Google Ads Case Study: Photo Products & eCommerce

How a US-based Photo Products Brand Turned $55K in Ad Spend into $536K in Revenue

Between January 2025 and January 2026, we worked with a US-based photo products retailer selling photo frames, photo books, and personalised gifts. Their Google Ads account was spending consistently but had no clear picture of what was actually driving revenue. ROAS shifted week to week, attribution was unreliable, and budget increases were not producing proportional growth. Through value-based bidding, Shopping feed optimisation, and campaign restructuring, we stabilised returns at 9-10x ROAS across a 13-month period.

Photo Products & eCommerce  |  Google Ads  |  Search · Shopping · Performance Max  |  Jan 2025 – Jan 2026

Project Overview

A 13-month engagement with a US-based photo products retailer selling photo frames, photo books, personalised prints, and gift products. The account was running across Search, Shopping, and Performance Max with consistent spend, but ROAS shifted week to week and revenue attribution was unreliable, making it difficult to identify what was actually working and what was not.

The primary goal was to fix the data, find where the profit was genuinely coming from, and build a campaign structure capable of scaling it without the numbers falling apart.

Challenges

1
The account showed fluctuating return on ad spend, making performance difficult to predict or scale confidently.
2
High ad spend was generating conversions, but revenue attribution lacked clarity, reducing optimization accuracy.
3
Significant portions of spend were directed toward segments delivering low profitability.
4
Product campaigns lacked strong feed optimization and segmentation, limiting performance potential.
5
Search campaigns were generating traffic and conversions but not delivering efficient ROAS.

Solutions

1
Shifted campaigns to conversion-value optimization, achieving 9–10x ROAS at the account level.
2
Optimized campaigns around conversion value, generating $536K+ in revenue from $55K ad spend.
3
Redirected budgets toward the most efficient Search, Shopping, and Performance Max campaigns.
4
Improved product segmentation and feed signals, delivering 7x–10x ROAS from Shopping campaigns.
5
Refined keyword targeting and bidding strategies, achieving 17x+ ROAS on top-performing Search campaigns.

ROAS

0 x

Revenue

0 k+

Conversions

0 K+

Managed Ad Spend

0 K+

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