Career Advancement Programme in Data-driven Audience Retention

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Data-driven Audience Retention: This Career Advancement Programme equips marketing and analytics professionals with the skills to build loyal customer bases. Learn to leverage data analytics and customer segmentation for personalized marketing strategies.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

Master predictive modeling, retention strategies, and customer lifetime value (CLTV) optimization. Develop actionable insights from complex datasets using tools like SQL and R. Boost your career in digital marketing, analytics, or customer success. This programme is designed for professionals seeking career growth in a data-driven environment. Enroll now and transform your career!

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์–ด๋””์„œ๋“  ํ•™์Šต

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์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Data Analysis for Audience Segmentation
  • Customer Relationship Management (CRM) and Data Integration
  • Predictive Modeling for Churn Prediction
  • Personalized Communication Strategies
  • Marketing Automation and Campaign Optimization
  • A/B Testing and Experiment Design
  • Data Visualization and Reporting
  • Audience Behavior Analysis and Trend Forecasting

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Data Scientist (Audience Retention) Develop and implement data-driven strategies to improve customer loyalty and reduce churn.

Leverage advanced analytics for predictive modelling and audience segmentation.

Marketing Analyst (Data-driven Retention) Analyze campaign performance, customer behaviour, and market trends to optimize retention efforts.

Identify high-risk segments and develop targeted interventions.

Business Intelligence Analyst (Customer Retention) Translate complex data into actionable insights to inform business decisions related to audience retention.

Develop dashboards and reports to track key performance indicators (KPIs).

Data Engineer (Retention focused) Build and maintain robust data pipelines to support data-driven retention strategies.

Ensure data quality and accessibility for analysis and reporting.

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์™œ ์‚ฌ๋žŒ๋“ค์ด ๊ฒฝ๋ ฅ์„ ์œ„ํ•ด ์šฐ๋ฆฌ๋ฅผ ์„ ํƒํ•˜๋Š”๊ฐ€

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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
CAREER ADVANCEMENT PROGRAMME IN DATA-DRIVEN AUDIENCE RETENTION
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
Stanmore School of Business (SSB)
์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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