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
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 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.
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.
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.
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.
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.
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.
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.
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.
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
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.
