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Layer 06 · Learn · Forecasting & Attribution

Forecast pipeline with a confidence range, not a guess.

Forecasting projects marketing-sourced pipeline and revenue from your own funnel behaviour and attribution data, shows the confidence band, and ranks the levers most likely to move the number.

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Forecast pipeline

$2.4M

Vs. target

108%+8%

Confidence

High
Projected vs. actual pipeline
Shaded range is the model's confidence band.
Forecasting — pipeline projection with confidence range and levers.

Overview

Planning fails when the forecast is a single number with no assumptions.

A flat annual target divided by twelve is not a forecast. It tells you nothing about whether this quarter is achievable, or what to change if it is not.

Helix builds projections from the funnel it already measures: traffic, identified accounts, ICP match rate, qualification rate, opportunity conversion, and deal velocity — each with your actual historical rates rather than industry averages.

The output is a range with stated confidence, a projected landing point against target, and a ranked list of levers with expected impact. When you change spend or content velocity, you can see the projected effect before you commit.

Business value

Range
Not a false single number

Confidence bands make the uncertainty explicit.

Your rates
Not industry benchmarks

Built from your funnel's measured conversion behaviour.

Ranked levers
What to change first

Actions ordered by expected pipeline impact.

Scenarios
Model before you spend

Test budget and velocity changes against the forecast.

Key capabilities

What you actually get.

Pipeline projection

Forward pipeline and revenue with an explicit confidence interval.

Target pacing

Projected landing point against quarterly and annual targets.

Funnel-rate modelling

Uses your measured conversion rates at every funnel stage.

Scenario planning

Adjust spend, targeting, or content volume and see projected effects.

Lever ranking

Actions sorted by expected impact, with the reasoning shown.

Revenue attribution link

Shares one dataset with attribution, so forecast and history agree.

Visual workflow

How Forecasting & Attribution runs, step by step.

Where this sits in the wider Helix lifecycle:

  1. Visitor
  2. Company Identification
  3. Visitor Intelligence
  4. ICP Matching
  5. Lead Qualification
  6. Behavior Tracking
  7. AI Analysis
  8. Marketing Intelligence
  9. Revenue Intelligence
  10. Recommended Actions
  11. Campaign Orchestration
  12. Human Approval
  13. Execution
  14. Revenue Attribution
  15. Forecasting
  16. Memory Engine
  17. Continuous Learning
  1. Step 1

    Funnel rates measured

    Conversion at every stage from visitor to closed won.

  2. Step 2

    Current pipeline valued

    Open accounts and opportunities weighted by stage and velocity.

  3. Step 3

    Projection generated

    Forward pipeline modelled with a confidence range.

  4. Step 4

    Levers ranked

    The changes most likely to close the gap to target are surfaced.

  5. Step 5

    Accuracy reviewed

    Forecast versus actual is tracked so the model is held accountable.

Grounded in attribution

The forecast and the history come from the same numbers

Because attribution is account-level and joined to your CRM, the forecast inherits real economics instead of assumed ones.

  • Same qualified-account definition across the product
  • CAC and payback feed scenario modelling
  • Forecast accuracy tracked over time
  • Assumptions visible and adjustable

Attributed pipeline

$1.84M+31%

Closed-won

$612K+14%

Blended CAC

$3,180-11%
Pipeline by first-touch channel
$1.84MPipeline
  • Organic46%
  • Paid24%
  • AI search18%
  • Referral12%
  • Organic
  • Paid
  • AI search
  • Referral
Revenue Intelligence — multi-touch attribution across the buying journey.

FAQ

Forecasting & Attribution questions, answered.

How can a forecast be trustworthy?
By being honest about uncertainty. Helix shows a confidence range rather than a single number, and shows which inputs drive it, so you can judge the assumptions yourself.
How much history do you need?
Early forecasts lean on funnel conversion rates and are wide. As account and deal history accumulates, the range narrows and the model uses your own conversion behaviour.
Can I model scenarios?
Yes. Adjust spend, targeting, or content velocity and see the projected effect on pipeline before committing budget.
Does it replace sales forecasting?
No. It forecasts marketing-sourced pipeline and revenue contribution, which complements the deal-by-deal forecast your sales team runs in the CRM.

Related integrations

Connects to the stack you already run.

Helix reads what it needs and writes only where you allow it.

CRM

  • HubSpot
  • Salesforce
  • Pipedrive

Spend

  • Google Ads
  • LinkedIn Ads
  • Microsoft Ads

Reporting

  • CSV export
  • Warehouse export
  • Scheduled digests

Related features

Where to go next.

Layer 03 · Understand

Revenue Intelligence

Connects marketing activity to pipeline and closed revenue, so budget arguments end with a number instead of an opinion.

Explore

Reporting

Executive Dashboard

One screen and one weekly brief in plain English: what changed, what it produced, and what Helix is doing about it next.

Explore

Foundation

Memory Engine

The persistent brain: your Strategic DNA, every experiment, every approval and rejection, every outcome — reused on the next decision.

Explore
  • Human approval by default
  • Full audit trail
  • GDPR & CCPA aware

Know whether this quarter is achievable — before it ends.

Connect your CRM to generate your first pipeline projection.

14-day free trial. No credit card required.