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
Pendo.io
Score 8.4 out of 10
N/A
Pendo.io is a product engagement platform with features for in-app analytics, surveys and feedback, and guidance.
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 …
Pendo is a lot easier to set up than Google Analytics, in my opinion. As a non-developer, it is important that I can go in and tag what needs to be tagged without having to fight for dev resources. Compared to WalkMe, I think Pendo just offered more customer analytics and was …
Verified User
Program Manager
Chose Pendo.io
Google Analytics shows a high overview of how a page is performing. Unable to track individuals performing each action.
Heap was an excellent option. We also wanted to have the onboarding experience built-in as well, which is why we ultimately went away from them. I did speak to current users, and they loved the functionality of that platform.
I have used both Google Analytics and Pendo in the past. Basic functionality in terms of usage monitoring is similar. Because it requires enterprise licenses, so the decision comes from leadership instead of product managers like me, I don't have a strong preference. But Pendo …
I have just very superficial experience with Google Analytics but I do believe that Pendo.io is a much much better tool in pretty much all aspects of it. It has a ton more features and capabilities and even for the capabilities where there is overlap, Pendo seems to come out …
Pendo.io is better at tracking than Google Analytics, and Adobe Analytics takes a lot of setup to get similar coverage. Pendo.io works so well straight out of the box. Also, the historical data that can be accessed once creating a new feature is incredible.
Pendo.io is specifically for Product Management team keeping Product Managers persona in mind. In App guidance & NPS is a plus for Pendo.io. Opposite to User session based insights, Pendo.io gives overall insights keeping user at the center and allows easy segmentation of users.
Pendo.io was designed for product managers. It combines the goodness of several tools I used in the past into a one-stop shop that keeps me on top of many aspects of my job.
Verified User
Manager
Chose Pendo.io
Better UI, pricing model, and data available. Most tools are either data tracking or surveying tools. Pendo is something in between.
We felt for our needs Pendo had a better fit for onboarding and ease of use by groups outside of Product. I think this still holds true and it's been easy for us to onboard into our product code.
Features
Firebase
Google Analytics
Pendo.io
Web Analytics
Comparison of Web Analytics features of Product A and Product B
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.
Pendo.io is useful in generating great dashboards that present user analytics in the best possible view that could be used for analysis & derive key insights on what could be done if there's a feature that's not being recognized by end users or if there are any pain points where users are struggling more around a workflow which is technically not that difficult. Pendo.io also can be used to create impactful guides where intercatoin of a user with the Guide can be created in less steps & have relevant information about that workflow that the user is completing. Pendo.io's resource center can act as a one stop hub to present any sidewide updates which could be information of Prod releases, New KB Articles, Register to any event, & much more. Segments can be created in as many variation as one can. In fact, Segments are the ruling property or feature that works so handy, which reduces a lot of iterative work.
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.
Preview is problematic if the Pendo.io user doesn't have access to the target environment or application where the guide is going to display
It would be ideal to have a gallery of thumbnail images of previously used guides to select from, either to pull a screen capture or to use as a template. It's cumbersome to go to the guides, find the one you want, click on Preview, etc.
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.
We have had an excellent experience with Pendo. When we've had questions or concerns, Pendo is very quick to respond and communicate with us. We have experienced top-notch customer support and customer engagement. We have actually modeled some of our implementation and product processes after Pendo's examples.
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
It is intuitive for core tasks like tracking feature usage, building Guides, and viewing dashboards. The interface is clean and well structured, making it easy for product managers and operational teams to get value quickly without heavy technical support. However, there is a noticeable learning curve when setting up advanced custom events, reports, or integrations, which can take some time and internal knowledge-sharing to master.
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.
Every time I have logged into Pendo, the service has been available for me to use. The page has never been down when I am trying to get info from there.
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.
They've been great anytime that we have needed help with something. They also have some really great help articles. We're able to figure most things out through their articles, but when we've had to call in they've been very helpful and we haven't had any problems. I'd highly recommend working with them.
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.
The training schedule was well thought out and tailored to meet our needs. Chantelle stayed with us through the whole implementation and made sure that we were good to go.
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.
I have just very superficial experience with Google Analytics but I do believe that Pendo.io is a much much better tool in pretty much all aspects of it. It has a ton more features and capabilities and even for the capabilities where there is overlap, Pendo seems to come out ahead easily. There are aspects that Pendo could improve for sure such as what metadata it captures from the users; an example of this is screen resolution which Google Analytics captures but Pendo does not.
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
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.
Reducing development time with in-app guides and resource center, with product management being able to agilely create guides in real time, this could be as much as 1 full time developer in savings.
Reducing business time scoping "rock fetches" than are proven to be invaluable based on analytics, each time 1 single piece of analtical data saves around ~20 hours across multiple resources.
Increasing user satisfaction with in-app guides and resource center
Increasing usage of key features through targetted messaging, those key features either drive costs ou of our business or add value to customers business.
