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Illustrative example — not a real customer
Home Decor · Interiors·Lyon, France

Home decor brand cuts CPA 38% with seasonal Performance Max rotation

The brand, quote, and numbers below are a modeled scenario built to illustrate how Adsify structures campaigns. Replace with verified case studies as merchants opt in.

Blended CPA

$18

from $29

-38%

ROAS

3.6×

from 2.4×

+50%

Monthly revenue

$39,400

from $21,000

+88%

Seasonal CPA spike

+9%

from +60%

-51pp

Measured over first 120 days

"Seasonality used to wreck our numbers every quarter. Structuring campaigns by collection instead of by product fixed it."

Composite founder profile
Illustrative scenario · home decor DTC

The challenge

A home decor store had highly seasonal demand (autumn textiles, Christmas lighting, spring ceramics) but ran one flat Performance Max campaign all year. CPA spiked every time the season turned because the asset groups still pushed last quarter's bestsellers.

What Adsify did

Adsify mapped the Shopify catalog into seasonal collections and rebuilt Performance Max around one asset group per collection, each grounded in its own keyword cluster ("linen curtains autumn", "handmade ceramic vase gift"). The auto-optimizer shifts budget between collections weekly as search volume moves.

The playbook, step by step

  1. 1Split one flat PMax campaign into 4 seasonal collection asset groups
  2. 2Keyword clusters sourced per collection from Google search-volume data
  3. 3AI creative regenerated at each season change from new catalog imagery
  4. 4Auto-optimizer rebalances budget between collections weekly

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