Alexander Granovskiy - E-commerce Manager

Alexander Granovskiy

About Alexander Granovskiy

About Alexander Granovskiy

I am an e-commerce manager with 20+ years of experience across growth, conversion, payments and fraud, search, and operations. I focus on profitable growth and reliable execution. I build and run the systems behind acquisition, checkout, and retention, with strong attention to data quality and risk control. This page is

Skills Overview

Skills Featured

Skills Overview

I build and operate practical ecommerce systems. It is a readable map of what I actually work on, how I think about it, and where to find supporting notes, playbooks, and case studies. 1) Growth and acquisition operations Focus I treat growth as an operating loop: attract qualified demand, land

Case Studies Overview

Case Studies Featured

Case Studies Overview

Each case study summarizes the problem, what I built or changed, the outcome in directional ranges, and my role. Case studies * Case Study - One-Page Fast Checkout Single-page checkout to lift conversion, cut abandonment, and improve payment approval rate. * Case Study - Order Risk Rules Engine Real-time risk screening to

Playbooks Overview

Playbooks Featured

Playbooks Overview

Each playbook covers what to measure, what to change, and how to run weekly and monthly cadence for practical execution. These playbooks are platform-agnostic and apply to custom stacks and major commerce platforms such as Shopify, Shopify Plus, Adobe Commerce (Magento), BigCommerce, and WooCommerce. Operating system and cadence * E-commerce KPI

WMEP E-Commerce Platform Overview

E-Commerce Platform Featured

WMEP E-Commerce Platform Overview

WMEP is the end-to-end commerce system made up of two major parts: the WMAG web storefront and the InvMgr ERP. I built and own the WMAG storefront, and I am responsible for the overall WMEP operation and evolution as the e-commerce manager. Platform overview WMAG Web Storefront Platform * Built and

Articles Overview

Articles Featured

Articles Overview

Checkout - input quality I treat checkout as an input-quality system: reduce friction and prevent downstream ops failures caused by bad data. Read: E-Commerce Checkout as an Input Quality System Risk and trust - two-way road A practical model of buyer and merchant risk tied to fraud, disputes, returns, and

Publications Overview

Publications Overview

I publish across Medium, DEV (dev.to), Substack, GitHub Pages, and YouTube. This page is a simple publications overview and index of my ecommerce notes, playbooks, and case studies focused on growth, conversion, on-site search and merchandising, checkout, and trust and risk. Medium Maximize Profit - Long-Tail Merchandising That Works

Case Study - One-Page Fast Checkout

Case Study - One-Page Fast Checkout

Single-page checkout to lift conversion and cut abandonment. What it does * One-page flow for shipping, billing, and payment * Real-time suggestions for name, email, and address * ZIP to city and state * Address autocomplete * Delivery ETA display Benefits * Faster checkout with fewer errors * Clear delivery expectations * Stronger mobile conversion Results * +5 to

Case Study - Order Risk Rules Engine

Case Study - Order Risk Rules Engine

Purpose Real-time order risk screening to cut fraud and speed fulfillment. What it does * Pre-capture screening * IP geo and proxy checks * Risk lists * Payment pattern analysis * Address validation - PO box, freight forwarder * ERP and fraud API signals * Auto-release safe orders and route risky orders to review Benefits * Fewer chargebacks

Case Study - Search & Merchandising

Case Study - Search & Merchandising

Increase revenue from on-site search and raise AOV through smarter relevance and merchandising. What it does Relevance tuning * Synonyms * Stemming * Typo handling * Boosting by popularity and margin Zero-result handling * Zero-result fallbacks * Category suggestions SEO-safe navigation * SEO-safe facets and filters Ranking * Inventory-aware and margin-aware ranking * Light personalization Merchandising * Hero slots * Badges

Case Study - Semantic Query Clustering Engine

Case Study - Semantic Query Clustering Engine

Group related queries so one page can rank for multiple closely related intents and lift search-driven revenue. What it does Clusters keywords whose Google SERPs share many of the same top results. High SERP overlap implies shared user intent, so the cluster can be targeted with one high-quality page. Method

Case Study - Google Ads Optimization

Case Study - Google Ads Optimization

Grow profitable traffic - higher ROAS and lower CPA. What it does * Feed cleanup * Query sculpting * Right campaign types * Disciplined bidding * Landing page congruence * Steady creative testing Key moves Feed * Improve titles * Validate GTIN * Fill attributes * Fix disapprovals Structure * Split brand vs non-brand * Use Performance Max with assets * Use Standard