We are a new fashion brand and testing out google shop ads. AOV = $200. Our cost per add to cart is $8 on meta ads. We are wondering if spending $20 per day for a 5 day campaign on google shopping, optimizing for ad to carts is enough to generate any useful data or conversions? Thanks!
Hi All,
I run a small business in New Zealand and am looking for someone to help with my Google ads and provide some good advice. Ideal person would be someone happy to get paid per qualified lead and that has had good experience in running ads campaigns. Thanks
If ai were to be turned off tomorrow could you survive and do your job?
Hi!
I have a question about GTM tag architecture in a multi-location setup where I manage multiple sub-accounts under an MCC.
Today, all Google Ads conversions are set up via GA4 import. In GTM, I already have a global GA4 Google Tag (G-123) firing correctly on all pages. Event tracking and e-commerce are working properly in GA4.
However, when I check the Google Ads panel for one of the sub-accounts (local accounts) under MCC, in the tag diagnostics section, I see the classic warning “No Recent Data / Your tag has never been detected” for the AW-123 ID of that specific account.
A few questions:
Do I still need to install the Google Ads tag (AW-123) if I’m already importing conversions from GA4 into Google Ads? Is installing this tag only useful to remove the warning in the diagnostics panel?
Since this is an MCC setup with multiple accounts, each with its own AW-123 ID, would I need to create a separate Google Ads tag for each account in GTM? If yes, should each tag fire on all pages, or should it be restricted per location (e.g., Page Path = /example/)?
Is it also needed to add the Google Ads destination link inside GA4?
Any clarification would be appreciated.
I uploaded llms-full.text to my website following Gemini recommedations. I have 2 questions actually.
Google never crawls my llms-full.text. Any clues?
Does llms-full.text really help the AEO?
They usually pop up together whenever I ask a question in google.
I've seen campaigns generate twice as many conversions while producing less revenue. I've seen winning campaigns fill CRMs with leads that never close. I've seen accounts hit target CPA and still miss business goals.
The problem is that ad platforms don't know what a good customer looks like. They only know what you tell them, so If you tell Google a form fill is success, it will find more form fills. If half of those leads are junk, that's not Google's problem. It did exactly what you asked.
The scary part is that an account can look healthier every month while the business gets worse. More conversions. Lower CPA. Higher conversion rate. Less revenue.
At some point every advertiser realizes they're not really managing campaigns. They're training algorithms. And the quality of the output depends entirely on the quality of the signal you feed in.
So here's my question for everyone:
What's the most misleading KPI you've ever optimized for?
Looking to start an autism centre for kids in Canada. Were couple months away from opening. Just trying to get my ducks in a row. Wondering if any agencies that or individuals that work in the autism ABA centre niche?
Skills (markdown) vs. API tools for AI agents — where’s the actual line? Been building agent tooling and keep hitting the same fork in the road, curious how others think about it.
Two ways to give an agent a new capability:
A skill — basically a markdown file (instructions, context, examples) the agent reads and reasons over. It then uses general tools like code execution or bash to actually do the thing. Cheap to write, flexible, human-readable. The downside is it’s probabilistic — the agent interprets it, so two runs can go two different ways.
An API / defined tool — a structured function call with a fixed schema. Deterministic, easy to log, easy to audit. The downside is you have to build and maintain it, and it boxes the agent into exactly what you anticipated.
The way I think about it: skills give the agent room to reason, APIs give you control and a clean audit trail. There was a post going around this week about 20M agents running alongside employees and needing to be “fully inspectable and auditable” — and that framing maps right onto this. A skill is flexible but harder to constrain. An API is rigid but you know exactly what it touched.
So where do you draw the line? Do you start everything as a skill and “graduate” the reliable stuff into hardened API tools once it earns it? Or do you reach for the API first when anything touches money/data?
FYI video credit u/microsoft
Ref: u/Chatgpt
​
Looking for some honest advice on whether I should switch to Google Ads or if the issue is deeper than the platform.
​
I run a pre-owned iPhone business in South Africa.
​
On Meta, things look good on paper:
​
Strong CTR, CPC, and overall engagement
​
Lots of add-to-carts and checkout initiations
​
Cheap traffic and solid reach
​
​
But conversions are the problem. I’ve spent around R14k total and only got about 6 sales across campaigns. Traffic comes in, people browse, but very few actually complete payment.
​
What I’m seeing in practice:
​
A lot of people are interested but don’t end up buying
​
Many can’t afford the device
​
A big portion fail BNPL approval
​
Others want long-term installment plans (12 months+)
​
It feels more like low purchasing power / low qualification than lack of demand
​
​
Business setup:
​
Competitive pricing for SA market
​
BNPL + cash options
​
Warranty, returns, reviews, trust signals, etc.
​
Limited stock (~15 devices rotating)
​
​
Main question: Would switching to Google Ads actually improve this by bringing in higher-intent buyers (people actively searching “buy iPhone 13” etc.), or is this mainly a conversion/affordability issue that will persist no matter the platform?
​
Would appreciate insights from anyone who’s run both in a similar space.