AB Tasty vs LiftIgniter Real-time Personalization Platform

• Ab tasty helped us to very easily create promotional pop-ups to highlight our gift with purchase operations. It allows us to be very prompt in launching a gift and promoting it.
• We had some refresh to do on our portrait version on tablet, and AB tasty helped us to target the tablet in portrait, and to display a message suggesting to pivot the tablet to have better navigation. It helped us to avoid having to do development to display this message.
• We had really different point of view regarding up-selling banners. AB tasty helped us to create an AB test allowing us to compare conversion rate and average basket with respect to the up-selling banner was displayed or not, and helped us make a decision thanks to concrete results.

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• It does a good job recommending content that is related to the current story a user is on.
• It does a good job not recommending content the user has already viewed.
• It does a good job being a recommendation engine for disparate sites with related content.

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• Occasional glitches within the visual editor, especially with responsive content.
• Better debugging tools when testing experiments locally i.e. a preview environment.
• Occasionally when adding goals in to the reporting tool, they will not load immediately.

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• If the content being recommended is not related to the current story we are seeing a smaller click through. This scenario can be turned or improved.

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• We got many insights and validated improvements to design our new website (+3% CR Desktop and +23% CR mobile).
• We saved hundreds of hours on implementations without IT support.
• We spent a lot of time with an initial incorrect CRO project.

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• We have seen a better click through on recommended content after implementing LiftIgniter.

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