My name is Victor 👋 I run Google Ads for 7 & 8-figure Ecommerce & DTC brands ✅ 👉 My team & I manage account structures, strategy, feed management, conversion tracking, and much much more Here's some of my stuff ↴

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We raised $64M for this moment: Introducing Bustem. Bustem scans the internet to find and eliminate 100% of counterfeits RT + comment “SCAN” and I’ll send you a list of every scammer targeting your brand 🫵

Youtube ads for 2 of our clients we've been scaling for the last 2-3 months Currently sit at 8.5k CAD and 12k USD per week in spend Don't overcomplicate it when you're getting started > Clear creative testing framework and process. Just keep launching tests and get that

Youtube ads for 2 of our clients we've been scaling for the last 2-3 months Currently sit at 8.5k CAD and 12k USD per week in spend Don't overcomplicate it when you're getting started > Clear creative testing framework and process. Just keep launching tests and get that

Its ridiculous how many brands think google ads is brand and nothing else I could show you a thing or two

I wonder what the % of agency <> brand partnerships that fail, are because of bad results or something else? When you last fired your agency, why did you do it?

https://t.co/0Pt9wr7sjt

https://t.co/0Pt9wr7sjt

Everyone says “use performance buckets” in Google shopping But no one ever shows how So let me break down the 3 most common ways & their pros + cons 🧵

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Seriously steal no 3 if you want better google shopping results

"Should I exclude products from the all items campaign when I have made the performance buckets?" You're thinking about it the wrong way The answer is yes. Because you're not supposed to have an all items one anymore You should have a campaign per bucket Or a campaign with 2-3

That's pretty much it. If you have over 200 products or so, and spend over 5k per month Very very likely some performance bucketing will improve your performance Hope this thread gave you value and explained clearly how to just move ahead and implement this yourself. But if

The rollout plan 1. Decide how many buckets you need Sub 10k spend: 2-3 buckets 10-50k: ideally more 4-5 buckets +50k: definitely 4-5 buckets 2. Pick your method based on the above 3. Implement the method 4. You'll need to experiment a bit with the rules to get "good"

The key upgrade: We set it to auto update, so products move buckets automatically when they qualify That means your structure stays current without you “remembering” to do it Pros: 1. Extremely dynamic 2. Buckets reflect your business reality (not generic script assumptions) 3.

Example bucket set (5–6 buckets): Over Index: Over 3x ROAS Index: 2.5-3x ROAS Near Index: 2-2.5x ROAS Under Index: Under 2x ROAS No Index: Over 100 impressions, 0 clicks Zombie: Under 100 impressions The rules on the right of course you can just define however you want But

Why this is better: Because you decide what “performance” means A few examples of the better control: > You can exclude brand shopping data when bucketing (brand often inflates performance for specific SKUs and makes your buckets lie) > You can group variants intelligently. If

3/ My favorite: Supermetrics (or other data tool) → custom bucket logic → auto updates This is the “real system” version We pull product data via Supermetrics (but you can use whatever similar) so we can define buckets exactly how we want 1. Pull out raw data on every item

Quick honorable mentions (good, but incomplete) A) Top sellers from Shopify Pull your top selling SKUs → give them their own campaigns Simple, works, but it’s not a full system because it ignores opportunity products that need controlled spend to emerge. B) Product types