Success Story
December 9, 2025
Online Klik transformed Soccerfanshop’s inventory challenges into measurable growth using Channable’s automated feed segmentation. By dynamically grouping products based on stock levels and sales velocity, we increased extra stock revenue by 115.7%, boosted transactions by 195%, and cut ad costs on high-demand items by 45.5%. This data-driven approach ensured smarter bidding, optimized ROAS, and sustainable profitability.
Reading Time - 4 min
Online Klik demonstrates how strategic automation and real-time feed optimization can completely reshape inventory performance. Our core goal was simple: use Channable’s dynamic segmentation capabilities to help Soccerfanshop efficiently sell extra stock, protect margins, and scale sustainably.
As a fast-growing Dutch fashion retailer, Soccerfanshop struggled with extra stock in a trend-heavy market. Using Channable, Online Klik built a data-driven system that automated product segmentation, improved ROAS, and dramatically enhanced profitability.
Online Klik used Channable to increase extra stock revenue by 115%
195% more transactions by dynamically prioritizing slow-moving items
45% reduction in Google Ads costs for high-demand items
ROAS jump from 445% to 1092% on low-stock, high-velocity products
Soccerfanshop needed a scalable solution to manage fast-changing fashion inventory without resorting to heavy discounting. Online Klik implemented a Performance segmentation approach that connected real-time data to automated bidding and segmentation.
Sell slow-moving inventory profitably
Increase revenue with ad spend growth capped at <0.63%
Prevent overbidding on high-demand items
Eliminate unnecessary discounts
Fashion-conscious men aged 16–35
Highly active on Google Shopping, search, and paid social channels
The fashion industry is chaotic, inventory shifts fast, demand is unpredictable, and margins are tight. Soccerfanshop needed a dynamic system optimized for speed, accuracy, and automation. This is where Online Klik utilized Channable's automation for this strategy.
Online Klik designed a dynamic bucketing model in Channable to automatically classify products based on:
Real-time stock levels
Sales velocity
Turnover rate
Using live Google Sheets integrations, values were fed into Channable, which then:
Adjusted ROAS targets
Excluded or prioritized products
Updated campaigns without manual intervention
This system ensured every product was shown at the right bid, at the right time, maximizing revenue and reducing waste.
Extra stock items (stock > 80, sales ≤ 6 per week) were grouped into a segment with lower ROAS targets but higher visibility.
Performance:
Revenue: +116%
Transactions: +195%
Ad Spend: +376%
ROAS: Decreased as expected due to scaling, 520% → 257%
Why it worked:
Online Klik’s setup ensured only the right slow-moving items entered Shopping Ads, no wasted spend, no unnecessary markdowns.
Products selling faster than stock levels were moved into a different Channable bucket with high ROAS targets and minimal ad pressure.
Results:
Ad costs: – 46%
ROAS: 445% → 1092%
Paid revenue: – 8.1% (intentional due to reduced ads)
Profit: Increased due to smarter distribution
Why it worked:
Channable’s rule-based exclusions helped Online Klik remove low-stock items from costly campaigns, protecting margins while maintaining organic sales.
Before: extra stock sat unsold or required deep markdowns.
Solution by Online Klik:
Channable rules fed by live turnover data
Automated segmentation created the right push level
Extra stock sold profitably with improved ROAS
Before: Bestsellers wasted budget by competing with slow movers.
Solution by Online Klik:
High-performing items placed in high-ROAS Channable buckets
Automatically restricted from expensive Shopping placements
Budget redirected to products needing visibility
Online Klik used Channable’s automation, smart rules, and real-time data integration to transform Soccerfanshop’s inventory challenges into a scalable, profitable model. This collaboration proves that with the right strategy and tooling, inventory volatility can become a competitive advantage.
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