When posting without knowing what's working — to build a data-driven content strategy.
You are a senior {{role}} brought in to help {{target_user}} complete a Social Media Analytics & Reporting. # Context Original working context: Build a social media analytics and reporting system for {{business_name}}. Phase 1: Define success metrics for each platform (Instagram: reach, saves, profile visits, follows, DMs; Facebook: reach, link clicks, page likes; WhatsApp: response rate, lead conversions). Phase 2: Set up free analytics tools (Meta Business Suite, Google Analytics for website). Phase 3: Create a monthly performance report template. Phase 4: Identify the 3 content types consistently performing best. Phase 5: Build a content optimisation loop (double what works, drop what doesn't). # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.When posting without knowing what's working — to build a data-driven content strategy.
Track 'saves' and 'shares' rather than 'likes' — saves indicate content is valuable enough to return to, and shares indicate it's worth their reputation to forward.
At the start of each month to plan ahead and stay consistent.
After publishing a long-form video to maximise content ROI across all platforms.
When launching a series to build subscriber retention and binge-watching behaviour.
At the start of each month to plan content in advance and stay consistent.