AdRoll vs. Kevel

Adroll is perfect for companies and situations in which you are trying to retarget customers with specific products. Their platform is perfect for dynamic content on their web and social ads. Also, if you are running multiple campaigns at once then the Adroll platform is perfect when organizing many different campaigns at once. If you are just running one or two social campaigns I feel it is easier to go directly to the source and you can probably leave Adroll out of the mix

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For ad serving, implementing client-side header bidding with prebid was actually easier with Kevel than it is with Google Ad Manager in most cases, particularly for display advertising. I found though that with more complex integrations (like video), there were more solutions and code snippets available with other larger ad servers (Google).

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• A customer service rep can help us out with any campaign questions, any time during the work week.
• The platform has a very transparent platform that provides great detail about analytics of the ads.
• The platform shows what digital advertising mediums are working the best for your website, not just the ads that you run through them.

• More personable team that can address customizations needed to the product.
• Easy to use interface.
• Frequent product updates with notifications via email.
• Well documented API.

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• Improved level of support during the technical setup process would really improve the onboarding process
• Consistent, proactive account management is key with organizations like AdRoll. A dedicated rep goes such a long way.
• More granular reporting would help with back-end optimization and client recommendations

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• User interface could be faster to load.

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We like AdRoll as it's filling a hole in our advertising right now, but it's not our favorite platform for running our online ads. Google and Facebook especially are our favorites, as we can do much more with them than we can with AdRoll, hence the 7 out of 10 rating.

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Once tags are given and things are set up, it is fairly easy to utilize the reporting dashboard and check in on your ongoing campaigns. Metrics are simple to follow and can be toggled for specific dates or other qualifiers

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We don't use AdRoll support much, but when we have it's been fine, in line with other advertising platforms where it takes a few days maximum to resolve an issue that you have with them. In general though, the platform is very self sufficient and we do not have to use their support much, which is a good thing.

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Implementation was easy, as all we needed to do was use Google Tag Manager's built in AdRoll tag type and input our client ID and we were up and running. If you're not using Google Tag Manager, I imagine the implementation would be relatively easy as well, as all that's needed is a basic pixel.

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AdRoll is better than Taboola in that the ad creation process. I like how the ads have better retargeting than Taboola. Also, I can make the ads look more elegant and fit our brand more than Taboola. Adroll's analytics are also better than Taboola in my experience. Lastly, Tabool is relatively the same price as Taboola.

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Kevel was an easier initial implementation for header bidding with prebid. The team worked alongside us to make sure everything was operating as intended. We ultimately switched to Ads Manager to access AdX demand and other features that were not possible with Kevel (for instance, EBDA). There are benefits to both but I appreciated the attention we got from Kevel support when we were first working through the implementation. We are still using Kevel for many things, just not as our primary display advertising ad server.

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• Mixed - while the tool provides an invaluable productivity gain the actual ROI it provides is less certain. We found if used in combination with other revenue analytics it was useful to determine the impact it had on revenue from returning visitors. If data is used on its own the impact on revenue is less quantifiable.

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• Kevel enabled us to get up and running with client side header bidding when our team was still small and the technology was still new. This improved our ability to monetize our inventory.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info