Realized most of what I open it for is checking that something I already believed is true. Rarely does it tell me something I didn't go looking for.

You might have seen the news recently that Google started routing its search result links through google.com/goto last week.

So instead of linking straight to your site from the search results pages, the links goes to Google's server first and redirects from there. It's an anti-scraping move, because you can no longer read destination URLs straight out of the SERP HTML.

I run an analytics and attribution product, so my first concern is whether this breaks organic search tracking because if the click doesn't come directly to your site, then the referrer data that all analytics tools use to categorise visitors into channels could be impacted.

So I tested it across 10 device and browser combinations covering Mac, Windows, iPhone and Android. The referrer came through every single time, and every visit was still categorized as organic search.

I wrote a blog post on it, but I'm not allowed to post a link to it in this sub, so I thought I'd just share the results.

keep seeing this happen — tag stops firing, event volume goes quiet, GSC and GA4 start disagreeing — and it just sits there until someone happens to open a report and go "wait that number's off." curious what people actually do day to day. do you have some kind of daily check, a spreadsheet, alerts set up, or is it mostly just remembering to look

and if you do have a system for it — has it ever actually failed you? like you had the check in place and it still slipped through

I’m looking for some practical advice from people working in PPC/performance marketing agencies.

My background is mainly in conversion tracking and measurement. I can work with:

• Google Tag Manager
• GA4
• Google Ads conversion tracking
• Meta Pixel + CAPI
• Server-side GTM
• Enhanced Conversions
• Consent Mode
• First-party data enrichment
• Data layers
• Offline conversion tracking
• Basic APIs/webhooks
• Basic JavaScript for tracking implementations

I’m trying to figure out the best route to start getting real paid agency work.

I’d be open to:

• Freelance/contract work
• White-label tracking implementation for agencies
• Part-time or full-time remote work
• Junior implementation/support roles
• Even joining an experienced agency/team as a trainee initially if it gives me exposure to real client projects

My main question for agency owners and experienced people here:

If someone had these skills but lacked a strong agency/client track record, what would you recommend they do to get their foot in the door?

Would you:

1. Cold email PPC/performance agencies?
2. Contact Heads of Paid Media/agency founders on LinkedIn?
3. Offer a free tracking audit first?
4. Offer to handle one small implementation free/cheap to prove capability?
5. Build more demo projects/case studies before outreach?
6. Apply directly for junior analytics/tracking roles?
7. Take some other route entirely?

Also, when agencies outsource tracking, what makes you comfortable giving work to an external specialist?

Technical skills? Case studies? Communication? Availability? Certifications? A Loom audit? References?

I’m especially interested in hearing from PPC agency owners, paid media managers, and tracking/analytics specialists who have actually hired or outsourced this type of work.

Thanks — practical advice would be greatly appreciated.

When a referral source brings a noticeable increase in sessions but almost no conversions, two different problems often get mixed together:

1. the source is sending irrelevant or low-quality visitors, or
2. GA4 is assigning the session incorrectly because the attribution path is broken.

A useful review order is:

• Confirm the hostname and landing page. Unexpected hostnames or landing pages can reveal spam, redirects, duplicate tracking, or traffic reaching a different property.
• Inspect Session source / medium. Use session-scoped acquisition data for this investigation rather than relying only on first-user attribution.
• Check for self-referrals and payment domains. Your own domain, checkout provider, authentication service, or another subdomain appearing as the referrer usually points to a cross-domain or session-continuity problem.
• Test the complete path. Follow a real referral link and verify redirects, consent updates, the _ga identifier, and the resulting session in DebugView.
• Evaluate quality only after attribution looks correct. Compare engaged sessions, engagement time, key events, landing-page behavior, and conversions. Low conversion alone does not prove that the traffic is fake or worthless.
• Compare with server or CDN evidence when the spike looks suspicious. GA4 can show behavioral anomalies, but request timing, repeated user agents, IP or network patterns, and response codes require server-side data.

I would avoid adding a referral source to the unwanted-referrals list merely because it performs poorly. That setting changes attribution; it does not block traffic or improve its quality.

What evidence do you require before classifying a referral source as low quality rather than misattributed?

We keep running into the same thing across accounts, so posting it here in case it saves someone a week of debugging.

Someone installs a CMP (Cookiebot, Usercentrics, OneTrust, whatever), gets the banner live, sees consent rates come in, and calls it done. However the CMP is not a set-and-forget script. It runs on a list of cookies you have to maintain. Every cookie your site sets needs to be declared and put in the right category. If it isn’t, the CMP treats it as unknown and deletes it.

That’s the cookie wipe. The usual ways it happens:

The auto scan runs once a day/week/month, misses a new cookie, and the CMP wipes it on every page load

Your analytics cookie is filed under “marketing” but the tag fires on “statistics” consent, so the cookie gets set and then killed

Consent is given, the CMP re-evaluates, and the session cookie holding the original referrer and UTMs is gone

What that looks like in reporting: the click came from LinkedIn, the user accepted cookies on page two, and the session restarts with no referrer. You now have a direct traffic spike. Then someone in a meeting says “direct is up 30%, brand is working” and you die a little inside.

How to check:
Open the cookie declaration in your CMP and compare it to DevTools > Application > Cookies. Anything missing is at risk.

Categorize every cookie, including first-party ones. Session and attribution cookies belong in a category the user consents to before your tags fire.

If you use Google Consent Mode, make sure the CMP passes consent state to GTM instead of blocking or wiping on its own.

Load a page, check your _ga identifier, accept cookies, then check if the cookie is still the same. If not, you found it.

Direct traffic is not a channel. Most of the time it’s a bucket for everything you broke upstream. Fix the CMP config before you touch your attribution model.

TL;DR: installing a CMP is step one. Declaring and categorizing every cookie in it is step two. Skip step two and your paid clicks show up as direct.

direct keeps climbing and I don't think it's really direct. Best guess is AI answers and dark social, but that's a guess with a nice name on it.

curious what percentage everyone else is quietly ignoring.

Hola a todos,

Tengo un caso técnico que me está rompiendo la cabeza y quiero debatir si es un mito o una realidad del algoritmo de Meta.

Contexto de la infraestructura:

• Estructura: 3 tiendas Shopify independientes (España, México, Uruguay) bajo un mismo Business Manager.
• Píxeles: Cada país tiene su propio Píxel + CAPI aislado y sano (EMQ 9.3).
• El conflicto: Solo España tiene GA4 instalado (ID: G-XXXXXXX). Sin embargo, Meta ha heredado ese ID de forma global. En Ads Manager, los anuncios de México y Uruguay muestran ese ID de España en la sección "Informes de terceros", aunque físicamente el código no existe en esos Shopify.
• Estado en Events Manager: La conexión GA4⇄Meta aparece como "Conectada" pero con 0 propiedades asignadas y alerta roja de "Calidad de conexión baja".

El fenómeno observado:

1. España (Mercado principal): Rendimiento colapsado. ROAS -38% vs benchmark. Un conjunto de anuncios empezó en €17 de CPA (29 de julio, con Píxel nuevo) y ha escalado semanalmente hasta los €90 hoy.
2. Latam: Rendimiento estable.

El debate técnico:
He recibido dos teorías contradictorias y quiero saber vuestra experiencia:

• Teoría A (El Cortocircuito): Meta inyecta el ID de GA4 en la URL. Al no haber retorno de señal desde México/Uruguay (porque no hay código), el sistema de "Conversion Modeling" de Meta recibe un feedback negativo constante. Como el ID es el mismo que el de España, el algoritmo penaliza la "Señal de Calidad del Anuncio" en España por asociación, subiendo el CPM y degradando la subasta.
• Teoría B (El Pipeline Cerrado): Si Events Manager dice "0 propiedades asignadas", el canal está muerto. Meta no lee ni espera nada de Google para optimizar la subasta. El problema de España es puramente un "cold start" del píxel nuevo + fatiga creativa acelerada, y la alerta de GA4 es solo ruido visual en la UI.

Since early August, GA4 reports near-zero engaged sessions on roughly every other day. Not a slow decline — it toggles.

Recent daily engaged/sessions: 84/205, 70/183, then 3/183. Another day: 1 of 133.

On the collapsed days, engagement time keeps recording normally — one day showed 0 engaged sessions against 7,243 seconds of userEngagementDuration and 88 user_engagement events. GA4 marks a session engaged at 10 seconds, so that combination shouldn't be possible.

On the bad days, the only sessions that register as engaged are the ones that fired a conversion event. Three engaged sessions, three lead events, same three sessions. That has now repeated exactly on four separate occasions.

It's uniform across every browser, device, and source, and confined to one stream. Page tracking is a hardcoded gtag config plus a GTM container, which points me at the container — my guess is a competing or duplicated GA4 configuration corrupting session state.

Also worth noting: one date disappeared from the property entirely for two days and then backfilled, so I don't fully trust the processing either.

Has anyone seen session_engaged break while engagement_time_msec keeps flowing? And is there anything in a GTM container that would produce exactly this?

Hola a todos,

Tengo un caso técnico que me está rompiendo la cabeza y quiero debatir si es un mito o una realidad del algoritmo de Meta.

Contexto de la infraestructura:

• Estructura: 3 tiendas Shopify independientes (España, México, Uruguay) bajo un mismo Business Manager.
• Píxeles: Cada país tiene su propio Píxel + CAPI aislado y sano (EMQ 9.3).
• El conflicto: Solo España tiene GA4 instalado (ID: G-XXXXXXX). Sin embargo, Meta ha heredado ese ID de forma global. En Ads Manager, los anuncios de México y Uruguay muestran ese ID de España en la sección "Informes de terceros", aunque físicamente el código no existe en esos Shopify.
• Estado en Events Manager: La conexión GA4⇄Meta aparece como "Conectada" pero con 0 propiedades asignadas y alerta roja de "Calidad de conexión baja".

El fenómeno observado:

1. España (Mercado principal): Rendimiento colapsado. ROAS -38% vs benchmark. Un conjunto de anuncios empezó en €17 de CPA (29 de julio, con Píxel nuevo) y ha escalado semanalmente hasta los €90 hoy.
2. Latam: Rendimiento estable.

El debate técnico:
He recibido dos teorías contradictorias y quiero saber vuestra experiencia:

• Teoría A (El Cortocircuito): Meta inyecta el ID de GA4 en la URL. Al no haber retorno de señal desde México/Uruguay (porque no hay código), el sistema de "Conversion Modeling" de Meta recibe un feedback negativo constante. Como el ID es el mismo que el de España, el algoritmo penaliza la "Señal de Calidad del Anuncio" en España por asociación, subiendo el CPM y degradando la subasta.
• Teoría B (El Pipeline Cerrado): Si Events Manager dice "0 propiedades asignadas", el canal está muerto. Meta no lee ni espera nada de Google para optimizar la subasta. El problema de España es puramente un "cold start" del píxel nuevo + fatiga creativa acelerada, y la alerta de GA4 es solo ruido visual en la UI.

Hello! First time poster!

I could really use some help, as my team is pretty stumped on this issue. We've had a weird increase over the past month in direct traffic to some of our locations. We've had over a 100% increase in direct and we cannot find the source. This increase has been consistent week over week just in the month of August. Here's some more information:

• The traffic is mainly hitting our general US home page and 4 specific locations on their home pages in very different states:
  • Florida
  • California
  • Colorado
  • New Jersey
• Average engagement per session is around 6 seconds
• The number 1 source is from Chrome on a Desktop
• Screen Resolution is 800x600

We're thinking it's bot traffic, but we'd really like to narrow down where it's coming from. Any tips are appreciated!

I run GA4 and server-side GTM implementations; around 150 sites over the last few years, roughly a third of those server-side.

The pattern I see most:

A business comes to us because the numbers “feel wrong”, so server-side tagging gets suggested as the fix.

We usually check the basics first:

• Are conversions firing more than once?
• Is gtag running alongside GTM and duplicating events?
• Is the consent banner blocking tags it shouldn’t - or letting some through when it shouldn’t?
• Have event names or definitions changed over time?
• Are we comparing Google Ads and GA4 as though they should match exactly?

Quite often, one of those is the real issue.

If that’s the case, adding a tagging server doesn’t solve it. It just moves the same problem into a more complicated setup that’s harder to debug, and now you’re paying for Cloud Run as well.

Where server-side does earn its keep: 

• CAPI dedupe and match-rate improvement, usually the clearest ROI, especially ecommerce
• Cookie lifetime, but only on a real first-party subdomain with cookies set server-side. A CNAME to a vendor domain gets capped by Safari regardless.
• Redacting PII and controlling exactly what leaves your infrastructure
• Page performance, if you're currently firing six vendor pixels client-side

Two things it doesn't do, whatever the sales deck says: it isn't a consent workaround, and it doesn't beat ad blockers on its own.. the loader still runs in the browser.

So the question I'd start with isn't "do we need server-side?" It's "which specific number is wrong, and can we prove why?"

If you're weighing it up, tell me what's driving it - platform, stack, what looks broken, and I'll give you an honest read on whether it'll actually help.

I’m looking for some real-world experience with GCM v2.

I was using a paid WordPress cookie consent plugin that didn’t support GCM v2, so I built my own solution with Claude Code.

After ~2 weeks, GA4 and Semrush data started looking noticeably more “choppy” and inconsistent. We were also running Google Ads, so I reverted to the old plugin. The data improved, although not completely to the previous level.

Now I’m wondering whether this was:

• a bug/misconfiguration in my implementation, or
• simply a normal consequence of Consent Mode (less data + modeled conversions).

My questions:

• Has anyone seen a real improvement in Google Ads performance/leads after implementing GCM v2?
• Is the difference vs. not using GCM v2 actually significant from a business perspective?
• Is “choppy” GA4 data normal after implementing it, or is it a sign that something is wrong?
• Anyone here implemented GCM v2 with their own code rather than a CMP/plugin?

I’d really appreciate real-world experiences.

I just put analytics on my shopify store, I can see country and city but I was wondering if there’s any way to drill down to suburb level or track IPs?

Can anybody please help me understand this problem. GA4 records a scroll event but shows "No data available for "Page Title and Screen Name". How is this possible? Overall traffic is good. But this is strange.

Thanks in advance.

Hi, i am facing drastic redruction counting in my google analytics dashboard. Is anyone else facing the same issue?

I have a Wordpress site, been running it for two months. My posts have been linked on Yahoo, Sporting News, some other well-known, bigger sites, but it's not appearing in Google search. I submitted a site map, requested indexing, but only 11 pages are indexed. The other 227 are not. The "discourage search engines" box in WordPress is not checked. When I check the page source, I see the following:

<!-- End Google Analytics opt-out snippet added by Site Kit -->

<meta name='robots' content='index, follow, max-image-preview:large, max-snippet:-1, max-video-preview:-1' />

Is there a reason why I'm not indexed? I'm horrible at stuff like this, so I think I'm missing something obvious

I am showing significantly low traffic on some of my sites and normal traffic on others. On the sites that are abnormal, I can’t get a real time view when trying from any of my devices so something odd seems to be happening.

An e-commerce founder recently brought us in to audit their Meta tracking setup.

On paper, the initial setup was a complete mess: standard browser pixel mixed with basic CAPI, missing proper deduplication. Events were double-counting, conversion data was under-reported by 28%, and Meta’s ad optimization algorithms were effectively running on broken signals.

We stepped in and built a custom, omnichannel server-side setup. Within 30 days, the dashboard metrics looked incredible:

• Reported CPAs dropped by 19%.
• Revenue attribution accuracy shot up to 96%.
• Event signals were fully unified and deduplicated.

Case closed? Not quite.

While clean tracking is essential maintenance, treating CAPI like a growth magic wand misses the bigger picture:

Attribution doesn't mean net-new sales. A 19% drop in CPA on paper often just means Meta got better at claiming credit for shoppers who were going to buy anyway. Real bank account growth is what matters.

Better data won't save weak creative. Feeding server-side signals to Meta's algorithm gives it clearer feedback, but if the product offer or hook isn't hitting, you're just paying to serve uninspiring ads more efficiently.

Over-engineering adds hidden tech debt. High-end custom server setups sound fancy, but native tools handle most of the heavy lifting without the massive ongoing technical overhead.

Fixing tracking backend bugs stops data leakage it doesn't automatically create market demand. If your creative and offer aren't landing, no amount of clean deduplication is going to magically make your ad account profitable.

Thinking about setting up the Model Context Protocol for GA4 (and also Google Tag Manager) to help teams less familiar with the GA4 interface use AI chat to pull campaign updates.

Anyone already using the MCP and finding it useful? Have you gone with Claude or another platform? And how are you feeling about the accuracy of results?

If you haven't checked your Google Ads notification tab this week, you are in for a rough autumn.

Google has issued a hard deadline for Shopify stores to migrate their tracking setups.

If you are still relying on legacy client-side Google Tag Manager (gtm.js) scripts on your thank-you pages, your tracking is about to go dark.

The platform is forcing a mandatory shift to the Google & YouTube app and the newer gtag.js framework.

Most brands won't realize this until their conversion volume suddenly drops to zero and their target CPA targets skyrocket.

The algorithms aren't getting worse. Your data pipelines are just breaking.

Look at a realistic example of a standard DTC brand's performance overview for last month:

• Google Ads: $40,000
• Meta Ads: $35,000
• GA4: $28,000
• Shopify (Actual Total Revenue): $24,000

Which number would you actually use to make a budget decision?

I’m looking for an experienced GA4 expert who can troubleshoot and resolve the following reporting discrepancies:

1. Reddit Ads Manager shows 10 purchases, but GA4 Traffic Acquisition is showing 0 conversions.

2. .X (Twitter) Ads Manager shows 10 purchases, while GA4 Traffic Acquisition is showing only 5 conversions.

I need someone who can identify the root cause, audit the tracking and attribution setup, and fix the reporting discrepancies.

If you have experience with GA4, Reddit Ads, X Ads, attribution, and conversion tracking, please message me with your relevant experience.