this might sound like a weird question, but is it possible to change the id of a device?
The unique id that i was using will desapear in my system source so i would like to change it.
I noticed that if a change the ids that are returned by the sync request the users will loose their customization in google home (the name of the device if they changed it and the associated room)
I would like to change it without loosing that.
The device ID is the string that identifies the device. There is no way to change.
The ID of the device in the developer's cloud. This must be unique for the user and for the developer, as in cases of sharing we may use this to dedupe multiple views of the same device. It should be immutable for the device; if it changes, the Assistant will treat it as a new device.
If it is going to change in some source, you should find a way to continue the value through some sort of proxy.
Related
I want to create a Photo Frame Skill for Echo Show.
I want to change photos triggered by external server (such as Firebase and so on).
Is it possible to change it dynamically without any user actions?
I saw Notification API and Proactive Events API.
But, These show notifications to user. I don't want to show anythings to user.
I want just trigger controlled from external server to change contents.
The answer depends a lot on the type of skill (for example if it is based on Alexa Conversations or not). But you can try exploring something along this line:
Keep the token of last rendered APL document
Send an APL ExecuteCommand directive from your skill server (https://developer.amazon.com/en-US/docs/alexa/alexa-presentation-language/apl-interface.html#executecommands-directive)
You can use one of the standard APL commands, depending upon your use case. One option is SetValue command (https://developer.amazon.com/en-US/docs/alexa/alexa-presentation-language/apl-standard-commands.html#setvalue-command) to modify the background image.
I want to create a Photo Frame Skill for Echo Show
Technically, a skill can last for a maximum of 5min30sec without any user interaction. Only if you provide a prompt that last for 4min then a reprompt that last for 90sec. It could be a blank audio. But Alexa is not suited for custom skills that stays live for a long time without user interactions.
I am using Google Analytics 4 (GA4) on the client to track a whole bunch of different events. However, there are 2 scenarios that I can't cover client side:
A user completing check out on a payment page hosted by a third-party (Stripe in this case).
A refund that is made by the support team.
These events are handled by the server using webhooks. To me it seems like the most straightforward solution, would be to let the server send the event to GA4 (as opposed to the client sending it). I believe the Measurement Protocol should be used for this.
For each event submitted through the Measurement Protocol a client_id is required. When the client is submitting an event, this is an automatically generated ID which is used to track a particular device.
My question thus is, what should the client_id be when submitting an event server-side?
Should the same client_id perhaps be used for all events, as to recognize the server as one device? I have read some people proposing to use a randomly generated client_id for each event, but this would result in a new user to be recognized for every server-side event...
EDIT:
One of the answers proposes to use the client_id, which is part of the request as a cookie. However, for both examples given above, this cookie is not present as the request is made by a third-party webhook and not by the user.
I could of course store the client_id in the DB, but the refund in the second example is given by the support team. And thus conceptually it feels odd to associate that event with the user's client_id as the client_id is just a way to recognize the user's device? I.e. it is not the user's device which triggered the refund event here.
Another refund event example would be when user A makes a purchase with user B and user B refunds this purchase a week later. In this situation, should the client_id be the one of user A or of user B? Again, it feels odd to use a stored client_id here. Because, what if user A is logged in on two devices? Which client_id should be used here then?
Great question. Yes, your aim to use Measurement Protocol is a proper solution here.
Do not hardcode the client id. It's gonna be a hellish mess in reports. The nature of user-based reporting (which GA is) demands client ids to uniquely identify users. To your best ability.
GA stores the client id in a cookie. You should have convenient and immediate access to it on every client hit to BE. The cookie name is _ga. GA4 appends the measurement id to the cookie name. Here, google's docs on it: https://developers.google.com/analytics/devguides/collection/analyticsjs/cookie-usage But you can easily find it if you inspect "collect" hits and look at their payloads. There's another cookie named _gid that contains a different value. That would be a unique client id. Set it too if you can, but don't use it for the normal client id. It has a different purpose. Here how the cookie looks here, on stack:
And here it is in Network. You will need it for proper debugging. Mostly to make sure your FE client ids are the same as BE client ids:
Keep an eye on the cases when the cookie is not set. When a cookie is not set, that most frequently means the user is using an ad-blocker. Your analysts will still want to know that the transaction happened even if there's a lack of context about the user. You still can track them properly.
3.1 The laziest solution would be giving them an "AnonymousUser" client id and then append a random number to that so that it would
both indicate that a user is anonymous and still make it possible
for GA to separate them.
3.2 A better solution would be for you to make a fingerprint client id for such users, say, hashing a concatenated string of their
useragent+ip+locale+screen resolution, this is up to your analysts
to actually work on the definition of a unique user if the google
analytics library is unable to do it.
3.3 Finally, one of the best solutions for you would be generating a client id on your own, keeping GA's format and maybe adding an indicator there that it has been generated on your end just for easier debugging in the Future and setting it as a cookie, using it instead of _ga. Just use a different cookie name so that ad-blockers wouldn't know to block it.
If you want to indicate that a hit was sent through the server, that's a good idea. Use custom dimension for that. Just sync it with your analysts first. Maybe they wouldn't want that, or maybe they would want it in a different dimension.
Now, this is very trivial. There are ways to go much deeper and to improve the quality of data from here. Like gluing the order id, the transaction id, the user id to that, using them to generate client id, do some custom client tracking for the future. But I must say that it's better than what more than 90% of, say, shopify clients have.
Also, GA4 is not good enough for deeper production usage. Many things there are still very rudimentary and lacking. I would suggest concentrating on Universal Analytics and having GA4 as a backup for when Google makes GA4 actually good enough to replace UA. That is, unless you're downloading your data elsewhere and not using GA's interface for analysis.
It seems that this page (Relevant portion in the screenshot below), advices to either send the data along with the client_id or user_id. However fails to address the fact client_id is a mandatory field as stated here.
I believe it is probably safe to assume that randomly generating this field should work. At least it seems to on my end however be warned that I am unsure if this has any impact on attribution.
* In the above image, Device ID refers to client_id
I am using firebase for my mobile Android and iOS app and I want to send push notifications based on specific user properties that I set (push notifications topics don't work for my use case).
So now when I set a user property in via the app it takes forever for that change to be propagated. For example, I do have a property club which was set to a value x. I can successfully send push notifications to those users. Now when I change the value to club = y and this change will take forever to go through. Which means that all notifications sent to club = x will still be received on those devices.
To set user properties I use the firebase_analytics plugin for flutter as follows:
FirebaseAnalytics analytics = FirebaseAnalytics();
analytics.setUserProperty(name: 'club', value: 'some value')
Since I am using the user properties to set notification settings this delay is not acceptable. Does anyone know how to make this work with firebase? Or are there any guarantees at least after which amount of time these user properties get updated?
I don't want to use other services such as OneSignal etc. but stay in the firebase ecosystem completely if possible.
Per the Analytics doc
Note: Once the property is registered, it can take several hours for data collected with the property to be included in reports. When the new data is available, the user property can be used as a report filter or audience definition.
Which is what I assume is the cause for your delay.
Topics would be the way to go, but since as you mentioned it is not viable, you could set custom claims for the user and filter it that way as mentioned here but performance might not be great since you have to retrieve all your users first.
You could create a club collection in Firestore and for each clubName document have a toNotify subcollection containing the userIds as document name. In this context users would remove themselves from the previous clubName and create a new doc in the newClubName.
Keep in mind this has the potential of causing quite a lot of read operation depending on the frequency you send notifications and the size of the your userbase.
Background of my specific environment: I am trying to set up GA to track the user journeys around an iOS native app written in React Native. The app is in-house only and all users consent to being tracked in this way.
As I understand it, the measurement protocol allows either Client ID (cid) or User ID (uid). In the docs, both are optional, but at least one is required. Makes sense so far. Client ID is an anonymous UUIDv4 that tracks a browser or device, but not necessarily a user. User ID on the other hand is some uniquely-identifying value for a user, but may cross devices/browsers.
Initially I wrote my application using cid (as I hadn't yet read the docs on uid). Every time a user logged in the user's uuid would be stored and sent as the cid parameter. I also used session control sc. This worked - I saw sessions coming in, the User Explorer showed me the individual user uuids and sessions, etc. But upon rereading the docs, this seemed like an incorrect use of cid. It seems like cid is meant to be consistent and not something that changes as you log in and out.
As people on my app can log in and out (and possibly will - staff members may well share devices), using a long-lasting cid that is specific to the device won't allow me to track the habits of individual users and changing it per login-session, as mentioned above, feels wrong.
So I switched out cid for uid. The docs say both are optional and one is only required if the other is not used, so I figured I could just use uid and use the user's uuid in that field and it's otherwise act the same.
However, when doing it this way no hits seems to be registered at all - in "real time data" as well as the User Explorer.
Am I doing something wrong or is this by design? (If by design, are the docs wrong to say cid and uid are both optional or am I reading it incorrectly?)
Either way, best-practices-wise, do I:
Just go back to using an ephemeral cid that only changes when people log in and out. Individual sessions in the app don't change the cid but I do use sc to explicitly start and end sessions by navigation inference (click 'home' = sc=end, navigate from 'home', sc=start).
Use uid as I am trying to (i.e. switching out the current cid for uid), but also include a random cid that never changes (regardless of session lifetime, logging in and out, etc.).
Something else?
I have seen this question and its answer but it does not really answer my actual question regarding how cid and uid should actually be used, and if my issue is me or the way that GA works.
Oki so client-id is randomly generated value and must be sent with all hits.
In a non-User-ID-enabled view, Client-ID is used to calculate unique users. In a User-ID-enabled view, User-ID is used to calculate unique users
In reference to your app, you can send the unique Device id value in place of random value for client-id. This will resolve all your problems and ensure that the client id is sent with all the hits, otherwise it wont get registered in GA
I have a website that allows people to create an account (that is the conversion I wish to track).
I wish to know where a specific person is coming from. I have google analytics installed and have set up the registration page as a goal, but the reporting tells me traffic sources as an aggregated pie chart. It doesn't report down to the user account level to say that 'person with email xyz' came from 'facebook' for example.
What custom variables or mark up would I need to add to GA to report at that detailed level, if that is at all possible?
Otherwise, I will just have to record the first http_referer in a cookie and stick it in a database during the registration process.
Any advice?
Firstly I must ask you, how actionable do you think it is to look at data at that granular of a level? Finding out what % of people who registered came from facebook or some other place is actionable, because it helps you do things like determine where to focus marketing efforts. But individual users? How is this actionable to you? (hint: it's not)
However, if you are still determined to know this, you should first note that it is against Google's ToS to record personally identifiable data both directly (recording the actual value in GA) or indirectly (e.g. - recording a unique id that you can use to tie to personal info stored within your own system). If this is something you don't want to risk, I suggest moving to another analytics tool that does not have this sort of thing in their ToS (e.g. Adobe SiteCatalyst, which costs money, or perhaps you may instead prefer to choose an "in-house" approach, like Piwik)
If you are still determined to follow through with this and hope not to get caught or whatever, Google Analytics doesn't record data like what info a visitor filled out in a form (like their email address) unless you populate that data in a custom field/dimension/metric/event to be sent along with the request. Usually you would populate this on the form "thank you" page (which is usually the same page you use as your goal url or goal event if you're popping and using an event for your goal). So you would populate the email address in one of those custom variables and then have it as a dimension to break down the http referrer by.