Paid Ads Case Study: $1.77M in 90 Days for Rylee Faith Designs

Ad examples

Ad creatives from the live account. Auto-scrolls - hover to pause.

The situation

Rylee Faith Designs sells across wholesale and direct-to-consumer. One blended Meta campaign with one creative pool cannot serve both motions or the category depth inside the catalog.

Dumping budget into a single structure mixes girls' mom, boys' mom, and collection-level demand into one learning set. ROAS looks noisy. Scale stalls. They needed room to spend about $40K-$60K per month without the account collapsing into one average.

The insight

Split the catalog the way the buyer already thinks. Separate category and collection campaigns so each pocket of demand gets its own creative, landing path, and budget. That is how you hold 4x+ Purchase ROAS while spend climbs.

Wholesale and DTC can share a brand. They should not share one opaque optimization bucket.

What we deployed

Category and collection campaign splits Dedicated structures for lines and seasonal collections (Fall, Floral, New Arrivals, and more in the proof export) instead of one catch-all spend pool.

Audience architecture by shopper type Moms shopping girls vs boys, plus collection-intent audiences, so delivery was not guessing inside a blended catalog.

Scale with ROAS floors intact Monthly Meta spend in the ~$40K-$60K band while average Purchase ROAS in the proof export held near 4.07, with category campaigns clearing ~4.0+.

Tracking and qualification layer GA4 + enhanced conversions so we could see engagement quality, not only purchase pixels.

Creative refresh cadence New collection assets rotated in before fatigue flattened the category winners.

Results

May 1 - Jul 31, 2026 Shopify total sales: $1,769,876, +123% year over year. Gross sales about $1.82M (+120%). Orders about 15.5K (+143%).

Meta proof export: average Purchase ROAS ~4.07 across the campaign set, with category campaigns holding around 4.0+. Spend stayed in the $40K-$60K/mo operating band from Sean's brief while those returns held.

Why it worked

Catalog splits beat blended learning Each category earned its own budget and creative.

B2B + DTC were planned, not mashed Structure matched how the brand actually sells.

Scale respected ROAS floors Spend moved up without letting the account average down to a weak blended number.

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