AB Tasty vs Coveo Relevance Platform

• Customer-focused. Over the past year, AB Tasty has worked with us to overcome many obstacles (e.g. tracking hurdles, ITP issues, etc.). The team always finds a solution in a timely manner to ensure we're able to execute on experiments.
• Reliability. One of the biggest hurdles earlier this year were the ITP regulations set out by Apple. Over 40% of our ad traffic was Safari users. AB Tasty was using 3rd party cookies but quickly migrated over to a local session storage solution that circumvented the issue.

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• 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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• Sometimes the platform is a little glitchy and requires a refresh.
• Would be great to be able to see the experiments and projects on a timeline with their status and main result to have an immediate view of ongoing and completed projects.
• Email notification for when an experiment reaches a certain confidence level.

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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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• Since we use AB tasty our conversion rates have significantly increased on the Watch pages.
• We can report positive comments about the evolutions of our interfaces, from our expert users. And so improved customer satisfaction.
• The solution allows us to validate or invalidate without taking major risk while gaining in reactivity, our proposals relook pages.
• Commitment rates are much higher, multiplied by 2 or 3, when we implement customizations that are relevant. These customizations are very relevant insofar as we are governed by the seasonality of events as a media site.

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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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