Forward Revenue:
The last unaudited number in M&A

Pipeline forensics detects 20-30% systematic overstatement in growth-stage pipelines -
invisible to management, CRM dashboards and regular due diligence

QoE validates the past.

The forecasts that drive your multiple remain unaudited.

QoE validates history.

The forward revenue forecast - the number that actually determines your entry multiple - receives no empirical scrutiny at all.

If your multiple is built on forward revenue, a substantial share of your entry valuation is built on fiction.

The pipeline forecast is the last unaudited number in M&A.  Funnel-IQ detects where they are overstated

Pipeline Forensics:
QoE for Forward Revenue

The empirical discipline that QoE applies to the past... applied to the future

Forensic,
not opinion

All findings traceable to source data

We reconstruct 12-36 months of deal evolution to reveal patterns invisible to quarterly reporting

Empirically validated

90%+ confidence intervals throughout

Every diagnostic is back-tested against known outcomes before being applied to live situations

Audit-grade evidence

Complete statistical audit trail

Excel data export accompanies every report for independent verification

QoE-compatible format for seamless integration

Who uses pipeline forensics?

PE & VC investors

"Can I trust these forecasts?"

Forward revenue determines your multiple — yet it's the one number in every deal that's never empirically validated. Pipeline Forensics detects systematic overstatement before you commit capital.

Zombie leads quantified. Conversion rates recalibrated against empirical reality. Pipeline value waterfall with confidence intervals.

Validated pipeline vs growth claims. Deal velocity adequacy and time-to-close sensitivity.

Negotiation opportunities ranked by value and statistical confidence — with evidence portfolio and counter-responses to management claims.

Risk concentrations identified for targeted contractual protection.

Delivered as a QoFR (Quality of Forward Revenue) report - designed to integrate with QoE documentation and DD timelines

Portfolio teams

Empirical intelligence your board can act on

Whether you're detecting early deterioration or unlocking unrealised revenue, Pipeline Forensics provides the empirical evidence to act - months before it shows in financials.

Early warning:

Systematic bias trending reveals revenue deterioration while you can still intervene.

Segment-level forensics distinguish systemic underperformance from random variance.

Down-round risk assessed using forward revenue projections with 90%+ confidence intervals.

Value recovery:

Over-forecast segments and underperforming reps identified with statistical significance.

Resource-reallocation scenarios quantified: revenue bridge from current to optimised state.

EV bridge at exit multiple: typical EBITDA uplift potential over 3-year hold.

Delivered as operational analysis with implementation roadmap, evidence trail and Excel export for verification.

Advisory partners

Differentiate your DD with forward-revenue validation

QoE validates historical revenue - it's table stakes. Pipeline Forensics adds the dimension your competitors don't offer: empirical validation of the forward revenue that determines multiples.

QoFR report formatted for seamless integration with QoE documentation.

Complete statistical audit trail with Excel export for independent verification.

Flexible delivery: white-label, co-branded, or direct to your client - whatever suits the relationship.

We are open to referral and co-delivery arrangements. Start with a conversation.

Pipeline Health Check

Does your portfolio exhibit any of these symptoms?

Deals repeatedly slip quarters

Win rates over 70%, yet revenue misses targets

High-probability deals stall for months – and then die

Deal values fall by 30%+ from initial forecast

If so, our pipeline forensics will reveal the root causes and quantify the hidden cost.

Ready to see what your pipeline is really worth?

Share your situation.  We'll respond within 24 hours.
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FAQs

How quickly can you analyse during Due Diligence?

Usually within 48 hours of receiving the data.

What data do you need?

Ideally 12-18+ months of CRM snapshots, but useful patterns emerge even from partial archives.

What if our CRM data is messy?

We work with whatever data you have. Even partial snapshots reveal patterns. We'll assess your data upfront so you can decide.

How do you handle confidential data?

We anonymise on receipt; data never leaves our encrypted environment.

Does this require extra work from our sales team?

Minimal. Recommendations fit existing processes.

How is this different from CRM analytics?

CRM tracks today's status. FunnelIQ analyses historical evolution to uncover bias – patterns your CRM cannot see.

What is "phantom revenue"?

The statistical gap between forecast and probable revenue. If management forecasts £10m but patterns show £7m probable, we've identified £3m of phantom revenue.

How do you prove ROI?

We back-test our diagnostics against known outcomes. This proves our identification of overstatement and undervaluation in current pipelines.

Can you analyse non-English language pipelines?

Absolutely. Our forensics are language- and currency-independent.

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Pipeline forensics for smarter investments

Contact: enquiries@funnel-iq.com   |   © 2024 Funnel IQ Limited