Insights, guides, and updates from the Lasso team to help you master your product data.
Most ecommerce search problems are not algorithm problems. They are data and UX execution problems. Use this technical checklist to tune autocomplete, typo handling, synonyms, facets, and no-results recovery so shoppers find products faster and convert more often.
Jiri Stepanek
Faceted navigation can either accelerate purchase decisions or trap shoppers in empty result pages. This guide shows ecommerce teams how to choose the right facets, prevent dead-end combinations, and turn product data quality into higher conversion rates.
Jiri Stepanek
Most feed errors are preventable. A structured feed QA checklist that combines unit tests, pre-launch sampling, CI/CD gates, and post-publish alerting stops bad data before it reaches Google, Amazon, or Meta and costs you impressions.
Jiri Stepanek
When suppliers use different naming patterns, your catalog becomes harder to search, harder to advertise, and harder to scale. This guide shows ecommerce teams how to standardize product titles with templates, normalization rules, brand/model extraction, and channel-specific length constraints.
Jiri Stepanek
Generative Engine Optimization (GEO) is how ecommerce brands earn mentions in AI-generated shopping answers. This guide explains what GEO means, what content and data AI engines use, and how to structure your catalog so it gets retrieved — not ignored.
Jiri Stepanek
Google Merchant Center disapprovals usually fall into two buckets: policy violations or product data quality issues. This guide shows how to tell them apart, fix them quickly, and build a workflow that prevents recurring feed failures.
Jiri Stepanek