you know what your Internet advertising campaigns are earning for your business? Really know? The Internet’s the only place where you can precisely measure advertising and marketing performance. But most folks I talk do have very little idea whether their search engine optimization, pay-per-click, banner or e-mail campaigns are actually earning more than they… Read More

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Portent Placeholder Analytics

29 Mar, 2005

Prognostication: Google buys Urchin

By Ian Lurie

Google bought Urchin today. Here’s the link. Yes, I’m patting myself on the back – I’ve always loved Urchin’s product. But what does this mean for Google, and for my favorite web analytics program? My guess is that this is the end for Urchin’s server-side software. I’d be surprised if Google continues to support it.… Read More

Portent Placeholder Analytics

27 Sep, 2004

Analyzing SEO Results

By Ian Lurie

At first glance, measuring the results of a search engine optimization campaign seems easy: If you get a high rank for the keywords and phrases you’re targeting, then it’s working. If you don’t, then it’s not. But good, organic search engine optimization often brings unexpected results, by getting you high rank for terms you didn’t… Read More

Portent Placeholder Analytics

20 Mar, 2004

Hits, Sessions and Visits: Reading A Traffic Report Accurately

By Ian Lurie

Standard web analytics packages, such as WebTrends, Urchin and Webalizer, provide a wealth of information about your site's performance. But which information matters? Hits? Visits? Pageviews? Sessions? Maybe all of the above, but you need to understand what each statistic means if you're going to make sense of it all.

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