Adjust by AppLovin vs. Factors.AI

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 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

By using Factors.AI, we identified some automobile giants who have landed on our site and are checking our products and services, by doing our research on LinkedIn and identifying the right decision maker, we were able to set up a high level meeting and convert them into an opportunity. The foundational pillar for that was Factors.AI

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Independently Invited by TrustRadius

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

• 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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Independently Invited by TrustRadius

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

• Easy no-code integration.
• Accurate data reporting.
• The ability to track advanced engagement metrics.

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Independently Invited by TrustRadius

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

• 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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Independently Invited by TrustRadius

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

• The speed/delivery of the platform can improve.
• The UI/UX can be made more appealing and functional.

Incentivized

Independently Invited by TrustRadius

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

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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Independently Invited by TrustRadius

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

Its too much of jumping of tabs in the UI. This can be made better. I see other tools have mastered this and have all the identification under a single screen instead of navigating between tabs. We could also iprove the traditional UI/UX interface and mix and match good colours to make the interface more appealing. Right now it feel a little traditional

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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

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

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Independently Invited by TrustRadius

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

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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Independently Invited by TrustRadius

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

The best part about Factors.AI compared to these other tools is that the intent identification is just another module in all other tools where as the identification part if the core business of Factors.AI, it does this perfecly well and accurately identifies companies that are visiting our site and have a decent buying intent. So i highly recommend Factors.AI for this feature.

Incentivized

Independently Invited by TrustRadius

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

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

Incentivized

Independently Invited by TrustRadius

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

• Factors.AI allowed us to have clarity on our marketing results.
• We saved a lot of money that could've been wasted in ad spend if we didn't have Factors.AI.

Incentivized

Independently Invited by TrustRadius

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