---
title: How to adjust channel impact in Morpheus MMM using hyperparameters
description: Struggling with inaccurate channel attribution in your MMM results? Learn how to adjust hyperparameters in Morpheus to fine-tune channel impact and make smarter marketing decisions.
---

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June 6, 2025

# How to adjust channel impact in Morpheus MMM using hyperparameters

## Struggling with inaccurate channel attribution in your MMM results? Learn how to adjust hyperparameters in Morpheus to fine-tune channel impact and make smarter marketing decisions.

If you’re working with a **Marketing Mix Modeling (MMM)** tool like [**Morpheus**](https://dataslayer.ai/morpheus) and feel that some channels aren’t being fairly represented... Don’t worry, you’re not alone!

This usually happens when your model assumes that all channels behave the same way, especially when it comes to **saturation**. But reality is more complex. Some channels (like TV) build slowly and last longer. Others (like Display) peak quickly and lose impact fast.

To fix this, Morpheus lets you configure a powerful setting: the **`saturation_alpha` hyperparameter**.

Let’s explore what it is and how you can adjust it for more accurate and strategic marketing insights.

### What is `saturation_alpha` in Morpheus?

`saturation_alpha` helps define how fast a channel saturates—i.e., when additional spend stops delivering additional value.

The most important sub-setting is **Mu (mean)**, which controls the saturation speed.

| Term | Meaning |
| --- | --- |
| **saturation\_alpha** | A setting that defines the saturation behavior of each channel |
| **Mu** | Controls how *quickly* a channel saturates as spend increases |

 

#### Why is this important?

Without adjusting saturation:

- Your **long-term brand channels** (TV, Radio, Sponsorships) may look ineffective
- **Performance channels** (Search, Display) might appear to overdeliver
- You risk **budgeting based on misleading results**

Tuning `saturation_alpha` helps align your model with **real-world channel behavior** and business knowledge.

### How to adjust `saturation_alpha` in Morpheus

#### **Step 1: Open your model configuration**

Access the settings in your Morpheus model where you define hyperparameters for your media channels.

Click on the **Edit** icon in the `saturation_alpha` hyperparameter.

![1-Jun-06-2025-09-53-10-0428-AM](https://support.dataslayer.ai/hs-fs/hubfs/1-Jun-06-2025-09-53-10-0428-AM.png?width=688&height=378&name=1-Jun-06-2025-09-53-10-0428-AM.png)![2-Jun-06-2025-09-53-48-9485-AM](https://support.dataslayer.ai/hs-fs/hubfs/2-Jun-06-2025-09-53-48-9485-AM.png?width=688&height=378&name=2-Jun-06-2025-09-53-48-9485-AM.png)

#### **Step 2: Set a default Mu for all channels**

This is your global starting point. If no overrides are added, this value will apply to every channel.

| Channel | Mu Value |
| --- | --- |
| All Channels | 0.5 |

> **What it does:**

Applies a baseline saturation behavior across the entire media mix. Think of it as the “default sensitivity” to spend.

![3-Jun-06-2025-09-54-14-1006-AM](https://support.dataslayer.ai/hs-fs/hubfs/3-Jun-06-2025-09-54-14-1006-AM.png?width=688&height=378&name=3-Jun-06-2025-09-54-14-1006-AM.png)![4-Jun-06-2025-09-54-52-3808-AM](https://support.dataslayer.ai/hs-fs/hubfs/4-Jun-06-2025-09-54-52-3808-AM.png?width=688&height=378&name=4-Jun-06-2025-09-54-52-3808-AM.png)

#### **Step 3: Override specific channels as needed**

Now, if you want to give certain channels more weight (because they build brand or impact more slowly), assign them a higher Mu individually.

| Channel | Mu Value |
| --- | --- |
| TV | 5.5 |
| Radio | 4.0 |

> **What this means:**

TV and Radio now have slower saturation curves. Morpheus will attribute a greater share of results to these channels, especially at higher spend levels.

  ![5-Jun-06-2025-09-55-10-9595-AM](https://support.dataslayer.ai/hs-fs/hubfs/5-Jun-06-2025-09-55-10-9595-AM.png?width=688&height=378&name=5-Jun-06-2025-09-55-10-9595-AM.png)

![6-Jun-06-2025-09-55-17-1588-AM](https://support.dataslayer.ai/hs-fs/hubfs/6-Jun-06-2025-09-55-17-1588-AM.png?width=688&height=378&name=6-Jun-06-2025-09-55-17-1588-AM.png)

#### **Step 4: Save and rerun the model**

Once changes are made:

- Save your updated settings
- Rerun the model in Morpheus
- Let the system recalculate channel contributions based on new saturation assumptions

![7-Jun-06-2025-09-55-58-4741-AM](https://support.dataslayer.ai/hs-fs/hubfs/7-Jun-06-2025-09-55-58-4741-AM.png?width=688&height=378&name=7-Jun-06-2025-09-55-58-4741-AM.png)

![8-Jun-06-2025-09-56-19-4084-AM](https://support.dataslayer.ai/hs-fs/hubfs/8-Jun-06-2025-09-56-19-4084-AM.png?width=688&height=378&name=8-Jun-06-2025-09-56-19-4084-AM.png)

#### **Step 5: Analyze the results**

After rerunning:

- Look at the **channel contribution graphs**
- Compare **ROI estimates**
- See how **media efficiency** changes

![9-Jun-06-2025-09-56-39-0478-AM](https://support.dataslayer.ai/hs-fs/hubfs/9-Jun-06-2025-09-56-39-0478-AM.png?width=688&height=378&name=9-Jun-06-2025-09-56-39-0478-AM.png)

![10-4](https://support.dataslayer.ai/hs-fs/hubfs/10-4.png?width=688&height=378&name=10-4.png)

If done correctly, your updated model should now reflect a **more accurate and balanced picture** of your media mix.

### Best practices for adjusting Saturation

| Tip | Why it matters |
| --- | --- |
| Start with **small changes** | Avoid distorting the model too fast. Adjust one or two channels at a time. |
| Use **business logic** | Think about how each channel works in your real market. Does it drive short-term results or long-term brand impact? |
| **Document** your changes | Always keep track of what you've adjusted and why, especially if others will review the model later. |
| **Compare** before/after | Use the Morpheus versioning or notes to compare outcomes and decide which configuration reflects reality best. |

### Final thoughts

Adjusting `saturation_alpha` isn’t “cheating” the model. It’s helping it **see your media reality more clearly**. Use it to bring your marketing intuition into the modeling process and improve your planning confidence.

Your MMM results should work for you, not against you.

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