We used it for data inboards and exposure.
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A GAME CHANGER TOOL FOR A DIGITAL PRODUCT
What do you like best about the product?
The possibility of handling my data govern in a DATA with the govern add-on is the most impactfull feature. But having the possibility of grabing experimentation data into the analytics metrics for the filters is impressive.
What do you dislike about the product?
I have some limitations with exporting data because it doesn't apply my govern modifications and event-name transformations. But, the realtime compensate :)
What problems is the product solving and how is that benefiting you?
- KPI's understanding
- Path of the user journey
- Understanding my Drop-off of my e-commerce based on the behaviour of my customers
- Path of the user journey
- Understanding my Drop-off of my e-commerce based on the behaviour of my customers
Reliable mobile & web analytics
What do you like best about the product?
All the basic functionality works well, and the product is constantly updated with new ways to better understand your customers.
Helpful team, ready to assist
Helpful team, ready to assist
What do you dislike about the product?
Sometimes, I would be happy to receive more use cases for those new functionalities :)
What problems is the product solving and how is that benefiting you?
Business intelligence for app and web products
Great Self-Serve Analytics Tool
What do you like best about the product?
Amplitude Analytics is a huge unlock for my company, which has over 500 users a month gaining value from Amplitude Analytics and Amplitude Audiences. The combination of both creates a valuable feedback loop, where stakeholders can use Analytics to understand their product, create marketing campaigns to improve usage, and understand how the campaigns impacted the bottom line.
Amplitude's self-serve nature is crucial both for enabling non-technical users to get value from our data, as well as for saving time for data scientists and other technical users. Data scientists love that Amplitude makes it easy to create dashboards so that they can dig deep spending their time on complex custom analyses
Amplitude's self-serve nature is crucial both for enabling non-technical users to get value from our data, as well as for saving time for data scientists and other technical users. Data scientists love that Amplitude makes it easy to create dashboards so that they can dig deep spending their time on complex custom analyses
What do you dislike about the product?
It can be buggy. The team moves fast, consistently releasing new features, and this often introduces bugs in existing functionality
What problems is the product solving and how is that benefiting you?
It frees up resources: non-technical users can self-serve to gain insights, and technical users save time using Amplitude instead of writing custom queries
The main way I learn about our product usage
What do you like best about the product?
I use it every day, couldn't live without it. I have probably created 1000 segmentation and funnel charts over the last few years of amplitude. Quick, easy tools, critical for understanding broadly "what's happening in my product?" Love the active use % rate and engagement matrix.
Love intercom as a way of getting support and leaving feedback.
Love intercom as a way of getting support and leaving feedback.
What do you dislike about the product?
Our taxonomy internally had to be compressed to very generic event names because we had too many events and hit our billing limit. Now events are distinguished by custom properties, but this means they are impossible to read on charts e.g. "workflow:started where screen=dashboard" is all you get - keeping in mind we have TENS of events where this could be true. The current workaround is using custom event names but this is still a ton of clicking.
I also want sankey diagrams. Some funnels branch in multiple places and the current linear view is not helpful.
I also want sankey diagrams. Some funnels branch in multiple places and the current linear view is not helpful.
What problems is the product solving and how is that benefiting you?
Understanding feature performance after launch - is it actually reaching users? Are they doing what we intended them to do? Who are our user personas?
Data from Amplitude has good properties for segmentation. allows real-time tracking, segmentation, and have a complex architecture
What is our primary use case?
How has it helped my organization?
We had to integrate Amplitude into our system and enable import and export features. I worked with it in my previous company, where I integrated Amplitude with the app. We could import and export data, events, and user properties from Amplitude to our system. Amplitude collects the data, and we could have that data in our system so clients who use the app could also have access to Amplitude.
Real-time analytics:
We enabled real-time analytics in our app product, but it's our customers who utilize these features for their business use cases. We allow real-time tracking, segmentation, and have a complex architecture.
When we receive an event, we process it through our Kafka clusters, and consumers get their relevant events. Tagged segments track changes in events or user properties. Whenever an event qualifies for a particular segment, the track segment is updated.
What is most valuable?
Segmentation is nice. We mostly generate our data so it can be effectively segmented. The data from Amplitude has good properties for segmentation.
Other areas like cohort analysis, defining key events, and user properties were also well-suited for Amplitude. It is an easy tool to use.
What needs improvement?
A few things could be improved. The part that we used didn't need much improvement, but for end-users, the real-time analytics based on Amplitude's data could be improved.
- The visualization of the properties can also be enhanced. Basically, the visualization could be better, and the real-time analytics can be enhanced.
- Currently, real-time analytics still has some delays. Amplitude could reduce latency to provide faster insights. For visualization, they could have more charts and graphs to give users a better picture of their data.
- The query builder could be improved. Simplifying the query builder with a better interface would make it easier for regular users. It might be easier for developers right now, but going forward, Amplitude could make it more UI-based.
For how long have I used the solution?
I have been using it for a year.
What do I think about the stability of the solution?
We had a support team. If we encountered bugs or needed assistance with any feature, we could contact them on their channel, and they would extend their support.
I personally didn't face any stability challenges, but other people working with them would usually post requests for support. If we wanted to make some changes to their common APIs, we could raise a request or create a pull request in their common repos.
I would rate the stability a nine out of ten. Its uptime and reliability are good. We didn't face issues with that. But why not ten out of ten because there are still areas for improvement. For example, the latency part. Reducing latency would improve real-time data processing. Also, Amplitude could have more detailed errors that could help make the system more stable. If users know the reason behind an error, they would understand that the system is still stable.
What do I think about the scalability of the solution?
The scalability was also good. We could handle large volumes of data efficiently.
It can handle large volumes of data and process real-time data. We can also get insights from it. The schema is flexible, which is a major concern for scalability. We can do a lot of horizontal scaling. It is available with Amplitude.
Scalability is good, but there might still be some areas for improvement. So, I would rate it nine out of ten.
How are customer service and support?
The customer service and support were responsive and had multiple channels for interaction, such as email, chat, and phone. They responded in a timely manner, especially through email.
However, they didn't offer 24/7 support, which would be more useful.
How would you rate customer service and support?
Positive
How was the initial setup?
I didn't have much difficulty with integration or setup because I had the required documentation.
They already had steps for installing the Amplitude SDK and the initial setup with the API key, so it wasn't challenging.
Deployment time: It would have taken a couple of days.
What was our ROI?
It is worth it because it collects high-quality data. For "cost efficiency" or "worth the money." What you give and then what you get. If I have to evaluate based on that, then it's like an eight out of ten.
It gives a good amount of utility for the cost we pay, like scalability and user-friendly features. Most of the things are user-friendly.
Overall, you can get a good experience working with it, even though it's a little higher on the pricing. If you're considering whether it's worth it in terms of money, you should look at your scalability needs.
If you anticipate that your data volume is going to increase a lot, then you have to consider the packages they offer. It's more of an analysis that you have to do based on your particular use case.
What's my experience with pricing, setup cost, and licensing?
Pricing is a little on the higher end, especially when considering scalability. The cost goes up significantly with larger volumes of data. Better cost management could be implemented.
What other advice do I have?
I would completely recommend it.
- Considering scalability, cost efficiency, and other aspects, I would give it an eight out of ten.
- For features, capabilities, and scalability, I'd give it a nine out of ten.
- For stability, I'd also give it a nine out of ten.
- For support and cost-effectiveness, an eight out of ten.
- Regarding integration, it has been effective and good, but with some other similar tools, it has been even more seamless. So, for ease of integration, I would also give it an eight out of ten.
Overall, considering all five factors, it would be somewhere between eight and nine. So, I'll rate it an eight out of ten.
The best tool for a product manager
What do you like best about the product?
The best thing about amplitude is the amount of data it's able to process. A lot of complex analysis & calculation can be done easily on Amplitude.
Also whenever we have faced an issue, the customer support from amplitude has been fast & prompt.
Also whenever we have faced an issue, the customer support from amplitude has been fast & prompt.
What do you dislike about the product?
Maybe user interface can be a bit easier.
What problems is the product solving and how is that benefiting you?
It really helps me with complex analysis to figure out answers for my queries.
Review by Bohdan Korzh
What do you like best about the product?
Dashboards and event management are good, it is also very flexible to operate event properties and have smart alerts
What do you dislike about the product?
There are several things that would be very helpful for cohort analysis and funnel analytics:
- There are only step to step conversions over time, sometimes it is not very efficient to locate drops in such way - you have either to copypaste data to google sheets either to download, given the fact above integration with Google Sheets or posibility to add table below the plot to dashboars would be very handy
- Also data tables calculate events in total and groupping events in funnel style for every day is not availabel - you can only aggregate by periods and compare the corresponding day timing on one week to the same day on other week, what do I indeed need is to have possibility to build funnel like tables for each day in period separately
- There are only step to step conversions over time, sometimes it is not very efficient to locate drops in such way - you have either to copypaste data to google sheets either to download, given the fact above integration with Google Sheets or posibility to add table below the plot to dashboars would be very handy
- Also data tables calculate events in total and groupping events in funnel style for every day is not availabel - you can only aggregate by periods and compare the corresponding day timing on one week to the same day on other week, what do I indeed need is to have possibility to build funnel like tables for each day in period separately
What problems is the product solving and how is that benefiting you?
- I use amplitude for multiple purposes - from A/B testing to daily metrics checks and drop investigations
Best tool for understanding user/product data
What do you like best about the product?
They make it so easy to see key views on product metrics. Our team uses the Segmentation and Funnel charts constantly, and occasionally some of the other ones. Funnels are especially great and have many advanced settings to get the perfect view. We love how easy it is for other less technical team members to adjust/manipulate charts.
What do you dislike about the product?
Unfortunately, we've had very negative experiences on the customer support/sales side. It seems Amplitude knows that our data is stuck in their platform and we are unlikely to migrate elsewhere, so they offer absolutely no help. We were attempting to purchase an upgrade feature, "Accounts Add-on", and received zero help in the implementation. We were forced to spend weeks building a workaround due to a limitation that does not let existing projects add an "Accounts" field to historical data.
What problems is the product solving and how is that benefiting you?
Understanding how many active users we have for each feature and product, and understanding funnels, conversion rates, and retention rates for various segments over time.
Complete tracking points but limited functions
What do you like best about the product?
It tracks basically everything real time, fast and complete, I can always come and cross check my numbers
What do you dislike about the product?
Many analysis are formated, and limited, it didn't allow enough freedom to build customized report,sometimes it includes a lot of unneccesary info, but useful info cannot be added.
What problems is the product solving and how is that benefiting you?
1. our digital marketing performance analysis
2. it's very easy to track user activities in the app, giving a lot of useful info for consumer behavior analysis
2. it's very easy to track user activities in the app, giving a lot of useful info for consumer behavior analysis
Reliable & user friendly tool to quickly get intuition about the data
What do you like best about the product?
Can be used across the company by any staleholder even non-tech savy users. Enable data analysts/data scientists to focus on more complex analysis as product managers are autonomous with this tool. User path chart really helpful to identify drop out point.,
What do you dislike about the product?
Limitation for more complex analysis (machine learning, business oriented analysis, player data...)
What problems is the product solving and how is that benefiting you?
Onboarding conversion rate, retention drop of, tracking bugs...
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