Amplitude Reviews

I used Amplitude mostly for data analytics and analysis.

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.

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.

I have used Amplitude for a year and a half.

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.

I would rate Amplitude a solid ten for scalability. I didn't see any reasons why it couldn't handle scaling effectively.

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 Splunk's interface felt technical and outdated, like an old mainframe system, while Amplitude's was much easier to navigate.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.

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.

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.

We used it for data inboards and exposure.

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.

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.

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.

I have been using it for a year. 

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.

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.

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.

Positive

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.

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. 

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.

I would completely recommend it.  

1. Considering scalability, cost efficiency, and other aspects, I would give it an eight out of ten.
2. For features, capabilities, and scalability, I'd give it a nine out of ten. 
3. For stability, I'd also give it a nine out of ten. 
4. For support and cost-effectiveness, an eight out of ten. 
5. 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. 

I have been working with Amplitude Analytics for around one year, mainly using it alongside GMP products like Google Analytics Four and Google Tag Manager. 

We recently started using Amplitude Analytics and are in talks with Amplitude for a partnership. It provides valuable real-time insights, particularly beneficial for media services and e-commerce websites needing immediate data-driven decisions.

In Amplitude, clients can leverage existing models like the linear model and first-click model to compare their campaign performance based on specific requirements.

Amplitude offers flexibility in real-time data analysis, allowing users to make immediate decisions. It provides in-built A/B testing functionality, which eliminates the need for third-party integrations. A

mplitude's session replay feature allows recording of user interactions, which helps identify and fix user challenges on specific pages. The reporting functionalities are superior, particularly with Amplitude's ability to create multi-step funnels, unlike Google Analytics Four.

The free features in Amplitude Analytics need enhancement. The limitations, such as not being able to use the splitting method for certain events, restrict reporting capabilities. This contrasts with Google Analytics Four, where there's more freedom in passing parameters and creating reports.

I've been working with analytics, including Amplitude Analytics, for about one year.

There have been no stability issues with Amplitude in the time that I have used it.

Amplitude is scalable, efficiently processing large volumes of data.

Though I had a call with Amplitude Analytics support, the representatives lacked technical knowledge. I resolved most issues through the online community and did not raise any further technical support queries.

Positive

I switched from relying primarily on Google Analytics Four due to Amplitude's ability to provide real-time data and in-built A/B testing functionality.

The initial setup involves understanding the client's business needs and KPIs. An event taxonomy is created before development begins, ensuring no direct changes are made to the production environment to avoid data noise.

In Amplitude, clients can leverage existing models like the linear model and first-click model to compare their campaign performance based on specific requirements.

Amplitude used to charge based on monthly users. However, a recent notification indicated that event count also plays a role in pricing, causing some confusion regarding the cost structure.

I would recommend using Amplitude based on individual use cases, especially for real-time reporting and A/B testing features. 

I rate Amplitude as an eight out of ten.