The p-value is one of the most important measures in statistics for exploring our world and making statistically significant discoveries.
In this blog, I'm sharing my knowledge of digital marketing and data analysis. You may find these articles useful if you want to grow your business or discover advanced ways to analyze your data.
Learn how to measure the success of CRM campaigns using incrementality testing, A/B testing, and Marketing Mix Modeling (MMM). Discover a structured data-analytic approach to evaluating new user acquisition and channel efficiency.
Learn how to measure digital marketing performance using Marketing Mix Modeling (MMM) with PyMC. Discover how to estimate channel contribution, ROAS, adstock, saturation, and forecast scenarios without traditional attribution models.
Discover why most businesses don't need more marketing channels—they need deeper data analysis. Learn how statistical thinking, proper A/B testing, and exploratory analysis reveal the truth behind best-sellers, discounts, and campaign performance that sur
Learn about the Central Limit Theorem (CLT) and the Law of Large Numbers with practical examples. Understand how CLT applies to A/B testing and PPC marketing to make data-driven decisions.
Learn how to connect Microsoft Ads with Google Sheets using a custom script. Step-by-step guide and ready-to-use code to export campaign data, impressions, clicks, conversions, and cost metrics automatically.
Discover why overlooking ad copy is one of the biggest mistakes in Google Ads. Learn how to craft clear, specific, and engaging messages that stand out, drive clicks, and increase conversions.
Why PPC Specialists and Account Managers should remain separate roles: specialization, better client relations, operational efficiency, and balanced workloads for stronger digital advertising outcomes.
Discover why most Google Ads fail—not because of targeting or bidding, but weak messaging. Learn how to write ad copy that skips hype, informs with facts, and truly converts.
Master stakeholder management with three proven frameworks: SCARF for understanding motivations, RACI for role clarity, and DISC for communication styles. Complete guide with practical examples and implementation strategies.
I'm actively applying for jobs from Armenia, yet many applications remain unopened. In the AI era, real networking matters more than Easy Apply.
After 3 years on LinkedIn, I look back at the mistakes I made during my first year—overusing hashtags, posting external links, tagging the wrong people, and more. Learn what to avoid and how to grow effectively on LinkedIn.
Black and Cat Café – a cozy place with delicious coffee, jazz evenings, and a friendly team. Meet our barista Sam Bridges, who builds bridges between people with every cup of coffee.
These articles are regularly updated to provide fresh insights on data analysis, AI, and career opportunities. Check back often for the latest information!
Discover open and archived Data Analyst, Data Scientist, and Data Engineer positions worldwide. Includes remote, hybrid, and on-site roles. This list is continuously updated to reflect the latest opportunities.
Explore a curated list of platforms, libraries, and services for data analysis, AI, and business intelligence. This article is regularly refreshed to include the newest tools and updates.