8 min read
The Paid Traffic Truth : The New Customer Markup Your Dashboard Hides
The Paid Traffic Truth — Issue 001
The Wicked Reports Weekly · Week of Jun Jun 21–27 2026 · Verified first-party order data · vs previous period
Across every paid channel this week, a new customer cost 20% to 60% more than your blended CAC. If your acquisition goal was built on that blended number, you are quietly starving top of funnel.
01 / INTRODUCTION
Welcome to the first edition of the Paid Traffic Truth report. Every week I feature one story from the world of paid traffic in the Analysis section, then give you all four grids underneath it - new customer acquisition, first click vs last click, overall channel performance, and new customer lifetime value. All of it comes from Wicked Reports top of funnel new customer attribution and LTV, aggregated across hundreds of client accounts and verified against real orders.
This week's featured story is nCAC vs aCAC, channel by channel.
02 /Analysis
New customers cost more than your dashboard says
This week's story is the gap between two numbers that look almost the same and are not.
nCAC = cost to acquire a new customer.
aCAC = cost to acquire any customer.
All new versus any customer data is validated against first party order IDs.
The cost to acquire a new customer this week ran $20 to $55 higher than the cost to acquire any customer. And that any customer number includes your existing customers coming back to repurchase, which is exactly why it looks cheaper than it is.
Microsoft is the sharpest example. On a blended basis a customer looks like $86. A brand new one actually costs $141, a 64% markup you never see if you only watch blended CAC. Google tells the same story at the biggest spend level in the set, $74 blended against $105 for a new customer.
Factor that markup into your nCAC goals. Start with your aCAC, spend divided by total customers. Then add at least 20% to reach a realistic new customer cost, and if you lean on search, assume a lot more. The gap this week ran from about 20% at the low end to more than 60% on Microsoft.
Now the part that quietly costs brands their growth. I see this happen constantly. Spend gets cut at top of funnel because it does not hit a CAC goal. But that goal's foundation included repeat purchasers. So you get a hamster wheel. You cut spend at TOF, you see great numbers in Meta or Google or wherever, and your bottom line new customer growth stalls.
Realistic nCAC goals are the place to start fixing that.
03 / New Customer Acquisition
nCAC vs aCAC, every paid channel
A high nCAC is only a problem if the customer never returns. New-customer value at 30, 90, 180, and 365 days tells you which expensive channels are actually your best ones.
The orange bar sits above the light bar on every single channel. The two that look cheapest on a blended basis, Google at $74 and Microsoft at $86, carry the widest jump to their true new customer cost. Cheap looking is not the same as cheap.
04 / First Click vs Last Click
Who starts the sale vs who takes the bow
Microsoft and Google post the strongest last click ROAS because they are usually the final step before a purchase. But the prospecting channels that introduce customers, Facebook, Pinterest, TikTok, YouTube, all read higher on first click than last, so a positive credit gap means last click is taking credit and a negative one means last click is giving it away. Judge a discovery channel on last click alone and you cut the thing that started the sale. More on this gap in a future edition.
Two channels own this market. Facebook is 56% of tracked spend and Google another 37%, so about nine dollars in ten flow through Meta and Google. aCAC came down on most channels this week, and Facebook's average order value fell 41%, which at this scale reads as calendar and mix rather than a change in behavior. Read the direction of the trend, not any single week in isolation.
06 / New Customer Lifetime Value
What a new customer becomes over a year
Microsoft and Google produce the most valuable new customers over a year, $324 and $215, and both clear their new customer CAC comfortably. The prospecting channels tell a growth story of their own. A new TikTok customer is worth about 2.3 times their first order value by the one year mark, Pinterest about 1.9 times. Facebook is the mirror image, cheap to acquire but the lowest one year value in the set at $111, a low AOV high frequency profile. One honest caveat. This blends hundreds of brands at different price points, so read it as a directional benchmark for the market, not a promise for your specific store.
07 / Conclusion
Measure new versus repeat, then decide
The thread through all four grids is the same. The numbers your ad platforms and your dashboard hand you, blended CAC, last click ROAS, a single week's ROAS, all flatter the channels that close and hide what a new customer truly costs and returns. Measure new versus repeat at the order level and the picture changes, sometimes enough to change where your next dollar goes.
See your own four grids
Your real nCAC next to your aCAC, your first versus last click gap, your new customer LTV by channel, in your own account.
How this week's numbers were built. Aggregated across hundreds of Wicked Reports client accounts for the week of June 21 to 27, 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. aCAC is spend divided by all customers. nCAC is spend divided by verified first time customers. Channels without cost data, including email, SMS, organic, and influencer, are left out of the CAC comparison and the chart. Charts and tables separate series by light and dark contrast, direct labels, and direction glyphs rather than color alone.
Topics: Google Ads Marketing Attribution New Customer Acquisition Cost (NCAC) Meta Ads eCommerce Marketing Attribution paid traffic paid media benchmarks DTC marketing TikTok ads
7 min read
Facebook Ads vs. Google Ads in 2025: Attribution & ROI Compared
Facebook Ads vs. Google Ads: Which Delivers the Best Marketing ROI?
Whether you are currently running digital ads or thinking about it, you need to consider all the pros and cons for using different advertising platforms.
Topics: Wicked Reports Facebook ads Google Ads Paid Social Media eCommerce Advertising ad platforms comparison paid search machine learning ads
6 min read
Optimize Google Ads ROI: Data-Driven Attribution Guide
If you aren’t optimizing your Google Ads campaigns, you might as well throw your advertising budget into a flaming dumpster.
Topics: Wicked Reports Google Ads Marketing Attribution Software machine learning ads Predictive Behavior Report Return on Investment (ROI) Kill-Chill-Scale Return on Ad Spend (ROAS) Competitive Research
6 min read
GCLID vs GBRAID vs WBRAID: Decoding Google Ad Identifiers
.png)
Most Google advertisers understand that Google click IDs (known as GCLIDs) can help power Google Ad smart bidding campaigns when they are captured and uploaded back to Google.
However, GCLIDs have recently started “disappearing” in some cases, and/or being replaced by GBRAIDs and WBRAIDs in certain instances. Why is this happening?
It all comes down to changes Google has made in the wake of Apple’s iOS14.5 software update.
**iOS 17 Update: Link Tracking Protection**
Apple has continued its privacy push with iOS 17's Link Tracking Protection (LTP) feature. When a user engages with a link in Mail or Messages, or browses in Private Mode in Safari, LTP is designed to strip tracking parameters like GBRAIDs and potentially GCLIDs from the URL, causing them to "disappear" or be modified before the user lands on your site. This reinforces the need for robust, server-side tracking solutions to ensure consistent and accurate conversion attribution. For a detailed breakdown on managing these latest changes, see our dedicated post: https://www.wickedreports.com/blog/ios-17-link-tracking-protection
In summary, if a click is coming from an iOS device, and the user has opted out of tracking, you will see either a GBRAID or WBRAID, depending on criteria you can read about below.
If your Google Ad click is coming from a NON-iOS device, you will still see GCLIDs and be able to optimize them as normal.
Here are all of Google’s resources on this change: https://support.google.com/google-ads/answer/10417364
Bidding considerations for impacted campaigns
Campaigns using Smart Bidding will continue to set bids based on the most accurate measurement available. However, we recommend that you prepare for the above changes by closely monitoring the performance and delivery of all campaigns serving on iOS traffic and, if necessary, make adjustments to budgets and Smart Bidding CPA or ROAS targets to help you achieve your goals. For example: If you would like to increase spend, you can raise CPA targets or lower ROAS targets as needed.
Overview
When Apple’s ATT policies take effect, we will no longer send the Google click identifier (GCLID) for ads on iOS 14 traffic coming from impacted Google apps. This new ATT compliant parameter, known as “wbraid”,replaces gclid on most iOS surfaces. Advertisers should ensure that the destination websites in their advertising campaigns can receive an additional passed URL parameter and that any web attribution systems they may have can support this parameter, when needed. On non-iOS surfaces, “gclid” will continue to serve as the primary mechanism by which we attribute conversions. Please note that search is not affected by this change, and will continue to use gclid.
Q: What should my advertiser do to ensure they are prepared?
A: As a best practice, we recommend the advertiser implement One Google Tag (OGT) (gTag.js and/or Google Tag Manager).
In addition, a small percentage of advertisers may need to ensure their site is able to accept arbitrary URL parameters by following the directions here -> https://support.google.com/google-ads/answer/1033981
Q: How does this new parameter work?
A: Similar to GCLID, this new parameter is dropped in a 1st party cookie set by A Google Tag (including gTag.js, gtm.js, and analytics.js linked to an ads account) when a user lands on a page after clicking on an ad. This parameter helps attribute conversions back to ad campaigns but does not uniquely identify the user.
Q: Why is this new parameter ATT compliant but gclid is not?
A: This new parameter uses techniques that ensure it cannot be tied back to any one individual user. wbraid uses aggregation techniques to ensure ATT compliance. We are exploring additional techniques like deidentification, in line with Apple’s ATT policies.
Q: What is the visible impact of this change?
A: This is a backend change that advertisers will not see in the Google Ads UI (front-end). The new parameter will be dropped in a 1st party cookie by default and this parameter will be used to pass conversions to your Google measurement solutions in an ATT compliant manner. As always, advertisers can opt out of 1st party measurement all together which will disable use of GCLID as well as this new parameter. Advertisers may see this new parameter present in some URLs that originate on iOS traffic
Q: What is the difference between the “gbraid” and “wbraid” parameters?
A: Both parameters function similarly, in that they are added to the URL (in place of historical identifiers) to measure when the ATT prompt is not accepted. Both parameters also use aggregation techniques to attribute conversions. However, notable differences exist as well:
| Gbraid | Wbraid | |
| Where is it used? | App measurement (deep linked campaigns) | Web measurement |
| What campaign types? | Search/Shopping | YouTube/Display/Discovery |
| Example? | Web→ App. Joe clicks on a web ad for shoes, which takes him to a popular shoe app. In the app, Joe purchases a pair of shoes | App → Web. An ad for shoes runs in the YouTube app. Joe clicks on the ad and it takes him to the shoe brand’s website. On the site Joe purchases a pair of shoes |
| Reporting Granularity | No change to reporting granularity | No change to reporting granularity |
Topics: conversion tracking WBRAIDS GBRAIDS Google Ads GCLID Apple ATT
5 min read
How to Target Your YouTube Leads Using Search History
