40.5%
Higher Conversions
14.6%
Growth in Revenue
28.2%
Improved RoAS
Service
Platform
Client Overview
With more than 30 years of operation, the client had established itself as a respected name in premium British menswear—producing handcrafted suits, tweed jackets, wool overcoats, and linen trousers for a customer base that prioritized quality over trend-driven purchasing. The brand has an active e-commerce presence alongside its physical retail footprint, processing a significant volume of online orders year-round, with seasonal peaks driven by gifting and occasion-wear demand.
Project Scope
The client engaged SAMM Data in early 2023 for end-to-end Meta Ads management, having operated its Facebook and Instagram campaigns independently for an extended period with mixed results. The brief was clear: increase online conversions, improve ROAS, and grow revenue—without inflating costs or compromising the brand's premium positioning.
The scope of work included:
Key Challenges
Before developing any new campaigns, SAMM Data's team conducted a full audit of the client's Meta Ads account—reviewing campaign structure, audience segmentation, creative strategy, tracking setup, and landing page performance.
The audit showcased several issues, each undermining a different layer of campaign performance. Addressing them individually was impossible; together, they had created a cycle that prevented the account from producing significant, quantifiable results.
The client had recently migrated their e-commerce site to a high-performing frontend eCommerce framework. The new website theme made the site faster, but it also broke Meta Pixel tracking, which meant purchases and add-to-carts were no longer being captured correctly.
As purchase tracking was missing or inaccurate, Meta could not optimize campaigns for real buyers, and the client could not tell which campaigns or ad sets were generating revenue.
The existing campaign structure lacked any meaningful audience hierarchy. Cold and warm audiences shared the same campaigns. Budgets were set without reference to funnel position or historical performance. There was no separation between awareness and conversion objectives.
Due to post-migration tracking changes and repeated campaign edits, the account went through the learning phase multiple times, with each reset erasing optimization data and creating algorithm instability. Exiting the learning phase has become difficult as high CPCs reduced the conversion volume with the present budget.
The account had no campaigns specifically designed to recapture users who had visited product pages, initiated checkout, or abandoned carts. A significant share of ad spend was directed at cold audiences with no structure for re-engagement — meaning the brand was repeatedly paying to reach new users while losing warm, high-intent traffic without follow-up.
The upgraded website theme, while visually improved, had introduced friction into the purchase journey—particularly on mobile devices. A multi-step checkout process, layout inconsistencies, and navigation gaps caused ad-driven visitors to drop off before completing a transaction. Paid media spend was generating clicks; however, the site's user experience was failing to convert them to customers, negatively affecting ROAS.
Every active campaign was restricted to the United Kingdom. While the brand's heritage was rooted in UK retail, analytics data indicated meaningful interest and purchase intent from international audiences who remained entirely unreached. This geographic restriction limited the audience pool and restricted any path to improve RoAS.
The brand's positioning demanded quality-over-quantity audience selection—prioritizing users with higher purchasing power and genuine affinity for heritage fashion. Broad targeting offered lower CPMs and was easier to scale, but it diluted brand signals and reduced the likelihood of reaching high-converting prospects. A consistent challenge was balancing precise audience targeting for a premium brand with the broader targeting needed to scale campaigns efficiently.
Solution Delivered
SAMM Data deployed a team of four Meta Ads specialists to the project, implementing a phased strategy that prioritized technical foundations before performance scaling. No campaigns were restructured until accurate conversion data were visible—ensuring that every subsequent optimization decision was based on reliable data.
Our work included:
Business Impact
Month-By-Month Overview
| Months | Conversion | Revenue (£) | ROAS |
|---|---|---|---|
| September | 507 | 183,529.76 | 5.01 |
| October | 565 | 205,221.23 | 5.21 |
| November | 766 | 236,673.55 | 6.12 |
| December | 1,156 | 347,281.01 | 5.31 |
| January (till Jan 28th) | 713 | 210,397.70 | 6.42 |
| Change (From Sept to Jan) | +40.5% | +14.6% | +28.2% |
Key Highlights
Improved targeting, accurate tracking, and a working retargeting structure increased the number of qualified buyers reaching the purchase stage.
Higher conversion rates and international campaign expansion helped increase revenue by reaching buyers beyond the brand’s existing market base.
Bid management, audience segmentation, and creative testing improved paid media efficiency across the campaign period.
Get In Touch
With dedicated industry specialists, structured optimization workflows, and hands-on experience across paid channels, we help businesses improve campaign management, conversion visibility, and return on ad spend. Write to us at info@sammdataservices.com to request a quote for our eCommerce PPC services.