skills.rest
bostonrobbie
bostonrobbieCOMMUNITY
Explore all skills by this author →
GitHub

Analytics Engine

Aggregate outreach campaign performance data and compare against historical baselines.

Updated Aug 23, 2026
Search Tags:#performance#analytics#optimization#reporting#data analysis#outreach
One-click install
npx skills add https://github.com/bostonrobbie/BDR --skill analytics-engine
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Analytics Engine
Source: https://github.com/bostonrobbie/BDR/tree/main/skills/analytics-engine
Command: npx skills add https://github.com/bostonrobbie/BDR --skill analytics-engine

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill analyzes outreach campaign performance, identifying what's working and what's not to improve future messaging and targeting.

Core Features & Use Cases

  • Performance Aggregation: Consolidates reply rates and conversion data across multiple outreach batches.
  • Granular Analysis: Slices data by persona, vertical, message length, proof point, and more.
  • Baseline Comparison: Compares current campaign results against historical benchmarks.
  • Use Case: After running several email campaigns, use this Skill to understand which subject lines lead to the highest reply rates and which personas are most responsive, informing your next campaign's strategy.

Quick Start

Run the analytics engine to get a pre-brief for the next batch.

Frequently Asked Questions about Analytics Engine

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze outreach campaign performance data from CSV files?▼

Analyzing outreach campaign performance requires aggregating reply rates and conversion metrics across personas and verticals from CSV files. This compares current results against historical baselines to identify trends and inform strategic adjustments for future campaigns.

What is the best way to compare current email outreach results against historical baselines?▼

Comparing current email outreach results against historical baselines involves aggregating performance data across multiple batches. This baseline comparison identifies what messaging and targeting are working, highlighting trends to improve future outreach strategies.

Can I slice outreach reply rates by persona and message content?▼

Yes, you can slice outreach reply rates by persona, vertical, message length, and proof point. This granular analysis isolates which message content variables lead to the highest reply rates, informing your next campaign's targeting strategy.

Do I need HTML batch trackers and email thread data for comprehensive outreach analytics?▼

Comprehensive outreach analytics requires access to CSV files, HTML batch trackers, and potentially email thread data. These inputs provide the necessary performance dimensions to audit what is working and what is not across your campaigns.

How do I generate a pre-brief for my next outreach batch?▼

Generating a pre-brief for your next outreach batch involves running an analytics engine over previous campaign data. It evaluates historical performance to produce data-driven insights that inform strategic adjustments for future messaging.

Related Skills

Explore More Marketing & Sales Skills→
Teng-bioTeng-bio
2

tooluniverse-rnaseq-deseq2

Perform DESeq2 differential expression analysis on RNA-seq count data.

Community
Advanced
vruum-gtmvruum-gtm

campaign-doctor

Analyze outreach campaign funnel metrics and health scores to identify engagement root causes.

Official
Advanced
BenAIOSBenAIOS

win-loss-analysis

Analyze B2B sales win/loss patterns from CRM data and generate a .docx report.

Official
Advanced
danielpradilladanielpradilla

product-health-diagnostic

Compare product health metrics against targets and benchmarks to identify concerns.

Community
Advanced