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Hi, I’m trying to view the average # of times a user has performed an event each month since they joined the platform. It would be great to see this for multiple events each month. Allowing me to select the events I’m interested in seeing would be great.
I have created custom events, but when I try and filter live sessions by those custom events, I don’t see them - it’s blank. How do I ensure I see custom events filtered out correctly?
I’d love your feedback on this 12 minute introduction to event-based analytics! Can we do better to make the concepts stick? What worked? What didn’t? Making the transition to event-based analytics can require a shift in thinking -- especially if you are used to working with entity-based data. To get the most of out…
Hi there! I’m trying to access the User Profile API but with no success. According to the documentation there is a single endpoint to the standard server https://profile-api.amplitude.com/v1/userprofile However, I need to access the EU residency server but cannot find the endpoint to do so. I’m able to successfully access…
Hello, I’m Scott. I’m sending events to Amplitude from a Spring server. The library I’m using is implementation("com.amplitude:java-sdk:1.12.3"). I’d like to know the rate limit.😊
Hello! Is there a place where I can see EU Amplitude integrations? I’m especially interested in the integration with Mailchimp and Databricks. I found this documentation link but I suspect not everything is relevant for EU version. Thank you!
Hi, everyone. I’m creating new charts for my analysis, but an error appears. I can’t save any chart (funnel, segmentation), and there’s no additional information about it. May it be a bug?
Even after revoking and re-granting access to slack link previews to unfurl charts in slack messages, I still can’t get it to work since last week. Classic URL unfurl debugger indicates there might be a problem with Amplitude metadata? https://api.slack.com/tools/unfurl-debugger Resources:…
I am trying to figure out a way to show distribution of users using 1 or more Event_Names out of a defined 4. Example: * 50% of users used 1 event_name only * 30% used 2 event_names * 15% used 3 event names * 5% used all 4 event names Even answering the most basic version, “how many users used more than 1” is proving…
Hello Look forward to some help for an analysis. I’d like to build a logic to know those users who triggered activities on multiple devices in the last x hours. (count of user ids who triggered events on more than x device ids) thanks in advance
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