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Sales Forecasting & Revenue Analysis

Mage helps sales operations teams unify CRM, transactional, and operational data to produce accurate, reliable forecasts and revenue insights.

The reality inside most revenue teams

Forecast calls are rarely about strategy. They’re about defending numbers.

  • Why did this opportunity move?

  • Why doesn’t finance match sales?

  • Why did last month’s forecast shift?

The issue usually isn’t forecasting logic — it’s fragmented data. CRM reflects pipeline intent. Billing reflects reality. Product usage tells a different story altogether. Each team trusts a different system.

Reconciliation becomes a weekly ritual.

Why this is harder than it looks

Forecasting isn’t just summing opportunities. It requires:

  • Clean opportunity stages

  • Accurate historical close rates

  • Current contract and billing data

  • Adjustments for churn and expansion

  • Operational context from product usage

And these rarely live in one place. Dashboards built on partial data create more debate, not less.

What changes with Mage

Mage orchestrates CRM, billing, and operational systems into a reliable forecasting pipeline — one that runs continuously, not manually.

Instead of reconciling data in spreadsheets, teams build workflows that:

  • Ingest CRM opportunity updates

  • Join against billing and invoicing records

  • Normalize account hierarchies

  • Calculate rolling conversion and churn-adjusted forecasts

  • Deliver clean datasets to BI tools or leadership dashboards

The output isn’t just a number. It’s a number everyone trusts.

What this means in practice

  • Forecast meetings shift from defending data to discussing strategy

  • Pipeline risks are flagged before end-of-quarter surprises

  • Finance and sales work from the same source of truth

  • Revenue projections update automatically as inputs change

Confidence replaces guesswork and changes how leaders operate.

Why marketing & sales teams choose Mage

Aligns marketing and sales insights

Ensure teams operate from shared data.

Automates reporting workflows

Reduce manual data preparation and reconciliation.

Unifies campaign, CRM, and revenue data

Create a consistent view of the customer journey.

Improves attribution & performance analysis

Deliver reliable metrics for decision-making.

Supports analytics and growth modeling

Provide clean datasets for forecasting and optimization.