Adjust Attribution vs Google Analytics 360 (formerly Google Analytics Premium)

• 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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• Easy to use big data tool with impressive dashboards.
• Easy to start with. Quick implementation on the website owner side.
• Custom variables and custom metrics.
• Very good user location profiles and analytics.
• A session unification feature that allows identifying "clicks", or in other words visitor behavior, before the Google user ID was assigned. This would make the statistics a bit more precise (yes, we have solved a case benefiting from this feature).

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• It would be great to have a view where I can aggregate charts of all my platforms combined (ios android desktop mobile site).

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• Ecommerce -- Unfortunately, at this time, I just wouldn't recommend Google Analytics Premium to a retail/ecommerce brand. The product is missing some key metrics and reports such as product views, add to cart, abandoned products, cross sold product basket analysis, etc. Clients in the retail sector struggle to use events to hack together these data points that are out-of-the-box with other analytics tools. Once Google overcomes this obstacle, they will truly be a force to be reckoned with.
• PII - Personally identifying information is allowed in other tools such as IBM Digital Analytics and Adobe Site Catalyst. The inability to pass something as simple as an email address into an enterprise analytics tools like Google Analytics Premium is not only an annoyance, but a barrier to integrations with other tools such as email marketing platforms.
• Add Ons -- Vendors like IBM and Adobe are building out awesome add-ons that boost the value of their product offerings. For example, IBM offers Digital Recommendations (previously known as Intelligent Offer), which uses analytics data to serve up real-time intelligent product recommendations on a site. This integrated add-on provides a ROI and further incentivizes the brand to stick with the IBM product suite.

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• It had positive impact because it allows tracking data without sharing it with Google
• It's easy to integrate with all channels and many platforms, such as AdWords, Facebook, Twitter, etc.
• By creating audiences, we've targeted most valuable users to the business

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• Reduction in need for several analytics and marketing tools
• Better decisions based on better, more complete data. We can now look at several custom metrics we never looked at before
• Better overall marketing and ROI instrumentation over multiple segments, even via phone calls on mobile.

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