We nearly doubled a home-goods store's return on ad spend
How we run Dwellory's Google Ads as a large-scale value engine — return on ad spend nearly doubling to more than 25×, cost per order down 41% and revenue up 42% — on a flat fee.
The partner
Dwellory is a large U.S. home-goods store. At this scale it's pure value economics — big spend, big revenue — and the whole job is bidding to profit so return on ad spend climbs and the cost of each order falls as the account grows.
Goals
- Bid to profit at large scale.
- Lift return on ad spend as spend grows.
- Bring the cost per order down.
- Grow revenue without eroding the return.
- Hold it on a flat fee as the store scales.
Strategy
We run the account as a value engine: conversion value tracked end-to-end, Performance Max and Shopping bidding to revenue, and relentless weekly optimization — so return on ad spend climbed and cost per order fell even as revenue grew.
- 01
Bid to revenue
Conversion value was tracked so the account optimized to profit, not raw orders.
- 02
Value-based PMax + Shopping
Spend was concentrated where the return was highest across the catalog.
- 03
Brought cost per order down
Feed and bid management cut the cost per order sharply.
- 04
Protected the return as it scaled
Bids were managed so growing spend lifted, rather than eroded, return on ad spend.
- 05
Optimized weekly
Feed, budgets and product mix on a weekly loop.
Results
Return on ad spend nearly doubled to more than twenty-five times at its peak, the cost per order fell 41%, and revenue grew 42% — the account scaled profit, not just spend.
The team
A senior-run Google Ads pod: strategy & account lead and a PPC specialist on daily optimization — the same people, on a flat monthly fee.
Metrics shown as relative growth. Absolute account figures are kept confidential.
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PMax + Shopping · read case →Book your free audit.
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