E-commerce case study · 7-figure luxury home brand

Growing past Google Search's ceiling by adding YouTube and Meta

Google was well managed and already capturing the demand that existed. Growth meant creating more of it, so Seller AURA built the next pool of buyers across three channels.

3.1xROAS at entry, Google Search only
7.0xPeak blended ROAS, 18 months
+126%Peak improvement
3Channels: Google, YouTube, Meta
Overview

The brand

This luxury home brand sells products priced between $2K and $10K. Its Google account was well run, but it was capturing demand rather than creating it.

At this price point, buyers need to be created and nurtured, not just captured.

Google AdsYouTubeMeta AdsCustomer Match
7.0x Peak blended ROAS for a 7-figure luxury home brand after adding YouTube and Meta to Google, up from 3.1x
The challenge

What was holding growth back

01

Demand captured, not created

Google was converting most of the available search demand at 3.1x ROAS.

02

No demand engine

With no YouTube or Meta, nothing was building the next pool of buyers.

03

No first-party data in Google

No customer data had been uploaded to sharpen targeting.

04

High-consideration price point

At $2K–$10K, buyers need nurturing before they purchase.

What we did

How Seller AURA approached it

Fixed Google first

Seeded Performance Max with purchaser data so Google optimised on real buyers.

Added YouTube to create demand

Launched YouTube to build awareness and the next pool of buyers.

Added Meta to develop it

Used Meta to develop and convert the demand YouTube created.

Connected first-party data

First-party data flows between all three channels so each sharpens the others.

The results

What changed

  • ROAS moved from 3.1x at entry (Google Search only) to a peak of 7.0x blended across Google, YouTube and Meta over an 18-month build.
  • Creating demand across channels lifted the ceiling that Search alone had reached.

7.0x is the peak blended ROAS over the 18-month build period. The 18-month average was lower and results varied by month.

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