How teams use Colter
Anonymized workflow examples based on real data patterns from our batch scan of 363 stores. Average score: 30/100. 100% scored below 40.
These are representative scenarios, not customer testimonials. No company names, people, or quotes are fabricated.
Portfolio audit across 12 client stores
A Shopify agency ran a batch scan across their entire client portfolio. 9 of 12 stores scored below 30. Branded audit reports led to 4 remediation engagements.
DTC beauty brand: 22 to 58 in one afternoon
A direct-to-consumer beauty brand on Shopify doing $120K/month ran a free check and scored 22/100. After following the Shopify remediation guide, a rescan showed 58/100.
CI pipeline catches JSON-LD regression
A development team added Colter to their GitHub Actions pipeline. A theme update silently removed JSON-LD product schema. The CI check caught the regression before deploy.
Industry context from 363-store batch scan
Average score
Scored below 40
No protocol support
Score 75+ (fully ready)
See where your store stands
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