Just took on the position of Website and Paid Media Manager for a large automotive retailer. I've been tasked with taking the lead for their CDP and GA4. Currently, their GA4 account is somewhat messy, as they rely on their advertising vendor's dashboard for conversion reporting. Right now, there is nothing tied into GA4 that reports actual sales. I was just looking for a little input from anyone who may be in the industry. Currently hashing out a plan for the best place to start cleaning up the data.

Seeing this new URL pop up into GA. It starts with /web-pixels@ and has a series of numbers and some keywords in it like /sandbox/, mixed with page paths which are part of my website.

Quick Google says it's got to do with the customer events/pixels and the way Shopify is forcing a sandboxed approach. I took a look here and we aren't using this portion for GA at all, we're using the Google/YT app. The country is still the expected country the website is serving, but now also has a lot of US based for the URLs starting with /web-pixels

Any ideas? Or anyone else seeing this right now? Started in May.

Something that comes up on basically every store I work on: GA4's purchase count and the real order count in the backend never match. GA4 is almost always lower - consent drop-off, blockers, iOS, people bouncing before the thank you page loads.

What I can never get a straight answer on is what people actually DO about it. Do you just call the backend truth and use GA4 for trends? Actually reconcile them? Or at some point go 'eh, close enough'?

The gaps I see usually run from ~10% up to a third on the messy consent setups, and I've mostly stopped chasing anything under 10. Where does yours land - is there a number people just live with, or does everyone kinda accept it never ties out?

Google Analytics Cert is BROKEN. On section 1.3, it automatically fails you, as the youtube videos say "Video unavailable", and you are unable to watch them. Cant believe Google, as a billion dollar company, lets this stay broken. How am I ever going to obtain my GA4 Certificate?

Estou desenvolvendo uma tabela Silver do GA4 no BigQuery com granularidade de uma linha por sessão e estou validando as métricas com a interface do GA4.
A propriedade utiliza Reporting Identity = Blended.
Consegui reproduzir corretamente métricas como Transactions, Revenue, Event Count e Pageviews, porém estou encontrando diferenças em Sessions, Users e Engaged Sessions.
Percebi que, para Sessions, os valores do BigQuery ficam muito mais próximos quando comparo com a interface filtrando apenas o evento session_start, em vez da métrica padrão de Sessions.
Minhas dúvidas são:
Em propriedades com Reporting Identity = Blended, faz sentido utilizar session_start como referência para validar sessões no BigQuery?
A diferença em Users é esperada por conta do Blended (Google Signals/modelagem), mas o mesmo pode acontecer com Engaged Sessions?
Existe alguma abordagem recomendada para aproximar essas métricas da interface do GA4 utilizando apenas os dados exportados para o BigQuery?

I’ve been comparing data across different website analytics tools and I’m getting completely inconsistent numbers.

One tool shows stable traffic, another web traffic estimation tool shows drops, and internal analytics tells a different story again. even when using different digital marketing insights platforms or competitor analysis tools, the outputs don’t really line up.

It feels like every SEO analysis platform or business intelligence software is measuring something slightly different, especially when you start looking at web traffic sources analysis and engagement tracking.

So i’m trying to figure out how do you actually validate traffic data in a way that gives you a direction of truth instead of chasing exact numbers that never match?

Right now i’m basically:
cross checking multiple website analytics tools
comparing site performance monitoring vs internal data
focusing more on trends in website engagement tracking and content marketing metrics
and trying to triangulate insights from different website optimisation insights tools

At this point, i’m less interested in perfect accuracy and more in finding a reliable signal across tools.

How do you handle the gaps between different audience demographics analytics and traffic analysis software?

As the title says, my last gsc dashboard update was on 12 of June. This seems to be the case for all 3 of my sites.

Before that it would be updated every 5-10 days.

Is anyone else having the same issue?

p.s. I know this subreddit is for googleanalytics, another one I checked for googlesearchconsole was locked..

Let’s be honest. Between Safari’s ITP restrictions, aggressive ad-blockers, and users opting out via consent banners, standard client-side browser tracking is completely dying. If your e-commerce data layer relies entirely on the browser to fire purchase events, you’re probably losing 15-30% of your data.

I see so many e-commerce brands wasting hours trying to fix "missing data discrepancies" in their GA4 browser configurations or fighting with Looker Studio to make the numbers match.

They paper over the cracks with fancy dashboards when the foundation is fundamentally broken. I'd rather have an ugly, basic spreadsheet built on solid server-side data than a beautiful dashboard built on client-side assumptions.

Server-side GTM isn't a "nice-to-have" luxury anymore; it’s the baseline for survival. If you aren't moving your purchase hooks, Meta Conversions API, and Google Ads tracking to a server container, your ad platform algorithms are optimising for incomplete data.

For those who made the switch: What was your biggest hurdle? Cloud hosting costs, getting developers to cooperate with the server endpoints, or just convincing clients that it’s worth the setup?

Hi all,

I’ve commented in GA/GTM communities in the past, but I have not really posted much myself. I’m trying to bring more value to the community through practical marketing analytics content, including YouTube videos, free tools and blog posts that help people think more clearly about measurement, GA4 and tracking.

One thing I keep seeing with GA4 setups is that the reporting problem often starts before GA4.

A company might have:

• GA4 installed
• Google Ads and Meta conversion tracking running
• CRM reports
• email and SEO reports
• paid media performance dashboards
• Looker Studio/BI dashboards trying to connect it all

But when someone asks, “what is actually driving results?”, nobody can answer confidently.

Or the paid media platforms show more total conversions than the backend actually has.

Or different teams are reporting different numbers because each channel is judging success in isolation.

In my experience, that is usually not just a GA4 problem.

The bigger issue is that there is no proper measurement structure in place.

Before getting too deep into GA4 events, GTM tags, server-side tracking, CRM reporting, attribution models or dashboards, I think teams need to clearly define:

• what the business is actually trying to achieve
• which KPIs matter at each stage of the customer journey
• how acquisition, retention and customer lifetime value should be measured
• which tools are responsible for which numbers
• how each marketing channel contributes to the wider picture
• what should and should not be treated as a conversion

Otherwise, you can end up with a technically “working” GA4/ads tracking setup that still does not help people make better decisions.

I recently put together a free video and SaaS measurement framework template walking through how I approach this.

I can share the links if useful, but the main idea is:

Do not start with the reporting.

Start with the measurement framework.

Has anyone managed to get this to work? The docs are unbelievably vague - I got a solution working for sheets, but we'd prefer it to come from an API connection to make it easier to integrate.

I have no problem building an API that will be able to serve the request it expects, but i'd rather not have to reverse engineer and guess what it needs from the request it makes

All the docs say it needs is a url (ok) and a username and password (how's it going to send that across?!)

I started getting renewed SPAM in GA4 at the beginning of June. Sort of like we had with the Chinese and Singapore tencent spam, which I successfuly blocked via Clordflare security rules.

But now it's Japan direct traffic lasting 0s. And US. And Hong Kong, Singapore, Indonesia, etc.

Is this happening to others?

What are you doing about it?

Hello everyone,

In the Analytics data for my show, I see a high percentage of (not set) for Source / Medium and Unassigned for Default Channel Grouping.

I’d really like to get my data as accurate as possible, so I’m wondering if there’s a way to get more information about these visits and assign them to a default channel group that better reflects where they came from.

Has anyone dealt with this before or knows how to investigate these visits?

Hey guys,
Is it just me, or has Google Ads data become completely unusable lately because of bot traffic? I’m losing my mind trying to filter out fake clicks and spam form fills just to figure out which campaigns are actually driving real phone calls and legitimate leads.
Standard GA4 and native dashboards are a cluttered mess for this.
I’m genuinely considering building a dead-simple, real-time audit dashboard to fix this for myself. The idea is to plug into the Google Ads API and use a basic landing page script to strip out all the bot data, leaving just a clean report of ad spend vs. real, verified actions.
Before I waste weeks building this out:
Do you guys have a clean way of filtering this garbage out already? Or would a stripped-down, zero-fluff tracking layer actually be useful to you?
Be brutally honest. (No links or self-promo here per the rules, just trying to see if this is a shared pain point or if I'm doing something wrong).

hello I've seen the new release of the budgeting feature of GA that uses "diminishing returns" measurements to tell us how to allocate in marketing

I'm skeptical, what's your opinion about it?

I'm running a bunch of different campaigns and need to add UTM parameters to track where traffic comes from. But building them manually is tedious and I probably mess up the naming convention half the time.

I need something that just lets me fill in campaign name, source, medium, and automatically generates the tracked URL. And keeps track of what I've already created so I'm consistent.

Right now I'm using a random Google Sheet which is obviously not scalable.

Catawiki is an online auction site in the EU. I'm hoping to run some auctions there and would like to promote them with a Google Ads search campaign.

I'm having a hard time checking whether Catawiki will allow me to connect Google Analytics.

Does anyone know if this is possible?

Most SEOs have no idea how much traffic they’re already getting from ChatGPT, Perplexity, Gemini, Claude, Copilot, etc. GA4 isn’t “blocking” it, it’s just dumping most of it into Direct/Unassigned because those visits often arrive with no clean referrer.

A few months ago, I was auditing a client’s GA4 and found 406 of chatgpt sessions sitting in Unassigned with 88.42% engagement and 459 key events, but zero channel attribution.

How I’m tracking LLM/AI traffic now

I created a new custom channel called “LLM/AI Traffic” (you can name yours whatever, the name doesn't matter, the rule does) and used a single regex rule on Source to catch the main AI tools:

.*(chatgpt|openai|perplexity|gemini|claude|anthropic|copilot|meta\.ai|searchgpt|ai\.google).* 

Channel setup:

• Channel name: LLM/AI Traffic
• Condition: Source > matches regex > the pattern above

No GTM changes, no new tags, no dev time, just GA4 config.

Our site is in this weird spot right now and i cannot tell if i am improving it or slowly killing it.

We run a small B2B product. for years the playbook was simple: write educational posts, ship case studies, run a few tests on key pages, repeat. Nothing fancy, but it kept leads coming in.

This year i tried to get serious about optimization. Real CRO, intent focused pages, better tracking, the whole deal. I trimmed dead pages, rewrote a bunch of old posts, tightened internal linking, tweaked copy so it matched what people actually type into search and chat tools.

On paper it worked. Rankings are fine. We get mentioned in AI answers here and there. Traffic is steady. GA4 funnels are cleaner than they have ever been.

And yet the conversion rate jumped up for a bit, then slid back to almost exactly where it was before I touched anything.

The part that bothers me most is that I do not know which change made things better and which change quietly broke something that used to work. I did a lot at once, so now every chart feels like a blur.

Couple of concrete questions for people who have gone through this and came out on the other side with their sanity intact:

For the month of June I am seeing a 0% bounce rate on all my top pages. I have a table with Top 100 pages, every one says 0% bounce rate. Has something changed with how GA4 calculates bounce rate? I am just using the Bounce Rate field in a data studio report, so far all historical bounce rates look realistic.

I am analyzing the GA4 data for a campaign on a DataStudio dashboard built for the occasion. All the data is filtered for "page path" contains "/campaign-page".

When looking at the "session source / medium" data, I noticed that several show a good number of sessions but 0 or 1 users. The affected sources / medium are mainly from UTMs, while the standard ones (like generic referrals) seem less affected.

Did you ever experience a similar situation? What could be the cause and where do you think I should start investigating?

Thanks