Marketing Analytics
Turn marketing metrics into insights and next actions - funnel, channel, campaign, and cohort analysis - using real data only. Use when reviewing performance or building a report.
Install
$ agentstack add skill-m-binimran-marketing-pack-marketing-analytics ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
marketing-analytics
Numbers into decisions. Read the right metric for the goal; never invent a figure.
Read the right metric per goal
- Acquisition: traffic by channel, CTR, CPC, CPL/CPA, ROAS.
- Conversion: landing/page conversion rate, funnel drop-off, form completion.
- Email: delivery, open, click, unsubscribe, conversion.
- Retention/value: repeat rate, LTV, churn, cohort behaviour.
Process
- Use the real data (supplied or via a connector - GA4, ad platforms, ESP). Don't fabricate or guess benchmarks.
- Find the story: what's working (scale it), where the funnel leaks (fix it), what underperforms (cut it).
Compare to the baseline/goal, not vibes.
- Attribute honestly - note attribution model limits; don't over-credit a channel.
- Recommend: 3 concrete next actions + one experiment (
ab-test).
Output
- A short report: top performers + why, the biggest leak, 3 actions, 1 experiment - every number real and sourced.
Guardrails
- No fabricated metrics or benchmarks (
truth-telling); mark missing data[verify]. - Don't over-read small samples or short windows; state the limitation.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: m-binimran
- Source: m-binimran/marketing-pack
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.