sales-forecasting

name	sales-forecasting
displayName	Sales Forecasting
tagline	Generate accurate sales forecasts based on pipeline data, historical trends, and win rates.
description	Produces revenue forecasts by analyzing CRM pipeline data, historical close rates, seasonal trends, and deal velocity. Provides best-case, worst-case, and most-likely scenarios. Highlights risks to forecast accuracy and recommends pipeline coverage targets.
department	["Sales","Revenue Operations","Finance"]
use_cases	["Revenue Forecasting","Pipeline Analysis","Sales Planning"]
tools_required	["HubSpot MCP","Salesforce MCP"]
agents_compatible	["Claude / Claude Code","Cursor","Windsurf","ChatGPT","Any MCP-compatible agent"]
author	Webrix
verified	true
updatedAt	"2026-05-08T00:00:00.000Z"
version	1.0.0
exampleInput	Forecast Q3 2026 revenue based on current pipeline and historical win rates. Include scenario analysis (best/worst/likely).
exampleOutput	Sales Forecast — Q3 2026 SCENARIOS Best Case: $2.1M (pipeline * optimistic win rates) Most Likely: $1.5M (pipeline * historical win rates) Worst Case: $980K (pipeline * conservative win rates) PIPELINE COVERAGE Target: $1.8M Coverage: 3.2x (healthy: >3x) At Risk: $320K (5 deals with declining engagement) HISTORICAL WIN RATES Enterprise: 28% | Mid-Market: 35% | SMB: 42%

Sales Forecasting

Generate accurate sales forecasts based on pipeline data, historical trends, and win rates.

Integrations: HubSpot, Salesforce

When to Use

• Leadership needs revenue projections for upcoming quarters
• The user wants to assess pipeline health and coverage
• The user mentions "forecast", "revenue projection", or "pipeline coverage"

Steps

Step 1: Gather Pipeline Data

Pull all open deals with stage, value, close date, and engagement metrics.

Step 2: Apply Historical Win Rates

Calculate expected revenue using historical conversion rates by segment.

Step 3: Generate Scenarios

Produce best-case, worst-case, and most-likely revenue scenarios.

Step 4: Identify Risks

Flag deals with declining engagement or overdue close dates.

Output

Deliver:

• Three-scenario revenue forecast
• Pipeline coverage analysis
• Risk assessment with recommended actions