Decoupled Revenue Projections

Retention and Expansion Forecasting

Stop collapsing your revenue pipeline into a single, averaged customer health score. BaseDynamics deploys separate predictive models to forecast your renewal and growth with greater accuracy.

Decoupled Revenue ForecastingQuarter-Close Gap IsolationAuto-Correcting Projections

Stop blending your forecast, try BaseDynamics

Stop blending retention and expansion into one score.

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How the Forecasting Engine Operates

Decoupled Revenue Modeling

Our engine separates retention likelihood from expansion indicators, recognizing that renewal and growth are driven by entirely different customer activities.

Retention Likelihood Tracking: Evaluates a customer's baseline adoption by calculating early user onboarding velocity, ongoing feature adoption, and active support transcript sentiment.

Expansion Potential Tracking: Evaluates account growth by monitoring live application limits, headcount expansions, and external events pulled into the customer knowledge graph.

Eliminate Blurred Averages: Removes the flaw where a stable account with zero growth headroom and a chaotic account hitting system limits get assigned identical, blended metrics.

Active agent cards for activation, retention, and expansion

Quarter-Close Gap Analysis

BaseDynamics enables RevOps and leadership to move past statistics alone with no live signals, empowering teams to actively fix quarter-close shortfalls.

Isolate Saveable Revenue: Automatically runs portfolio gap analysis to identify exactly which at-risk accounts have high-probability playbook remedies available.

Prioritize Commercial Pipelines: Signals teams precisely which accounts have verified data proof of feature adoption, making them primed for expansion conversations.

Reverse-Engineer Revenue Commitments: Tracks team execution and workflow velocity to show leadership exactly how many active playbooks need to hit the committed numbers.

Retention signal with a recommended executive health-check

Self-Correcting Data Logic

The platform ensures your financial revenue modeling stays accurate across changing customer behavior and product conditions.

Dynamic Data Calibration: Automatically monitors forecasting models, initiating an independent algorithmic recalculation the moment overall system predictive precision drops below 75%.

Segment-Level Tracking: Tracks NRR and GRR projections across your portfolio, letting you filter revenue forecasts by customer tier, lifecycle stage, or specific product modules.

Portfolio table of accounts with segment, events, and sentiment

Platform Value & Macro Outcomes

Eradicate the RAG Color Code Forecasting Trap

Traditional models fail fast-growing AI companies, forecasting off lagging color boxes. BaseDynamics grounds projections in live customer friction and engagement, delivering numbers you can defend to your board.

Institutionalize Your Post-Sales Revenue Pipeline

The majority of an AI company's new revenue is won after the initial contract. BaseDynamics gives commercial and ops leaders the data-backed visibility to eliminate churn, protect recurring revenue and accelerate growth.

Confidently Defend Your Investment

Every quarter, CS executives face pressure to justify platform spend and headcount. Our forecasting engine keeps a revenue attribution ledger, documenting how human execution and autonomous agents moved your NRR and GRR.

Got questions?

A stable account with no growth headroom and a fast-growing account approaching its limits look nothing alike in reality, but a single blended score would treat them the same. Decoupling the two models keeps renewal risk and expansion potential accurate and actionable on their own terms.

The system continuously monitors its own predictive precision and triggers an automatic recalculation the moment accuracy drops below 75%, rather than waiting for a scheduled quarterly review.

Yes. Forecasts can be filtered by customer tier, lifecycle stage, or specific product module, so RevOps and leadership can see exactly where the number is coming from, not just the portfolio-wide total.