DTC & E-commerce

Multi-channel ROAS at scale — without the guesswork.

Google, Meta, TikTok, and PMax all report inflated numbers by design. We rebuild attribution against actual purchase data, unify bidding across channels, and cut through PMax opacity to find the campaigns that are quietly cannibalizing your brand traffic.

The pattern we see

The four things breaking your account right now.

01

Platform-reported ROAS is lying to you

Every ad platform claims credit for the same conversion. Add up their reports and you'll see 4× more revenue than you actually made. Real ROAS requires deduplicated, first-party attribution.

02

PMax is eating your brand traffic

PMax bundles brand + non-brand + shopping into one campaign, then reports the whole blended ROAS. Most of the 'performance' is just people already searching for you.

03

Creative fatigue nobody catches

Your best-performing ad six months ago is now dragging down CTR account-wide. There's no alert for this — you have to actively watch CTR decay across creative cohorts.

04

iOS 14+ signal loss to Meta

Apple's ATT killed 30-50% of Meta's optimization signal. If you're still relying on the pixel alone, Meta's bidding is flying blind and optimizing on incomplete data.

Our playbook

How we fix it.

Step 01

Attribution rebuild

Deduplicated conversion tracking against your actual order database — not platform-reported numbers.

  • Server-side conversion API for Meta
  • Enhanced Conversions for Google
  • First-party purchase data as the source of truth
  • Blended ROAS reporting across channels
Step 02

PMax dissection

Split brand from non-brand. Isolate shopping from display. See what PMax is actually contributing vs. what it's claiming.

  • Brand exclusions applied at campaign level
  • Asset group performance analysis
  • Search terms extraction (as much as Google allows)
  • Cannibalization detection vs. Search + Shopping
Step 03

Creative fatigue system

Automated cohort tracking on every creative so you know when to refresh — before CTR craters and CPM spikes.

  • CTR decay tracking per creative cohort
  • Frequency + CPM correlation alerts
  • Rotation cadence tuned to your fatigue curve
  • Winners archived, not deleted (for retargeting)

Real result

From 2.1× to 5.4× blended ROAS in 90 days.

7-figure DTC apparel brand

5.4×
Blended ROAS (up from 2.1×)
−34%
CAC reduction
90d
To full compounding

Problem

Multi-agency attribution mess. Google, Meta, and TikTok all claimed credit for the same buyers. Actual blended ROAS was 2.1× while platforms reported 4.8× combined.

Fix

Rebuilt attribution against Shopify order data. Unified bidding across Google + Meta + TikTok under a single ML model. Split PMax brand from non-brand and cut wasted brand overlap.

Result

5.4× true blended ROAS in 90 days. 34% CAC reduction. Same ad spend, 2.6× more revenue.

Two agencies before them told us we were doing great. SearchTuners pulled the raw order data on day one and showed us the ROAS was half what the dashboards said. That's when I knew.

Head of Growth, 7-figure DTC apparel

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