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.

The Challenge

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

What's Included

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

Why It Matters

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

The Process

How pipeline analytics works

01

Audit 3-12 months of pipeline data

02

Calculate conversion rates by stage

03

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

04

Identify bottleneck stages

05

Build forecast model

06

Monitor and refine month over month

Best For

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

FAQ

Frequently asked questions

With good data and consistent process: 80-95% accurate. Depends on forecast horizon (next month more accurate than next quarter).

That's the problem. Analyse why—unstable process, inconsistent qualification, or external factors. Analytics reveals the pattern.

Minimum 3 months, better is 6-12 months. More data = better patterns and accuracy.

Yes. If pipelines have common characteristics (deal size, stage, timeline), we can identify which ones are high-risk and intervene.

Can't find the answer you're looking for? Get in touch

Ready to get started with pipeline analytics?

We can help you implement pipeline analytics and start seeing results. Book a consultation to discuss your specific needs and explore how this service can transform your business.