How Do You Forecast Pipeline from Lead Generation Inputs?

Forecasting pipeline from lead generation inputs is about turning data into revenue visibility.

If you know how many leads you’re bringing in, you should be able to predict future sales.

The trick is to use the right conversion assumptions and keep refining them.

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Steps to Forecast Pipeline

1. Track Lead Volume
   Start with how many qualified leads are entering your funnel per week/month.

2. Define Lead Quality
   Not all leads are equal. Separate marketing-qualified (MQLs) from sales-qualified (SQLs).

3. Apply Conversion Rates
   Look at historical data:

• MQL → SQL %

• SQL → Opportunity %

• Opportunity → Closed-Won %

4. Add Average Deal Value
   Multiply opportunities by your average contract size or sale value.

5. Project Pipeline
   Leads × conversion rates × deal value = forecasted pipeline.

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Example

• 500 MQLs per month

• 40% become SQLs = 200

• 25% become opportunities = 50

• 20% close = 10 wins

• Avg. deal = £10,000

Forecasted pipeline = £100,000 per month.

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Where Fatrank Helps

Most teams struggle with forecasting because their inputs aren’t predictable. If your leads are low intent, forecasts collapse.

Fatrank solves this by delivering exclusive, high-intent leads on a commission-only, pay-on-performance model. That means your inputs are consistent and your forecasts reliable.

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Quick Takeaway

Forecasting pipeline from lead generation inputs is just math. The challenge is getting quality inputs. Without that, forecasts are fantasy. With Fatrank, you get guaranteed ROI lead generation — so your numbers actually add up.

👉 www.fatrank.com

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