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7 Google Ads Mistakes Killing Your Fashion & Apparel ROAS

The average fashion & apparel store wastes 31% of their Google Ads budget on these preventable mistakes. Here's what to avoid—and how to fix it.

Fashion & Apparel-Specific Google Ads Problems

Mistake #1: Seasonal Inventory Mismatch

Ads running for winter coats in spring, summer dresses in fall. Your budget promotes products nobody's searching for while hot seasonal items get underbid.

$2,000-8,000/monthFashion & Apparel-specific

Example: 35% of budget still going to fall collection in January

Mistake #2: Size/Color Variant Bleeding

Advertising sizes that are sold out, colors that don't photograph well, and variants with poor sell-through rates. Each click costs money but can't convert.

$1,500-5,000/monthFashion & Apparel-specific

Example: Ads showing for XXS and 3XL sizes that only have 2% of inventory

Mistake #3: Fast Fashion CPCs Spiral

Competing against Shein, Zara, and H&M for generic fashion keywords is suicide. $3-5 CPCs for 'summer dresses' with 1% conversion rates.

$3,000-10,000/monthFashion & Apparel-specific

Example: Paying $4.20 CPC for 'women's tops' against fast fashion giants

Mistake #4: Poor Visual Feed Quality

Fashion is visual-first, but your product images are flat, inconsistent, or don't show the product in context. Low CTR means high costs.

$1,000-4,000/monthFashion & Apparel-specific

Example: White background images getting 1.5% CTR vs. lifestyle shots at 3.5%

Mistake #5: Returns Not Factored into ROAS

Fashion has 25-40% return rates. Your 4x ROAS looks great until returns come back. You're optimizing for revenue that evaporates.

$2,500-8,000/monthFashion & Apparel-specific

Example: Reported $50,000 revenue, actual $32,000 after 36% returns

More Ecommerce Google Ads Mistakes

4

Running All Products in One PMax Asset Group

With a single asset group, Google optimizes for aggregate ROAS by heavily favoring your top 5-10 products. The rest of your catalog gets almost no impressions. Worse, low-margin products drag down profitability while appearing successful in aggregate.

$1980 wasted on non-performing products

Fix: Segment products by performance tier: Winners (scale), Potentials (test), Underperformers (cut or fix). Create separate asset groups for each.

5

No Brand Exclusions in Performance Max

PMax claims credit for brand searches that would've cost $0.30 through a dedicated brand campaign. Without exclusions, you're paying 3-5x more for customers already looking for you.

30% of PMax 'conversions' may be cannibalized brand traffic

Fix: Add brand exclusions to PMax and run a separate Brand Search campaign with exact match keywords.

6

Poor Product Feed Quality

Missing GTINs, generic titles, no custom labels, and missing sale prices hurt your Shopping ad performance. Wrong google_product_category

35% lost impression share

Fix: Include season and occasion in product titles

7

Ignoring New vs Returning Customer Split

Your 5x ROAS might look great until you realize 70% of sales are repeat customers who would've bought anyway. You're paying to acquire customers you already have.

Overstated true acquisition ROAS by 2-3x

Fix: Segment reporting by new vs returning customers. Set up customer match lists and analyze true CAC.

Campaign Types to Avoid for Fashion & Apparel

Not all campaign types work for fashion & apparel stores. Here's what to skip:

Generic fashion keywords

Can't compete with fast fashion CPCs

PMax without product segmentation

Pushes budget to any product that converts, ignoring returns

Display prospecting for trends

Attracts browsers, not buyers

What to Do Instead

Follow these best practices to maximize your Fashion & Apparel Google Ads performance:

Standard Shopping by Season

Budget: 35-45% • Target ROAS: 3-5x

Branded Search

Budget: 10-15% • Target ROAS: 6-12x

Long-tail Non-Brand

Budget: 25-35% • Target ROAS: 2.5-4x

Dynamic Remarketing

Budget: 15-20% • Target ROAS: 5-8x

How Many of These Mistakes Are You Making?

Our audit scans your Fashion & Apparel Google Ads account and identifies exactly which mistakes are costing you money—with specific fixes for each.

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