Insights, guides, and updates from the Lasso team to help you master your product data.
Shopify CSV imports fail for predictable reasons: wrong encoding, broken delimiters, missing required fields, variant mapping mistakes, and invalid image URLs. This guide gives your ecommerce team a practical troubleshooting workflow to catch issues before they break listings.
Jiri Stepanek
Most shopping campaigns hit a performance ceiling not because of bidding strategy, but because of weak product data. Missing attributes, vague titles, and poor segmentation limit visibility before your budget even matters. This guide shows you the feed improvements that lift CTR, match quality, and profitability.
Jiri Stepanek
Messy supplier feeds can break listings, search filters, and paid campaigns in a single sync. This guide shows how to standardize product data with AI using mapping logic, normalization rules, validation gates, and exception handling that protects live catalogs while automating the heavy lifting.
Jiri Stepanek
Structured data is the bridge between your product pages and rich results, AI answers, and shopping features. This guide covers which schema types ecommerce sites should implement in 2026, what properties matter, and how enriched product data feeds schema at scale.
Jiri Stepanek
Cutting listing time by 50% starts with workflow redesign, not faster writers. Automate field mapping, run enrichment before QA, and route review by risk tier to turn weeks into days.
Jiri Stepanek
Variant complexity grows exponentially without limits. Set category-level caps for size, color, and pack options, build parent-child grouping rules, and map images at SKU level to prevent selector chaos and channel rejections.
Jiri Stepanek
