Can you trust the number behind your next £1m marketing decision?

Pangolin gives you an independent, continuously updated view of what media spend actually contributes, so budget decisions are based on evidence, not on whichever platform's dashboard looks best this month.

See the numbers behind your budget

INDEPENDENT FINANCE GRADE ATTRIBUTION

Total Annual Ad Spend Reconciliation (Example Portfolio)

Self-Reported Platform ROI 10.4

Modelled Incremental ROAS 5.7

Unreconciled Double-Count £460,000

The Revenue Transparency Gap

Marketing platforms grade their own homework

Performance reports typically rely on parameters generated directly by self-interested ad platforms. Approving a marketing budget on this basis is a critical fiduciary risk.

Independent Data Pipeline

Bayesian Math over Agency Guesswork

01Weekly Bayesian ModelingPangolin runs an independent model on actual transactional inputs rather than cookies, updated automatically on a continuous rolling basis.

02No More Hidden AssumptionsWe present realistic confidence bounds rather than single point estimates. Verify the risk profile of every forecasted channel optimisation before committing capital.

03One Shared NumberEnsure finance and marketing operate from a single source of truth. Alleviate political budget debates with raw mathematical contribution tracking.

Capital Allocation Efficiency

The cost of getting attribution wrong

Periodic Consulting MMM

Delivers massive retrospective slide decks 3-6 months after campaigns end. High manual cost, static assumptions, and entirely stale by delivery.

Pangolin Pipeline

Active integration feeding spend directly to a live Bayesian engine. True marginal efficiency updates weekly, enabling strategic planning in real time.

Executive Clarity

Frequently Asked Questions

Do I need to trust a 'black box'?

No. Unlike black-box tracking tools, the mathematical formulas, inputs, and assumptions used by our Bayesian engine are completely transparent. We display full uncertainty levels, not made-up deterministic ROI numbers.

How is this different from a marketing dashboard?

A dashboard simply pulls in self-reported platform metrics that overlap and double-count. Pangolin models incremental sales on top of organic baselines, stripping away statistical noise.

What data does finance need to provide to get started?

Historical daily sales and ad spend data - we pull this straight from platforms - ideally 12 to 24 months, is what the model needs to separate organic baseline from incremental marketing contribution. No platform-side tracking or pixel data is required.

Understand what marketing levers really drive profitability

Free consultation for brands spending >500k / month.