Hello GrowthBook Community, I hope you're doing well. I have a quick question regarding the Third Party Tracking feature, specifically the

thirdPartyTrackingPlugin

, as documented here: GrowthBook Third Party Tracking. I’m currently troubleshooting an issue where I am unable to install the

<@U052WVA1MH6>/growthbook/plugins

module necessary for the plugin. Despite following the documentation, I’ve encountered difficulties with the import process and can't seem to resolve the issue. Has anyone experienced this, or can anyone provide guidance on how to successfully import and use the

thirdPartyTrackingPlugin

? Thank you for your help! 🙏

Hi everyone, I don't know why I got no results for my experiment when I viewed queries, I got the data but nothing is displayed in Results tab I connected with the Data Source through BigQuery

Hello, I'm trying to make a saved group on a boolean attribute and it's not working. In my case I have a boolean attribute called

is_staff

and I would like to make a saved group that targets this attribute. The resulting query in the feature definition looks like:

{
          "condition": {
            "is_staff": {
              "$in": [
                "true"
              ]
            }
          },
          "force": true
        },

This doesn't work when evaluated on the client. Thanks.

Hey we followed the SDK implementation instructions for javascript and embedded the code on the site. The script loads and a Growthbook instance seems get initiated. We’re currently running a listening test for all of users to see check if the implementation works. The targeting is super simple - we’re using client_id, which is available at the time of the page load and passed into GB during the init. The client_id attribute has been set in Growthbook backend. I used URL targeting for implementation with simple match to include root domain - include ‘domain.com’ However, after looking into the live view in GA4, the trackingCallback seems to be fired only the odd time. When loading the results from BigQuery we get number for 14 users just for yesterday, which is not even a 1% of our daily visitors. When checking the live data in GA4 I can see - e.g. 400 page_views, 50 session_start events but 1 experiment_impression. The site is a SPA so I would expect the experiment_impression to be higher that session_start count. Any idea why this is happening?

<script defer='defer' id='growthbook-sdk' src='<https://cdn.jsdelivr.net/npm/@growthbook/growthbook/dist/bundles/index.js>'></script>

<script>

(function() {

// wait for async load

if (window.growthbook) {

startGrowthbook();

} else {

document.querySelector("#growthbook-sdk").addEventListener("load", startGrowthbook);

}

function startGrowthbook() {

if(!window.growthbook) return;

window.gb = new growthbook.GrowthBook({

apiHost: "<https://cdn.growthbook.io>",

clientKey: "XXXXXXXX",

decryptionKey: "XXXXXXXX",

enableDevMode: false,

subscribeToChanges: true,

attributes: {

id: "1056967161.1698327286",

client_id: "1056967161.1698327286",

user_id: undefined,

signed_in: false,

membership_type: "anonymous"

},

trackingCallback: function(experiment, variant) {

dataLayer.push({

event: 'experiment_impression',

experiment_id: experiment.key,

variant_id: variant.key

});

}

});

gb.loadFeatures();

}

})();

</script>

Hi, is this the right place to get help? I'm working on setting up Growthbook for my company's website. We are using the growthbook-react sdk. I've set up an experiment for an A/B test, and I see users successfully being split 50/50 on the front end via the Chrome Extension. The documentation was great for getting this far. I am having trouble understanding how to set up the connection between our website, GA4, BigQuery, and Growthbook. Please take a look at my progress and help me identify the misconceptions I'm having about how this all works. Connecting our website to GA4 Our website sends the tracking callback to GA4 as stated in the docs:

const growthbook = new GrowthBook({
  apiHost: env.GROWTHBOOK_HOST,
  clientKey: env.GROWTHBOOK_KEY,
  attributes: {
    id: Date.now()
  },  
  trackingCallback: (experiment, result) => {
    // track using GA4
    if ("gtag" in window) {
      window.gtag("event", "experiment_viewed", {
        event_category: "experiment",
        experiment_id: experiment.key,
        variation_id: result.variationId,
      })
    }
  }

As I understand it, this puts a user into the experiment... by sending an event to GA? Also, I'm using

Date.now()

for the

attributes.id

because we only have anonymous users (docs). I'm suspicious of this approach and open to any suggestions for a better path. We also send a tracking event to GA; the event name is "Submit" and the event category is "Lead Form". (Long story short, we are testing if changes to our lead form steps will increase conversion).

// The submit button was clicked
tracker.event('Submit', {
  event_category: 'Lead Form',
})

As I understand it, this is the event we need to use as a Growthbook metric to define whether or not the experiment was successful or not. GA4 to BigQuery I'm very uncomfortable using BigQuery. It's my first time, but I have somebody to help me. I worked through the documentation to set this up with a service account. When I look in the BigQuery dashboard, I see an

events_

table. I didn't put this there. Did Growthbook do this? I feel that this might be a missed opportunity in the documentation for laymen like me; how does my Google Analytics data translate into BigQuery? BigQuery to GrowthBook I'm still learning my way around the Growthbook dashboard, but I've been able to make some progress setting up a Metric to connect to our BigQuery instance. I have a Metric that I'm calling "Lead form submission". As I understand it, the goal here is to Select rows from that

events_

table to find rows where the

event_name

matches my GA4 tracker event.

I have a case where I need to override the metric definition for every A/B test (So that I measure a page load time only for the page the experiment is launched on). The way I see it, I need to add the “WHERE” filter to the SQL associated with retrieving the data for the metric (the same way it’s done for the experiment users in the Configuration window). Are there any plans for adding this functionality in the future? Setting up a separate metric for every page on the website would be quite irrational. Here’s how the underlying metric query may look like:

SELECT

user_pseudo_id, created_at AS timestamp, time_millis / 1000 AS value FROM

sendpulse_normalized.events

WHERE event_name = “FCP” AND DATE(created_at) >= “2023-08-10” AND (page_location = “https://somewebsite.com/some-page”) The part in the brackets is the filter applied in the metric overrides.

Hi, we’re coming over from Firebase Remote Config and I’m wondering if there is a way to run a test that affects multiple feature flags at once. So far it seems I can only create an experiment for a single feature key in GrowthBook, so the logic for more complex tests would need to be hardcoded in the code.

Hi Team, Actually, we are facing high cpu usage problem when we are trying to figure out variations for a user. SDK - JAVA Features Count - 200 Load - 100 TPS CPU Usage goes upto - 80% Are we doing something wrong?? or it this expected ?? Please Help!!!

Hi team, I have a question on setting up a duration metric for experiment analysis. One of the options allows me to choose how to aggregate in case the same user has more than one measure of the metric (as per screenshot). However, the only enforced aggregation across users is

AVG

, which makes sense in general but for my specific case could lead to some noisy results given some annoying outliers in the metric distribution. Therefore, I would like to use

MEDIAN

to aggregate the metric across users, and as there’s no option to do so when creating the metric I was wondering if there’s a workaround that people use or if it will be possible in the future to also select the aggregation method across all users.

Hi everyone, I am setting up "identifier join tables" and I have a doubt. • let's say that I am randomizing on

client_id

(cookie) • I have a

lead_id

that is generated once some step is done • the

lead_id

is the key used to identify conversions • so i set up a join table like

SELECT client_id, lead_id FROM table_relation

here are the doubts: • Is there a smart way that I am missing to handle repetition? example: 1. I am on device 1 (so I have

client_id_1

) and generate a

lead_id_x

. 2. then I log in on device 2 (so

client_id_2

) retrieving

lead_id_x

so same lead_id from point 1 3. then i do a binomial conversion with my

lead_id_x

4. when doing analysis, I would have for both

client_id_1

and

client_id_2

a conversion (because are both linked to

lead_id_x

• Is there a way to label these phenomena in analysis (ideally, I would also like to count distinct conversion)? • Do I have to create some attribution logic to handle it? e.g. only last

client_id_n

if multiple...