Building and Sharing Your Analysis
Learn, ask questions, or help others on the features that help build analyses in Amplitude!
- 288 Topics
- 815 Replies
Hi, I would like to know “Personas Chart” > top events and lower events the average # of events: for example, cluster 2 users do event “add wizard” with the average number of 2.68, then it means that 3959users *2.68 =10,610 “Add wizard” event has been fired in totalwhat does σ mean? the standard deviation?? σ how is it calculated? It looks like the events are listed in the order of the bigger the σ is, the upper in the list the event is located. however, if this is standard deviation, if it’s bigger, it means that the difference from the mean is big, and that means there are some users who aren’t performing like the mean number of events. If so, I think the lesser the σis the more important that event is, because almost all the users are firing the event Also, if this is standard deviation, there’s no minus value for standard deviation, but for the event “Add wizard”, cluster 1 is showing mi
Hey Amplitude community, I hope one of you have a solution to my issue here :D Question‘Compare to past’ lets me compare to the same n days to the previous year. This comparison is date by date.As weekdays change each year, is it possible to offset this comparison, so I compare monday - friday with monday - friday previous year? ContextI’m trying to make a performance dashboard, where I’ll compare sales performance with previous year. We want to compare weekdays instead of precise dates, as that is a better explaining factor for fluctuations. Solutions I’ve tried so far2 charts: current performance vs last year performanceCurrent performance chart: daily view of last 7 days (May 12 - May 19) Last year performance chart: daily view of last 7 days, offset by 364 daysIssuesI can’t present performance in the same chart Offset needs to be changed on leap year (I think) ‘Comparing to date range ending’ on custom dateCurrent date range: last 7 days (May 12 - May 19) ‘Comparing to date range
Hi! I’m supporting customer to use Amplitude. Sometimes customer ask me Is “there any good case study?”(To make use of it in their company) However, I feel some difficulty when I search case because there is few case in Japan.If anyone have some good source about that, I’m glad to hear!(Youtube URL etc・・・) I want to have Analysis Case or Used in the field Case...
Hi,I would like to be able to display a certain users activity in an iframe. I can create charts manually for a user in Amplitude, but I need to be able to do the same programmatically with a user-id. How can I create a user specific chart and show it in an iframe? I am using the JS API in my frontend. Thanks
Hi Amplitude community!Your help would be greatly appreciated here! I’m trying to build a chart/dashboard that shows account growth (or decline) over a period of time but not having much luck with building this view. For context, our customers book a total number of licenses as part of their contract and I would live to monitor whether or not customers are increasing their total number of active licenses vs booked licenses over time. For example, if ACME company purchased 10,000 licenses, then I want to monitor if ACME is using more or less of those licenses month over month. Ideally, I would like to build a dashboard that shows this growth or decline in license utilization across all customers. Thanks!Jon
Hi all!I’m new to Amplitude. Just tried to push some data and I was successful. I’m especially interested in the event_properties and how I can create some expressive charts around them.However, I don’t see any options to “group by property_x”? For example, let’s say I store a event property“company” for a user. How can I make a chart to group the events by company, so I know which company did create how many events on a daily / weekly level?Here is a sketch :)Can you advise?Thank you!Lukas
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 Amplitude, it is important to understand the interplay of events, event properties, users, and user properties.In this video you will learn how to:Use different colored stickies to understand how Amplitude works Differentiate between events, event properties, and user properties Determine when a user property update will be query-able Read Amplitude queries like sentences See a user’s event stream using User Lookup Describe the difference between entity-based and event-based analyticsPlease feel free to pass along your feedback.
I’m trying to filter for some “error” events that we’ve added in, so we can find users who’ve had an error and quickly dive into their profile. I go to the User Look-Up view and filter for the error event in mind, but nothing shows up. It’s possible this event was from a few days ago.How far back do the search results go here when filtering by event? Does it only show the last X hours? Any insight would be greatly appreciated!
Hi all,I realized we get different numbers in the graphs which have a group by “user_property”.Look at this - Count 1 (for the last 12 months): However in the user stream we see 3 events:And also in the user_lookup: What is happening here? Data is several hours old so caching should not be the issue?Please advice!!Thank youLukas
Does Amplitude publish any informal release notes of changes that are being made to the product? I seem to discover some (quite good) changes rather organically and it’d be great to just see what’s changing on a weekly or at least monthly basis so that I can take advantage of some of the new stuff. The blog used to publish monthly release notes but that seemed to have stopped sometime last fall.
Hi I’ve been working on pulling revenue data and I’m a little confused by some incongruity I noticed in my charts. When I set up a chart grouped by $price and based on the TOTALREVENUE(A) I have one set of numbers for daily revenue then when I use that same user and make the chart based on “Properties: revenue” it produces another entirely different set. From what does the difference in these two means of summarizing revenue arise?
Hey there,I would like to add a where clause to an event with the property query. I have a long list of values, so instead of adding each value one by one I would like to use glob matching.Usually the syntax would be ?(dog|cat|zebra)But this does not work (no event matches).What is the correct way to do this in Amplitude?
Hello, my company is just starting to implement Amplitude and we were hoping to connect with others that are currently using Amplitude and have a B2B product portfolio similar to ours. Our portfolio contains @10 products that all have some level of integration with our core product and all products are at different parts of their life cycle. I wanted to get some insight on what you have done with Amplitude and how you are tracking usage/events across your entire portfolio which is our end goal.If anyone is interested in perhaps setting up a quick zoom call to discuss that would be much appreciated as well.
Suppose I want to analyze the funnel between Event A → Event B → Event CSometimes, because of eventing issues or missing eventing, some users are able to get to Event C without doing Event B. In those cases, would it be possible to backfill on Event B, where we say “If a user has done Event A and Event C, assume they have also done Event B even if it is not present). In many cases, users are allowed to skip steps in the funnel, so I wanted to check if Amplitude has a way of incorporating that.
I wanted to look at the conversion between two events, say “Viewed Song” and “Played Song” (What % of users who view a particular song play it). The song_id is one of the event properties for both events, and I want to hold that constant over both events, so I’m answering “Of all the users who view a particular song, how many play that song” instead of “Of all the users who view a song, how many play any song”. Is there a way to do that in Amplitude?
Hi, I’d like to do the following analysis for all users who sign up to my app, so only their first session. I already did a funnel analysis until they reach the home of the app. This analysis is focused on this specific screen (home) : average lenght of time on this screen. most common actions on this screen which lead to subscribe. most common actions on this screen which lead to drop-off. user path (but only for first session).Thanks in advance !
Hello, I have an engineering team that built an app that allows users to create profiles. I want to show my users analytics, i.e., how many visitors came to their profiles. What’s the best way of doing this using amplitude? Thanks!
First, a little background. If you didn’t know, Bracket Retention offers more flexibility and freedom than N-Day retention; it allows you to define your retention period. Essentially, this powerful tool can be used to analyze retention based on your product’s specific usage interval. Bracket retention allows you to define any bracket of time you want, from a single day/week/month to multiple days/weeks/ months. On the x-axis, N-day retention maximums are 30-day, 24-week, and 12-month retention respectively. But what if you’re hoping to see beyond the default scope? Custom brackets make this possible! Say you’re looking to see weekly retention for the entire year. Using weekly granularity, you can create custom brackets for all 52 weeks of the year: Amplitude will conveniently save your custom brackets to the metrics module. That way you can easily reference the same 52-week bracket again for future retention charts. How have you tried using custom brackets in your analysis?
Hi All, Needed to track total time spent by a user on a particular page on my web app. Is it possible to track page views and within page views is it specifying the time spent by a user on a page. Is there any option to start and stop tracking pageview on a particular page?Urgent help needed.Regards,Ashwin
Hi everyone,Is there way to programmatically create a behavioral cohort via some API endpoint?I have used the Dashboard REST API to build some custom event charts for some of my use cases, but was curious to know if we can input some basic parameters and clauses in a similar way to create cohorts as well.Thanks!
Hi all, Why did the total number of events reduce when I include a user property into group by?Has this got to do with the pruning that is being applied?https://help.amplitude.com/hc/en-us/articles/360031259831 The user property is the company ID a user is tied to.Below is before group by with a user property for a particular event, performed by any users.For eg. there are 421 events in Feb 21 Below is after I add the company ID into the group by, for the same event, performed by any users.Feb 21 now has 130 events.It is possible that a user from a company ID, performs multiple events in the same month, but we are counting events here, so that should not be the reason, why it gets reduced. The opposite can happen if I group by a user property like ‘role’ in which the user can have multiple roles. Again for the same event, performed by any users. We can see Feb 21 total events went up to 813. Is there a concept/principle on how amplitude groups the data, that I am missing?Any ideas o
Hi,I’m working on finding drivers of long term retention in our SaaS product (long term in this case means that customers stick around for at least a year or more). I.e. the question I want to answer is: ‘What events or properties are leading indicators of long term retention?’I’ve used both the Compass feature, as well as the cohort comparison feature to try to answer this question, but I find that it’s hard to use them with such a long time frame. I’m curious to hear how other Amplitude users would approach this problem!
Hi everyone!I keep track of where we get applications on our website via amplitude. Today, I do so using utm’s, but we still cannot attribute a majority of where our applications came from :(However, I recently added referrer and referring domain as a second potential source. What I want to do now, is create an analysis where I sort my users by utm_source or referrer. To be more specific, if the user has an utm_source, mark her as such. If no utm_source, then mark by referrer. If the user has neither an utm_source or a referrer, then mark as (none). Is it possible to do so?For reference, this is a graph I have today, with applications per utm_source
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