Building revenue growth forecasting models using HubSpot subscription data

using Coefficient excel Add-in (500k+ users)

Build sophisticated revenue growth forecasting models with HubSpot subscription data. Create predictive models that incorporate churn rates and growth trends.

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HubSpot’s basic forecasting only shows deal pipeline projections and can’t model subscription renewals, churn rates, or cohort-based revenue patterns. For accurate growth forecasting, you need models that incorporate historical trends and subscription-specific metrics that HubSpot simply can’t calculate.

Here’s how to build sophisticated revenue growth forecasting models using your HubSpot subscription data in spreadsheets where advanced modeling actually works.

Create predictive revenue models with live HubSpot data using Coefficient

Coefficient pulls comprehensive subscription data from HubSpot into HubSpot spreadsheets where you can build forecasting models that incorporate growth rates, seasonal trends, and churn patterns. This gives you the historical foundation and live data needed for accurate revenue predictions.

How to make it work

Step 1. Import comprehensive subscription data.

Connect to HubSpot and pull deals, contacts, and custom subscription properties including renewal dates, contract values, and churn indicators. Import historical data to establish baseline patterns and current pipeline data for forward-looking projections.

Step 2. Build historical revenue baselines.

Use Coefficient’s Snapshots feature to capture monthly revenue data at regular intervals. This creates the historical foundation needed for accurate forecasting by preserving revenue data points over time, even as your live HubSpot data continues updating.

Step 3. Create predictive forecasting formulas.

Build spreadsheet-based models that incorporate growth rates, seasonal trends, and churn patterns using functions like FORECAST, TREND, and custom weighted averages. Create scenarios for different growth rates and model how changes in churn affect future revenue projections.

Step 4. Automate model updates and accuracy tracking.

Schedule daily data refreshes to continuously update your forecasting model with new subscription data from HubSpot. Set up automated alerts when variances between predicted and actual revenue exceed defined thresholds, helping you refine your model accuracy over time.

Transform your revenue planning process

Building revenue growth forecasting models with live HubSpot data gives you the predictive insights needed for strategic planning and investor reporting. With automated updates and historical trend analysis, your forecasts become more accurate and actionable. Start building better revenue forecasts today.

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