Data POEM
CAUSAL CLARITY

SEE EXACTLY WHAT’S DRIVING THE BUSINESS.

Get one unified causal view that shows WHY the business grows or shrinks. See every internal and external growth driver from enterprise to granular level decisions, across every time horizon.

get in touch
get in touch
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Why are we growing (or losing)?

Until now, no single model could answer:

  • Marketing says the campaign. They have an MMM to prove it.
  • Sales says the distribution wins. They have the data.
  • Finance says pricing. The margin numbers confirm it.
  • Trade says the promo calendar. Lift studies back it up.
  • Strategy says the category was up. Macro data supports it.

This isn’t a people problem.
It’s a math problem.


Each team’s correlation model can only analyze one function at once – they were never built to unify all the data.

POEM635 is different.


It’s built on causal inference, not correlation.
One complete answer – clearly broken down into cause and effect.


understand what drives your business

From the enterprise P&L down to the individual tactic. Every driver is connected in one model that shows you exactly what caused your business to move.

One unified growth decomposition


See what's actually driving growth across the entire business as one connected system. Every driver, every interaction, every offset. One view. No reconciliation.

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Cross-functional interaction effects


See how pricing ripples into trade, how distribution gains amplify marketing ROI, how competitive moves reshape your landscape. These interactions are where data can be misread — and where unseen value lives.

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Enterprise to tactic — one drill-down


Start at the P&L. Drill into a brand, region, channel, or tactic. Every altitude is connected by the same causal truth. No more "the brand model says X but the enterprise model says Y."

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Causal scenario simulation


What happens if you raise price 3% and the competition follows? What if you shift $15M from broadcast to retail media? What if interest rates climb 100bps? The model simulates what would happen based on cause and effect.

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True incrementality for every driver


The model separates what was truly incremental from what would have happened anyway. No more crediting the campaign for sales that were already coming. No more blaming the price increase for losses driven by the competitor.

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Continuously learning — always current


New data flows in. The model sharpens. Annual truths become quarterly insights become weekly recalibrations. Same model. Same truth. Never stale.

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How the model shows the causation of growth and loss

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HOW your model is built

THE FOUNDATION

THE ENGINE

THE MODEL


Powered by a pre-trained model that already understands the deep patterns of how enterprise growth works and fine tuned to your business.

Faster to value. Deeper accuracy. One model that holds everything.

Fount: Large Causal Architecture


Unlike traditional models which rely on correlation, Fount is built upon causal inference — the mathematical framework pioneered by Judea Pearl. It provides a formal system for identifying what causes what, how causes interact, and what would happen under conditions that haven't been observed.

POEM365: a pre-trained Large Causal Model


POEM365 is built upon Fount’s architecture. It’s a transformer-based causal model trained on hundreds of billions of transactions across industries, categories, and markets. It already holds deep causal intelligence about how growth drivers behave and interact across enterprises.

Your model: tailored to your enterprise



The model then ingests your custom data on media, pricing, trade, distribution; as well as your competitive landscape, retail environment, and macro conditions.


It’s becomes is your customized model built for your business. Your causal truth.

What Lives Inside the Model

Four layers of growth drivers. One causal structure. Every driver interacts with each other.

Internal Growth Drivers

Competitive Dynamics

Retail & Channel Environment

External & Macro Factors

How the Layers Connect

POEM365 is built on causal inference which is what makes unification possible – unlike models that are built on correlation. This is essential because growth doesn't happen in isolated layers. It happens across layers simultaneously.

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  • Price change
  • affects trade sensitivity
  • affects promotional effectiveness
  • affects competitive response
  • affects share dynamics
  • affects retailer behavior

HOW IS THIS DIFFERENT?

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Who is this for?

CEO / President / GM


One answer to "what's driving growth?"
Across every function, every factor, every time horizon.

CFO / Head of Strategy


A growth model you can plan and forecast against – explanation and projection from the same architecture

Division /
Business Unit Head


Your P&L as a connected system. The interactions, the trade-offs, and where the real leverage sits.

Built for your world.

Our pre-trained models work within three industries, speaking your business language fluently.

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automotive

Dealer performance, sales forecasting, market penetration, competitive analysis, territory optimization.

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CPG

Brand performance, distribution optimization, market share strategy, category growth, competitive positioning.

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Retail

Store performance, expansion planning, inventory optimization, competitive positioning, market share growth.

The model doesn’t replace functional expertise. It gives every function the same causal foundation — so the debates end and the decisions begin.

See what Data Poem can do for you.

Let’s talk about how we can help you grow your business.

frequently asked questions