Your agentic growth marketing analyst

Aurora turns natural-language questions into recommendations grounded by incrementality, marginal results, and diminishing returns.

See what Aurora could uncover in your marketing data.

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You have plenty of data points. Finding the next move takes too long.

When performance shifts, finding where the next dollar works hardest means digging through dashboards, while opportunities slip by.

With Aurora, growth teams can explore where to scale, cut, or hold spend without manually piecing together every answer from dashboards.

Ask where to grow. Get an answer grounded in incrementality.

Find where to scale

See which channels have room to grow based on marginal returns.

Spot before the loss

Identify when a channel is nearing saturation where additional spend will not pay off.

Understand the why

Get recommendations with reasoning informed by contribution data, marginal results, and platform constraints.

See Aurora in action

Ask the question. Find your next growth move.

Step 1: Ask.

Ask a growth question in plain language, such as “Which channels are performing best by ROAS?”

Step 2: Analyze.

Aurora draws on contribution data, models marginal costs, and considers diminishing returns and platform constraints.

Step 3: Explore.

Review its recommendation and reasoning, then use follow-up questions to keep investigating.

Book a demo

Turn trusted measurement into confident growth decisions.

Aurora runs on INCRMNTAL’s always-on incrementality engine. The platform does not require user-level data or planned four-week experiments to measure incrementality.

Book a demo to see Aurora working with an incrementality dataset.

“Having a conversational interface sitting on top of real causal measurement changes how we operate. Instead of waiting on a report or building another dashboard, I can ask a direct question and get a direct answer backed by incrementality data. That’s a meaningful step forward for how performance teams work day-to-day.”

Shad Alter

Head of Programmatic

FAQ

What is Aurora?

Aurora is a conversational AI growth analyst built on INCRMNTAL’s incrementality data. Ask a marketing question in plain language and get a recommendation with reasoning.

What kinds of questions can I ask?

Ask where to scale spend, which channels perform best by iROAS, which channels may be cannibalizing one another, or what to reduce if you need to cut spend.

Can I use Aurora now?

Yes. Book a demo to see Aurora working with an incrementality dataset.

How is Aurora different from a chatbot that answers questions about a dashboard?

Aurora analyzes contribution data and models marginal costs, diminishing returns, and platform constraints to make recommendations based on incrementality data.

Do I need user-level data or a four-week experiment?

INCRMNTAL’s always-on incrementality platform does not require either to measure incrementality.

Ready to see it in action?

Book a demo