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Retail & eCommerce ยท Digital Marketing

Data Feed Transformation Drove $2.4M Incremental Revenue

๐Ÿข RetailSolutions Pro ๐Ÿ“ New York โฑ 6 weeks initial ๐Ÿ‘ฅ 3 specialists
3.9x
Shopping ROAS (from 1.8x)
40%
Reduction in Wasted Spend
$2.4M
Incremental Revenue Year 1

The Challenge

RetailSolutions Pro had 14,000+ SKUs across Google Shopping, Amazon, and 30+ other channels, but their data feeds were unoptimized โ€” weak titles, missing GTINs, stale pricing, and thin descriptions. Shopping campaign ROAS sat at 1.8x. Their previous agency had blamed bid strategy, but the real problem was data quality.

Our Solution

Our team performed a complete audit and identified 6 critical failure categories. We rebuilt feed titles using our Brand + Type + Attribute + Variant formula, enriched descriptions to 600+ characters average, fixed 4,200 missing GTINs, implemented 30-minute price update cycles, and remapped 8,000 products to correct Google Taxonomy categories. We also restructured Shopping campaigns around the improved data.

Google Merchant CenterDataFeedWatchPythonBigQueryGoogle Ads API

Results Delivered

Shopping ROAS jumped from 1.8x to 3.9x within 90 days. Wasted spend dropped 40%. Incremental revenue attributable to the feed improvements reached $2.4M in the first 12 months.

"Block Logic's tech-marketing hybrid approach is unlike any agency we've worked with. The feed rebuild paid for itself in the first month."

JR
James Reynolds
VP Marketing, RetailSolutions Pro

Project Details

A snapshot of this engagement

ClientRetailSolutions Pro
IndustryRetail & eCommerce
ServiceDigital Marketing
Duration6 weeks initial
Team Size3 specialists
LocationNew York
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Key Results
Shopping ROAS (from 1.8x)3.9x
Reduction in Wasted Spend40%
Incremental Revenue Year 1$2.4M

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