Campaign Objective
Maximise return on ad spend (ROAS) through a full-funnel digital campaign strategy, optimising for both scale and conversion performance.
Campaign Goals
- Deliver exceptional ROAS while maintaining scalable traffic
- Generate high volumes of qualified leads and purchases
- Build brand presence through widespread reach and visibility
- Improve conversion rates through audience optimisation
Performance Metrics
703.57% — ROAS
Proving the campaign generated over 7x return on every pound spent
523,000 — Total Clicks
Delivering massive volumes of traffic to product pages and landing destinations
21,800 — Conversions
Signalling not just interest, but sustained purchase or lead activity
31,600,000 — Total Impressions
Ensuring strong brand visibility and market saturation across digital channels
Campaign Highlights
- 703.57% ROAS, proving the campaign generated over 7x return on every pound spent
- 523K clicks, delivering massive volumes of traffic to product pages and landing destinations
- 21.8K conversions, signalling not just interest, but sustained purchase or lead activity
- 31.6 million impressions, ensuring strong brand visibility and market saturation across digital channels
Campaign Approach
Revenue-Focused Targeting
Combined lookalike audiences with high-intent remarketing segments to ensure conversions were driven by users most likely to purchase or convert.
- Lookalike audience development for scalable targeting
- High-intent remarketing segment identification
- Purchase probability audience analysis
- Conversion-focused audience layering strategies
Multi-Channel Execution
Deployed ads across multiple digital environments—search, shopping, and social—to diversify traffic sources and capture users across the funnel.
- Cross-platform campaign deployment
- Search, shopping, and social channel integration
- Traffic source diversification strategies
- Full-funnel user capture approach
Creative Testing
Used dynamic creative variants to test product combinations, messaging angles, and CTAs, allowing the algorithm to optimise for conversion-led performance.
- Dynamic creative variant development
- Product combination testing strategies
- Messaging angle optimisation
- CTA performance testing and refinement
Conversion Optimisation
Bidding strategies were focused on return-driven goals (target ROAS and CPA), using machine learning signals to maximise results over time.
- Target ROAS bidding implementation
- Cost per acquisition optimisation
- Machine learning signal utilisation
- Performance maximisation over time
Key Learnings
Automated Targeting Excellence
Combining automated bidding with precision targeting yields outstanding ROI
Achieved 703.57% ROAS through strategic automation and precise audience selection
Platform Layering Benefits
High-converting audiences are best engaged through strategic platform layering
Generated 523K clicks and 21.8K conversions through multi-channel approach
Creative Relevance Impact
Creative variation and message relevance significantly lift conversion rates
Delivered exceptional conversion performance across 31.6M impressions