Coveo Qubit vs Dynamic Yield

• Qubit platform uses solid testing algorithms and delivers reliable reporting and analytics of testing campaigns. The dashboard section is easy to use and provides a good high level overview of the core campaign metric performances.
• On-boarding and implementation of Qubit technology was painless and well handed throughout the entire process even with more complicated platforms.
• Turn-around time for development and testing of campaigns is extremely fast. This enables the business to have a much higher throughput of tests and allows for quick validation of ideas rather than having to wait for months before a test is ready to go live on production site.

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• Provide fantastic support, both in relation to strategy/best practice and troubleshooting.
• An easy to use interface, as a user who is relatively new to Dynamic Yield I find that it is an intuitive platform to use.
• The ability to segment and drill down on data allows for really specific insights which, whilst not necessarily being leveraged on a testing basis, can be super valuable from a greater marketing perspective.

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• While they do work very closely with us, especially our success manager, more involvement on a technical level or a dedicated engineer, would be a great advantage. We develop a lot of experiences in house and, like all companies that dev in house, we have our own way of working. A dedicated engineer that got to know us better as well and understood how we work could only help. Sometimes, a few errors can get through QA due to this.

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• Greater flexibility for the out of the box templates - things such as typeface are not consistent and can require developer time to ensure a seamless site experience
• Exporting datasets don't necessarily reflect the way Dyanmic Yield is implemented on site, occasionally requiring that you go through experience by experience to extract the data you want
• I would like to see a more customizable homepage dashboard with the ability to modify the content of widgets, showing trends across multiple experiences rather than just being able to update the timeframe for a widget between Yesterday, Past 7 Days, or Past 30 Days before having to deep dive into a full report

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• Faster recognition of customer needs - finding out exactly what customers are doing when they come on site.
• Assessment of online assets for effectiveness and improvements - facilitated the analysis of 500 online feedback questionnaires for a campaign.
• Mapping out lead conversion and helping identify opportunities to improve it.

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• Most tests have had a positive impact on either revenue or conversion rate - quite often in double digits.
• Dynamic Yield has also helped us to stop some particular initiatives through direct interaction with the customer base via questionnaires or by a test proving negative quicker than rolling out a permanent feature.

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