Google Universal Analytics (discontinued) vs. WebEngage

As I have discussed previously their insights were very useful. The second thing is since it is a Google product you will connect the data very easily from other platforms like Bigquery, Google Drive, etc. and even you can connect Google marketing platform. through this tool, you can track your live campaign how they were performing, and how it will be engaging your customer as well.

WebEngage can easily reduce turnaround time for product and marketing teams to execute marketing campaigns for specific user segments as well as remove any dependency on internal tech teams for the development and maintenance of automation journeys. Further, A/B tests can be executed to measure the performance of message variants in real-time directly from the panel. But WebEngage lacks a robust Analytics platform. While basic metrics such as open rate and click-through rate for messages being sent can be considered for reporting, attribution is still not the strongest suit in case the marketing team relies on multiple Ad networks for acquisition. Thus, as per experience, it's better to use the automation suite offered by WebEngage with a different data analytics platform.

Incentivized

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• It is an excellent cloud analytics platform that is easy to install and configure and easy to deploy and use, allowing us to measure web traffic and other tools.
• It is an entirely online tool; it does not take up hard disk space like other desktop tools.
• Since this tool is draggable, Google is constantly adding more features.
• Even beginners who do not have a custom dashboard can get information. If there is a problem somewhere on the site that needs to be investigated, Google Analytics 360 will notify you.

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• Ease in creating user journeys.
• Easy implementation of APIs.
• Good reporting dashboard and scheduling features.
• Segmentation of the users is easy.

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• Generally I think there is a lot you can do within the tool, but as it is a Google product it means there is limited support - something which I think lets all of the platform stacks down
• There could be more visual signifiers to identify if a feature is a normal or 360 feature. This would mean you can really get to grips with what the extra more advanced elements are

• Relays
• Onsite should have more options of templates.
• Backend support for better reachability of the channels.
• Cohort studies should be more customizable.

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Independently Invited by TrustRadius

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Google Analytics 360 is an upgraded version of the most widely used web/app analytics tracking tools in the market. The price is stable and predictable making it a long-term product of choice. It's easy to use and pairs so well with other Google Marketing Platform products.

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The UI is very easy to navigate and use. The features are well designed and intuitive. As long as the user has a good understanding of basic digital analytics definitions and capabilities, this tool should be quite easy to use. I consider Google Analytics Premium to be the easiest of all of the enterprise solutions out there to use.

If you purchase Premium through a reseller like LunaMetrics, you are going to be taken care of. The additional amount of support and services that a reseller provides to make sure you have the best experience with the product is the reason why the reseller program exists to begin with. Support doesn't have to be just reactive, it can be proactive as well.

There is a ton of information online about Google Analytics, but Google Analytics Premium users will have dedicated support and training from Google or an Authorized Reseller.

If you already have the basic version of GA installed, "getting" GA Premium happens immediately through a virtual flipping of the switch - no need to re-implement. You'll want to expand your use of custom dimensions and metrics (you get 10x the amount with Premium). Ideally, you'll be using a tag management solution to talk with GA Premium, in concert with implementing a dataLayer (to note, Google's Tag Manager platform is covered under the same GA Premium SLA, and it's free). There are some welcomed "configurations" with GA Premium, such as integrating with DoubleClick products, activating data driven attribution models, and building roll-up executive reports - but all of these are easy point and click solutions. In comparison with any other enterprise analytics solution, implementing GA and GA Premium is traditionally easier and more flexible. And if you have any trouble or need an extra set of hands for implementation, GA Certified Partners like LunaMetrics can help

Unless you have very complex and edge case analytics needs, Google Analytics [360 (formerly Google Analytics Premium)] is likely going to be the best choice. From both a cost and usability stand point, Google wins. Adobe has the edge case when you need to create really custom reports, dimensions, metrics, etc. In my experience, this is rarely the case and you end up biting off more than you can chew. Stick with Google unless you are or plan on hiring an Adobe Analytics expert.

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WebEngage's dashboard is relatively more intuitive and easy to understand. Further in terms of cost as well it is value to money as it delivers excellent ROI. The after-sales support is also better in terms of responsiveness and helps in case of issues with the execution of campaigns. The account managers also ideate and help in the optimization and creation of new user journeys.

Incentivized

Independently Invited by TrustRadius

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• It helps me understand which social media platforms are most successful for me - which I should focus on and which I might want to focus less on.
• I can also see which blog posts people are reading - so I know which topics resonate most. I can write more of those, hopefully gaining more visitors.

Incentivized

Independently Invited by TrustRadius

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• Helped in lowering cost of marketing.
• Driving higher volume of Direct Sales.
• Increasing conversion rate on the website.
• Increasing lead to sale ratio.

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