Alexander Granovskiy (Page 2)

Alexander Granovskiy

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

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

E-commerce KPI Scorecard Playbook

E-commerce KPI Scorecard Playbook

Core commerce Traffic * Site sessions Conversion * Conversion rate - % of sessions that purchase Order economics * Average order value (AOV) - revenue per order Revenue identity * Revenue - sessions x conversion x AOV Digital marketing Efficiency * Paid ROAS - revenue from paid ads / ad spend * Blended ROAS - total revenue / total paid spend Unit economics * CAC

Sitewide Conversion Rate Benchmark Uplift - Directional Ranges Playbook

Sitewide Conversion Rate Benchmark Uplift - Directional Ranges Playbook

Purpose Use these directional uplift ranges to size opportunities, prioritize tests, and set realistic expectations for sitewide conversion rate impact. How to use * Treat ranges as directional and context-dependent * Use the lower end for small iterations and mature programs * Use the upper end for larger redesigns, major fixes, or

Growth Playbooks

Growth Playbooks

Paid ads (Google and Microsoft) * Feed quality - titles, GTIN, attributes, availability * Query sculpting - negatives, match types, campaign structure * Bidding hygiene - ROAS targets, device and geo splits, dayparting * Landing page congruence - message match and speed * Creative testing cadence - new ads weekly, winners promoted SEO and content * Technical hygiene - faceted nav rules,

Marketplace Operations Playbook

Marketplace Operations Playbook

Objectives Maximize Buy Box share, GMV, and contribution margin while protecting account health and CX. Health metrics * Buy Box share - % of eligible detail page wins * Order Defect Rate (ODR) - A-to-Z, negative feedback, chargebacks * Late shipment rate - % of orders shipped after promise * Pre-fulfillment cancel rate - % canceled before ship

Website Usability - Findability & Discovery Playbook

Website Usability - Findability & Discovery Playbook

Navigation & Findability * Main menu with clear categories * Search-first UX: auto‑complete, typo tolerance, synonym handling, zero‑results fallbacks * Layered navigation Product Discovery & Content * Scannable PLP cards (price, rating, key attribute); quick‑view without losing position * PDP above‑the‑fold essentials: title, price, prime benefits * Credibility: verified eKomi

Website Usability - Checkout & Accessibility Playbook

Website Usability - Checkout & Accessibility Playbook

Checkout & Forms * One‑page Fast Checkout with minimal fields; address autocomplete/validation * Real‑time inline validation; friendly error copy; preserve user input on errors Accessibility (WCAG 2.2 AA) * Proper labels, roles, focus order; keyboard‑navigable menus & filters * High‑contrast text; visible focus states; alt text on imagery/

Operations & CX Playbook

Operations & CX Playbook

Objectives Hit SLAs, reduce WISMO, lower returns while protecting margins. Core SLAs * Order cutoff times by zone * Pick-pack time targets * On-time ship % by channel * Delivery promise accuracy * Handling time policy per marketplace * Weekend and holiday rules Process flows * Exception handling for OOS, address issues, fraud reviews * Backorders and

Performance & Speed Playbook

Performance & Speed Playbook

Goal * Sub-second TTFB * High cache-hit ratio * Stable p95 latency under load Dynamic webpages caching * Cache dynamic HTML for key templates like Home, PDP, and PLP * Use query-string-aware cache keys per URL and query * Cache safely - avoid caching personalized or session-dependent responses Edge delivery and optimization

Security Defense Layers - Edge & Server Playbook

Security Defense Layers - Edge & Server Playbook

Purpose * Minimize attack surface at the perimeter and web server before application code runs * Default-deny invalid or abusive traffic, and log for investigation Defense layers Edge perimeter filtering * Block traffic by country or region to reduce bot and scanner traffic before it reaches the site IP and domain restrictions

Security Defense Layers - Application Playbook

Security Defense Layers - Application Playbook

Purpose * Admit only validated inputs and execute database operations safely * Reduce risk of injection, traversal, and session abuse Defense layers Input canonicalization and sanitization * Remove directory traversal tokens and null bytes * Normalize percent-encoding * Strip disallowed characters * Collapse repeated separators and whitespace Query-parameter allow-list and validation * Process only