100 DAY AD SCHOOL DAY 46

Ad attribution is like crediting who told a joke. Most advertisers use a 1-day window but miss sales that take longer, so check 7-day and 28-day windows in Meta Ads Manager to match your actual sales cycle and stop killing ads too early.
Chapters
Has this ever happened to you before? You're sitting in class and you think of a funny joke. You say it, and then your buddy right next to you happens to hear it and says it louder and funnier. Everyone in the class starts laughing. And who gets the credit for the joke? You or your buddy? Well, your buddy does. What's even worse than this moment is in your ad account where you're running ads on Meta or Google and you actually don't know which ad gets the credit for the sale. That's what we call attribution, and it's one of the biggest problems that businesses don't understand. You ever stare at your ads manager and think, where the hell are my sales coming from? One ad's getting clicks but no purchases. Another one's got conversions, but no one's clicking it. And somehow your total revenue is up, but your ROAS is garbage. Welcome to the dark, frustrating world of attribution. And if you don't understand how attribution models actually work, you'll keep turning off ads that are working, or worse, keep running ads that aren't generating revenue. So today we're going to fix that. First, let's define attribution. Attribution is how a platform decides which ad gets credit for a sale. Let's break down the 3 main attribution models. Number 1: It's called Last Click. This is Google's default. Last Click gives 100% of the credit to the final click before the sale. This is great for direct response, but it can be terrible for upper funnel. Second, First Click. The First Click model gives all of the credit to the first ad that introduced the buyer to your product or service. This is very useful for awareness, but it's easy to overvalue. And number 3, Data Driven. This actually is Meta's default. This option lets Meta use machine learning to distribute credit across the whole journey. Someone might click your retargeting ad today, but Meta knows that your cold video from 3 days ago started the process. The data-driven model gives you the most realistic view of performance if you know how to read it. But now here's where most marketers mess this up. They're optimizing based on a 1-day attribution in Ads Manager while their product has a 7-day sales cycle. So if your customer takes 3 to 5 days to buy, but you're only looking at same-day conversions, you're killing profitable ads without ever knowing it. So what should you do? Number 1, Go into Meta Ads Manager, open up Columns, Customize Columns, and then Attribution Settings. View performance at 1-day, 7-day, and even 28-day windows. Number 2, you wanna match your attribution windows to your actual buying cycle. That means if your customer takes time to decide, your attribution model needs to reflect that. Number 3, don't panic when an ad looks cold. Check the longer windows before you kill it. Ask, is this ad starting conversations, warming leads, or closing deals, just maybe later in the journey? Potentially it could be. Now here's the bottom line, you can't optimize what you don't understand. Attribution isn't a reporting setting, it's a strategy. And if you master it, you'll stop guessing and start scaling. This is the 100 Day Ad School. Follow to become a master at paid ads by day 100.










