data.ai (formerly App Annie) is a mobile data and analytics platform designed to help customers create winning mobile experiences and achieve excellence. Founded in 2010, the company launched their mobile market data solution and in 2019 acquired Libring, an advertising monetization and spend offering, to expand their capabilities and comprise a complete mobile performance platform. The vendor boasts more than 1,100 enterprise clients and 1 million registered users across all geographies and…
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Google Analytics
Score 8.3 out of 10
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Google Analytics is perhaps the best-known web analytics product and, as a free product, it has massive adoption. Although it lacks some enterprise-level features compared to its competitors in the space, the launch of the paid Google Analytics Premium edition seems likely to close the gap.
$0
per month
Pricing
data.ai
Google Analytics
Editions & Modules
No answers on this topic
Google Analytics 360
150,000
per year
Google Analytics
Free
Offerings
Pricing Offerings
data.ai
Google Analytics
Free Trial
No
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Community Pulse
data.ai
Google Analytics
Considered Both Products
data.ai
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Chose data.ai
We use Google 360 and are able to do a much deeper dive into the activity we see on our apps. I think App Annie is a great starting point product, but for more in depth analytics, something like a Google 360 or Adobe might be better.
I think that App Annie will be handy for the companies that provide service in multiple countries - so they have to deal with local competitors research and track the performance of the app (by the position and by the reviews) in different stores. I think that for a one-country app, many of the features will be less relevant. At the same time, App Annie offers custom plans, so I see how the user experience can be different.
Google Analytics is particularly well suited for tracking and analyzing customer behavior on a grocery e-commerce platform. It provides a wealth of information about customer behavior, including what products are most popular, what pages are visited the most, and where customers are coming from. This information can help the platform optimize its website for better customer engagement and conversion rates. However, Google Analytics may not be the best tool for more advanced, granular analysis of customer behavior, such as tracking individual customer journeys or understanding customer motivations. In these cases, it may be more appropriate to use additional tools or solutions that provide deeper insights into customer behavior.
App Annie is extremely limited if you are on the free plan. While you can garner some golden nuggets from the free plan, it's extremely difficult to make needle moving decisions based on the free data. It would be great if App Annie would disclose pricing on their website, plus have a non-free/enterprise plan were you could pick and choose features they offer.
After nearly considering a paid plan with App Annie, I decided not to purchase because of the broken trust that stemmed from their sales team. I often got cold-calls from their reps - even when I never contacted them for a sales member to call me. I was bombarded for about 2 weeks straight with phone calls and hard-core sales emails with just asking to talk, no questions or personalization. This cold, unwanted and unwelcome outreach solidified my decision not to purchase.
Well the fact that the freemium features are all that I need right now, I will most definitely continue to use it on a daily basis. I might upgrade to the pro version in the future if I need more data than what I am getting now. But for now it works great for what I need.
We will continue to use Google Analytics for several reasons. It is free, which is a huge selling point. It houses all of our ecommerce stores' data, and though it can't account for refunds or fraud orders, gives us and our clients directional, real time information on individual and group store performance.
Google Analytics provides a wealth of data, down to minute levels. That is it's greatest detriment: find the right information when you need it can be a cumbersome task. You are able to create shortcuts, however, so it can mitigate some of this problem. Google is continually refining Analytics, so I do not doubt there will be improvements
We all know Google is at top when it comes to availability. We have never faced any such instances where I can suggest otherwise. All you need is a Google account, a device and internet connection to use this super powerful tool for reporting and visualising your site data, traffic, events, etc. that too in real time.
This has been a catalyst for improving our site's traffic handling capabilities. We were able to identify exit% from our sites through it and we used recommendations to handle and implement the same in our sites. We have been increasing the usage of Google Analytics in our sites and never had any performance related issues if we used Analytics
I have not had to contact support a lot of times. The few times I did, I got correct and lengthy responses, but they took some time to answer. Their product is very complete, so unless you have a specific question, you will probably not need to contact support at any time.
The Google reps respond very quickly. However, sometimes they can overly call you to set up an apportionment. I'm very proficient and sometimes when I talk to reps, they give beginner tutorials and insights that are a waste of time. I wish Google would understand my level of expertise and assign me to a rep (long-term) that doesn't have to walk me through the basics.
love the product and training they provide for businesses of all sizes. The following list of links will help you get started with Google Analytics from setup to understanding what data is being presented by Google Analytics.
I think my biggest take away from the Google Analytics implementation was that there needs to be a clear understanding of what you want to achieve and how you want to achieve it before you start. Originally the analytics were added to track visitors, but as we became more savvy with the product, we began adding more and more functionality, and defining guidelines as we went along. While not detrimental to our success, this lack of an overarching goal resulted in some minor setbacks in implementation and the collection of some messy data that is unusable.
We use Google 360 and are able to do a much deeper dive into the activity we see on our apps. I think App Annie is a great starting point product, but for more in depth analytics, something like a Google 360 or Adobe might be better.
I have not used Adobe Analytics as much, but I know they offer something called customer journey analytics, which we are evaluating now. I have used Semrush, and I find them much better than Google Analytics. I feel a fairly nontechnical person could learn Semrush in about a month. They also offer features like competitive analysis (on content, keywords, traffic, etc.), which is very useful. If you have to choose one among Semrush and Google Analytics, I would say go for Semrush.
Google Analytics is currently handling the reporting and tracking of near about 80 sites in our project. And I am not talking about the sites from different projects. They may have way more accounts than that. Never ever felt a performance issue from Google's end while generating or customising reports or tracking custom events or creating custom dimensions
App Annie has had neither a positive nor negative impact on our ROI or business objectives. Our team currently uses their free, very limited plan for data discrepancy with our main ASO tool. Otherwise, we have connected our apps and let the data flow in. We go in the account about once every 2-3 months.
With App Annie's data we have solidified that our other paid ASO tool we use has accurate data and that we will continue to pay for that tool. So in that regards, App Annie's provided us with a confirmation in our competitor ASO tool purchase decision.
