Multi-Channel PPC Management for a Custom Merchandising Products Brand

332.15%

increase in conversions on Google Ads

£208,785

revenue generated from Meta Ads

9.71%

reduction in ACoS on Amazon Ads

Service

  • eCommerce SEO
  • Google Ads Management
  • Meta Ads Management
  • TikTok Ads Management

Platform

  • Google Merchant Center
  • Meta Ads Manager
  • TikTok Ads Manager
  • Amazon Seller Central

CLIENT OVERVIEW

Custom Print and Merchandise Products Supplier

The client is a UK-based provider of custom printing and merchandising products. Their catalog includes 3D UV stickers, Direct-to-Film (DTF) transfers, and other bespoke print products used by promotional merchandise sellers, clothing brands, and businesses for custom merchandise creation. The company sells primarily through its Amazon store and eCommerce website.

Project Requirements

Improve Sales Performance With eCommerce SEO & Paid Ads Management Across Meta, Google, Amazon, and TikTok

Our engagement began with eCommerce SEO to improve organic visibility and search rankings for the client's website. After seeing the positive results, the project scope expanded to multi-channel PPC management, including:

Meta Ads Management

  • Creating and managing Meta ads across awareness, engagement, and conversion campaigns with ongoing tracking for conversion rate optimization.
  • Expanding audience reach and relevance through lookalike audiences, custom audiences, and demographic or behavioral targeting strategies.
  • Executing retargeting campaigns for abandoned cart recovery and repeat purchases.
  • Improving ad efficiency and return on ad spend through multiple bid strategies.

Google Ads Management

  • Creating and managing Google Ad and shopping campaigns for brand visibility, remarketing, and increased conversions.
  • Auditing the Google Ads account to restructure underperforming Google Ads campaigns.
  • Continuous landing page optimization and bid management to improve campaign efficiency.

Amazon PPC Management

  • Creating and managing Sponsored Brands, Sponsored Display, and Sponsored Products campaigns.
  • Developing keyword and bidding strategies as per search behavior for customer printing products on Amazon.
  • Optimizing product page listings to align with ad campaign goals and improve conversion rate.
  • Tracking, monitoring, and optimizing ad spend to efficiently allocate budget.

TikTok Ads Management

  • Planning, executing, and managing TikTok campaigns built around video creatives.
  • Setting up campaign tracking to measure and improve ad performance across the funnel.
  • Refining audiences and testing campaign variations to improve click-through rates and cost per acquisition.

Project Challenges

Addressing High Acquisition Costs, Low-Intent Traffic, and Conversion Gaps Across Paid Channels

The client was dealing with low revenue returns and shrinking margins despite increasing ad spend. High acquisition costs, low-intent traffic, and suboptimal conversion efficiency were limiting returns across different channels.

An audit further showed that the paid media setup across Google Ads, Amazon, Meta, and TikTok lacked structure. Our team identified and resolved the following core challenges:

AI outputs missed product-critical

Misaligned Audience and Keyword Selection

Across Amazon, Google, TikTok, and Meta, the campaigns were reaching irrelevant users, as keyword targeting and audience segmentation were not well defined. Search terms were not properly segmented by match type, leading to ads appearing for unrelated queries while missing higher-intent searches.

With no structured approach to audience segmentation—spanning CRM-based custom audiences, lookalike targeting, and retargeting—the campaigns continued to serve cold, unqualified traffic with conversion-focused messaging that was misaligned with their stage in the purchase funnel.

Expertise

Underperforming Paid Ad Strategy Across Channels

Campaigns lacked clear separation by objective (e.g., awareness, conversion) and were not optimized for their intended outcomes. Budgets were allocated without regard to campaign role or performance potential.

Simultaneously, the account was attracting broad, low-intent traffic instead of users actively searching to buy, leading to wasted spend and consistently low conversion output.

Remotely

Unoptimized Landing Pages & Google Merchant Center Issues

Ads generated clicks; however, conversions were being lost because landing pages were not aligned with ad copy, keyword intent, or user expectations. This affected both Quality Score and conversion efficiency.

Incomplete Google Merchant Center optimization caused issues with the product feed, affecting the visibility of shopping campaigns. Product matching was also affected due to unstructured product attributes and types.

Image Processing

No Dynamic Bid Management Framework

Bid adjustments were not being made systematically by location, device, audience performance, or time of day, and there was no framework in place for proactive management of bids.

In a competitive DTF transfer market with fluctuating bids on high-intent terms, the account was left exposed to rising CPCs and lost bid opportunities. As a result, spending was often too high on low-value clicks and too low on high-converting traffic.

Our Solution

SEO and Multi-Channel Paid Advertising Strategy Focused on Improving Targeting, Bidding, and Conversions

Rather than managing SEO and paid channels in isolation, SAMM Data implemented an integrated strategy that treated both disciplines as mutually reinforcing. The engagement was handled by a four-member team comprising one SEO specialist and three PPC specialists, who addressed the challenges through the following measures:

Website SEO

  • Conducted a full SEO audit covering technical issues, on-page gaps, content structure, and keyword opportunities.
  • Resolved crawlability issues and optimized page titles and meta tags to capture high-intent commercial searches in the custom printing segment in the UK.
  • Optimized internal linking structure to channel authority toward priority category and product pages.
  • Identified relevant keywords around custom stickers, DTF transfers, heat press prints, and related commercially relevant and high-potential terms.

Amazon PPC Management

  • Built campaign structures based on exact, phrase, or broad match keyword types to allow more precise bid management and prevent budget cannibalization.
  • Reviewed search term reports weekly to identify high-performing search queries and continuously identified negative keywords to avoid unrelated traffic.
  • Adjusted keyword bids using conversion and ACoS data instead of impression volume, while pausing underperforming terms to maintain overall campaign efficiency.
  • Launched product targeting campaigns across complementary and competitor product listings to capture high-intent shoppers browsing relevant categories.
  • Applied placement bid and dayparting modifiers based on performance data to secure high-converting placements without increasing spend across lower-performing ones.
  • Defined SKU-level ACoS targets based on product margin to manage profitability thresholds at the individual product level instead of a catalog-wide average.

Google Ads Management

  • Assigned Maximize Clicks, Maximize Conversion Value, Maximize Conversions, Target CPA (tCPA), and Target ROAS (tROAS) according to campaign objectives and efficiency targets.
  • Structured Performance Max campaigns around audience signals, including brand, in-market, and interest-based signals to expand qualified reach.
  • Segmented Search campaigns by keyword match type, product type, and search intent, including exact and phrase match targeting for purchase-intent queries and broad match targeting for widening reach while maintaining query relevance.
  • Applied affinity, custom intent, demographic, device, and location-based targeting, along with Remarketing Lists for Search Ads (RLSA) and in-market audience bid adjustments to improve targeting precision.
  • Created and tested multiple Responsive Search Ads (RSAs) to improve ad relevance, message coverage, and Quality Score across high-value queries.
  • Optimized Google Merchant Center by correcting product feed issues, refining product type structure, and improving Shopping campaign eligibility & query matching.
  • Conducted ongoing optimization at the campaign, ad group, and keyword levels using Quality Score, impression share, CTR, conversion rate, and ROAS to guide bid and budget decisions.

TikTok Ads Management

  • Set up the TikTok Pixel and conversion events to track campaign performance and optimize across user journeys.
  • Built an awareness-stage campaign around video views / reach maximization using broad and interest-based targeting focused on print, craft, small business, and creator audiences.
  • Structured consideration campaigns around traffic and click optimization, using custom engagement audiences and device & location targeting, with a focus on mobile users in the UK.
  • Managed sales campaigns around the Complete Payment conversion event, combining high-intent custom audiences with pixel-based retargeting for cart abandoners and previous visitors.
  • Applied value optimization and lookalike audience (1%–3%) targeting based on existing purchasers to support efficient budget scaling.
  • Monitored hook retention rates and viewer drop-off points to refine opening sequences, improve video completion rates, and increase viewer retention.
  • Tracked creative fatigue at the ad set level, used Spark Ads to amplify high-engagement organic posts, and maintained daily CPA monitoring during budget scaling.

Meta Ads Management

  • Built a full-funnel Meta Ads framework across Facebook and Instagram to support awareness, engagement, and sales conversion objectives.
  • Established Meta Pixel and conversion events to track page views, add-to-carts, and purchases with greater accuracy across the conversion path.
  • Created custom audiences using website visitor data, CRM lists, and engagement signals to improve audience targeting across prospecting and retargeting campaigns.
  • Expanded acquisition reach by developing lookalike audiences from existing purchaser profiles to attract higher-potential new users.
  • Applied demographic and behavioral targeting, including age, gender, and interest-based segmentation, to improve audience fit by campaign objective.
  • Used location and radius targeting to concentrate spend on relevant UK-based geographic segments across business and consumer audiences.
  • Matched bidding models to campaign intent, with Maximize Conversion Value for awareness, Maximize Conversions for engagement, and Bid Cap and Target Cost for sales-focused campaigns.
  • Deployed website visitor retargeting to re-engage cart abandoners and previous site visitors, while continuing creative and audience testing to identify higher-performing ad sets.

Project Outcomes

Google Ads Performance

332.15% ↑

Increase in total conversions within three months.

79.43% ↑

Growth in monthly revenue post-campaign restructuring.

40.60% ↑

Improvement in average ROAS driven by campaign and bid optimization.

Meta Ads Performance

£208,785

Total revenue generated across the full engagement period.

57.5% ↑

Revenue increased during the first three months of campaign refinement.

£25,800+

Revenue maintained every month consistently through strategic retargeting.

TikTok Ads Performance

43.87% ↑

ROAS improvement, surpassing stated performance benchmarks.

57.07% ↑

Surge in total sales volume over a three-month period.

61.65% ↑

Revenue growth supported by creative testing and conversion tracking.

Amazon Ads Performance

9.71% ↓

Reduction in ACoS through reduced exposure to irrelevant queries.

25.89% ↑

Increase in average sales per order item.

20.26% ↑

Growth in overall product sales compared to the previous period.

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