Using Amplitude

Start here to find answers about Analytics, Recommend, Experiment, and Data.

2410 Topics

Z
Zayyan ChowdhuryNew Member
asked in Data Planning and Governance

Destination Data

How can we manage what data is passed on from Amplitude to a destination. Currently we see almost all data is passed on but we want to manage particularly what user properties are passed on. How do we edit it so we change what user properties are passed through to the destination. It currently says events and users and I do not see an ability to control what we pass through.

0
Z
18 hours ago
P
Preston ZellerNew Member
asked in Product Personalization and Audience Segmentation

Cohort: User Who Complete # of Milestone Events

I’m trying to create a cohort of users who: Sign up for a new subscription Don’t complete at least X number of events within Y days of starting their subscriptionI’m currently using the following: Did perform New Subscription any time during last X days AND did not complete “Event example” with count >= 10 times any time during X daysWould this accomplish my goal or is there something else I should try? 

0
P
1 day ago
A
Novice
ArdavanNovice
asked in Data Instrumentation

Problem passing UTM parameters from Google Ads (and other Sources)

I can not see UTM parameters and this it the Tracking Template I am using:{lpurl}?utm_campaign={campaignid}&adgroupid={adgroupid}&utm_content={creative}&utm_term={keyword} What might be the issue?   

3
dangrainger
Super Helper
1 day ago
M
markohlebarNew Member
asked in  Building and Sharing Your Analysis

Max parameter data size for an event

Hi guys, we’d like to know what is the maximum character length is for the parameters we attach to an event? We’d like to use this info to limit the amount of chars on the frontend to a sensible length. Couldn’t find this info in the documentation nor in public headers, so it might be prudent to add it there as well. 

4
Anthony
Peer Moderator
1 day ago
N
ngJeonNew Member
asked in Data Instrumentation

FileNotFoundException intermittently occurs on the Android kotlin SDK.

When calling track() of the amplitude SDK, the app crashes with a FileNotFoundException error.It's a very occasional error, but I don't know the cause. The stacktrace is as follows. E/AndroidRuntime: FATAL EXCEPTION: pool-18-thread-1    Process: com.co.swing, PID: 1199    java.io.FileNotFoundException: /data/user/0/com.co.swing/app_amplitude-disk-queue/ed4a269b64000448d47c3288b1fb9d37-2: open failed: ENOENT (No such file or directory)        at libcore.io.IoBridge.open(IoBridge.java:492)        at java.io.FileInputStream.<init>(FileInputStream.java:160)        at com.amplitude.android.utilities.AndroidStorage.getEventsString(AndroidStorage.kt:65)        at com.amplitude.core.platform.EventPipeline$upload$1.invokeSuspend(EventPipeline.kt:106)        at kotlin.coroutines.jvm.internal.BaseContinuationImpl.resumeWith(ContinuationImpl.kt:33)        at kotlinx.coroutines.DispatchedTask.run(DispatchedTask.kt:106)        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExec

2
J
1 day ago
Anthony
Peer Moderator
AnthonyPeer Moderator
asked in  Building and Sharing Your Analysis

Support AI Chatbot

I just saw a new Amplitude Support AI Chatbot (very GPT-like), but now I can’t find it again. Does s/he have a name? How can I find it to use it again? Here’s a partial screenshot of it’s response to a question from 10 minutes ago:   

0
Anthony
Peer Moderator
1 day ago
B
Benjamin WiegandNew Member
asked in  Building and Sharing Your Analysis

How to plot the evolution of mean aggregated event count on user timeline

Hello, I’m new to amplitude and I’m trying to recreate a plot we made with our legacy custom analytics scripts: we’re interested in how often users performed a specific event on average (= y-axis), grouped by how many days ago the users signed up (= x-axis). With this, we want to see how the typical user lifetime looks: how many days after signup do they start doing something (on average), how many days after signup do they stop doing something, etc. Is there a way to build such a chart in amplitude?Problem with Segmentation tool is that it just counts events grouped by calendar dates. I couldn’t find a way to make it group event counts with respect to the user’s timeline (days after signup).I also managed to get a histogram of event counts, but I was unable to plot the time evolution of average event count, grouped by days after the user’s signup event. Is there a way to do this in amplitude? Thanks in advance! :)

0
B
2 days ago
H
Himanshu ItoriaNew Member
asked in Data Instrumentation

User_properties getting over_written

I’m making a POST request on https://api2.amplitude.com/2/httpapi, This is the request body: {"api_key": "******","options": {"min_id_length": 1 },"events":[{"event_type":"LoggedOut","event_properties":{"cause":"button","arbitrary":"properties"},"user_id":"785","time":1701869900,"insert_id":"3b48b7-4c53-himanshukjaa"}]}, now for that particular user_id, the user_properties were already set and pushed on amplitude by ios team of my firm, when I’m making this request I’m loosing those properties on amplitude and its getting overwritten, how to make the request so that user_properties aren’t changed?

2
H
2 days ago
S
sharonNew Member
asked in Data Instrumentation

Track Unique Page View

Hi, I am new to Amplitude Analytics.We want to track the unique product page views of each user on our e-commerce marketplace app.So we use a user property that will +1 every time the user opens a product detail page (when the “View Product” event is triggered).But this number goes up as a user opens the same product page for several times, which is not what we want.How can we solve this issue? 🙏🏻

3
M
2 days ago
H
Himanshu ItoriaNew Member
asked in Data Instrumentation

Min_id_length not working for track_event api

Hi there, I’m getting the error: “Invalid id length for user_id or device_id”,while calling the track_event api. I passed the min_id_length to one, still I’m getting errors for user ids < 5 character and I have user ids less than 5 character. Here’s the request, Please help me with this. AmplitudeAPI::Event.new({user_id: user_id,event_type: event_type,time: Time.now,insert_id: SecureRandom.uuid,event_properties: event_properties,options: {min_id_length: 1}})

3
Saish Redkar
Expert
2 days ago
C
charlotte de thiersantNew Member
asked in  Building and Sharing Your Analysis

Create a funnel with condition "completed 1 day AFTER" rather than "WITHIN a day"

Hello dear communityI am trying to create a funnel but rather than having the condition “completed WITHIN 1 day” i would like to have “completed the day AFTER the first event”Is it possible?Thanks a lot for your help!Charlotte

1
Saish Redkar
Expert
2 days ago
N
Nadav MillsNew Member
asked in  Building and Sharing Your Analysis

Sending alerts to slack?

is there any way sending Product Monitor Alerts to slack instead of email?

3
JennRu
Community Manager
3 days ago
B
bind devNew Member
asked in Data Instrumentation

Seeking Strategies for User Conversion Analysis in E-commerce with Common Landing Pages

Our company is operating an e-commerce platform, and we're trying to use the 'page_name' property of the page view event to group and see which pages have a high purchase conversion rate. Amplitude aggregates data based on the first page view shown, and due to the nature of our e-commerce, which has several common landing pages, it's challenging to identify the actual converting pages using the usual funnel analysis (there are so many pages after landing). We're unable to see the conversion rate per user when we hold the 'product_id' as a constant property, as the conversion rate is then divided by the number of products shown. We want to analyze when the product shown on the page and the purchased product are the same. How can we view the purchase conversion metrics based on the same 'product_id' while also being able to see the purchase conversion rate per user? I've been searching for a method for three days but haven't found an effective solution. Even a small piece of advice would

0
B
3 days ago
M
MrFunnelNew Member
asked in Data Instrumentation

Excluding Facebook social sign-in from referrals

As new Amplitude users we noticed a weird pattern in our attribution data where Facebook.com and accounts.google.com were being attributed as referrers for a significant number of our registration events.We quickly realised that when our users opted to authenticate via Google or Facebook’s social sign-in, they were temporarily leaving our domain to go to the respective site to give us permission to authenticate. When they come back to our domain, despite it still being the same session, Amplitude is overwriting the true attribution data e.g. referrer, referring domain, UTMs, etc, with either facebook.com or accounts.google.com.We’ve excluded accounts.google.com as a referrer which neatly solves that one. Annoyingly as visitors who come from Facebook appear as facebook.com regardless of whether they clicked on a link, or came via the authentication page there’s no way to exclude that domain without losing attribution on genuine organic FB registrations.We’ve been speaking with Amplitude

1
P
3 days ago
R
Roee FinkNew Member
asked in Data Instrumentation

New User Pathfinder

I am currently trying to create a pathfinder analysis to answer the questions: What is the typical journey for new users?. When I was designing the pathfinder I saw that there is an event called ‘New User’. After further research I understood that the new user event is:A user’s first event in Amplitude A new user is a user who has logged an event to Amplitude for the first time (this includes inactive events). The time of when the user is new is the time of when they logged their earliest eventWith this information I created a Pathfinder that starts with Start Session. For the User I selected for users that performed New User and was then prompted with “who performed user = x time. I started changing the operator and number and saw that with each change the number of Start sessions changes. I don’t understand how the event New User can be equal any number if it is defined as the first event of a user and how I can make the parameters New User > 4 means or New User = 0. I would appre

3
A
Experienced
3 days ago
C
Congxing CaiNew Member
asked in  Building and Sharing Your Analysis

How to measure conversion rate of invites?

I am not sure which chart type to use here, given the two events would be logged for two different users:invite event is sent by user A accept invite is received by new user BThanks!

5
Saish Redkar
Expert
3 days ago
A
Novice
ArdavanNovice
asked in Data Instrumentation

How to pass UTM parameter to Amplitude to define the TM source?

I have a basic question, I have created UTM’s in a tool called ApssFlyer, how can I pass these paramter for Events? 

1
Saish Redkar
Expert
3 days ago
V
vicNew Member
asked in Data Planning and Governance

Error Setting Up Snowflake Destination, despite successful test

Any idea how to troubleshoot this issue? I am trying to set up snowflake as an event destination, Everything works as expected until I get to the finish step of the integration. When I click “Finish” I get a non descriptive error message saying there was an error when trying to initiate the export. When I exit the flow, there is no destination set up in the destinations tab.   

20
belinda.chiu
Team Member
3 days ago
A
Novice
ArdavanNovice
asked in Data Instrumentation

Cant see Google Ad as Data Source to connect

I am trying to find Google Ad as Data Source based on the insruction in following link but I can not the see it on the list of Sourceshttps://www.docs.developers.amplitude.com/data/sources/google-ads/ Anyone reason? (I am using Growth Plan and has Admin Access to Google Ad)

1
Saish Redkar
Expert
3 days ago
B
bind devNew Member
asked in Data Instrumentation

difficulties in funnel analysis

The article (https://help.amplitude.com/hc/en-us/articles/19466710221979-View-funnel-conversion-by-event-property-values) says "If users in your funnel can complete the steps multiple times, this method will take the first occurrence of each event and bucket the user for the value on that event". And I want to know the conversion rate with taking the last occurrence of each event, not the first occurrence.And other article says "If, however, you opt to hold properties constant, the funnel chart will display the unique count of user and user/event property pairs that have completed the funnel. If a user goes through the entire funnel X times with Y distinct event property values, the user will be counted Y times." But I want to know the conversion rate of distinct user using hold properties constant (not the value of divided by number of property values) . Is there any way to resolve these issues?Thank you.

0
B
4 days ago
aleksandar
aleksandarNew Member
posted in  Building and Sharing Your Analysis

How to Create Dynamic Cohorts Based on Stickiness

Hi everybody!TL;DR: This guide explains how we solved our use case of needing dynamic cohorts based on stickiness. The solution involves combining derived properties and distinct values of property option for counting events in a cohort definition. At my workplace, we use stickiness to classify user engagement levels (e.g., a casual user is someone who uses the product for one week in a month, and a power user is someone who uses the product for three or more weeks in a month). We've been struggling to incorporate stickiness-based engagement into our dynamic cohorts, which are essential for our analytics.Recently, we found a good enough solution to our use case by combining derived properties and distinct values of property options for counting events in a cohort definition.1) To create a derived property that returns a numeric order of a week in a year, we used the Amplitude property `Server Upload Time` and transformed the timestamp to a week number using the following formula:`Week

3
C
Conversationalist
4 days ago
D
Dave PorterNew Member
asked in Product Experimentation

Separate Amplitude Experiment deployment or not for SSR server?

BackgroundThe examples in the server side rendering guide for Amplitude Experiment have…a “server” deployment key for initialising the node SDK used to fetch initial variants, see https://www.docs.developers.amplitude.com/experiment/guides/server-side-rendering/#initialize-the-server-sdka “client” deployment key for initialising the javascript SDK ExperimentClient with those initial variants, also used on the server. See first “if” branch here https://www.docs.developers.amplitude.com/experiment/guides/server-side-rendering/#initialize-the-client-sdk-on-render. The “client” deployment key matches that used to initialise the ExperimentClient in the browser in the second “if” branch.However, the Amplitude Experiment Node SSR Demo app here https://github.com/amplitude/experiment-node-server/tree/main/packages/ssr-demo uses an identical “client” deployment key for all three. (https://github.com/amplitude/experiment-node-server/blob/main/packages/ssr-demo/lib/experiment.ts and https://githu

0
D
5 days ago
S
Seunghyun LimNew Member
asked in Data Instrumentation

Identify API quota

Hello everyone. I checked identify API document to check qutoa and parameter. Here is document (https://www.docs.developers.amplitude.com/analytics/apis/identify-api/)But, There is no information about request quota and maximum object count in identification parameter.So, please share request quota and maximum object count in identification parameter? 

2
S
5 days ago
J
Jinyoung KimNew Member
asked in Data Instrumentation

New user event statistics seems inaccurate..

It's been more than 2 months since i stopped distributing my app in iOS Appstore.user can never download or access to my app.However, i’m still getting New User statistics. today amplitude said i got 8 NewUser.  Is there a case where a new user event can occur even if a real new user does not download the app?

0
J
5 days ago
C
Conversationalist
ccanamasConversationalist
asked in  Building and Sharing Your Analysis

Tracking Power / Core / Casual user engagement states over time

Hi,We have defined the following:Power User = fires event A on 5 or more distinct days of the weekCore User = fires event A between 1 and 4 distinct days of the week Casual User = fires event A at least once a month, but not frequently enough to be a Core or Power userDormant User = Has gone more than 30 days without firing event A I am trying to create a chart that has weekly cadence, and shows me how my user population breaks down into these categories over time. Something like below (incorrect definitions used for the screenshot, but just wanted to convey what I envision the final product looking like). Week to week, if a user’s behavior changes, they would be represented in a different category. Which category a user is in for a given week depends only on the behavior they showed during that week (or during the last 30 days relative to that week if we’re talking about Dormant category). I tried using Behavioral Cohorts first, since I know there is an option to use “count in interva

0
C
Conversationalist
5 days ago

Terms & ConditionsCookie settings