AdRoll vs. Adjust by AppLovin

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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According to my experience, I was able to integrate the Adjust by AppLovin to my marketing channels so that I made better and more detailed measurements for our apps. It was working with other 3rd party and marketing platforms very well. We analyzed the customer journey better after they downloaded or deleted the app. And user information is not kept inside the app makes it very trustable.

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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.

• Tracking installs on mobile app campaigns on Android or iOS, as well as UAC campaigns.
• Tracking in-app actions on our mobile campaigns.
• Showing more accurate numbers, since it counts pure installs from new users only without counting re-installs,
• Counts installs only after first opening of the app, while Google and Apple count also downloads even if the app doesn't get installed or opened after.

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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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• UI is very confusing and needs a refresh.
• Reports are very limited and need more granularity.
• Onboarding program for agencies lacks concrete information.

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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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We are happy to use Adjust by AppLovin in our measurements and effects on the business, so the company would like to renew our use.

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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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Adjust Attribution is great on Amplitude if tagged/integrated right.

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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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I would recommend AppsFlyer over Adjust, as they have a better UI, clearer solutions, and better customer success than Adjust. Regarding Singular, Adjust is lagging behind the reporting tools and analytics.

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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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• It has helped us stop fraud, improving ROI.
• Cheaper than the competition improving ROI.
• Helped us identify non performing media channels, improving ROI.

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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