Happy Horizon’s margin-first feed engine

Adding premium brands to an eCommerce catalog should drive immediate growth, but when retail prices are higher than those of some competitors, standard campaign structures can cause lower clicks when other factors are not added in.

Relying on traditional brand-level campaign segmentation burns ad spend on low-margin or outpriced inventory. By implementing an advanced, multi-variable product bucketing strategy, Happy Horizon and Huidpraktijkshop transform their product feed management into a profit engine that protects margins while scaling sales performance.

Key takeaways

• Huidpraktijkshop and Happy Horizon abandoned legacy brand-based Performance Max campaigns in favor of dynamic multi-variable margin bucketing.

• Connected backend net margins, GA4 transactions, price benchmarks, dynamic pricing, and stock levels in Channable to automatically grade products.

• Achieved a +90% Conversion Rate, +23% CTR, +19% ROAS, and +11% POAS compared to legacy brand campaigns.

How huidpraktijkshop solved catalog expansion

Huidpraktijkshop is an eCommerce specialist offering premium skincare and beauty solutions across more than 30 brands. Their competitive edge stems from high-quality products and personalized customer guidance.

However, adding top-tier brands to their store created a strategic hurdle: wider product lines failed to automatically bring in new revenue streams.

Because Huidpraktijkshop focuses strictly on high-end brands, their retail prices are naturally higher than discounted competitors. Traditional ad management strategies, such as grouping Performance Max campaigns by brand, failed to account for product price competitiveness or net margins.

To ensure long-term profitability, the team needed an automated way to restructure Google and Meta Ads campaigns around net margin (calculated at the product level as price minus taxes). Focusing on net revenue after taxes guarantees that ad spend is evaluated against actual bottom-line earnings rather than top-line revenue.

Advanced multi-variable bucketing

Working alongside digital agency Happy Horizon, Huidpraktijkshop integrated Channable to execute an advanced bucketing framework. Rather than treating every product within a brand equally, the system dynamically evaluates items across four metrics:

1. Net margin (backend): Calculated at the individual item level as sale price minus taxes.

2. Transaction volume (GA4): Sourced directly from order histories.

3. Price benchmarks: Influenced continuously by a third-party dynamic pricing tool.

4. Inventory guardrails (stock): Automatically exclude items below safety stock levels to avoid advertising out-of-stock products.

The scoring matrix

To determine focus tiers, each product is scored on a weighted scale across three variables:

Performance variable	Low tier (points)	Medium tier (points)	High tier (points)	Data source
Net margin (price − taxes)	1	3	5	Backend systems
Transaction volume	1)	4	7	Google Analytics 4
Product price benchmark	1	4	7	ProductHero & Dynamic Pricing

Catalog segmentation breakdown

• High focus (combined score ≥ 8): Represents approximately 27% of all catalog products. These items receive aggressive bidding in Performance Max because they combine strong margins, proven transaction history, and competitive market pricing.

• Low focus (combined score < 8): Represents approximately 73% of the catalog. Ad spend is conserved or lowered on these items to prevent budget leakage.

Channable pro rule & dynamic pricing impact

Incorporating dynamic pricing delivers two advantages: it improves real-time performance directly on Google Shopping listings and boosts the item's benchmark score in ProductHero.

This higher grade elevates qualified products into the High Focus tier, unlocking greater ad exposure when prices align competitively with the market.

Channable Operational Rule:

• IF stock_count is below safety threshold

• THEN set exclude_from_feed to TRUE

• ELSE IF (net_margin_score + transaction_score + price_benchmark_score) ≥ 8

• THEN set custom_label_0 to "High Focus"

• ELSE

• THEN set custom_label_0 to "Low Focus"

Rapid execution & implementation timeline

Implementation speed was critical to prevent ad waste. The initial technical connections between backend databases, ProductHero, and GA4 were completed within a single day.

Over the following week, the scoring formula was developed and fine-tuned. Each variable weight was thoroughly investigated to ensure a balanced, effective distribution of products across campaign segments.

Results & commercial impact

A direct comparison between the new Performance Max campaigns (using advanced bucketing) and the old Performance Max campaigns (segmented by brand) showed dramatic performance gains across every key metric:

Key metric	Performance change	Operational impact
Conversion rate	+90%	Directing budget to price-competitive items significantly improved checkout completion.
Click-through rate (CTR)	+23%	Dynamic pricing adjustments improved offer relevance on Google Shopping feeds.
Return on ad spend (ROAS)	+19%	Budget allocation shifted to proven drivers, improving top-line efficiency.
Profit on ad spend (POAS)	+11%	Increased bottom-line net profit after subtracting taxes and ad spend.

The blueprint for sustainable eCommerce scaling

The Huidpraktijkshop case study proves that catalog growth alone does not guarantee revenue expansion. When operating in high-ticket or premium verticals, segmenting campaigns strictly by brand leads to inefficient spend.

By utilizing Channable to combine backend net margins, GA4 transactions, and price benchmarks, Huidpraktijkshop and Happy Horizon created an automated profit-driven engine.

E-commerce operators can adopt this multi-variable bucketing blueprint to protect margins, eliminate wasted ad spend, and drive sustainable growth.