email-metrics-analyzer

To benchmark email campaign metrics, you can input your CSV campaign data to calculate 9 key metrics like open rate, CTR, and ROI, then compare them against universal and vertical benchmarks to generate a stakeholder-ready Markdown report with traffic-light statuses.

Yes, you can analyze pasted email campaign data directly without a strictly formatted CSV file. The analyzer parses common column variants from pasted data or CSV inputs to compute metrics for marketing, ecommerce, or newsletter campaigns.

A benchmarked email analytics report includes 9 specific metrics: open rate, CTOR, CTR, conversion rate, unsubscribe rate, complaint rate, bounce rate, ROI, and a per-campaign summary, all evaluated with traffic-light health indicators.

Yes, the email metrics analyzer requires pandas as a dependency to process CSV inputs and compute the benchmarked metrics that produce the final 4-pillar Markdown report and optional JSON payload.

The best way to create stakeholder-ready reports is to run benchmarked email analytics on your monthly campaign data, generating a 4-pillar Markdown report that is concise, visual, engaging, and shows growth with actionable next steps.

You can calculate email ROI and conversion rates for ecommerce campaigns by providing your campaign data to the analyzer, which automatically computes these metrics and benchmarks them against vertical standards to identify performance health.