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Modeling5 min

Configuring Your Marketing Mix Model

What you'll need

  • At least one connected data source with synced data
  • A minimum of 90 days of historical data (1 year recommended)
  • A clear KPI in mind (conversions or revenue)
1

Create a new model

Go to Model Hub and click + New Model.

Click + New Model
2

Name your model

Give it a descriptive name like "Q1 2026 Analysis" or "Full Year Revenue Model". You can rename it later.

Name your model
3

Select marketing channels

Check the channels to include: Google Ads, Meta Ads, TikTok, LinkedIn, and any others you have connected. Only channels with synced data appear here.

Select marketing channels
4

Set the date range

Pick the start and end dates. Minimum 90 days. One year of data is ideal — it gives the model enough signal to separate channel effects from seasonality.

Set date range
5

Choose your KPI

Select conversions or revenue as your target metric. This is the outcome the model will decompose into channel contributions.

Choose KPI
6

Select a speed preset

Quick (5 min) is good for exploration. Standard (15 min) is the default. Thorough (30 min) produces tighter confidence intervals. Production (1 hour) is for final reporting.

Select preset
7

Configure advanced settings (optional)

Open the Advanced section to adjust adstock decay, saturation priors, and control variables. Skip this if you are unsure — the defaults work well for most cases.

Advanced settings
8

Save the configuration

Click Save. Your model configuration is now ready to run. You can edit it later before running.

Configuration saved

Next step

Running a Model and Reading Results