PPC Agency
Streamlined Multi-Account Management
How SKA Ecommerce- a German Agency used SellerMate.AI to scale PPC success for their clients
How a German Amazon PPC Agency Scaled Brands with Automation-Driven Efficiency
Background
Ska Ecommerce
Ska Ecommerce is a Germany-based agency specialising in helping Amazon sellers optimise and scale profitable pay-per-click (PPC) advertising campaigns. The agency focuses primarily on small and medium-sized businesses, offering hands-on campaign management designed to drive measurable growth across competitive marketplaces.
With a growing client portfolio and an expanding scope of advertising accounts, Ska Ecommerce sought a technology partner capable of streamlining multi-account management, reducing manual workload, and unlocking scalable optimisation across all client campaigns.
The Challenge 🚩
Managing a large and expanding portfolio of PPC campaigns and products had become increasingly time-consuming. The agency’s existing workflow relied on PPC tools that were complex, unintuitive, and difficult to navigate, creating friction in day-to-day account management.
These operational bottlenecks limited the team’s capacity to act quickly on optimisation opportunities. Routine tasks consumed disproportionate time, leaving insufficient bandwidth for strategic planning and campaign scaling. As the number of client accounts grew, the need for a more efficient, centralised solution became urgent.
Problem Deep Dive
A closer examination of the agency’s operational workflow revealed several structural inefficiencies that were compounding over time:
Fragmented Account Visibility: Performance data was siloed across individual account dashboards, making it difficult to monitor trends, compare metrics, or identify cross-account patterns at a glance. Switching between accounts to review performance added significant overhead to every optimisation cycle.
Manual Search Term Management: High-converting search terms were not being systematically harvested into dedicated campaigns. Without an automated mapping process, valuable keyword opportunities were being missed, while irrelevant terms continued to consume budget unchecked.
Repetitive, Time-Intensive Tasks: Bid adjustments, negative keyword additions, and campaign restructuring were performed manually across all accounts. Tasks that should have taken minutes were consuming hours, leaving the team reactive rather than strategic.
Limited Reporting Agility: Generating performance insights required manual data pulls and interpretation. The absence of structured, ready-to-use reporting views made it difficult to act on data quickly or brief clients with confidence.
The Solution 🔧
Ska Ecommerce partnered with SellerMate.AI to address these operational challenges through a structured onboarding and automation-first approach.
Guided Onboarding and Enablement: The SellerMate Customer Success team conducted detailed automation briefings, walking the agency through the functionality and benefits of each rule type. Custom Loom videos were created to address specific queries, and a dedicated WhatsApp support channel ensured rapid resolution of any issues. Within four weeks, the agency was independently configuring automation rules and requesting strategic reviews.
Centralised Multi-Account Overview: SellerMate’s unified Overview section enabled the agency to monitor performance across all client accounts from a single dashboard, with seamless switching between accounts. This eliminated the fragmented visibility that had previously slowed optimisation cycles.
Smart Automation Rules: The agency deployed 56 automation rules across four clients, with the Target Harvesting Mapping Rule being the most heavily utilised for systematic search term harvesting. Automated alerts and rule-based executions replaced hours of manual work with streamlined, minutes-long workflows.
Automation rules deployed across Ska Ecommerce’s four Ads accounts
Ads Overview and Retail Reports: Together, Ska Ecommerce and SellerMate leveraged structured reporting views to simplify performance data interpretation. These tools enabled rapid bulk optimisations, identification of new search term opportunities, and confident implementation of multiple harvest mapping rules.
Strategic Engagement Model: With automation handling routine operations, weekly support calls transitioned to bi-weekly strategic sessions focused on PPC strategy, product updates, and tool optimisation — a shift from operational troubleshooting to growth planning.
Results 📈
The partnership between Ska Ecommerce and SellerMate.AI delivered measurable, transformative outcomes across all client accounts.
Within the first six months of engagement, Ad Sales surged by +53.90%, accompanied by a reduction in ACoS — demonstrating that growth was achieved without sacrificing efficiency.
The implementation of advanced automation rules, particularly in target harvesting, drove significant performance uplift across key engagement metrics:
Automation at Scale: Since integrating four client Ads accounts in August 2025, SellerMate has processed a total of 1,02,597 executions across the portfolio. In 2025 alone, saw a 75% month-over-month increase in automated activity.
By replacing manual, repetitive workflows with intelligent automation and centralized reporting, Ska Ecommerce transformed its operational model — enabling the team to focus on strategic growth while SellerMate.AI handled the execution at scale.
Success Stories That Speak for Themselves
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