Social Media Marketing
What this domain tests
Social media marketing tests channel strategy and execution: audience and platform selection, content pillars, native creative, community management, paid targeting, influencer and UGC governance, social listening, and measurement. The exam expects you to connect platform mechanics to business objectives rather than treat posting as the goal.
Core rules
- Choose channels by role, not fashion. LinkedIn suits B2B authority and lead nurture; TikTok and Reels suit discovery and short-form video; Instagram supports visual commerce; YouTube supports consideration and demonstration; X is weak for broad reach but can serve real-time niches.
- Build content pillars against audience needs and funnel stages: educate, prove, entertain, convert, and retain. Adapt format natively; a repurposed TV ad usually underperforms.
- Paid social needs a test design: audience, offer, creative, placement, and landing page. Broad targeting can beat narrow interest stacks when creative and signal quality are strong; retargeting needs frequency caps and exclusion rules.
- Community management is part of brand safety: response SLAs, escalation paths, moderation policy, and tone guidance.
- Influencer and UGC programmes need disclosure, usage rights, exclusivity, and fraud checks.
Worked example
Creative A: spend $3,000, reach 120,000, engagements 3,600, clicks 1,200, conversions 60. Creative B: spend $4,000, reach 80,000, engagements 4,000, clicks 1,600, conversions 96. Engagement rate: A 3.0%, B 5.0%. CTR: A 1.0%, B 2.0%. Conversion rate: A 5.0%, B 6.0%. CPA: A $50, B $41.67. B wins on every deeper metric despite lower reach. The reasoning: reach is an input; CPA and conversion quality are outcomes. Scale B only after checking that its conversions are valid and that frequency is not inflating engagement.
Traps
Comparing engagement rates across platforms with different definitions, confusing reach with impressions, boosting posts without a target audience, treating follower count as influence, ignoring disclosure and rights, and optimising to likes when the objective is pipeline.