Alla Vovnenko on May 31, 2026
On-Site Search Metrics
Learn how to evaluate search adoption, identify relevance issues, and understand the real business impact of your ecommerce search experience.Alla Vovnenko on May 17, 2026
AI in eCommerce Merchandising: Real Workflows That Save Time
Practical AI workflows for eCommerce merchandising, including PDP content generation, SEO support, catalog operations, visual content creation, QA checks, and systems built around consistency instead of random automation.Alla Vovnenko on May 4, 2026
eCommerce Analytics Metrics: What to Track and Why
This guide covers the core eCommerce metrics across traffic, conversion, behavior, and retention, and shows how to use them to understand performance.Alla Vovnenko on April 17, 2026
Shopify vs WooCommerce vs Magento: Which Is Best
Choosing between Shopify, WooCommerce, and Magento is not about picking the “best” platform. It is about understanding the trade-offs between simplicity, control, and complexity.Alla Vovnenko on April 16, 2026
eCommerce Merchandising as a System
Merchandising in eCommerce is the practice of controlling product visibility across categories, search results, and product pages. It determines which products users see first and how those products are prioritized.Alla Vovnenko on April 15, 2026
On-Site Search Quality in eCommerce
Learn how to evaluate on-site search by ensuring all relevant products are present, properly ordered, and aligned with user intent. A practical approach based on catalog knowledge and testing queries, before moving to metrics for further refinement.Alla Vovnenko on April 11, 2026
An Easy Guide to Keyword Clustering with AI & Python
Keyword clustering is one of the most effective ways to turn a messy list of search queries into a clear, actionable structure for SEO. Instead of working with thousands of individual keywords, you group them by meaning and intent, which makes it much easier to plan categories, content, and site architecture.Alla Vovnenko on April 4, 2026
LTV report in GA4 for eCommerce
The User Lifetime Value (LTV) report in Google Analytics 4 helps evaluate how much value different groups of users bring to a business over time. Instead of focusing on single sessions or transactions, this report shifts the perspective to long-term performance. It shows how users acquired through specific channels or campaigns contribute to revenue across their entire lifecycle.Alla Vovnenko on March 29, 2026
Can personalization hurt SEO?
Personalization sounds like a clear win. Show each visitor what is most relevant, adapt content to behavior, and improve conversion. But there is a long-standing concern in...Alla Vovnenko on March 23, 2026









