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The Paid Traffic Truth — Issue 002

Published July 13, 2026 · Data for the week of July 5 to July 11, 2026 · Aggregated across hundreds of Wicked Reports accounts 

Rank your paid channels by ROAS and you get one order. Rank them by what a new customer actually costs and the order nearly flips. Google's ROAS is three times Meta's this week, and a new customer still costs 39% more on Google. If you move budget on ROAS alone, you are buying your most expensive customers on purpose. 

This week's number

Google's blended ROAS is 3x Meta's. A new customer costs $117 on Google and $84 on Meta. The channel that looks most efficient is the priciest place to buy a customer. 

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 

ROAS ranks your channels backwards

Here is the trap. You open your dashboard, you sort by ROAS, and you make a decision. Microsoft is at 2.60. Google is at 1.59. Meta is sitting at 0.52 and looks like a problem. The obvious move is to pull from Meta and feed the winners.

Now sort the exact same channels by nCAC, the cost to acquire a brand new customer, verified against first order IDs. Meta is the cheapest in the set at $84. Google is $117. Microsoft is $141. The order you just trusted has flipped on its head.

Screenshot 2026-07-14 161751

So which sort is right. Both, and that is the point. ROAS is not lying to you. It is doing something worse. It is folding two very different numbers into one and hiding both.

Look at what ROAS is actually made of. Google closes a lot of demand that other channels created, so it books high revenue against its spend and posts a strong ROAS. Meta introduces people who have never heard of the brand, many of whom buy something small first, so it posts a low ROAS even while it is doing the hardest and most valuable job in the funnel, finding new humans.

The two numbers that ROAS smears together are cost and value. Split them apart and the fog clears. Cost is nCAC, what you pay to acquire a new customer. Value is nLTV, what that new customer becomes over the next year. This week Meta is the cheapest to acquire at $84 but the lowest one year value at $97. Microsoft is the most expensive to acquire at $141 but the highest one year value at $341. Neither of those facts survives inside a single ROAS number.

One honest note, because this report only works if the numbers are trustworthy. This is the week after the July 4 selling season, so conversion softened a little across most paid channels, the normal post holiday give back. But the story this week is not a calendar story. It is structural. Search and Microsoft close demand and read high on ROAS. Social and video prospect and read low. That pattern does not need a holiday to show up, and it will look the same next week. That is exactly why you cannot budget on ROAS alone.

 03 / New Customer Acquisition 

The full acquisition picture, by channel

Screenshot 2026-07-14 162016

Meta is carrying the prospecting load. It brought in more than 40,000 new customers this week, and 89% of the customers it touched were brand new to the brand. That is the profile of a channel finding people, not milking a list. It is also the channel your dashboard told you to cut.

Conversion softened for most channels this week, the expected step down after the holiday selling week. YouTube was the exception, up 11%. Pinterest ran on a tiny base this week and is marked with an asterisk, so I am not using it to anchor anything.

 04 / First Click vs Last Click 

Who starts the sale vs who takes the bow

Screenshot 2026-07-14 162131

This grid is the mechanism behind the ROAS trap. Last click is the model closest to what the platforms report, and it inflates Google and Microsoft, the channels that close, while it shrinks Meta and Pinterest, the channels that open. Meta gives back 0.14 of ROAS on the last click. Microsoft gains 0.61. Judge a discovery channel on last click alone and you cut the thing that started the sale, then wonder why new customer growth stalled. 

05 / Overall Channel Performance

Where the money goes, and THE TRUE COST OF A NEW CUSTOMER Screenshot 2026-07-14 162241

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

 Screenshot 2026-07-14 162528

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.

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How this week's numbers were built. Aggregated across hundreds of Wicked Reports client accounts for the week of June 29 to July 5, 2026, except first click vs last click, which uses a rolling 90 day window. New versus repeat is verified at the order level against first party order IDs, not modeled and not surveyed. The new visit to new customer conversion rate credits the channel that originated the new visit. Channels without cost data, including email, SMS, organic, and influencer, are left out of the cost comparisons. Snapchat is excluded for negligible spend. Pinterest is marked with an asterisk because it ran on a small number of new customers this week, so it is not used to anchor any headline. The channel labeled Facebook in the underlying platform data is shown here as Meta. Charts and tables carry meaning through direction, labels, and contrast rather than color alone.

The Paid Traffic Truth · Wicked Reports wickedreports.com