How I Helped a UK Appliances Retailer Grow from £3M to £20M Using Google Shopping Campaigns

Industry: Domestic Appliances Retail

Timeline: 2015-2021

Results: 6.7x revenue growth, 17-22x ROAS, COVID-proof business model

The Challenge

In 2015, I started working with a UK-based domestic appliances retailer turning over approximately £3 million per year. Half of their revenue came from trade shows and offline channels, with their online presence significantly underperforming.

They'd been working with a digital marketing agency, but the results were disappointing. The agency had delegated account management to junior, inexperienced staff who lacked the strategic knowledge and technical skills needed to scale Google Ads for an ecommerce business.

Key problems:

• £3M annual revenue, 50% dependent on trade shows
• Underperforming Google Ads campaigns
• Poor account management from previous agency
• Limited online presence in a competitive market
• No structured campaign strategy

The business needed to shift from offline-dependent to online-first, and fast.

The Situation

The domestic appliances market is highly competitive, with customers ranging from early-stage browsers ("I need a washing machine") to ready-to-buy shoppers ("Neff B57CR32N0B best price").

The company's competitive advantage was pricing—they could match or beat competitors when customers knew exactly what they wanted. But their Google Ads account wasn't structured to capitalize on this.

The existing campaigns were a mess:

• No segmentation by intent or product performance
• Poor negative keyword strategy
• Generic bidding with no consideration for funnel stage
• Wasted spend on low-converting traffic

I took over the account and rebuilt their Google Ads strategy from the ground up.

The Strategy

I implemented a two-phase approach that transformed their Google Shopping performance.

Phase 1: Shopping Campaign Priority Funnel (Intent-Based Segmentation)

I restructured their Shopping campaigns using a three-tier priority system to match bidding to customer intent.

Campaign 1: Generic Discovery (HIGH Priority, LOW Bids)

• Purpose: Catch broad, top-of-funnel searches
• Search queries: "washing machine", "tumble dryer", "fridge freezer"
• Negative keywords: All brand names + all model codes
• Bid strategy: Low bids (~20-30% below average) because intent is lower
• Result: Captured discovery traffic cheaply, built awareness

Campaign 2: Brand Consideration (MEDIUM Priority, MEDIUM Bids)

• Purpose: Catch mid-funnel, brand-aware searches
• Search queries: "Samsung washing machine", "Bosch dishwasher", "Neff oven"
• Negative keywords: All model codes
• Bid strategy: Medium bids (around average) for consideration-stage buyers
• Result: Captured brand shoppers comparing options

Campaign 3: High-Intent Model Codes (LOW Priority, HIGH Bids)

• Purpose: Catch bottom-funnel, ready-to-buy searches
• Search queries: "Neff B57CR32N0B", "Samsung WW90T4540AE", exact model numbers
• Negative keywords: None (catch everything excluded by other campaigns)
• Bid strategy: High bids (2-3x average) because these buyers are ready to purchase
• Result: Dominated high-intent searches, maximized conversions

How the priority cascade works:

Google Shopping priorities create a waterfall effect:

1. A search query triggers all campaigns

2. HIGH priority campaign gets first chance—if the query matches and isn't excluded by negatives, it serves

3. If excluded (e.g., contains brand name), it drops to MEDIUM priority

4. If excluded there (e.g., contains model code), it drops to LOW priority

5. LOW priority catches all the high-intent model code searches

This structure ensures every query goes to the right campaign and gets the right bid for its intent level.

Why this works:

• Generic searches (low intent) → caught by HIGH priority, bid LOW
• Brand searches (medium intent) → caught by MEDIUM priority, bid MEDIUM
• Model codes (high intent) → caught by LOW priority, bid HIGH

The company's pricing competitiveness meant we could dominate model code searches where buyers were price-comparing. We bid aggressively on these high-converting searches while keeping costs low on discovery traffic.

Phase 2: Product Performance Segmentation

After establishing the priority funnel, I introduced product-level segmentation:

• Separate campaigns for top-performing products (highest ROAS, best margins)
• Allocated more budget to winners, less to poor performers
• Continuously tested and optimized based on 30/60/90-day performance
• Paused or excluded consistently poor performers to protect overall ROAS

This meant our best products got maximum visibility and budget, while we reduced waste on products that didn't convert well or had poor margins.

The Results

By 2021, the transformation was complete:

Revenue Growth

• Starting point (2015): £3 million annual revenue
• Result (2021): £20 million annual revenue
• Growth: 6.7x increase (566% growth over 6 years)

Google Shopping Ads Performance

• ROAS: 17-22x (depending on seasonality)
• Monthly ad spend: ~£20,000
• Revenue attribution: Majority of £20M came from online channels

Business Model Transformation

• Before: 50% revenue from trade shows, 50% online
• After: Predominantly online revenue, trade shows supplementary

COVID Resilience

The timing couldn't have been better. When COVID hit in 2020-2021:

• Trade shows stopped completely
• Competitors scrambled to build online presence
• This client was already positioned as an online-first business
• Home improvement boom drove demand for appliances
• The Google Ads foundation I'd built meant they thrived while others struggled

The business didn't just survive COVID—it accelerated growth during it.

The Takeaway

What Made This Work

1. Strategic Campaign Architecture

The three-tier priority funnel wasn't just about organization—it was about matching bids to intent. High-intent searches got high bids. Discovery searches got low bids. This maximized profitability across the entire funnel.

2. Understanding the Business Model

The company's strength was competitive pricing on exact models. The strategy played to this strength by aggressively targeting model code searches where price comparison happens.

3. Continuous Optimization

Product performance segmentation meant we constantly refined what got budget and what didn't. This kept ROAS high even as the account scaled from £20k/month to driving £20M in revenue.

4. Long-Term Thinking

Building the foundation from 2015-2019 meant the business was ready when COVID hit. They didn't panic—they scaled.

5. Customer Experience as a Marketing Channel

While I focused on Google Ads optimization, the company invested heavily in customer service and experience. This wasn't just about support—it was strategic marketing.

Exceptional customer service produced strong reviews, which became powerful trust signals that amplified ad performance:

• Reviews boosted conversion rates - Positive reviews on Google and Trustpilot reduced purchase anxiety for new customers
• Reviews improved Quality Score - Higher CTR from review stars in ads = lower CPCs
• Reviews created competitive moats - When customers compared prices (model code searches), reviews became the tiebreaker
• Reviews fueled word-of-mouth - Happy customers referred friends, reducing CAC over time

The lesson: Good customer service isn't just a support channel—it oils the marketing wheels. Every 5-star review makes your ad spend work harder. Every negative experience resolved quickly protects your brand reputation and keeps acquisition costs low.

You can't advertise your way out of a poor customer experience. But when you combine excellent service with strategic Google Ads, the compound effect is powerful.

Key Lessons for Ecommerce Google Ads

1. Segment by intent, not just by product category. Your bid strategy should reflect where the customer is in their journey.

2. Use Shopping priorities strategically. The HIGH/MEDIUM/LOW priority system is powerful when combined with negative keywords to create a funnel.

3. Bid aggressively on high-intent traffic. If someone's searching for an exact model code, they're ready to buy. Don't lose them over 20p.

4. Allocate budget based on performance, not gut feel. Your best products should get your best budgets. Be ruthless about cutting poor performers.

5. Build your online foundation before you need it. This business was COVID-proof because we'd spent five years building a robust Google Ads system.

Want Similar Results?

This case study represents six years of strategic Google Ads management for an ecommerce business. The principles apply to any online retailer:

• Segment campaigns by customer intent
• Match bids to conversion likelihood
• Continuously optimize based on performance data
• Build systems that scale

If your ecommerce business is stuck at £1M-£5M and you want to scale to £10M+, the right Google Ads strategy can get you there.

Let's talk about your business.

Email: stevie@steviemorris.com

Phone: 07410 907 104

Website: steviemorris.com

Last updated: February 2026

Stevie Morris

PPC Consultant Involved in online marketing for the last 25 years first with SEO , Web Development and now for the last 12 years focusing on  PPC & Google Ads