Delivering 40.5% More Conversions for a UK Luxury Menswear Brand With Full-Funnel Meta Ads Management Services

40.5%

Higher Conversions

14.6%

Growth in Revenue

28.2%

Improved RoAS

Service

  • Meta Ads Management

Platform

  • Meta Ads Manager

Client Overview

A Heritage British Menswear Brand Serving Shoppers Worldwide

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

Full-Funnel Meta Ads Management Across Facebook and Instagram

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:

  • Development of a cohesive Meta Ads strategy with campaign architecture organized around distinct funnel stages—prospecting, consideration, and conversion—replacing the existing flat, unstructured approach of ad management.
  • Segmentation and targeting of audiences using lookalike audiences, custom audiences, and interest- or demography-based targeting.
  • Creative production and ad copywriting across feed, Stories, Reels, and dynamic product ad formats, with messaging tailored to each stage of the purchase journey.
  • Implement the Meta Pixel and conversion tracking to analyze data accurately and optimize campaigns for real purchase events.
  • Budget and bid strategy management, with A/B testing embedded into the ongoing workflow to optimize conversion rates.
  • Regular performance reporting covers spend, ROAS, CPA, CTR, and conversion rate— with clear documentation of actions taken and results achieved.

Key Challenges

Correcting Tracking Errors and Campaign Structure Issues That Were Reducing Paid Social Efficiency

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.

Conversion

Conversion Tracking Broken Following a Website Migration

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.

Campaign Architecture

Campaign Architecture Built for Broad Reach, Not Performance

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.

Retargeting Strategy

No Retargeting Strategy for High-Intent Users

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.

Product Description

Frictions In The Checkout Increasing The Abandoned Cart Rate

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.

Keyword Targeting

UK-Only Targeting Capping International Growth Potential

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.

Brand Image

Broad Targeting vs. Brand Positioning

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

Performance-Focused Meta Ads Management with Accurate Tracking, Targeted Reach, and Continuous Optimization

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:

Restoring Meta Pixels and Implementing Conversion API

  • The team conducted a detailed audit of all pixel events, identifying which conversion actions—product views, add-to-carts, checkout initiations, and purchases—had been disrupted by the site migration and correcting the related event code.
  • The Meta Conversions API was then integrated server-side, ensuring that conversion data continued to be captured even when browser-based tracking was blocked by iOS restrictions or ad blockers.
  • The team also validated event deduplication between the pixel and CAPI to maintain clean attribution data across all reporting.

Restructuring and Launching Campaigns

  • With tracking restored, the account was restructured around a three-stage funnel model.
  • Top-of-funnel prospecting campaigns targeted cold audiences using interest-based targeting, broad lookalikes, and Advantage+ signals, optimizing for conversion value.
  • Mid-funnel engagement campaigns focused on users who had interacted with brand content or visited the site, maintaining brand presence during the consideration phase.
  • Bottom-of-funnel retargeting campaigns used dynamic product ads to re-engage product page viewers and cart abandoners at optimized CPAs, applying bid cap and target cost strategies to maintain acquisition efficiency.
  • In parallel, geo-targeted campaigns were launched in regions with proven organic traffic and purchase intent. Creative and messaging were adapted by market, and performance was tracked separately by geography for clearer comparative analysis.

Developing and Segmenting Custom Audiences

  • The team built custom audiences from website visitors, past purchasers, CRM customer lists, video viewers, and engagers on Facebook and Instagram. The team used them to create lookalike audiences at similar thresholds of 1%, 2–3%, and 4–5%.
  • Retargeting groups were segmented by recency (7 days, 14 days, and 30 days) and behavior (cart abandoners, past purchasers, and product viewers) with tailored creatives for each segment.
  • Audience research through Meta Audience Insights and competitor analysis further helped identify the interest categories, behavioral patterns, and demographic clusters highly likely to convert for a luxury fashion brand.

Ad Creative and Copywriting

  • Multiple ad copy variants were produced per campaign, covering headline, primary text, and CTA combinations optimized for each funnel stage.
  • High-quality creatives were developed for feed placements in 1:1 and 4:5 formats, Stories and Reels in 9:16 format, and right-column placements using AI tools in Meta Ads Manager, followed by manual photo editing where needed.
  • All creative and copy were aligned with the corresponding landing page, including category pages, collection pages, and product pages, to reduce the risk of post-click drop-off and enhance the quality ranking score in Meta's ad auction.

Creative Testing and CRO

  • Controlled A/B tests were run across headlines, ad formats, image styles (product-only vs. lifestyle), length of primary text, and CTA buttons.
  • Ad placements across Instagram Feed, Facebook Feed, Reels, Stories, and Audience Network were tested to identify which combinations delivered the lowest CPC, highest CTR, and the best conversion rate by creative format and audience segment.
  • Creative fatigue was monitored at the ad set level through a decline in CTR and an increase in CPM. Underperforming creatives were refreshed before efficiency dropped further.
  • Additionally, the checkout process was simplified, and necessary UI/UX improvements were made to reduce abandoned carts and bounce rates.

Budget Governance and Bid Strategy Management

  • The client provided a fixed monthly budget, and the team took full ownership of how it was distributed across funnel stages, ad sets, and overall campaigns. A weekly review cadence—assessing CPC, CTR, ROAS, CPM, and conversion rate by campaign and ad set—drove dynamic budget reallocation toward top performers.
  • Bid strategies were adjusted based on performance stability and campaign maturity. Learning-phase campaigns were protected from frequent edits, ensuring the Meta algorithm had enough time to optimize, while high-performing campaigns were scaled gradually through incremental budget increases.
  • Budgets were also kept separate between retargeting and prospecting campaigns to reduce audience cannibalization.

Monitoring and Reporting Performance

  • The campaign insights and optimization scores were reviewed regularly, with relevant platform recommendations applied where they supported performance improvement.
  • Conversions API and Pixel health were monitored regularly through Events Manager to identify discrepancies and event misfires before they affected delivery or reporting accuracy.
  • Structured reports were shared on an ongoing basis, covering spend breakdown, top-performing campaigns, A/B test results, key metrics, optimizations made, and planned next actions.

Business Impact

Measurable Growth Across Every KPI

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

40.5%

Increase in Conversions

Improved targeting, accurate tracking, and a working retargeting structure increased the number of qualified buyers reaching the purchase stage.

14.6%

Growth in Revenue

Higher conversion rates and international campaign expansion helped increase revenue by reaching buyers beyond the brand’s existing market base.

28.2%

Improvement in ROAS

Bid management, audience segmentation, and creative testing improved paid media efficiency across the campaign period.

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