Coveo Relevance Platform vs Webtrends Optimize

• Searching a large set of documents is very fast
• Support for faceted searching
• Supports synonyms through an admin panel or via an external file
• Out-of-box controls for rendering search, results, and faceting.
• Customization allows for more flexible implementations
• .NET hooks exist allowing code to be injected into its indexing process. This allows for more advanced taxonomy indexing (for example inspecting semantic information during indexing)
• Items published via Sitecore are automatically indexed (within a minute or two of publish time)
• Out-of-box support for ranking files attached to pages (PDFs, DOCs, etc) based on search term relevancy
• Supports ranking certain file types above others (giving PDFs more weight than DOCs, etc)
• Out-of-box support for crawling web pages from multiple sources. Each source can be configured with different crawl frequencies.
• Coveo 7 introduces a JavaScript search interface in conjunction with a new REST API that you can use as an alternative to the out-of-the-box Coveo .NET search interfaces. This is also customizable and even supports templating engines like mustache and underscore.
• They have a StackOverflow-like forum where you can get assistance from the community: https://answers.coveo.com/ .

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• Intuitive test set-up makes for a low learning curve.
• Ability to create custom data tables which enable exporting of visitor level data for more in-depth analysis outside of the Webtrends Optimize platform.
• Visual Editor WYSIWYG interface enables non-technical users to easily execute basic tests.

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• UI changes were cumbersome and timely to make changes to based on business requirements and user feedback. We were not able to optimize in the UI due to the constraints.
• Analytics in the version we had were very poor. UI was built in Silverlight with no exportable version to be able to perform further analysis of data. Many product suggestions around additional metrics needed.
• We struggled around data ranking and relevance due to the amount of unstructured data that we were indexing. This caused user adoption issues. This service and guidance was something that we were never really able to get from Coveo with my time using the product. The relevance controls were very simplistic and did not give us much control.

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• The cost is a factor. When you're trying to save money, particularly as a startup (a lot of our clients are up-and-comers) it has to be seen as an investment...but the cost to implement the system is fairly large.
• There's a bit of a steep learning curve, you can't just dive into the program.
• It's not impossible but it's not as easy as snapping your fingers to easily implement the program cross-platform.

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• Quick to find things in a massive database when needed.
• Results need to be more concise - sometimes we spend more time looking for the right file than if we were to just search amongst our own networks instead.
• Coveo is not always the most useful but does its job when general information is needed.

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• So far we haven't seen an ROI that we can accurately measure due to only running a couple of tests that haven't resulted in direct, site wide changes. However, we have learnt a lot about how to set up the right processes and documentation.

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