01 / Introduction

A follow up, because the data asked for one

Welcome to the fourth edition of the Paid Traffic Truth. Normally I bring you a new story each week. This week the data made me do something different and more useful. It let me check my own homework.

Last week's story was that ROAS ranks your channels backwards, because it fuses the cost of a new customer with the value of that customer and hides both. I said that pattern was structural, not a holiday artifact and that it would still be true after the July 4 noise cleared. This is the week that noise cleared. So let's see if it held. Every number below is first party and order verified, aggregated across hundreds of ecommerce brands.

02 / Analysis 

05 / Overall Channel Performance

Where the money goes, and THE TRUE COST OF A NEW CUSTOMER 

Meta and Google are again about 94% of tracked spend, so read those two rows together. Google's ROAS slipped from 1.59 to 1.43 while its new customer cost rose from $117 to $128. Both moved against you at once, and ROAS only showed you one of them. The markup column tells the same story it told last week, only louder. The gap between blended and true new customer cost is widest exactly where ROAS looks best. Microsoft's 73% markup is the cleanest example in the set. 

06 / New Customer Lifetime Value

What a new customer becomes over a year

The value grid is the piece that keeps the story honest. Meta is the cheapest new customer to acquire and the lowest one year value at $97. Microsoft is the most expensive to acquire and the highest one year value at $365. This is why the answer is never simply buy Meta and cut Google. The point is that cost and value are two separate facts, and ROAS shows you neither. One caveat that always applies here. This blends hundreds of brands at different price points, so read it as a directional market benchmark, not a promise for your store.  

07 / Conclusion 

A pattern that survives a second week is a pattern you budget around

One week of a surprising number is a curiosity. Two clean weeks of the same number, moving further in the same direction, is a pattern. The ROAS trap is not a July 4 story and it is not going to correct itself, because it is built into how the models assign credit. The closer gets the bow. The opener gets cut.

You do not fix this with a better dashboard. You fix it with two verified numbers standing next to each other, the cost of a new customer and the value of that customer over time. Watch those instead of ROAS and the budget decision stops moving against you.

01 / Introduction

One story, then the four grids

Welcome to the third edition of the Paid Traffic Truth. Every week I take one story from the world of paid traffic and break it down in the Analysis section, then hand you all four grids underneath it. New customer acquisition, first click vs last click, overall channel performance, and new customer lifetime value.

Every number comes from Wicked Reports first party new customer attribution and LTV, aggregated across hundreds of ecommerce brands and verified against real orders. These are the new customer numbers your ad platforms do not show you.

This week's featured story is the one that quietly reshuffles budgets every month. ROAS versus the true cost of a new customer.

02 / Analysis 

05 / Overall Channel Performance

Where the money goes, and THE TRUE COST OF A NEW CUSTOMER 

Meta and Google are about 94% of tracked spend, so this is where the real decisions live. Put the ROAS column next to the nCAC column and read them together. Google's ROAS is roughly three times Meta's, and a new customer costs 39% more on Google. Microsoft posts the best ROAS in the set and the biggest gap between its blended and new customer cost, a 64% markup you never see if you only watch ROAS.

There is a second thing hiding in the aCAC column. On every paid channel the true new customer cost sits above the blended number, because blended quietly includes your existing customers coming back. It is widest exactly where ROAS looks best. That is not a coincidence. The channels that look most efficient are the ones leaning hardest on demand someone else created.

 06 / New Customer Lifetime Value

What a new customer becomes over a year

This is the grid that finishes the story. Meta is the cheapest new customer to acquire and the lowest one year value at $97, a low order value high frequency profile. Microsoft is the most expensive to acquire and the highest one year value at $341. TikTok is expensive on day one but more than doubles its value by the one year mark, the strongest growth curve in the set.

Now the ROAS number makes sense, and it also makes clear why you should not trust it. Microsoft's strong ROAS is really a story about high value customers who close fast. Meta's weak ROAS is really a story about cheap acquisition of lower value customers who need time. Those are two completely different decisions, and ROAS gives you one blurry number for both. One caveat. This blends hundreds of brands at different price points, so read it as a directional market benchmark, not a promise for your store.

07 / Conclusion 

Split the number, then decide

ROAS is not a business metric. It is an efficiency metric for a single platform, and it hides the two things you actually need to run acquisition, the cost of a new customer and the value of that customer over time. The channel that looks best on ROAS was the most expensive place to buy a customer this week. If you had moved budget on ROAS alone, you would have paid more to grow slower.

The fix is not a better dashboard. It is two verified numbers next to each other. What did a new customer cost, and what will that new customer become. Get those and the budget decision stops being a guess.

How to Use First Click Attribution to Optimize Ecommerce Marketing

What content attracts the most valuable new clicks or leads to your brand?

You know, the ones who become buyers, and especially repeat buyers.

This is exactly what the First Click Attribution Model can tell you. An accurate First Click Attribution Report makes it easy to accurately depict the data about high performing or non-performing campaigns  at the top of your marketing funnel.

Once you can easily compare ROI across channels and campaigns, it's easy to get the highest ROI from your paid ad budget by killing the poor performing campaigns and scaling the high performing ones.

WHAT IS A GOOD ECOMMERCE CAC? (AND WHY YOUR PLATFORM'S CAC IS FICTION)

Every ecommerce operator wants a number - "what's a good customer acquisition cost?" Here's the honest answer up front — in 2026, the broad ecommerce average runs about $68–$84 to acquire a customer but that average is nearly useless on its own because CAC ranges from around $23 for pet brands to $377+ for electronics. And it's climbed 40–60% since 2023, so whatever you paid two years ago, you're paying materially more now.

But the benchmark isn't the real problem. The real problem is that the CAC number most brands are looking at is wrong before they even compare it to anything — because it comes from an ad platform that can't actually measure it. Let's fix both.

WHAT IS A GOOD ROAS FOR ECOMMERCE IN 2026? THE HONEST ANSWER (AND WHY THE NUMBER LIES)

Everyone wants a single number - what's a good ROAS? Here's the honest answer up front — the commonly quoted benchmark is 3:1 to 4:1, but the actual 2026 ecommerce average has slid to around 2.87:1, and the median is closer to 2:1. That means roughly half of all ecommerce brands are running below a 2:1 return. So if you're benchmarking against "4:1," you're comparing yourself to a number most stores never hit.

But the bigger problem isn't the benchmark. It's that ROAS itself — the way most brands measure it — is being quietly mis-reported by the very platforms you're using to calculate it. Let's fix both.

How to Improve Your ROI Without Increasing Ad Spend

Optimizing ad campaigns is a critical part of improving ROI and maintaining the health of your ecommerce business.

How to Track the ROI of Your Digital Marketing: The 2026 Guide to Measuring Real Profit and LTV

In a multi-channel world, a large share of digital ad spend is quietly wasted — misattributed to the wrong campaigns, spent showing the wrong ads to the wrong people. Credible 2026 estimates put programmatic waste around a quarter of spend and studies suggest proper attribution alone recovers roughly 27% of otherwise-wasted budget. However you measure it, the pattern is the same - money leaks when you can't see which campaigns actually drive revenue.

Tracking real ROI is how you stop the leak - spend where it works, cut what doesn't. But doing it accurately is harder than the formulas make it look. This guide covers how to set up ROI tracking for digital campaigns, the common traps, and how to avoid them.

Frustrated by ROI numbers you don't trust? Talk to a Wicked Reports optimization expert.

COHORT ANALYSIS: HOW TO TRACK LONG-TERM REVENUE, LTV, AND DAYS TO BREAK EVEN 

Here's a question most ecommerce brands can't answer accurately: how much money will the customers you acquire this month spend with you over the next year — and which of your campaigns brought in the ones worth the most? If you can't answer that, you're allocating budget blind. Cohort analysis is how you answer it.