Hi everyone, are there any precautions GrowthBook SDKs take to avoid flickering from dom manipulations of Visual Editor experiments?

Hey guys, bit of an odd one. We’ve got GrowthBook up and running and everything seems to be working well. This experiment calls the hook in React when a component is loaded and I have my tracking callback function set up to push an experiment_impression to GA4. 1% of 2k+ people in the test have multiple exposures and I can’t figure out why. BigQuery shows that the tracking callback pushed a crazy amount of experiment impressions with different variants at the exact same time, it’s so weird. I would only expect 1 experiment impression to be called as the test uses an anonymous ID we save in cookies. Any ideas why this could be happening? It seems odd that this would be something to do with our setup considering 99% of users don’t have this issue

Hi, we recently found that growthbook would throw fatal error in incognito mode. Because it tried to use localStorage

Hi all, I just used the export/import configuration yaml feature (first screenshot). I exported the yaml from a GrowthBook instance and imported it in another, fresh one. The built of both instances is identical (Build: 2b811d1 (2022-11-02)). The technical environments of both GrowthBook instances are also identical. When importing the exported yaml, a client error occurs (see the second screenshot). For me it looks like the importer expects a "Jupyter Notebook Query Runner", which was never configured in the instance exported from. As an additional effect of the error, I now can't manage and delete the broken data sources any more. Is this a bug? If yes, how can one either repair or get rid of the data sources? FYI: @Tim Klausmann

Hello, How do you deal with getting updates of feature flags in Cloud Functions (e.g. AWS lambda). • Just fetching the features on every feature check? • Using the webhook is not an option in this scenario because the lambda function/docker container is behind a load balancer 🤔 is that correct or do i have a mistake in my understanding?

Hi GrowthBook guys, I'm trying to structure a preliminar implementation here for our SPA, but I'm a little confused about building feature flags based on unauthenticated versus logged in users. 1. How to deal with unauthenticated users, for example, if we want to have feature flags or A/B tests on pages of our sign up process, before authentication takes place? I mean, considering that a unique id is needed to ensure A/B to work properly. 2. And how do users can be bound to previously unauthenticated data as soon as the authentication happens, ensuring the same "person" is tracked properly between unauthenticated and logged in tests?

Hey all, I just started and have couple of questions: 1. Does growthbook allow to create multiple variations, I am able to see only A and B variation 2. Is the variation assignment is only random, or do you also support Cluster Sampling and Stratified Sampling 3. Do you provide any cohort creation source, the experiment will be mapped only to the cohort and the experiment will run only if the user is present in that cohort

how can I add an experiment that was more than 12 months ago?

Hi everyone! Lately I've been looking at Growthbook, and I'm really interested in doing a POC with it within our company. One question that I have is regarding the way Growthbook needs to be configured against its datasource. Am I correct that the backend only really requires read-only rights to the datasource (e.g. Snowflake in our case), as long as we have the necessary data to perform the experiments and pageviews query?

Hello, just to confirm, is GrowthBook integration with google analytics 4 handled on sdk side? Do we able to run experiment on back-end(for example new ML model) and see results of impact on user engagement/retention in google analytics 4 events?