Social Media Algorithms and Their Impact on PR Strategies

Course Overview

  • Understand the foundational principles of social media algorithms and their evolution.
  • Analyze how algorithmic changes impact audience reach and engagement in public relations (PR).
  • Develop PR strategies tailored to algorithm-driven platforms.
  • Identify ethical considerations and opportunities associated with leveraging algorithms in PR campaigns.

Training Format:In-class, Virtual, In-house

Location:Lagos, Accra, Nairobi, Kigali

Language:English, French

Nigeria Price:
₦3300000

Int'l., (Nigeria) Price:
$1000

Ghana Price:
$4000

Kenya Price:
$5500

Rwanda Price:
$6000

Nigeria Price:₦3300000

Int'l., (Nigeria) Price:
$1000

Ghana Price:
$4000

Kenya Price:
$4000

Rwanda Price:
$4000

Nigeria Price: ₦3300000

Int'l., (Nigeria) Price:
$1000

Ghana Price: $4000

Kenya Price: $4000

Rwanda Price: $4000

Understanding Social Media Algorithms

  • What are social media algorithms?
  • Evolution of algorithms on major platforms (e.g., Facebook, Instagram, Twitter, TikTok, LinkedIn).
  • Key factors influencing content visibility: engagement, recency, relevance, and personalization.

Impact of Algorithms on PR Strategies

  • How algorithms shape audience reach and engagement.
  • Challenges and opportunities for PR professionals.
  • Case studies: Successful and failed PR campaigns influenced by algorithmic changes.

Adapting PR Strategies to Algorithmic Changes

  • Creating algorithm-friendly content (e.g., optimized headlines, timing, and multimedia).
  • Using analytics tools to monitor performance and refine strategies.
  • Practical tips: Navigating trends, hashtags, and community management.

Ethical Considerations and Future Trends

  • Ethical concerns: Manipulation, misinformation, and bias.
  • Balancing authenticity with optimization.
  • Future trends: AI and machine learning in social media algorithms and their implications for PR.
  • Group discussion: Building sustainable, ethical PR strategies.

1ST BATCH: Tuesday, January 20, 2026 — Friday, January 23, 2026.

2ND BATCH: Tuesday, May 12, 2026 — Friday, May 15, 2026.

3RD BATCH: Tuesday, September 8, 2026 — Friday, September 11, 2026.

The training methodology integrates lectures, interactive discussions, collaborative group exercises, and
illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical
experience, emphasizing the application of learned techniques. This approach ensures that attendees return
to their professional environments equipped with both the competence and self-assurance to effectively
implement the acquired skills in their responsibilities.

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