Screaming Frog vs Webtrends Analytics

• Crawling client sites of up to thousands of pages. Gives you almost every tool that you need to do a proper SEO audit.
• Custom extractions using CSSpath, Xpath, or Regex. I'm not even a techy, but their support section here is a huge help with the provided examples.
• Customer service and support - Dan is ALWAYS very prompt to respond with helpful answers on Twitter if needed.

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• Control privacy, data sharing and competitive industrial knowledge using Webtrends on premises
• Great control over custom reports, custom dimensions and metrics
• Flexible tool which allows multiple methods of data capture. To my knowledge it was the first tool with a Tag Builder / Tag Management function built in via a supporting website.

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• Requires Java. This isn't a huge deal as many computers already have it installed, but it's yet another 3rd party component.
• The free version has a crawl limit of 500 pages per site. This is fine for smaller sites, but if you're running a big e-commerce site then you'll need to pay for Pro version.
• The user interface isn't very pretty. This is an analytics tool so it doesn't really have to be, but it might be helpful for improving the overall user experience.

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• The big downside, the elephant in the room, is that it does not (as of right now) have on-demand segmenting, drilldowns, etc. You have to think of what you want in advance and create those reports then analyze some data. This is huge. You can, of course, re-analyze old data after creating new reports but you still have to wait. (This deficiency may become obsolete with the release of Webtrends Explore later this month (May 2014).)
• It has fewer mature integrations with other products and databases than competitors do, although I'm told it works with SharePoint better than anything else does.
• Its attribution modeling capability is behind Google Analytics'. In my humble opinion, this could be changed quickly if Webtrends would make some tweaks to its standard visitor history files (i.e. preserve the order in which past visits were sourced beyond the single most recent one, rather than storing all those past sources as a randomized list).
• It doesn't incorporate statistical tests, confidence intervals, or statistical associations. However, this same criticism can be applied to its competitors (other than A/B Testing products). It's a tabulation program, as they all are. In this respect, web analytics tools as a group are relatively primitive. Sorry to bring this up as a criticism of Webtrends but it's my pet peeve about the whole industry and I just have to say it. (p.s. take advantage of the heavy-duty Webtrends Scheduled Export functionality to get really granular data that you can feed to a stats program to get significances.)
• Although the documentation, help screens, phone support and the knowledge base have improved tremendously in recent years, there is still a pretty steep learning curve because it is different from the tools that entry-level users may have already been exposed to. This can be a shock and many users are alienated at first because they just don't get some of the fundamentals at first. I'd like to see much better help screens that are thoroughly interlinked with the KB and documentation. Having superb online support would make a world of difference with the adoption of this basically powerful tool.

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• Increased employee efficiency - We spend many less hours tracking down and reporting simple meta tags.
• Better Client Servicing - We are able to ensure we have a total look at a client's site before we recommend anything.
• True Pricing Structure - We are able to more accurately predict how much help a client may need based on factors such as size of site, number of redirects, proper use of meta tags, etc.

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• Webtrends has had a positive impact on site visitation because it allowed us to understand the sources by domain for site traffic and find out ways to increase visits from those domains.
• Webtrends has also allowed us to understand areas of optimization on the site, which has had a positive impact on the overall user journey on the site, likely leading to longer site duration and engagement.

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