The BlueAlpha difference

Build your decision confidence engine.

A causal revenue model built on your business, giving you proof and confidence in every decision you take.

  • Combined revenue of BlueAlpha customers

    $9.7B+

  • Ad spend optimized per year

    $570M+

  • Incremental revenue driven per year

    $175M+

Why every budget conversation feels like you're playing defense

01

Every platform claims the same conversion.

02

The read you finally get explains a quarter you can no longer change.

03

Recommendations stay recommendations.

04

Nobody can tell you whether the last reallocation paid off.

Your causal revenue model

We start with the marketing dollar because that's what gets questioned first. But we don't stop there, because price, promo and product move revenue just as often. The model goes where the problem is.

Causal MMM

Where your revenue actually came from, channel by channel. Email, price, promo and product go into the same model, so you see what each line is driving and how they play together.

Causal Incrementality Testing

Whether a channel is truly driving incremental outcomes or just standing next to them. Live experiments that prove each move before you scale it: a new channel, more spend, a new strategy.

Planning and forecasting

What a plan will return before you commit the budget. 

Every move logged against what it delivered.

Beyond your marketing dollar

Custom data science on your own data: price elasticity, promo response, product mix, LTV and churn. What to charge, how deep to discount, which products to push, and which customers you are about to lose.

The Platform

Your data,
your definitions.

Your data,
your definitions.

Built on your data, down to how you count a conversion. Generic models produce caveats. Yours produce decisions you can defend.

Built on your data, down to how you count a conversion. Generic models produce caveats. Yours produce decisions you can defend.

Retrained weekly.

Never a stale read.

Backtested.

Proven on data the model has never seen.

Live in weeks.

Not Quarters.

Dynamic Priors.

Every test result updates the model.

Checked every refit.

Quality, robustness, accuracy.

Forecasts scored.

Every prediction meets its actual.

Same standard everywhere.

Pricing, LTV and churn models are backtested too.

The test wins.

When a holdout disagrees, the model updates.

Prove it.
Then Move it.

The Platform

Success Stories

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