Results for “revenue-estimates”

Query real-time and historical equity market data—prices, news, financial statements, metrics, analyst estimates, insider and institutional activity, SEC filings, earnings press releases, segmented revenues, stock screening, and macro interest rates. Use when you need broad public-market research from a single AIsa-backed skill. Use when: the user needs market data, stock analysis, dividend research, or read-only financial data workflows.

Revenue forecast from pipeline data with stage-weighted probability and sensitivity analysis

Analyzes sales pipeline health, revenue forecasting accuracy, and go-to-market efficiency metrics for SaaS revenue optimization.

Build financial projections, P&L statements, DCF models, and valuation analyses from assumptions and historical data. Use when the user requests financial modeling or provides relevant inputs for this workflow.

Use to quantify the revenue exposed by unresolved support failures, complaints and escalations without inflating the number. Trigger for "how much revenue is at risk", "what are these support failures costing us", "revenue behind our open escalations", building a business case for fixing a support problem, or a revenue-at-risk figure that looks too large to believe.

Plan and review paid-media budgets, bidding, pacing, marginal return, forecasts, CPA, ROAS, MER, LTV:CAC, constraints, and allocation across supported platforms.

Calculate and model paid-media financial metrics including CPA, CPL, CPC, CPM, ROAS, MER, break-even targets, contribution margin, LTV:CAC, impression-share opportunity, budgets, forecasts, and experiment economics.

Build a quarterly bookings forecast with commit, best-case, and pipe-only tiers, project cohort-level NRR/GRR to surface leaky cohorts, and score per-stage funnel confidence using coefficient-of-variation analysis.

Tracks revenue pipelines, monitors Stripe and analytics metrics, and automates financial reporting for SaaS businesses.

Provides revenue leadership frameworks for B2B SaaS companies, including forecasting, pricing strategy, sales model design, and team scaling.

Project estimation and time management for agent-orchestrated builds.

Build a scalable outbound B2B sales machine with specialized SDR, AE, and CSM roles, using Cold Calling 2.0, referral emails, ANUM qualification, and pipeline math to generate predictable revenue.

Build a rolling 30/60/90-day cash forecast from AR/AP aging and fixed outflows, flag floor breaches, and model liquidity levers.

Analyzes earnings-season implied volatility: historical IV crush, implied move forecast, IV Rank strategy tag, and a priced Iron Condor quote ready to trade.

Produce a 30/60/90-day cash-flow forecast from AR and AP with base/low/high confidence bands and shortfall alerts.

Compute fully-loaded cost-to-serve per channel, channel ROI under cash/LTV/marginal lenses, and optimal channel mix subject to strategic constraints for quarterly channel reviews.

Design and optimize revenue operations systems that connect marketing, sales, and customer success into a unified revenue engine.

Brainstorm 3-5 monetization strategies with audience fit, risks, and validation experiments for a product or feature.

Turn raw revenue data into a weekly or monthly wrap-up that drives action, not another dashboard screenshot. Position vs plan, what moved, the risks worth naming, and the specific next moves. Built for B2B revenue teams, customizable to your data and your cadence. Trigger on "write the revenue report", "how did we do this month", "revenue wrap-up", "are we on plan", "monthly number", or any revenue-recap request.

Comprehensive results analysis for empirical research: generate publication-quality descriptive statistics and balance tables, interpret regression coefficients with economic magnitude and effect sizes, assess identification assumption diagnostics, and produce structured results memos. Use when asked to create summary statistics, Table 1, balance tests, interpret results, assess economic significance, or write results narratives.

Revenue operations analyst specializing in pipeline health diagnostics, deal velocity analysis, forecast accuracy, and data-driven sales coaching. Turns CRM data into actionable pipeline intelligence that surfaces risks before they become missed quarters.

Estimate monthly burn rate from infrastructure signals and calculate payback period against revenue projections

Turn revenue reporting from a rear-view mirror into an operating rhythm. It narrates where you are against target, decomposes the variance by channel, reads your forecast for where you land, then adds an action layer of hot leads and deals to work now. Built for GTM teams reporting on ARR and bookings, customizable to your sheet and your metrics. Trigger on "weekly revenue wrap-up", "monthly revenue report", "how are we pacing", "revenue position", "forecast confidence", "run the weekly report", or any ARR, bookings, pipeline, or channel-performance review.

Designs revenue models, sets value-based price points, and creates referral loops to turn users into paying customers.

Rep Operating Standards — Canonical (Heath-set 2026-06-07)

Revenue leadership for B2B SaaS companies. Revenue forecasting, sales model design, pricing strategy, net revenue retention, and sales team scaling. Use when designing the revenue engine, setting quotas, modeling NRR, evaluating pricing, building board forecasts, or when user mentions CRO, chief revenue officer, revenue strategy, sales model, ARR growth, NRR, expansion revenue, churn, pricing strategy, or sales capacity.

This skill should be used when the user asks to "create financial projections", "build a financial model", "forecast revenue", "calculate burn rate", "estimate runway", "model cash flow", or requests 3-5 year financial planning for a startup.

Calculate SaaS revenue, retention, and growth metrics to diagnose momentum, churn, expansion, or product-market-fit signals.

PPC financial calculator and modeling tool. CPA, ROAS, CPL calculations, break-even analysis, impression share opportunity sizing, budget forecasting, LTV:CAC ratio analysis, and MER (Marketing Efficiency Ratio) assessment. Requires zero API access. Works with pasted data from exports. Use when user says PPC math, ad calculator, break-even, budget forecast, ROAS calculator, CPA calculator, impression share, LTV CAC, or MER.

Renders Markdown, HTML, or PDF paid-advertising reports from a validated Claude Ads JSON run bundle.

AI-powered financial analysis suite. Generates executive CFO briefings from QuickBooks exports (P&L, Balance Sheet, General Ledger, Cash Flow, etc.) with anomaly detection, burn rate, runway analysis, and scenario modeling. Also estimates codebase development costs with organizational overhead and AI ROI analysis. Triggers on: 'CFO briefing', 'financial analysis', 'cost briefing', 'expense review', 'runway analysis', 'burn rate', 'cost estimate', 'how much would this cost to build', 'development cost', 'Claude ROI'.

Weekly pipeline health analysis with velocity metrics, stage distribution, forecasting, and actionable recommendations

`analysis-agent`/`task-agent`/`review-agent`: use when latency, throughput, bundle, memory, CPU, query, rendering, or resource cost needs a budget; skip without performance risk.

Financial runway & unit economics tracker — burn rate, revenue trajectory, runway in months, scenario modeling

This skill calculates key financial ratios and metrics from financial statement data for investment analysis