Less admin. More craft. Built for marketers who'd rather create. Track budgets. Monitor campaigns. Hit targets. All without drowning in different tools.
Just launched my first ad in ChatGPT last week
Here's my experience so far:
1. The insights SUCK. It will be hard to get any closer to zero insights
“$43 spent for 50 clicks…”
- ok on what?
- prompts?
- keywords?
I don’t know, at least, because the platform shows you nothing
2. The ad itself is super basic. You create ads as you do on Meta, but with the limited creative options you have on Google
You could basically say you “create one Google shopping ad at a time”
But at the same time, it’s one of the variables we actually “can work with” so we’ll just have to test a lot of superbasic ads, I guess
3. The “prompt targeting” feels really vague
You get a dull text saying that we should “describe” the searches we want to take part in. But it's very vague how to actually do that in the best way
However as this is the other thing we “can work with” I guess we’ll just have to test our way forward between ‘short simple keywords’ and ‘long prompts’ to see what works the best
Anyone have any useful tips for ChatGPT ads so far?
UTM tracking in GA4 is case-sensitive. 'Facebook' and 'facebook' are two different sources. One typo fragments your whole campaign's attribution. Here's how to set it up cleanly: https://t.co/RHkCbo2cz3 #UTM#GA4#PPC#PerformanceMarketing
Google Ads Shows €23,886 → GA4 Shows €17,016
Looks like a tracking issue?
Let me explain 👇
Both numbers are correct
But they're measuring conversions through different Attribution Models
📊 Google Ads
→ 399.56 Conversions
→ €23,886.58 Revenue
📊 GA4
→ 295.84 Conversions
→ €17,016.03 Revenue
↳ Uses the last Google Ads click attribution (GOOGLE ADS)
↳ Uses data-driven, cross-channel attribution (GA4)
↳ Only counts conversions after a user clicks an ad (GOOGLE ADS)
↳ Can count a conversion even without a paid ad click (GA4)
↳ Counts conversions based on ad interactions (GOOGLE ADS)
↳ Counts conversions once per session (GA4)
↳ Conversions may appear within a few hours (GOOGLE ADS)
↳ Takes around 24–48 hours to process and display data fully (GA4)
#PPC #GA4 #GoogleAds
A divorce attorney in miami pays $580 for a single lead on google. A plumber in dallas pays $340. An addiction treatment center pays $740. A plastic surgeon pays $1,200. Per LEAD. Not per customer. Per lead...
Fuck tiktok shop. Fuck amazon affiliates. Fuck $2.72 commission on a $34 magnesium bottle
The actual play is generating those leads for FREE w AI characters n selling them to businesses who are currently lighting $200-800 per lead on fire through google ads
These are public numbers. Open any keyword research tool. Type "[service] near me." The cost per click is right there. Most clicks don't even convert. Actual cost per LEAD = 3-5x the click cost
Now think about what happens when ur AI character posts "3 signs ur roof is failing that ur insurance company hopes u never notice" on facebook n it gets 400,000 views in dallas
Every person who comments "how do i check mine" is a qualified lead worth $280 to any roofer in that zip code
Comment-to-DM automation: "where are u located? i can connect u w a licensed roofer in ur area who does free inspections." The DM captures their city. U route the lead. The roofer pays u $140/lead (50% of google cost, he SAVES money, u print money, homeowner gets a free inspection)
14 leads/wk to one roofer = $1,960/wk = $8,540/mo from ONE client in ONE city
Stack it:
5 roofers across 5 cities = $42,700/mo
5 plumbers across 5 cities at $170/lead x 14/wk = $49,000/mo
3 divorce attorneys at $290/lead x 8/wk = $30,160/mo
Total = $121,860/mo from 13 local business clients
The AI characters:
Roofing = "retired home inspector" posting roof maintenance tips
Plumbing = "experienced handyman" posting home repair content
Legal = "financial wellness advisor" posting "protect ur assets" videos
Medical = "health advocate" posting symptom awareness content
$60/mo per character. Generates leads worth $140-600 each
(btw the retention is insane. A roofing company without leads is DEAD. They're not canceling ur $8k/mo if u deliver 14 qualified leads/wk at half their google cost. Avg google ads client churns every 4.2 months. Avg lead gen client on consistent volume stays 14+ months. U're not a vendor. U're their oxygen)
The real play: once u have 5 roofers paying $8k/mo, go to roofer #6. "i have 5 roofing companies paying me for leads. Taking one more in [city]. First to sign gets exclusivity." 12 month contract. $96k locked from one client. Repeat across verticals
The entire AI character space fights over $2.72 magnesium commissions while local businesses burn $200-800 per lead through google n BEG for alternatives
Same AI character. Same $60/mo. Different buyer. 40x the revenue
But lead gen for local businesses isn't a "post n pray" play like tiktok shop. The fulfillment is different. U need to know how to package leads, how to price territory exclusivity, how to structure 6-12 month contracts, how to build the DM qualification flow that captures zip codes... operational stuff that takes most solo operators 6 months of fumbling to figure out
Or u could join a team that's already done $55M+ in GMV n has the infrastructure to plug u into any vertical from day 1
ap3x. 1:1 coaching. Not a course. An operation
Fill out the form n we'll hit u back. Link in bio
Sell the leads. Not the supplements. The math has been done
few
Adalysis is great at Google Ads audits. But it stops there. If you run Meta or LinkedIn too, you're back to managing budgets separately. aubado covers all three in one place.
https://t.co/Skf6pXOckC
#PPC#GoogleAds#PerformanceMarketing#MetaAds
Why Some Angles Never Work (& How to Spot Them Before Testing)
Today, I’m going to take you inside the Angle Graveyard
I’ll show you the 3 types of angles that consistently fail & give you the exact diagnostic framework to audit your ideas before you spend a $$ producing them
The signup isn't the sale. It's just the start. Most SaaS teams track leads and clicks. The ones growing efficiently track CAC payback, LTV:CAC ratio, and trial-to-paid conversion. Tools that actually help: https://t.co/REFKeTiNLK #SaaS#PerformanceMarketing#MarTech
𝗠𝗼𝘀𝘁 𝗚𝗼𝗼𝗴𝗹𝗲 𝗔𝗱𝘀 𝗮𝗰𝗰𝗼𝘂𝗻𝘁𝘀 𝗱𝗼 𝗻𝗼𝘁 𝗻𝗲𝗲𝗱 𝗺𝗼𝗿𝗲 𝗰𝗵𝗮𝗻𝗴𝗲𝘀.
They need better decisions.
Less panic.
Less guessing.
Less touching settings just to feel productive.
More patience.
More diagnosis.
More respect for the data.
Good PPC is not doing more.
It is knowing what not to do.
#googleads #ppc #ppcchat
I took over this account 2 days ago and dropped their CPA by 74%.
All with a SUPER simple account structure & testing strategy
Creative Testing - ABO
→ Went through their ad library (hundreds of ads)
→ Batch tested a ton of them across 5 different ad sets
→ Yes, Meta skipped a bunch, but it helped me find winners fast
Scaling Campaign - Cost Cap CBO
→ Ad set 1: All historical winners from the account
→ Ad set 2: All proven winners from December testing - min spend limit
That's it.
What was broken:
Their past team was hardly testing anything.
All the spend was going to 1 ad that was extremely fatigued.
The account had zero velocity.
The fix:
Simplify the account structure + increase testing velocity significantly.
Sometimes the best strategy is just testing more and organizing better.
You don't need 10 campaigns and complex structures.
You need clean separation between testing and scaling, and you need to actually test.
2 days in, CPA dropped 74%.
Most agencies don't need one bloated PPC platform. They need 2 or 3 focused tools: one for optimization, one for reporting, one for budget monitoring. We broke down how to build that stack. https://t.co/CfjpvGl4BX #PPC#GoogleAds#MarTech
𝗚𝗼𝗼𝗴𝗹𝗲 𝗶𝘀 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 𝗮𝗱𝘀 𝗶𝗻𝘀𝗶𝗱𝗲 𝗔𝗜 𝗦𝗲𝗮𝗿𝗰𝗵
With the new Conversational Discovery Ads format, Gemini can generate ad creatives on the fly and place them directly into AI Mode responses.
This could become one of the biggest changes to search advertising in years.
Here's how it works 👇
https://t.co/ZzhPr5Q5Zt
#GoogleAds #AI #PPC
Your ad sets may be silently competing against each other, increasing CPC without improving conversions.
→ Similar audiences across multiple campaigns
→ Impressions split between competing ad groups
→ CPM and CPC rising silently
Even strong campaigns fail if audience overlap is ignored. A minor misalignment can cause wasted spend and skewed performance data.
Fix this by:
• Mapping audiences per campaign carefully
• Removing overlapping targeting segments
• Using audience exclusions to prevent cannibalization
Comment “CLEANUP” and I’ll send you my audience separation framework that prevents internal competition.
#GoogleAds #AudienceStrategy #PPCOptimization #DigitalMarketing #AdStrategy
Your analytics shows "Facebook", "facebook", "FB" and "fb-ads" as four different sources. That's not an attribution problem. It's a naming problem.
One shared UTM convention doc fixes it:
https://t.co/MuQxBpzlfa
#UTM#MarketingOps#PPC#DigitalMarketing
I just audited an account spending $18K/month on PPC with a 32% ACoS. Their agency had them bidding on 847 keywords. We killed 614 of them. New ACoS after 3 weeks: 19%. Sometimes the best ad strategy is knowing what to turn off.
You're cooked on Google if your ad copy says:
- "Highest quality fabric"
- "Best [company niche]"
- "Pure quality ingredients"
These might have worked in 2015, but the market has absolutely evolved beyond this.
You NEED to have headlines that evoke genuine emotion and trust.
- Use specific numbers: "Trusted by 4673 Happy Customers"
- Use results-focused callouts: "Clear skin in 90 days"
- Use emotional appeal: "Get Your Confidence Back"
You just have to think slightly harder than the next guy does and you're already on track to writing good copy.
Make an ad that people actually WANT to click.
Your ecommerce stack doesn't need 12 tools. It needs the right ones, properly set up.
We broke down what actually matters at every spend level.
https://t.co/HrH3F25BIq
#Ecommerce#MarTech#PPC