Marketing SocialAnalyticsROI

Social Media Analyzer

Social media campaign analysis, engagement rates, and ROI tracking.

$skillfish add ~skills/social-media-analyzer

Real Examples Get Started Models & Context

Real Conversations

See how the Social Media Analyzer skill responds to actual requests. These are representative examples of what your AI agent will produce.

You

We've been posting on LinkedIn for 3 months — 45 posts total. Our best post got 8,200 impressions and 4.1% engagement. Our worst got 120 impressions and 0.2% engagement. But we have no idea which posts actually drive trial signups. We have UTM links in our bio only. How do we figure out what's working for pipeline?

Agent

The UTM-in-bio approach gives you last-click attribution from LinkedIn but misses most of the influence. Here's a more complete measurement framework:

What you can measure now (no setup needed):

Compare post dates to signup spikes Pull daily trial signups from your CRM for the last 90 days. Overlay your 45 post dates. Look for signup spikes within 48–72 hours of high-performing posts — LinkedIn's consideration window is longer than most channels.
Survey new trial users Add one question to your signup flow or day-1 onboarding email: "How did you first hear about Nucleus PM?" Include "LinkedIn" as an option. Self-reported attribution is imperfect but directionally useful.
Dark social tracking Install a "How did you find us?" open-text field on signup. You'll see responses like "I saw a post about sprint planning" — this catches the LinkedIn influence that UTMs miss.

What to set up now for better future measurement:

UTM links in each post's comments Post content with no links → in the first comment, add: "Full breakdown here → [UTM link]" with unique UTMs per post type (educational, product, thought-leadership). This tells you which content category drives clicks.
LinkedIn Campaign Manager (free) — for page followers Even with organic posts, LinkedIn shows you follower growth and page visit trends. Cross-reference page visit spikes with trial signup spikes.

Your 45-post analysis — what to look for:

Which posts drove the most profile visits? (Proxy for ICP interest)
Which posts drove the most new followers? (Audience growth)
Do educational posts or thought-leadership posts get more saves? (Saves = bookmark for later = higher intent)

Share your post-level data and I'll identify the patterns.

You

Our LinkedIn engagement rate has dropped from 4.2% to 1.8% over the last 60 days. We haven't changed our posting frequency (3x/week) or content mix. Follower count went up (from 800 to 1,400). What's causing the drop and how do we fix it?

Agent

A follower count increase paired with an engagement rate drop is a specific and common pattern — and it's usually not a content quality problem. Here's the diagnosis:

Most likely cause: Follower composition dilution

When you grow from 800 to 1,400 followers quickly, the new 600 followers are less engaged than your original 800 — often because they came from one high-performing viral post that attracted a less targeted audience.

Check: Which post drove most of the follower growth? If it was a broadly relatable post (humor, hot take on a general topic), you likely attracted people outside your ICP who don't engage with your normal engineering-manager content.

Diagnostic steps:

LinkedIn Analytics → Followers → Audience demographics Check if the job title distribution has shifted. If you're seeing more "Student," "Recruiter," or unrelated job titles in your new followers, that's the cause.
Engagement rate by post type Break down your last 60 posts by type (educational, product, thought-leadership, humor). Calculate average engagement rate per type. You'll likely find one content type is dragging the average down.
Compare saves-to-likes ratio Saves are a higher-quality signal than likes. If your saves rate has held steady while likes dropped, your content is still resonating with your core ICP — you just have a higher noise-to-signal ratio in your follower base.

Fixes:

Re-narrow your content to your ICP (2–3 weeks) Post only engineering-manager-specific content. Less viral potential, but it re-engages your core audience and lets the low-fit followers self-select out.
Use LinkedIn's audience targeting on boosted posts Even small budgets ($50–100/post) let you reach engineering managers specifically, improving the quality of new followers.
Engagement pods — use carefully Reach out to 5–10 engineering managers you know and ask them to engage with your posts for 30 days. This signals to the algorithm that your content is relevant to this audience.

Expected recovery timeline: 3–4 weeks of ICP-focused content typically brings engagement rate back up, as the low-fit followers drop off naturally.

Get Started

How to install and use this skill in your preferred environment.

Skills are designed for AI coding agents (Claude Code, Cursor, Windsurf) and IDE-based workflows where the agent can read files, run scripts, and act on your codebase. Web-based AI can use the knowledge and frameworks, but won't have tool access.

Models & Context

Which AI models and context windows work best with this skill.

Recommended Models

Best

Claude Opus 4 Claude Sonnet 4 GPT-4.1 Gemini 2.5 Pro Grok 3 Kimi K2

Good

Claude Haiku 4.5 GPT-4.1 mini Gemini 2.5 Flash Grok 3 mini

Larger models produce more detailed, production-ready outputs.

Context Window

This skill's SKILL.md is typically 3–10 KB — fits in any modern context window.

8K Skill only

32K+ Skill + conversation

100K+ Skill + references + codebase

All current frontier models (Claude, GPT, Gemini) support 100K+ context. Use the full window for complex multi-service work.

Pro tips for best results

1

Be specific

Include numbers — users, budget, RPS — so the skill can size the architecture.

2

Share constraints

Compliance needs, team size, and existing stack all improve the output.

3

Iterate

Start with a high-level design, then ask follow-ups for IaC, cost analysis, or security review.

4

Combine skills

Pair with companion skills below for end-to-end coverage.

Ready to try Social Media Analyzer?

Install the skill and start getting expert-level guidance in your workflow — any agent, any IDE.

$skillfish add ~skills/social-media-analyzer

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