Certified Professional in Ad Retention Data Analysis

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Certified Professional in Ad Retention Data Analysis is a crucial credential for marketing professionals. This certification validates expertise in analyzing advertising data to improve retention rates.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

Learn advanced techniques in customer lifetime value (CLTV), cohort analysis, and regression modeling. Understand key performance indicators (KPIs) like churn rate and customer acquisition cost (CAC). Designed for data analysts, marketing managers, and anyone working with advertising data, Certified Professional in Ad Retention Data Analysis provides valuable skills for optimizing marketing campaigns. Boost your career and enhance your data analysis capabilities. Explore the program today!

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์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Ad Retention Data Analysis Fundamentals
  • Cohort Analysis for Ad Performance
  • Customer Lifetime Value (CLTV) Modeling & Ad Spend Optimization
  • Advanced Regression Techniques in Ad Retention
  • Predictive Modeling for Churn Prediction & Ad Campaign Optimization
  • A/B Testing and Experiment Design for Ad Retention
  • Data Visualization and Reporting for Ad Retention
  • Attribution Modeling and Multi-touch Attribution (MTA) for Improved Ad ROI
  • Statistical Significance Testing for Ad Campaign Evaluation

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Certified Professional in Ad Retention Data Analysis Roles (UK) Description Senior Data Analyst (Ad Retention) Leads complex data analysis projects focused on improving ad retention rates, developing advanced models and providing strategic insights.

Requires expertise in SQL, Python, and statistical modeling.

Ad Retention Data Scientist Develops machine learning models to predict and improve ad retention, leveraging large datasets and advanced algorithms.

Strong programming skills (R, Python) and statistical knowledge are essential.

Marketing Data Analyst (Ad Retention Focus) Analyzes marketing campaign data to identify factors impacting ad retention.

Collaborates with marketing teams to optimize campaigns and improve user engagement.

Proficiency in data visualization tools is a must.

Business Intelligence Analyst (Ad Retention) Develops reports and dashboards to monitor key ad retention metrics and provide actionable insights to business stakeholders.

Strong SQL and data visualization skills are crucial.

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์ด ๊ณผ์ •์˜ ๋น„์šฉ์„ ์ง€๋ถˆํ•˜๊ธฐ ์œ„ํ•ด ํšŒ์‚ฌ๋ฅผ ์œ„ํ•œ ์ฒญ๊ตฌ์„œ๋ฅผ ์š”์ฒญํ•˜์„ธ์š”.

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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFIED PROFESSIONAL IN AD RETENTION DATA ANALYSIS
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of International Business (LSIB)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
์ด ์ž๊ฒฉ์ฆ์„ LinkedIn ํ”„๋กœํ•„, ์ด๋ ฅ์„œ ๋˜๋Š” CV์— ์ถ”๊ฐ€ํ•˜์„ธ์š”. ์†Œ์…œ ๋ฏธ๋””์–ด์™€ ์„ฑ๊ณผ ํ‰๊ฐ€์—์„œ ๊ณต์œ ํ•˜์„ธ์š”.
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