Guide
Checkout Completion Rate: How to Measure and Improve It
Define checkout completion correctly, segment it, diagnose operational and UX causes, and measure downstream business quality.
Mersad Insights
Practical thinking for e-commerce growth.
Research, frameworks, analysis, and execution guidance across CRO, UX, analytics, experimentation, and e-commerce operations.
Guide
Add to Cart Rate: How to Diagnose Product Page Performance
Use Add to Cart as a diagnostic metric rather than a vanity benchmark and connect it to traffic intent, product mix, variants, and downstream purchase.
Guide
Agentic Commerce Explained: How AI Is Changing Product Discovery and Purchase Journeys
Define agentic commerce carefully, separate current capabilities from speculation, and build an operational readiness framework around data, discovery, experience, and measurement.
Guide
AI Shopping Agents and Ecommerce: What Changes for CRO and Product Discovery?
Explain the shift from human-only storefront navigation to machine-assisted discovery and what that means for product data, content, CRO measurement, and customer experience.
Guide
Shipping and Return Structured Data for Ecommerce SEO
Explain how shipping and return information can be represented in ecommerce data while emphasizing accuracy, eligibility, and synchronization with visible policies.
Guide
Product Data Optimization: How Better Catalog Data Improves Search Visibility
Treat catalog quality as infrastructure for internal search, filters, structured data, Merchant Center, SEO, recommendations, and AI discovery.
Guide
Ecommerce SEO for AI Search: How to Make Products Easier to Discover
Use current Google guidance to focus on strong SEO foundations, accessible product data, useful content, and crawlability rather than unverified GEO hacks.
Guide
Google Merchant Center vs Product Structured Data: What Ecommerce Brands Need
Clarify the roles of Merchant Center and on-page structured data, where each is used, and why consistency between them matters.
Guide
Shopify A/B Testing: What to Test, What Not to Test, and How to Prioritize
A practical experimentation framework for Shopify teams covering evidence, hypotheses, prioritization, metrics, sample planning, guardrails, QA, and direct-fix decisions.
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