AI Action Center

Understand what is happening—and what to do next

The AI Action Center is the starting point for understanding your media performance in Prescient.

Your Performance Brief

When you open the AI Action Center, Prescient provides a summary of recent media performance.

It may highlight:

• Your strongest channels
• Changes in ROAS or CAC
• Revenue and new customer drivers
• Campaigns with room to scale
• Performance that may need attention
• Data or measurability issues

The brief focuses on the information most relevant to your team rather than showing every available metric.

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Grounded in Your Models and Data

Prescient AI uses your organization’s connected data and MMM results.

The underlying models calculate:

• Incremental revenue and new customers
• MMM ROAS and CAC
• Base and Halo Effects
• Media response curves
• Forecasted performance
• Model accuracy and confidence

Prescient AI helps explain these results, identify meaningful changes, and guide you to the right next step.

It does not replace the underlying models or generate unsupported forecasts.

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Ask Prescient AI

Use the chat box to ask questions about your media performance in natural language.

For example:

• Why is Meta performance declining?
• Which channels generated the most incremental revenue?
• What are our biggest opportunities to scale?
• How did Google perform this month?
• Which campaigns need more data?
• Where could we move budget to improve ROAS?

You can also select one of the suggested questions shown on the page.

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Workspace Overview

The cards on the right side of the page provide a quick view of key areas across Prescient.

Model Center

Review your active models, configurations, and average model accuracy.

Data Center

Check your connected data sources, business context, tactics, and connector health.

Media Forecaster

View active media plans, projected lift, and potential optimization opportunities.

Measurability

See which channels and campaigns have enough signal to support reliable forecasting.

Select any card to open the full feature.

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From Insight to Action

A typical workflow is:

1. Review your performance brief.
2. Ask a follow-up question.
3. Examine the supporting model results.
4. Open Attribution, Media Forecaster, Model Center, or Measurability.
5. Evaluate the recommendation using your business context.
6. Test the change and monitor performance.

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Best Practices

Ask focused questions that include a metric, timeframe, or objective.

For example:

Instead of:

How is Meta doing?

Ask:

Why did Meta MMM ROAS decline over the last 30 days?

Use Prescient AI to prioritize your analysis, then review the relevant feature before making a significant media decision.