pgpt

I guess I'm misunderstanding something. Any help is much appreciated. TIA!

So, CAPI was released because Facebook needed third-party cookies to track users, and also Google Chrome (the largest market share for any search engine) blocking third-party cookies by Q2-2025. This would make Facebook pixel useless, according to several marketing blogs.

But when I check my browser’s dev tools, I see that the Facebook pixel creates a _fbp cookie in a first-party context, plus an _fbc cookie if the visitor arrives via a Facebook ad. These cookies are unique to the user and the site. The pixel then sends the cookie values as query parameters in the GET requests to Facebook servers for each event.

So, if the Facebook pixel is already using first-party cookies and adding their values to the URL, I’m confused about why we need the Conversions API. It's supposed to fix the issue of third-party cookie blocking, but since we're dealing with first-party cookies and sending their values in the URL, I don’t get what problem CAPI is solving.

Could someone clarify this for me? Any assistance would be greatly appreciated! Thank you!

Hello team,
I’ve created both a web container and a server container. I have also set up a Facebook Conversion API (CAPI) tag in the server container for tracking purposes. During this process, i realized that i don't need to create a Facebook pixel. However, my current setup still includes the Facebook Pixel tag on the client side. I understand that the Facebook Pixel is essential for the Facebook CAPI tag, but what role does the Facebook Pixel tag in the web container play in this setup and is it possible that client-side tracking can be affected by pixels anti-tracking?

So i want to know do i need to use Facebook pixel alongside server-side tracking with the Facebook CAPI tag?

I'm having a difficult time with Shopify's new Web Pixels API. All scripts added as "web pixels" run in a sandboxed environment within an iFrame, which is messing up the UET tag from Microsoft Ads. It seems like the tag can't access the necessary URL parameters (like MSCLKID) needed for conversion tracking.

I thought about extracting the parameter and sending it with the tag, but Microsoft's documentation is pretty vague and doesn't explain how to override these parameters. Has anyone found a workaround for this? How can I track conversions from Microsoft Ads with the new Web Pixels API? Any tips would be great!

I'm currently dealing with a really confusing problem where 'purchase' events aren't showing up correctly in GA4, Google Ads, and Facebook Ads. 'Add to cart' and 'check out' events are tracking just fine, but 'purchase' events seem to be missing when real customers make a purchase. When I run tests in GTM and Facebook Event Tester, everything looks good and the purchase events fire correctly.

I've double-checked all my settings and configurations, but the issue is still there. Has anyone else run into this or have any ideas on how to fix it? TIA!

I started my Facebook campaign yesterday, and it shows 48 purchases, but I haven't actually received any orders. I tested the payment process, and everything seems to be working fine. I'm also running ads on other platforms, and the discrepancy there is much smaller. The pixel and events are set up and showing purchases, but they're not accurate. Any ideas on what's going wrong?

I'm running a TikTok campaign and spent $80. Shopify dashboard shows $0 with zero clicks, while TikTok Ads Manager shows $16 spent, 2000 clicks, and sessions on my store. Shopify analytics only show 10 sessions. I want to know what is causing this discrepancy.

Since March, my Shopify analytics have been off, especially with session tracking—it's stuck at 5 sessions despite checking incognito on various devices. Seems like it's not picking up new data. Any ideas?

When i log into my Shopify store I see "online store sessions" Here, the number is much lower than the number i see in Google Analytics. While i trying to resolve this issue i read somewhere that this is because Shopify counts the sessions where the users accept cookies and google only counts those who came to your store via a Google search. I don't think that this is true as a few months ago this wasnt the case. This discrepancy also distorts my conversion rate.

We've recently transitioned to Shopify, and I have noticed that Shopify Analytics is not attributing sales to Google Ads; it only attributes them to Google organic search. The revenue attributed to organic search in Shopify Analytics differs significantly from what is reported in Google Analytics 4 (GA4). It seems that Shopify might be combining revenue from Google Ads and organic search, though there is still a discrepancy of about 8-12%.
Additionally, Shopify Analytics appears to credit Bing but not Microsoft Ads for sales.

I have auto-tagging enabled for both Google and Microsoft Ads. Microsoft Ads seem to be working correctly because, when I examine Shopify reports, the UTM campaign medium and source data are accurately passed through. However, it's puzzling that, despite applying the same settings to Google Ads, the tracking code doesn't seem to work properly.
For example: a few days ago there was one conversion that happened via google ads but when i look at reports in shopify it attributed it as direct purchase.

So this is what i see on my sessions page:
Store visits were direct
Visited on December 5, 2023 at 6:21 pm
The referral code used was googleads
app details
source=googleads is our Final URL suffix, so that's obviously making it to Shopify
No marketing apps were used to facilitate this session. Learn more
UTM Parameters
No UTM parameters were available for this session.

I'm experiencing discrepancies between the data reported in Google Analytics and Shopify Analytics. The inconsistencies are particularly noticeable in sales figures (net and gross), as well as views, conversion rates, and shopping cart analysis. For instance, one platform reports 160 views while the other shows only 25.

Need help to understand why my Shopify data is not syncing with my GA4?

Context: I have installed the Google app on my Shopify and also linked my Google Analytics, Merchant Center, and Google Business accounts. While most of the data is syncing correctly, some of it is not. Here's the detailed breakdown of the issue:
Engagement Data
Events: The "Total Revenue" event is not syncing under the event name.
Pages and Screens: "Key events" and "Total Revenue" are not syncing on a per-page basis.
Monetization Data
Overview: Data for "Item list name," "Item promotion," "Order coupon," and "Product ID" are not syncing.
Checkout Journey: Events such as "Add shipping," "Add payment," and "Purchase" are not syncing.
Users Data
Demographics: User data categorized by "Gender," "Interest," and "Age" is not syncing.
Explorations Data
Funnels Custom Report: The "Viewed Product" event is not syncing.
Support Challenges
I've contacted Shopify support, and they suggested that Google support should resolve this. However, when I reached out to Google app support, they referred me to the help center community. Both support channels have been unable to provide a solution.

Hi,

Earlier I used to get very few other search terms in my Google Ad Groups. But now they are about 70% of the total clicks. Its increasing my ad spend, and its essentially ad wastage for me. (Ad spend waste as high as 70%). Is there a way to find these other search terms in Google Ads? I want to create a Negative Keyword list out of it, and upload it to Google Ads.

TIA!

Having trouble connecting to the PostgresSQL database. I'm trying to link my Power BI Desktop to a Postgres RDS on AWS. This error pops up when setting up the connection:

Error: "Details: "An error happened while reading data from the provider: 'The remote certificate is invalid according to the validation procedure.'
Please help. TIA!

There's a definitely a difference -

1. Bounce Rate in Universal Analytics -
So far, the 'Bounce Rate' has represented the proportion of sessions on your website that consist of a single page view. To illustrate, if one visitor comes to your website and views one page, and another visitor views two pages during their site visit, the resulting bounce rate would be 50%. This calculation stems from the fact that half or 50% of these sessions involved a solitary page view.

In this context, the visitor who lands on the site and views only one page is classified as a bounce. The formula for calculating the bounce rate involves dividing the number of bounces by the total number of sessions:

{Bounces/Sessions} = {Bounce Rate \%}

2. Bounce Rate in GA4 / Google Analytics 4 -
In Google Analytics 4 (GA4), the calculation for bounce rate differs. Bounce rate in GA4 is essentially the inverse or opposite of Engagement rate.
In GA4, the bounce rate represents the percentage of sessions that did not involve engagement.

Now, let's delve into what defines an engaged session

2A. What is an Engaged Session in GA4?
An engaged session is characterized by the following criteria:

1. Duration exceeding 10 seconds
2. Activation of a conversion event
3. Viewing of 2 or more pages

(Keep in mind that a GA4 session automatically times out after 30 minutes of user inactivity.)

Conversely, if a user's session falls short of 10 seconds, includes only one page view, or lacks the triggering of any conversion events, it is categorized as a non-engaged session or a "bounce." Therefore -

2B. What constitutes a "Bounce" in Google Analytics 4 (GA4)?
In GA4, a bounce is characterized as a session that did not meet the criteria for being considered an engaged session.

3. How is the bounce rate calculated in GA4?

In Google Analytics 4 (GA4), the bounce rate is determined by dividing the number of bounces (non-engaged sessions) by the total number of sessions. The result is then multiplied by 100 to obtain a percentage.

{Bounces (non-engaged sessions) / Sessions} \times 100 = {Bounce Rate \%}

For instance:
Let's assume there were 100 sessions, with 60 of them being engaged sessions.

Step 1: To find the non-engaged sessions, subtract the engaged sessions from the total number of sessions.

{ sessions} - 60{ engaged sessions} = 40 { non-engaged sessions (Bounces)}

Step 2: Divide the 40 bounces (or non-engaged sessions) by the total sessions to calculate the bounce rate.

{40}{100} \times 100 = 40\%{ Bounce Rate}

4. How is the engagement rate calculated in GA4?
Since the bounce rate is the inverse or opposite of the engagement rate, we can employ the same calculation as mentioned earlier, substituting "Bounces" (non-engaged sessions) with "Engaged Sessions."

{Engaged Sessions}{Sessions} \times 100 = {Engagement Rate \%}

Using the same numerical example:

{60}{100} \times 100 = 60\% { Engagement Rate}

Therefore, there is a 60% Engagement Rate and a 40% Bounce Rate.

5. Is it possible to compare the bounce rate in Universal Analytics (UA) with GA4?
Not quite. Despite sharing the same metric name, bounce rate, there's a disparity in the definition of bounce rate between GA4 and UA. Hence, attempting to draw comparisons would be akin to comparing apples and oranges. For instance, let's examine one of our pages in both GA4 and UA:

The Bounce Rate for the identical page within the same date range exhibits a notable disparity.

Bounce rate on GA4 = 48.92%
Bounce rate on UA = 93.68%

This discrepancy arises from the distinct ways in which they measure "bounces" or "engagements," as elucidated earlier.

6. What is a Good Bounce Rate in GA4?
An optimal bounce rate is one that is minimized. Ideally, you aim for a high engagement rate coupled with a low bounce rate. Visualize this as a seesaw or a set of scales – the goal is to elevate the engagement rate while minimizing the bounce rate. Once you begin tilting the scale in favor of engagement, typically around the 60% engagement rate/40% bounce rate threshold, you are heading in the right direction.

Hope this helps!

Bounce Rate in Google Analytics 4 (GA4) and Universal Analytics are giving different results. Why is this so? How is bounce rate in GA4 different from bounce rate in universal analytics?

Please provide a step-by-step guide for the same. TIA!

Need a step-by-step guide for the same. TIA!

Please create a step-by-step guide. TIA!