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.
Discover why data analysts remain essential despite AI and modern dashboards. Learn how statistical knowledge, Marketing Mix Modeling (MMM), machine learning, and multidimensional analysis help businesses make better marketing decisions and uncover insigh
An open-source Python notebook that automatically scans hundreds of countries, accounts, and channels to find the root cause of a performance drop — no data science background required.
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.
Creative analytics in Google Ads is more complex than most teams realize. Discover 4 structural problems — from black box delivery to attribution gaps — that make creative performance data misleading in PMax and App campaigns.
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.
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.