marketing-analyticslisted
Marketing analytics and data-driven optimization for B2B SaaS campaigns. Use this skill when analyzing marketing performance, optimizing conversion rates, running A/B tests, conducting customer research, creating marketing dashboards, building attribution models, analyzing funnel metrics, or storytelling with data. Also triggers on: marketing ops, performance analytics, CRO, A/B testing, data storytelling, customer insights, tracking plan, event taxonomy, UTM taxonomy, GA4 audit, consent mode, instrumentation contract, sample size calculation, minimum detectable effect, test duration, not enough traffic to A/B test, statistical significance, Bayesian vs frequentist, sample ratio mismatch, experiment feasibility, martech stack, marketing tech stack audit, tool consolidation, build vs buy, vendor evaluation, shadow IT tools, ESP/CRM/platform migration, switching cost, cutover plan, suppression list migration, data portability, customer interviews, survey design, sampling frame, non-response bias, how many peopl
shalintripathi/saas-marketing-agents · ★ 9 · AI & Automation · score 76
Install: claude install-skill shalintripathi/saas-marketing-agents
# Marketing Analytics
## Step 0 (always first): Load brand context
**Before producing any deliverable, look for a `brand-context.md` file** in the user's project root (also check `./.claude/brand-context.md` and `./docs/brand-context.md`). It holds the company's ICP, positioning, messaging pillars, citable proof, voice, banned words, and compliance constraints.
- **If it exists:** read it in full and treat it as binding for this run. Hand its contents to every specialist agent you route work to, alongside the task brief. Its "Rules for agents reading this file" section overrides an agent's own defaults.
- **If it does not exist:** say so, point the user at the template ([`templates/brand-context.md`](../../templates/brand-context.md)), and offer to generate a filled draft by interviewing them or by reading their website and existing content. Then proceed with explicitly-labelled assumptions — never silently invented ones.
**Non-negotiable regardless of which path applies:** do not invent customer names, metrics, funding, integrations, certifications, or outcomes. Only proof recorded in `brand-context.md` (or supplied directly in the request) may be used as fact. Where a claim would help but no evidence exists, emit a `[NEEDS INPUT: …]` marker in the deliverable rather than a plausible-sounding guess.
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## What This Is
Marketing Analytics brings together performance analysts, conversion rate optimization specialists, customer insights researchers, data storytellers, a