ironclaw-pipeline-analyticsGenerate interactive analytics dashboards from CRM data. Use when asked to "show pipeline stats", "create a report", "analyze leads", "show conversion rates"...
Install via ClawdBot CLI:
clawdbot install aspenas/ironclaw-pipeline-analyticsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
A sales manager in a B2B SaaS company wants to monitor the current state of the sales pipeline to identify bottlenecks and forecast revenue. They ask the AI to generate a funnel chart showing lead progression from new to closed won, along with a donut chart breaking down lead sources to assess marketing effectiveness. This helps prioritize follow-ups and allocate resources efficiently.
A marketing analyst at a startup needs to evaluate the performance of different outreach channels like LinkedIn and email. They request an area chart visualizing message volume over time and a bar chart comparing reply rates by channel. This analysis informs budget decisions and strategy adjustments to improve engagement and conversion rates.
A business development lead in a consulting firm seeks to understand conversion rates by lead source and time-to-convert metrics. They ask for a bar chart showing conversion rates per source and a line chart tracking conversion trends week-over-week. This helps refine targeting efforts and optimize the sales process for faster deal closures.
A sales director in a multi-user environment wants to assess individual rep performance. They request bar charts comparing leads contacted, reply rates, and conversions per rep, along with a scatter plot analyzing activity volume versus conversion rate. This supports coaching, incentive planning, and team productivity improvements.
A product manager at a subscription-based company aims to analyze user engagement by cohort based on signup week. They ask for a heatmap-style visualization of conversion rates over time and line charts showing retention curves. This identifies high-performing cohorts and informs retention strategies and product enhancements.
Companies offering software-as-a-service to businesses use this skill to track lead funnels, monitor sales pipeline health, and optimize marketing campaigns. It helps in forecasting revenue, improving conversion rates, and making data-driven decisions to scale subscription revenue efficiently.
Agencies managing client outreach campaigns leverage this skill to visualize campaign performance, analyze reply rates by channel, and report on lead generation metrics. It enables real-time insights for client reporting, budget allocation, and strategy refinement to drive client ROI.
Consulting firms use this skill to analyze lead sources, track conversion timelines, and assess sales team effectiveness. It supports data-backed recommendations for clients, improves internal sales processes, and helps in targeting high-value opportunities to increase service revenue.
💬 Integration Tip
Ensure DuckDB workspace data is properly structured with pivot views (v_*) and fields are correctly mapped to SQL queries for accurate chart generation.
Scored Jun 19, 2026
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