Client Success Story

Meta Ads Management for a UK-Based Luxury Clothing Brand - More Conversions, Higher Revenue, Better ROAS

40.5%

Higher
Conversions

14.6%

Growth in
Revenue

28.2%

Improvement
in ROAS

Platform

  • Meta Ads Manager
THE CLIENT

An Established Luxury Menswear Brand

Our client is a UK-based premium tailoring brand with over three decades of retail heritage, specializing in high-quality tweed, wool, and linen clothing. Renowned for authentic, durable, and luxurious men's clothing, they offer tailored suits, jackets, coats, and trousers, combining traditional heritage with modern cuts. With a focus on craftsmanship and timeless style, the brand sought to replicate its offline prestige within the competitive digital marketplace to reach a global audience of discerning shoppers.

Project Requirements

Structured Meta Ads Management to Improve ROAS, Reach, and Conversions

The client approached us in early 2024 for full-funnel meta ads management, with clear commercial objectives: increase online conversions, improve return on ad spend, and grow revenue — all while maintaining cost efficiency and brand integrity. Earlier, they were running meta ads (on Facebook and Instagram) on their own with a large ad budget; however were unable to effectively generate and track conversions.

The key requirements involved:

  • Meta Ads strategy development and campaign management across Facebook and Instagram, covering prospecting, consideration, and conversion. We need to follow a structured approach rather than the scattered, one-size-fits-all setup they had been running
  • Audience targeting and segmentation using a mix of custom audiences, lookalike audiences, and interest/demographic-based targeting to reach the right people at each stage of the funnel
  • Ad copywriting and creative development for multiple ad formats — including single image, carousel, video, and Dynamic Product Ads, reflecting the brand's premium positioning. 
  • Pixel and conversion tracking implementation for accurate data analysis and campaign optimization toward real purchase events rather than unreliable signals
  • Bidding & budget management and A/B testing to optimize cost per acquisition and conversion rates
  • Constant performance monitoring and optimization around key metrics ROAS, conversion rate, CPA, CTR, reach, and frequency
PROJECT CHALLENGES

Fixing Performance Dips and Tracking Gaps That Were Stalling Paid Social Growth

Before working on the client’s requirements, our Meta ads specialists performed a comprehensive ad account audit — reviewing the existing setup, campaign structure, and audience strategy to establish a clear performance baseline. The audit surfaced several compounding technical and structural gaps that had been quietly undermining the account's performance. Addressing these foundational issues was critical to drive sustainable growth and long-term profitability.

Broken Conversion Tracking Post-Website Migration

The most urgent issue for our team to address was data loss. The client had recently migrated their website to the Hyva theme (a high-performance frontend for Magento/Adobe Commerce). While the migration improved site speed, it completely disrupted the Meta Pixel, causing key conversion events (including purchases and add-to-carts) to stop firing correctly. Without accurate signals, Meta's algorithm couldn't optimize delivery toward actual buyers, and the client had no reliable way to measure campaign performance or attribute revenue. Restoring the Meta pixel for accurate tracking was the prerequisite for everything else.

Broad Campaign Structures with Poor Audience Targeting

Cost-per-click exceeded expected benchmarks for the premium fashion vertical, and there were many underlying root causes for this, such as:

  • An overly broad campaign structure with no audience hierarchy
  • A learning phase reset triggered by post-migration tracking changes, causing Meta's algorithm to lose historical performance data and forcing campaigns to re-enter the calibration period from scratch
  • Poor audience-ad relevance scores stemming from a misalignment between creative messaging and the interests or behaviors of the targeted segments, resulting in Meta's algorithm deprioritizing delivery to high-intent users
  • Frequent campaign edits in response to short-term dips repeatedly pushed campaigns in and out of the Learning Phase, creating algorithmic instability and preventing reliable optimization data from accumulating

High CPCs directly reduced conversion volume at existing budgets, making it harder to exit the learning phase and build campaign momentum.

Weak Funnel Structure with No Retargeting Logic

The account had a poor funnel structure. Prospecting and retargeting were not separated, budgets were distributed arbitrarily, and there were no campaigns specifically designed to recapture high-intent users who had visited product pages or abandoned carts. A large portion of the ad spend was effectively wasted on audiences that had already converted or were completely outside the brand's target profile.

Poor User Experience increases the Abandoned Carts

The new Hyva website theme, while visually upgraded, had not yet been optimized for conversion. Complex multi-step checkout process, poor navigation, and layout shifts introduced friction into the user journey (particularly on mobile devices), causing visitors driven by ads to drop off before completing a purchase, further suppressing ROAS.

Geographic Targeting Limiting Scale Potential

All active campaigns were exclusively geotargeted to the United Kingdom. While the client has a strong UK heritage and retail presence, this geographic restriction severely limited the potential audience pool, leaving higher-intent international audiences completely untapped. To improve RoAS, we needed to launch global awareness campaigns, enabling the brand to expand internationally and support worldwide sales growth.

Premium Brand Positioning vs. Broad Targeting

Running Meta Ads for the client’s premium menswear segment comes with an inherent challenge: the brand's identity demands precise, quality-over-quantity targeting, but broad audiences tend to be more budget-friendly and easier to scale. Every targeting decision had to balance reach with relevance — ensuring ads are shown to better-qualified prospects with higher spending history and who would genuinely engage with the brand.

OUR SOLUTION

Data-Driven Meta Ads Management — Precise Conversion Tracking, Smarter Targeting, and Continuous Optimization for Higher Advertising ROI

We deployed a team of 4 Meta Ads specialists to work on this project and implemented a structured, phased approach — first resolving the technical and tracking foundations before scaling performance and reach.

Our performance-led Meta Ads strategy involved:

1

Meta Pixel Restoration and Conversion API Implementation

  • Conducted a comprehensive Meta Pixel audit, systematically identifying misfiring and missing conversion events (Add to Cart, Initiate Checkout, Purchase, View Products), and corrected the event code implementation.
  • Implemented the Meta Conversions API (CAPI) server-side integration to complement browser-based pixel tracking, ensuring that conversions were captured even when browser data was blocked by iOS restrictions or ad blockers.
  • Validated event deduplication between the Meta Pixel and CAPI to avoid double-counting conversions in reporting, ensuring clean attribution data for budget decisions.
2

Full-Funnel Campaign Restructuring and Launch

With tracking restored, our team redesigned the account structure around a full-funnel framework with clearly defined campaign objectives, audience tiers, and creative formats for each stage of the customer journey:

  • Top of Funnel (Awareness/Prospecting): We launched broad prospecting campaigns to target cold audiences using interest-based and demographic targeting, broad lookalikes, and Advantage+ audience signals.
    Objective: Reach new, relevant users and build brand familiarity.
    Bid strategy: Maximize Conversion Value
  • Mid Funnel (Engagement/Consideration): Launched campaigns to demographic and behavioral targeting to reach high-intent users who had engaged with the brand's Instagram or Facebook content, watched video ads, or visited the website without making a purchase.
    Objective: Keep the brand top of mind and move users toward purchase intent.
    Bid strategy: Maximize Conversions.
  • Bottom of Funnel (Retargeting/Conversion): Ran pixel-based retargeting campaigns targeting website visitors, product page viewers, and cart abandoners using Dynamic Product Ads (DPAs).
    Objective: Drive new and repeat purchases at controlled CPAs.
    Bid Strategy: Bid Cap and Target Cost bidding

Additionally, we launched geo-targeted prospecting campaigns — focusing on regions with demonstrated organic traffic and purchase intent, as shown in the client's analytics data. The team adapted the campaign creatives and messaging to regional context & nuances, and tracked performance separately to enable clean comparative analysis by geography.

3

Custom Audience Development and Segmentation

  • Created custom audiences from website visitors (segmented by page type and recency), CRM customer lists, past purchasers, Instagram and Facebook engagers, and video viewers. We then used these as seed audiences to develop tiered lookalikes at 1%, 2–3%, and 4–5% similarity thresholds.
  • Segmented retargeting audiences by recency (0–7 days, 8–14 days, 15–30 days) and engagement level (cart abandoners, product viewers, past purchasers), serving tailored ad creative and messaging to each micro-segment.
  • Conducted in-depth audience and interest research using Meta Audience Insights and competitor analysis to identify high-affinity interest categories, behavioral signals, and demographic clusters most likely to convert for a premium fashion brand
4

Ad Copywriting and Creative Development

  • Created multiple keyword-optimized ad copy variants per campaign, including headline, primary text, and CTA combinations, tailored to each funnel stage.
  • Developed high-quality ad creatives for different ad formats (Feed (1:1 and 4:5), Stories and Reels (9:16), and right-column placements) using AI-powered tools within Meta Ads Manager and made manual edits/refinements where needed.
  • Ensured all creative and copy aligned closely with the corresponding landing page content — product pages, collection pages, and category pages — to reduce post-click drop-off and improve Quality Ranking scores within Meta's ad auction.
5

Creative Testing and Conversion Rate Optimization

  • Ran controlled A/B tests across key creative variables, including ad format, image style (product-only vs. lifestyle), headlines, CTA button text, and primary text length
  • Tested ad placements (Facebook Feed, Instagram Feed, Stories, Reels, Audience Network) to identify where each creative format and audience segment delivered the strongest CTR, lowest CPC, and highest conversion rate
  • Monitored creative fatigue signals, including frequency rates, declining CTR, and rising CPM, at the ad set level, and proactively refreshed underperforming creatives before fatigue impacted campaign efficiency
  • Simplified checkout process and made required UI/UX improvements to enhance user experience and reduce bounce rate & abandoned carts
6

Budget Reallocation and Bid Management

  • The client provided a fixed monthly advertising budget at the start of each month. Our team took full ownership of how that budget was distributed across campaigns, ad sets, and funnel stages — making allocation decisions based on prior month performance data and real-time campaign metrics
  • Implemented a weekly performance review cadence: analyzing CTR, CPC, CPM, conversion rate, and ROAS by campaign, ad set, and creative — then dynamically reallocating budgets toward top performers
  • Adjusted bid strategies in line with campaign maturity and performance stability: campaigns in the learning phase were protected from frequent edits to allow the Meta algorithm sufficient optimization time, while stable, high-performing campaigns were scaled with incremental budget 
  • Ensured clear budget separation between prospecting and retargeting campaigns to prevent audience overlap and cannibalization
7

Ongoing Performance Monitoring and Reporting

  • Reviewed Meta's Optimization Score and campaign insights regularly, implementing the platform’s recommended best practices where relevant
  • Tracked Pixel and Conversions API health on an ongoing basis through Events Manager to catch any data discrepancies or event misfires early, before they could impact delivery or reporting accuracy
  • Prepared structured performance reports for the client on a regular cadence, covering spend breakdown, top-performing campaigns, key metrics, A/B test results, and a clear summary of optimizations made and actions planned
PROJECT OUTCOMES

Profitable Growth at Scale — More Qualified Buyers, Improved RoAS, Enhanced Conversions, and Higher Revenue

Google Ads Performance table
Meta Ads Performance chart

Outcomes summary:

  • 40.5% Increase in Conversions, reflecting a significant uplift in qualified customers
  • 14.6% Growth in Revenue, reflecting an expansion of the brand's reach among high-spending, loyal customers
  • 28.2% Improvement in ROAS, demonstrating stronger efficiency and return from paid media
  • Peak conversion performance was achieved in December, capitalising on seasonal demand
  • Scalable growth was delivered while maintaining profitability and cost efficiency throughout the campaign

We'd been running Meta Ads ourselves for a while, and honestly, we knew it wasn't working as well as it should — we just didn't know where to start fixing it. Suntec India came in, found the problems fast, and got things moving in a direction we hadn't managed in over a year. December numbers, especially, were well beyond what we expected heading into the season.

- James Whitfield, Marketing Head

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