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Modeling5 min

Running a Model and Reading Results

What you'll need

  • A saved model configuration
  • All selected data sources in Connected status
1

Start the run

On the Model Hub page, find your configuration and click Run. The model enters the processing queue.

Click Run on your configuration
2

Watch the progress

The run page shows real-time progress through four stages: Data Preparation, Sampling, Analysis, and Saving. You can close this tab and come back later.

Model enters queue
3

Open the results

When the run completes, click it to open the results page.

Training in progress
4

Read the AI Insights

At the top, you will see AI-generated insights summarizing the key findings. These give you actionable recommendations in plain language.

Run complete - click to view
5

Review the KPI cards

The summary cards show Overall ROAS, R-squared (model fit), MAPE (error rate), Total Spend, and Total Revenue. An R-squared above 0.85 indicates a strong model.

AI Insights at the top
6

Analyze Channel Contribution

The Channel Contribution chart shows which channels drive the most value. Larger segments mean higher contribution to your KPI.

KPI summary cards
7

Check the ROI by Channel table

Each channel has an ROI estimate with a 95% confidence interval. Green (ROAS above 1.0) means the channel is profitable. Amber (0.5–1.0) means it is marginal. Red (below 0.5) means it is underperforming.

Channel Contribution breakdown
8

Decide on next steps

If channels are underperforming, consider reducing their budget or testing new creatives. Use the Budget Optimizer to model reallocation scenarios before making changes.

ROI by Channel table

Next step

Using the Budget Optimizer