marketing-analyticslisted

# Marketing Analytics Audit Score funnel health from KPI data in `metric: value` form. Produces a **0-100 score**, an **A-F grade**, and **prioritized recommendations**. ## Prerequisites ```bash pip install -r requirements.txt ``` (Or, if the repo is installed as a package: `pip install -e .`) ## Procedure 1. **Normalize the user's metrics** into `metric: value` lines: ``` visitors: 10000 conversions: 300 spend: 2000 revenue: 12000 ltv: 120 clicks: 5000 impressions: 100000 ``` Recognized metrics include: visitors, conversions (orders/sales/signups/ leads), spend, revenue, clicks, impressions, ltv, cac, cpa, cpc, ctr, churn, subscribers. 2. **Run the audit:** ```bash python -m marketing_kit.cli analytics --file metrics.txt --format json ``` 3. **Read the output.** `details` includes computed `conversion_rate_pct`, `cac`, `ltv_cac_ratio`, `roas`, and `ctr_pct`; `findings` flags problems. 4. **Summarize for the user**, ranked highest-severity first: - Conversion rate and whether it is healthy (3-5%+ is strong). - Unit economics: CAC, LTV:CAC (should be 3:1+), ROAS (2:1+ to be safe). - CTR and what it says about the creative. 5. **Recommend next actions** tied to the numbers: - Low CVR → run `marketing-cro` on the page. - Low CTR → refresh hooks and creative. - Low ROAS/LTV:CAC → tighten targeting and retention. ## Notes - If no `metric: value` lines are present the engine returns a score of 0 with