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Your clients already have dashboards. What they need from you is an answer.

Pangolin gives agencies MMM-based evidence for budget recommendations, scaled across the client book, without needing an in-house data science team.

CLIENT SPEND DATA Retailer Brand A SaaS Enterprise B DTC Apparel C
BAYESIAN ENGINE Continuous MMM Model Automatic calibration for seasonality, baseline shifts & latency
AGENCY ACTIONABLES Incrementality Proofs Optimal Budget Mix Ready-to-Present QBRs
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The Evidence Deficit

Defending recommendations with proof, not opinion

Clients ask agencies to justify budget recommendations with rigorous evidence. Building that evidence in-house, per client, with manual spreadsheets or one-off consultancies doesn't scale past a handful of accounts, and is often stale before it is even presented.

Continuous Delivery

Scaled MMM across your client book

Pangolin runs continuous Bayesian MMM per client account, so you can generate contribution-based recommendations across your book without a dedicated data science function.

01Plan with CertaintyRun continuous scenarios on client-specific curves. Instantly model 'what-if' shifts to defend media plan proposals before client check-ins.
02Present Co-Branded EvidenceReplace endless ad-network dashboard reconciliations. Export clean, white-labeled client materials illustrating true incremental revenue.
03Execute & Refine WeeklyAutomated integrations ingest daily spending and returns. The model updates automatically on Monday mornings to keep retention curves fresh.
The Standard Comparison

Designed specifically for agency operations

How Pangolin compares to traditional alternatives for validating marketing spend across client books.

vs. In-House Data Teams

Hiring, onboarding, and retaining data scientists per client eats your margins. Pangolin automates Bayesian math out-of-the-box so account managers run client models natively.

vs. One-Off Projects

Traditional consultant models are stale before QBRs. Pangolin continuously recalibrates your client models weekly so recommendations fit the current retainer.

vs. Ad Network Attribution

Stop relying on self-attributed platform numbers that double-count conversions. Prove true incremental lift with independent, unbiased statistical modeling.

Agency Growth Outcomes

Strengthen client trust and retain retainers longer

Pangolin turns scientific measurement into your strongest commercial tool.

Answer 'Where should the next pound go?'Provide client teams with precise, mathematical proofs on marginal performance limits during every QBR.
Scale MMM without HeadcountDeliver enterprise-grade modeling across your entire roster without building or managing complex code pipelines.
Defend and Grow RetainersMake your agency's media recommendations difficult to second-guess with independent validation layers.
Agency FAQ

Frequently Asked Questions

How does this work across multiple client accounts?

Pangolin supports multi-workspace management natively. You can create independent workspaces for each client, maintaining strict data partitioning, while giving your agency team unified visibility.

Can we present Pangolin's output as our own analysis to clients?

Yes. White-label and co-branded options are available on request.

Does this require each client to have clean historical data?

Our Bayesian model is designed to handle limited history gracefully, using prior probabilities. While 12 to 24 months of data is ideal, Pangolin can formulate useful outputs using far shorter history benchmarks, however confidence intervals will be greater.

How much of the model set-up is our team responsible for, versus Pangolin?

Pangolin automates the Bayesian modelling out of the box, so your account managers run client models without needing to build or maintain the underlying statistical pipeline themselves.

Can we bill or position this as part of our own retainer, rather than a tool clients see directly?

Yes, the recommendations and reporting are designed to sit inside your existing client relationship and retainer structure, as evidence behind your team's recommendations, rather than as a separate tool your clients log into themselves.

Stop guessing. Start proving where the next pound should go.

Free consultation for brands spending >500k / month.