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Career Advancement Programme in Audience Targeting for Customer Lifetime Value

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Audience Targeting for increased Customer Lifetime Value (CLTV) is key to career advancement. This programme equips marketing professionals with advanced skills in data analysis and customer segmentation.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

Learn to identify high-value customer segments. Master predictive modeling techniques. Develop strategies for personalized campaigns and enhanced customer engagement. Improve retention rates and boost CLTV. This career advancement programme is ideal for marketing managers, analysts, and anyone aiming for a data-driven role. Boost your career today! Explore the programme details and enroll now.

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์–ด๋””์„œ๋“  ํ•™์Šต

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์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Understanding Customer Lifetime Value (CLTV) and its calculation methods
  • Audience Segmentation and Profiling Techniques
  • Data Analytics for Audience Targeting
  • Digital Marketing Channels and their Audience Reach
  • Building Customer Personas and Journey Maps
  • Targeting Strategies for Different Customer Segments
  • Measuring and Optimizing Campaign Performance
  • Legal and Ethical Considerations in Audience Targeting
  • Predictive Analytics for Customer Behavior
  • Advanced Targeting Techniques (e.g., Lookalike Audiences, Retargeting)

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Audience Targeting Specialist (Customer Lifetime Value) Develop and implement strategies to maximize customer lifetime value through precise audience targeting.

Leverages data analytics and marketing automation.

High demand in UK digital marketing.

Customer Lifetime Value Manager Leads teams in optimizing customer journeys and retention strategies, focusing on boosting CLTV.

Requires strong leadership and analytical skills.

Significant career progression potential.

Marketing Analyst (CLTV Focus) Analyzes customer data to identify trends and opportunities to increase customer lifetime value.

Develops predictive models and reports.

Data visualization and communication skills are crucial.

Senior Data Scientist (Customer Retention) Develops advanced analytical models to predict customer churn and optimize retention strategies, directly impacting CLTV.

Requires advanced statistical modeling skills.

High earning potential.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN AUDIENCE TARGETING FOR CUSTOMER LIFETIME VALUE
์—๊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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