Google offers the Firebase suite of application development tools, available free or at cost for higher degree of usages, priced flexibly accorded to features needed. The suite includes A/B testing and Crashlytics, Cloud Messaging (FCM) and in-app messaging, cloud storage and NoSQL storage (Cloud Firestore and Firestore Realtime Database), and other features supporting developers with flexible mobile application development.
$0.01
Per Verification
Google Analytics
Score 8.2 out of 10
N/A
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
Piano Analytics
Score 7.4 out of 10
Mid-Size Companies (51-1,000 employees)
Piano Analytics, formerly AT Internet, provides digital analytics to help customers measure their audience, optimise their digital performance and create value. From data collection to exploration, activation, and the sharing of actionable insights, the Piano Analytics Suite is designed to provide reliable high-quality data to enhance decision-making company-wide. Adapted to e-commerce, media, finance/banking, and corporate websites & mobile apps, the vendor promises an easy-to-use solution…
Firebase provides an event based data model with well defined pre-determined dimensions. Where I've seen the strength of other platforms is the user interface where data is analyzed. However, other platforms such as AEP also have advanced data cleansing and standardization …
Firebase came to a multiuse case for our product for authenticating backend services, users on the app & get data on the user base using the dashboard.
Google Analytics is a powerful web-centric analytics platform. We have tested similar products in the past from start-ups to more established web analytics platforms like Adobe and continue to select Google Analytics. More recently with the integration of Google Firebase into …
I used Facebook Analytics for mobile and web games but Facebook Analytics was discontinued. Google Analytics is more universal and is suitable for both web and native mobile applications. Facebook Analytics is more suitable for apps and games on web and mobile. For mobile …
Google Analytics obviously benefits from more functionality, the ability to track users and also integrate commercial revenue on the 360 GA - which would be a fantastic feature. In the tender process, GA did not have the …
For our department we prefer to use AT Internet because we have been trained and we know the tool well. However when we create new ephemeral mini sites (which is quite rare) we may have to use Google Analytics because the solution seems simpler and faster to integrate for our …
AT Internet is more comprehensive than Google Analytics. It allows you to make personalized requests, to access the API easily with high quotas. Other tools accompany the analytics solution and are included in the license. Data are also stored and processed in European Union …
To be very honest, it was a decision made before I joined the company. I think that if I had the choice, I would prefer to use Google Analytics from a media perspective. However, it is also a question of budget as Google Analytics Premium is more expensive.
Allows for more independence (vs. Google). The accuracy of the data is better (not a panel of data). Proximity (we can easily be advised by their team and get support).
Verified User
Consultant
Chose Piano Analytics
According to Gartner, AT Internet is one of the best web analytics solutions on the market. Adding to this, we wanted to make sure that we get a secure solution in terms of legal issues. Furthermore, when considering the pricing of AT Internet, this solution is quite …
AT Internet is more comprehensive and provides a lot of filters in easy ways, especially for websites that has various subdomains and pages used for different purposes. Also, the trend analysis and the ability to create reports and design them the way we want is very, very …
AT Internet has many advantages over both such as fully processed real-time data availability (vs. comScore/ Adobe), video and audio analytics (vs. Google) and enhanced support.
AT Internet is as easy to use as GA, if not more. AT Internet has a much higher respect for user data privacy than Google does and won't use it for advertising. Data stays in Europe which, given how the US has little respect for user privacy and given how unpredictable their …
Actually, AT internet did not stack up against other solutions. AT Internet is very expensive comparing other solutions. There are many open-sources and free tools in the market like Matomo. So we stopped to use AT Internet.
AT Internet has a poor user interface and it is very difficult and not intuitive to quickly find the relevant information. However, there are a lot of fields (dimensions & metrics), so I guess if you are used to using the tool, it is quite interesting but paid training is …
Firebase should be your first choice if your platform is mobile first. Firebase's mobile platform support for client-side applications is second to none, and I cannot think of a comparable cross-platform toolkit. Firebase also integrates well with your server-side solution, meaning that you can plug Firebase into your existing app architecture with minimal effort.
Firebase lags behind on the desktop, however. Although macOS support is rapidly catching up, full Windows support is a glaring omission for most Firebase features. This means that if your platform targets Windows, you will need to implement the client functionality manually using Firebase's web APIs and wrappers, or look for another solution.
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.
When it comes to web analytics AT Internet is well suited. We introduced AT Internet in 2017 after an evaluation project with other professional analytics solutions. Starting with our corporate website we quickly rolled it out to our customer experience platform, our webshops, and our corporate intranet based on SharePoint 2013. Especially the use in our intranet brought significant improvements over the standard analytics features SP 2013 is offering. The ATI tag systems with their flexibility allow us to include company-specific properties and thus making it possible for us to analyze our intranet usage on segments such as locations, branches, and so on.
Analytics wise, retention is extremely important to our app, therefore we take advantage of the cohort analysis to see the impact of our middle funnel (retargeting, push, email) efforts affect the percent of users that come back into the app. Firebase allows us to easily segment these this data and look at a running average based on certain dates.
When it comes to any mobile app, a deep linking strategy is essential to any apps success. With Firebase's Dynamic Links, we are able to share dynamic links (recognize user device) that are able to redirect to in-app content. These deep links allow users to share other deep-linked content with friends, that also have link preview assets.
Firebase allows users to effectively track events, funnels, and MAUs. With this simple event tracking feature, users can put organize these events into funnels of their main user flows (e.g., checkout flows, onboarding flows, etc.), and subsequently be able to understand where the drop-off is in the funnel and then prioritize areas of the funnel to fix. Also, MAU is important to be able to tell if you are bringing in new users and what's the active volume for each platform (Android, iOS).
Attribution and specifically multi-touch attribution could be more robust such as Branch or Appsflyer but understand this isn't Firebases bread and butter.
More parameters. Firebase allows you to track tons of events (believe it's up to 50 or so) but the parameters of the events it only allows you to track 5 which is so messily and unbelievable. So you're able to get good high-level data but if you want to get granular with the events and actions are taken on your app to get real data insight you either have to go with a paid data analytics platform or bring on someone that's an expert in SQL to go through Big Query.
City-specific data instead of just country-specific data would have been a huge plus as well.
Integrations with outside vendors: there are many ways to integrate data from outside vendors, however you can't display this information in every application unless you create a custom field, which can sometimes be limiting.
Access rights: there are two places to assign access rights and each place has slightly different functionality. You can get really granular with what each person has access to, but it is easy to miss a check box and have to go back and correct it.
Visualizations across applications: there are some really cool visualizations in the oldest application they support that includes predictive traffic estimates, automatic multi-period variations, etc., that aren't available yet in the newer applications.
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.
I gave this rating because I think that AT Internet is a good tool, user-friendly easy for onboarding and simple dashboards, however the majority of people use Google Analytics, especially media agency, it is easier for them to use Google Analytics.
I don't use the Firebase UI much, but rather connect it to GA4. GA4 has a great event model but the GA4 UI and analysis capabilities are limited. It's harder to measure product usage type of engagement but if you have the time and resources to leverage the GA4 to BiqQuery export you'll have all the raw event data you'll need for deep analysis, segmentation, and audience activation.
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
Overall the experience is very good, it's quick, relaiable and does everything I would want. The only problems I have are matching the correct stats to what I want. It can be painful trying to find the right thing and the explanations are not always the clearest. That's the only issue i've found though.
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.
I don't have any exemple in mind where AT Internet interface hasn't been available, i have always been able to use AT Internet when i needed it. The only issues to notice is that it happens sometimes that real time or D-1 datas are partially delayed.
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
Our analytics folks handled the majority of the communication when it came to customer service, but as far as I was aware, the support we got was pretty good. When we had an issue, we were able to reach out and get support in a timely fashion. Firebase was easy to reach and reasonably available to assist when needed.
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.
I have not used the Support Team thereby I am unable to review how their Support Teams works. However, in an instance where I had an issue, my concerned department contacted their support team and I was provided with the solution of the problem I was facing within a short span of time.
The in-person training unfortunately does not match to our expectations, was too much focus on digital basis and not on AT Internet functionnalties and how to use it. We paid for one day and only 15 minutes at the end was focused on our real needs in terms of media analytics.
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.
Before using Firebase, we exclusively used self hosted database services. Using Firebase has allowed us to reduce reliance on single points of failure and systems that are difficult to scale. Additionally, Firebase is much easier to set up and use than any sort of self hosted database. This simplicity has allowed us to try features that we might not have based on the amount of work they required in the past.
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.
AT Internet shows a deep understanding of our business objectives and provide us with ideas on how to solve them. They grant us enough time to try their tools and to be sure the tools are helpful. The data we've got in the Analyzer was manually checked and it was completely correct. Their roadmap was clean and aligned with our strategy
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
Regarding AT Internet possibilities, it could be adapted to small or large organizations, easy to set up. We can add sites in makets that we launch e-commerce.
Makes building real-time interfaces easy to do at scale with no backend involvement.
Very low pricing for small companies and green-fields projects.
Lack of support for more complicated queries needs to be managed by users and often forces strange architecture choices for data to enable it to be easily accessed.
Unfortunately, I do not have precise results to give, but the statistics provided by AT Internet make it possible to carry out in-depth analyses and to make good decisions.
You just have to know how to find the information and interpret it.
