Revenue intelligence

Which channels are actually earning pipeline credit, and which ones just tell the best story?

dbt Multi Touch Attr turns marketing touches, journey windows, and revenue-credit outputs into one inspectable attribution surface so Growth, RevOps, and finance can challenge model logic before spend decisions harden.

Overview Model lane Journey credit Verification Docs

Touches9Journey rows participating in the current attribution view.

Opportunities3Pipeline records with modeled channel-credit output.

Channels6Distinct acquisition or influence lanes in the sample estate.

Models3Different credit strategies exposed for audit and comparison.

Pipeline credit$86,000Revenue credit allocated across modeled channel paths.

Board takeaway

Where to raise the bar

Keep attribution logic in reviewable SQL so Growth and RevOps can compare model outcomes before they turn channel spend into false certainty.

Highest quality touch

Helio Systems

direct at day -1 with session quality 95. This is the clearest signal that inspectable paths matter more than summary charts.

Model lane

stagingstg_marketing_touches.sql · Normalize campaign, source, and session-quality signals into a single touchpoint contract.
intermediateint_journey_windows.sql · Window and order touches so attribution models can reason about first, last, and assisted influence.
martfct_multi_touch_credit.sql · Materialize revenue credit per opportunity, channel, and model in a reviewable fact table.

From attribution data to defensible revenue decisions.

This is the product layer behind the demo: not another attribution screenshot, but a reviewable evidence path for commercial decisions.

Product depth

What this product does

Turns marketing touch data, journey windows, and revenue-credit outputs into an attribution control plane that Growth, RevOps, and finance can inspect before budget changes are made.

GTM analyst lens

Where revenue teams use it

Use it when channel performance is disputed, paid spend is moving, partner influence is overstated, or lifecycle touches need defensible credit instead of dashboard mythology.

Value architecture

Where the money leaks

The leak is not just bad attribution. It is budget reallocations, CAC narratives, partner commissions, and pipeline forecasts based on credit logic that cannot be traced back to real touches.

Technical proof

What is inspectable

The repo includes dbt-style staging, intermediate, and mart SQL assets, TypeScript scoring logic, JSON outputs, prerendered routes, tests, smoke checks, and screenshot evidence.

Portfolio pattern

What these repos have in common

Each Kinetic Gain surface converts messy operational evidence into board-readable decisions: owner, signal, model, risk, value, route, and verification all stay visible together.

Revenue-credit snapshot

Use the preview table to compare channel influence by model instead of relying on one attribution answer that nobody can inspect.

Account	Model	Channel	Credit	Revenue	Rationale
Northstar Health	u-shaped	organic-search	40%	$11,200	Organic search opened the journey and proved durable intent.
Northstar Health	u-shaped	linkedin-paid	20%	$5,600	Mid-journey paid influence accelerated re-engagement but did not close the deal.
Northstar Health	u-shaped	email-nurture	40%	$11,200	Nurture owned the final high-intent touch before sales action.
Meridian Cloud	linear	paid-search	33.3%	$5,328	Paid search created the first attributable session.