gentle-australia-15930
09/29/2021, 9:37 AMthankful-scientist-83252
02/10/2022, 11:35 PMthankful-scientist-83252
02/28/2022, 7:04 PMmicroscopic-zebra-5535
03/07/2022, 2:26 PMwonderful-sunset-37720
07/22/2022, 3:50 PMwonderful-sunset-37720
07/22/2022, 3:51 PMwonderful-sunset-37720
07/22/2022, 3:51 PMwonderful-sunset-37720
07/22/2022, 3:52 PMhallowed-portugal-31753
09/09/2022, 1:49 AMkind-salesclerk-23370
10/03/2022, 12:55 PMkind-salesclerk-23370
10/03/2022, 12:55 PMwhite-leather-66229
10/03/2022, 3:14 PMred-fall-3528
10/04/2022, 2:46 AMevent_date
, event_params
and `user_properties`: 133 GB
• analytics events daily table only event_date
, `event_params`: 42 GB
with minimum dataset (the 42 GB one), I get approx. 3 usd/metric query on average with GrowthBook. and I end up spend around 40 usd/day to get experiment results.
My questions are
• Is this data size normal for Firebase Analytics? If so, how do you feed them to GrowthBook (or other usages) in a feasible way both on technical aspect and financial aspect?
• For detail tracking on usage behaviour on mobile app. Is Firebase Analytic the sensible choice? If it’s possible, could you share your use cases/ experience with data platform on Mobile app
I am really appreciate any comment and suggestion. Thank you.some-planet-44104
11/25/2022, 11:30 AMsome-planet-44104
01/19/2023, 3:59 PMearly-tent-72446
03/30/2023, 2:09 PMclever-hair-5481
03/30/2023, 6:30 PMshy-businessperson-15375
05/18/2023, 8:10 PMchilly-ice-41777
07/04/2023, 9:30 AMgifted-apple-59420
08/10/2023, 6:10 AMlimited-hospital-80763
08/14/2023, 1:05 PMlate-spring-83291
08/15/2023, 9:33 AMself.gb = GrowthBook(
TypeError: __init__() got an unexpected keyword argument 'meta'
aloof-translator-23445
08/22/2023, 1:13 PM// AB TEST CALENDLY vs WHATSAPP
const abTestElem = document.querySelector('#ab__test');
const whatsapp = "<div class='whatsapp__btn'><a href='***********' target='_blank' rel='nofollow'><img src='/img/WhatsAppButtonGreenSmall.svg' alt='whatsapp'></a></div>"
const calendly = "<div class='calendly__btn'><a href='*************' target='_blank' rel='nofollow'> <img src='/img/calendly.svg' alt='calendly'></a></div>"
document.addEventListener("DOMContentLoaded", async () => {
const gb = new window.growthbook.GrowthBook({
apiHost: "<https://cdn.growthbook.io>",
clientKey: "************",
enableDevMode: false,
trackingCallback: (experiment, result) => {
// Example using Segment
analytics.track("Experiment Viewed", {
experimentId: experiment.key,
variationId: result.key,
});
},
onFeatureUsage: (featureKey, result) => {
console.log("feature", featureKey, "has value", result.value);
},
});
await gb.loadFeatures({
autoRefresh: true,
timeout: 2000,
});
const result = gb.run({
key: "cta_btn_variants",
variations: ["calendly", "whatsapp"],
coverage: 1,
weights: [0.5, 0.5],
});
if (result.value === 'whatsapp') {
abTestElem.innerHTML = whatsapp
gtag('event', 'cta_click', {
'event_label': 'whatsapp',
'value': 100
});
} else if (result.value === 'calendly') {
abTestElem.innerHTML = calendly
gtag('event', 'cta_click', {
'event_label': 'calendly',
'value': 100
});
}
});