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The HamiltonBuhl Amplitude soundbar provides MAXXBASS sound technology with a rich, deep and strong dynamic bass in a slim, attractive and compact design. It's the ideal choice for home theater systems and is easy to setup.
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HamiltonBuhl Amplitude - sound bar - for portable use - wireless is rated
4.30 out of
5 by
3.
Rated 5 out of
5 by
Suraj Chandak from
Used for reporting and monitoring purposes and to check the business KPIs
What is our primary use case?
We use Amplitude for reporting and monitoring purposes and to check the business KPIs. I'm working with Western Union, and we monitor our daily KPIs, including successful transactions and log-ins. We have created dashboards in Amplitude. We generate daily reports and share them with the business stakeholders.
What is most valuable?
The solution's most valuable features are segmentation and funnel. We can create charts and bar charts for visualization purposes and check real-time data with the solution. The solution is very easy to use.
What needs improvement?
We have seen tagging issues with Amplitude in rare scenarios, which can be improved. Most of the time, the events will not be triggered, or they will be there but not triggered.
For how long have I used the solution?
I have been using Amplitude for five years.
What do I think about the stability of the solution?
We are not facing any stability issues with Amplitude.
I rate the solution’s stability an eight to nine out of ten.
What do I think about the scalability of the solution?
The solution is easy to scale. Around 1,000 users are using the solution in our organization.
How are customer service and support?
The solution's technical support team is very helpful, and we get timely responses from them. Whenever we face issues with the solution, we directly send an email to the support team. The support team immediately raises a ticket and tries to resolve it as soon as possible.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
We also use Adobe Analytics in our organization. While there is a two-hour data delay in Adobe Analytics, Amplitude provides real-time data most of the time.
How was the initial setup?
The solution’s initial setup is easy.
What other advice do I have?
We take real-time decisions based on the solution's charts. We get an automated email from the solution in our mailbox so that we can particularly only check those error reports into Amplitude. If an end user gets an error while trying to do a transaction, we get alerts from the solution.
I would recommend the solution to other users. Amplitude is a very easy-to-use and user-friendly tool. It allows us to create charts, demonstrate data, and view it effectively.
Overall, I rate the solution a nine out of ten.
Disclaimer: My company has a business relationship with this vendor other than being a customer:
Date published: 2024-06-19T00:00:00-04:00
Rated 5 out of
5 by
LeslieTaylor from
Offers depth of analytics and powerful visualization capabilities
What is our primary use case?
I used Amplitude mostly for data analytics and analysis.
What is most valuable?
I loved using Amplitude because it allowed me to dive deep into product usage and analyze different customer segments. My favorite part was pinpointing exactly where customers were dropping off in their journey and understanding the events tied to conversions. This helped me focus on areas needing improvement, conduct customer interviews, and validate insights with existing reviews, leading to more informed decisions.
What needs improvement?
In terms of improvement, setting up reports in Amplitude was challenging for me as a newer user. I relied on others who had specific knowledge, which sometimes caused delays due to resource constraints. It would have been helpful if the process of creating reports was more intuitive and user-friendly, allowing me to gain insights independently without relying heavily on the product team.
For how long have I used the solution?
I have used Amplitude for a year and a half.
What do I think about the stability of the solution?
Amplitude was very stable during my use. I never encountered any errors, which was refreshing compared to the occasional issues I have experienced with AWS products.
What do I think about the scalability of the solution?
I would rate Amplitude a solid ten for scalability. I didn't see any reasons why it couldn't handle scaling effectively.
Which solution did I use previously and why did I switch?
Amplitude is easier to use than Splunk because its user interface is more intuitive and user-friendly. Splunk's interface felt technical and outdated, like an old mainframe system, while Amplitude's was much easier to navigate. Although Splunk might excel in detecting anomalies, Amplitude provided a smoother experience, especially for tasks like tracking performance over time.
How was the initial setup?
Setting up Amplitude initially can vary in complexity. If you have all the necessary information, like event IDs and customer lists, and your requirements are straightforward, it's relatively straightforward. However, the complexity increases with more variables and larger datasets, making it a bit more challenging to work with.
What other advice do I have?
Amplitude played a crucial role in improving product decisions for our onboarding project. By analyzing user behavior, we identified key points where customers were dropping off in the activation process. This allowed us to tailor the onboarding experience, making it more personalized and engaging, resulting in higher activation rates and improved customer retention.
Integrating Amplitude with other tools in our stack improved our analytics capabilities. I didn't encounter any issues with its compatibility or functionality alongside other tools.
I would recommend Amplitude to others because of its depth of analytics and powerful visualization capabilities. Overall, I would rate it as an eight out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2024-03-25T00:00:00-04:00
Rated 5 out of
5 by
Shivendra Pratap Singh from
Data from Amplitude has good properties for segmentation. allows real-time tracking, segmentation, and have a complex architecture
What is our primary use case?
We used it for data inboards and exposure.
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.
Disclaimer: My company has a business relationship with this vendor other than being a customer:
Date published: 2024-06-28T00:00:00-04:00