A real conversation with the Tier 11 team about what happens when the scoreboard is wrong — and what it costs you every single month.
Imagine running ads for five months straight. Spend is climbing. Platform dashboards are showing activity. And yet — every single month — you're missing your targets.
That's not a hypothetical. That's exactly what happened to a fast-growing DTC pet brand that came to performance agency Tier 11 with a problem they couldn't quite name. I recently sat down with the Tier 11 team to walk through what they found — and the results are the kind of thing that makes marketers rethink everything.
🎧 PODCAST LAUNCH - THURSDAY 16 APRIL 2026
Here's the uncomfortable truth about most ad accounts running at scale: the metrics that look the best are often the ones doing the least work.
Amazon Brand campaigns? Great ROAS. Google Brand? Killing it. Bottom-of-funnel retargeting? Efficient as anything.
The problem is that "efficient" and "effective" are not the same thing. These channels weren't creating new customers — they were harvesting customers that top-of-funnel campaigns had already created. And then taking all the credit.
This is what's known as the retargeting trap. You're not scaling. You're just paying to re-acquire the same people over and over, while the scoreboard tells you everything is fine.
For this pet brand, the new customer acquisition cost (nCAC) had ballooned to $193. Five consecutive missed forecasts. And not a single platform dashboard flagging the problem — because from the platform's perspective, the conversions were happening. Job done.
Tier 11 didn't come in and launch a shiny new creative campaign. The first thing they did was fix the measurement layer — because you can't make good decisions on bad data, no matter how talented your media buyers are.
Using Wicked Reports, the team could finally see what the platforms couldn't show them: which channels were actually creating new customers, and which ones were just borrowing credit.
Amazon was taking credit for ~500 new customers a month it had nothing to do with. The team ran a controlled incrementality test — cutting Amazon spend by 50%, then 50% again, then 50% again, then 50% again. Four consecutive cuts. A 91% total reduction — from $52,500/month down to $4,700/month. New customer numbers? Held steady. Amazon revenue actually increased 33%.
Google Brand was charging a premium for organic traffic. A 95% cut in Google Brand spend. Clicks dropped only 17%. The brand had been paying top dollar to appear for searches that would have found them anyway.
The budget freed from these channels flowed into actual demand creation — Meta, YouTube, and a new Taboola native campaign that launched November 1st and immediately drove 80–87% new visitor rates across every advertorial. The highest new-visitor percentage of any channel in the mix.
From November through February — four months that are historically the slowest of the year for this brand — here's what the data showed:
And here's the part that often surprises people: the channels that received zero additional spend also grew.
That's the halo effect of real demand creation. When you actually bring new people into your world — people who've never heard of your brand — the whole funnel lifts. Organic search improves. Email lists grow. Amazon conversions happen because people are actually looking for you.
One of the biggest mindset shifts the Tier 11 team made was replacing in-platform ROAS as the primary KPI. Platform ROAS is structurally incapable of crediting channels that create customers weeks before those customers convert. It's not a flaw you can fix with better settings — it's baked into how platforms are incentivized to report.
Instead, the north star became two metrics:
How much are you spending to bring in someone who has never bought from you before? Not a retargeted warm lead. Not a lapsed customer. A genuinely new person.
A blended metric that combines new customer revenue with media spend — giving you a single, defensible number that tells you whether your marketing is actually growing the business.
These numbers come from Wicked Reports' first-party attribution — real order IDs, real customer IDs, real click paths. Not modeled conversions. Not view-through credits inflated by platform algorithms. Numbers you can actually defend in a board meeting.
Here's a quick gut-check. If you've been running ads for 12+ months and you're seeing any of these signs, you might be:
If two or more of those resonate, the issue almost certainly isn't your creative. It isn't your offer. It's that you're being graded on the wrong scoreboard — and every month you stay on it, you're making decisions that compound the problem.
The solution isn't complicated, but it does require discipline:
We built this platform around exactly this problem — because it's the one that quietly kills otherwise healthy businesses. Not with a bang, but with five consecutive months of missed forecasts while the dashboards say everything is fine.
Want to see what your attribution is actually telling you? Book a live demo at wickedreports.com →
nCAC (New Customer Acquisition Cost) measures how much you spend to acquire a customer who has genuinely never purchased from you before — not a retargeted lead or lapsed buyer. Unlike platform ROAS, which is structurally incentivized to claim credit across all conversions, nCAC tells you whether your marketing is actually growing your customer base. If nCAC is rising while ROAS looks healthy, you have a measurement problem, not a channel problem.
The retargeting trap occurs when bottom-of-funnel campaigns — such as Amazon Brand, Google Brand, and retargeting — report high ROAS while actually just harvesting customers that top-of-funnel campaigns already created. Brands unknowingly shift budget toward these credit-claiming channels and away from the demand-creation channels doing the real work, causing new customer growth to stall while dashboards continue to show positive results.
An incrementality test involves deliberately reducing spend on a suspected credit-claiming channel — typically in stages of 30–50% — while monitoring new customer volume and revenue from other channels. If new customer numbers hold steady after cuts, the channel was not driving incremental demand. In the Tier 11 case study, Amazon ad spend was cut 91% across four consecutive tests, with new customer numbers holding steady and Amazon revenue actually increasing 33%.
nMER is a blended metric that combines new customer revenue with total media spend to produce a single efficiency number — similar to ROAS, but filtered exclusively for customers who drive long-term business growth. Unlike platform ROAS, nMER is calculated using first-party data (real order IDs, real customer IDs, real click paths) and cannot be inflated by platform-level credit claiming. It is the metric Tier 11 used to report marketing performance directly to brand leadership.
Wicked Reports is a first-party attribution platform built for DTC brands and the agencies that grow them. Real order IDs. Real customer IDs. Real decisions.