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Deep dive into sales pipeline to forecast accurately and identify improvement opportunities.

Pipeline analytics reveals patterns in deal progression, conversion rates, and bottlenecks. We build models to forecast revenue accurately, identify stages where deals get stuck, and recommend improvements to accelerate closes.

Pipeline analytics is the analysis of sales pipeline data, stage-to-stage conversion rates, how long deals spend at each stage, and where they get stuck, used to forecast revenue more accurately and pinpoint the bottlenecks slowing deals down. It’s one function of Revenue Intelligence within your Growth Hub , part of a connected back office.

Common problems we solve

Pipeline in CRM but nobody trusts the forecast

Deals slip every month, forecast is worthless

No visibility into stage-to-stage conversion rates

Don't know which stages are bottlenecks

Financial planning impossible due to forecast unreliability

Here's what you receive

Pipeline Data Audit

Analysis of 3-12 months of pipeline history for patterns

Conversion Rate Analysis

Stage-to-stage conversion rates and deal velocity

Bottleneck Identification

Stages where deals get stuck or progress slows

Forecast Model

Algorithm to predict revenue based on pipeline composition

Improvement Recommendations

How to improve conversion and cycle time based on analysis

How it works

Most SMEs have no idea if their pipeline predicts actual revenue. They hope. Pipeline analytics removes hope, you know what to expect based on actual conversion patterns. This confidence in forecasting changes how you manage business.

Accurate revenue forecasting

Identify bottleneck stages slowing deal progression

Optimise sales process based on data

Predict cash flow with confidence

Early warning on pipeline gaps

Make better decisions about hiring and resources

How pipeline analytics works

Audit 3-12 months of pipeline data

Calculate conversion rates by stage

Model cycle time (how long deals stay in each stage)

Identify bottleneck stages

Build forecast model

Monitor and refine month over month

Who this service is ideal for

Sales teams with 3+ months of pipeline data

Businesses wanting accurate revenue forecasts

Companies with complex sales cycles

Leadership teams needing confidence in projections

Frequently asked questions

The short answers are here. For anything else, ask below or get in touch.

With good data and a consistent process, forecasts become considerably more reliable, and accuracy improves as the model is calibrated against your own results. It also depends on horizon (next month is more predictable than next quarter).

Ready to get started with pipeline analytics?

We can help you implement pipeline analytics and start seeing results. Talk to an advisor about your specific needs and how this service would fit your business.