Amplitude Analytics

I like how user-friendly the in-app promotion creator is, especially how Amplitude Guides & Surveys has different built-in types of promotions (banner, modal, etc.) to select from. I love the level of customizability within the Theme section - we've been able to make our promotions look and feel like they're a natural part of our existing product. I also like how quick the Support team is to respond to my inquiries.

I dont have any particular liking of the product, it more or less serves its purpose.

1. Funnels & path analysis-extremely effective at mapping user journeys and quickly identifying the exact steps where our users drop off. 2. Near real-time data-event ingestion and dashboard updates promptly, so our team can triage regressions and validate releases within hours rather than days. 3.Behavioral cohorts and segmentations-it lets us measure feature adoption and retention for targeted user groups without re-instrumentation. 4.The UI lets non-technical PMs run analyses and share clear dashboards daily, which speeds decisions and improves cross-team alignment.

I initially disliked how limited the targeting functionality was for Guides & Surveys, but a lot of those limitations have been solved within the last few weeks. I still wish that the Insights tab for each in-app promotion was more robust in what data we're able to see/analyze (for example, I wish we could see how long each user engages with each in-app promo, as well as what links they click on within the body copy). Lastly, I dislike how this product still feels like a very new product for Amplitude, and I often feel like a guinea pig user of it. Product enhancements are being made to it fairly often (which is great), but I feel like they are often unannounced and do not have any corresponding self-serve resources to learn about them, which makes it feel like I'm constantly having to teach myself how to use new features.

UI very confusing and not very practical, there are simply too many possibilities and this drives our team and our efforts to sort of unveil the software rather than actually getting value from it.

1. steep learning curve for advanced analytics - complex behavioral queries and custom instrumentation often require training and engineering support. 2.pricing scales quickly with event volume-without careful event governance or sampling, costs can be a major concern. 3.Ui can feel dense for new users, the abundance of options empowers users but can overwhelm novices, more in app guided onboarding would help. 4.Maintaing clean and consistent event names and properties might require ongoing processes to avoid noisy or misleading reports.