Hi growthbook teams! I have a question regarding the execution of A/B tests in GrowthBook. Is it possible to target eligible users for the test based on historical data taken from BigQuery? For instance, can we show the experiment to users who have gone through a specific journey or who haven't performed certain actions in their previous visits (e.g., not clicking on a CTA)?

Hello， I wonder dose GrowthBook support to analysis metric of different variations by the date time dimension？the result should looks like below：😃

Hello everyone! I am trying to connect to a Clickhouse datasource but keep getting an error about self-signed certificate (which we, indeed, use). Would I be right to assume that Clickhouse datasource doesn't support custom SSL certificates? It seems so, but maybe I am missing something

Hi team. is this a acceptable practice to use multiple useFeature in a page ?

const Sample: React.FC = () => {
  const feature1 = useFeature('feature1');
  const feature2 = useFeature('feature2');

  return (
    <>
      <Button color={feature.value || 'blue'}>feature1</Button>
      <Button color={feature.value || 'blue'}>feature2</Button>
    </>
  );
};

export default Sample;

And also do we get experiment for multiple a/b testings in trackingCallback: async (experiment, result) ?

does each environment have diff client id? or application can retrieve all environment values at same time and pick the value based on app's environment?

Hi, We are using BigQuery with a custom event source and are trying to set up the Experiment Assignment Queries for the data source. Have some questions about that process: 1. Confused on how to get the

viewed_experiment

table in BigQuery. Are the records in this table supposed to be events triggered by the SDK's

trackingCallback

? 2. We want to add Dimensions to this table (like the GrowthBook UI suggests). If Dimensions = Targeting Attributes, how do we get those into the same event that populates the

viewed_experiment

table? It doesn't seem like the

trackingCallback

returns with the Targeting Attributes, what's the best practice here?

We have Growthbook set up in our React app already, but are looking to set it up for our landing pages, which are currently built on Webflow. Do you have any recommendations on the best setup practices for a website built in an external Website builder (noting that we can add in customer code, including HTML / script tags). We'd prefer not to use Google Tag Manager.

re: bayesian - is there a way for us to tell the engine what are our informed priors? or does the engine just assume an alpha=1,beta=1 prior? ideally we'd like to use the previous x months of conversion data as the prior going into the evaluation (but it would be good if this could also be configured). one of the reasons GB is particularly attractive is its use of bayesian probabilities - but in order for us to maximize the value there we would need to supply the calculation process with our prior distribution data.

Hi, I can’t get GrowthBook to find metric or experiment results from BigQuery (using GA4). I would be very grateful for any help as I’ve been struggling with this all week and can’t see what I’m doing wrong! I have a webpage with a button that sends an event “Main CTA” when clicked, and a feature “new-main-panel” which determines which version of the UI the user sees (both have the button). GA4 events are logged as per GrowthBook instructions and connected to BigQuery. I can see the events in BigQuery and they look correct. GrowthBook can connect to BigQuery; but my metric, after a brief blip, is showing nothing and my experiment has no data. BigQuery table: my onclick event that I’m measuring is “Main CTA”, and on login I’m setting user_id. I’m also sending the experiment_viewed event and that looks OK too. I can’t see anything wrong in the BigQuery data, see an example below: Metric: the SQL looks OK, it’s looking for the event “Main CTA”, see screenshot. But when I run the metric query, it only goes to 15 March and shows no data for the last few days, see screenshot. This is the full metric query:

SELECT

user_id,

user_pseudo_id as anonymous_id,

TIMESTAMP_MICROS(event_timestamp) as timestamp

FROM

``analytics_xxxxxx.events_*``

WHERE

event_name = 'Main CTA'

AND _TABLE_SUFFIX BETWEEN '{{startYear}}{{startMonth}}{{startDay}}' AND '{{endYear}}{{endMonth}}{{endDay}}'

My experiment based on this metric is running without error but showing no data. I must be missing something really simple…it’s so close to working! But I can’t think of anything else to check.

Hey here! Hope you are doing well. I have a question about the RAM consumption. I’ve deployed the

growthbook

application from the

growthbook/growthbook:1.9.0

image into the AWS ECS Cluster. During the approximately 10 days, consumption of the memory has been increasing (you can see it on the attached screenshot). Now it has been already reached 80% of RAM. It is without any traffic for the containers. For container I specified 512MB of memory, as soon as haven’t found in the official documentation, how many memory should I provide for container. So my question is, don’t you know why container consumes RAM more and more with each day? Maybe you faced with that? Thanks!