# Unlock Enterprise-Grade Marketing Mix Modeling for Growth Brands

Accurate attribution for online & offline channels. Campaign-level granularity. Weekly updates. No data science team required.

Limited spots available for early access • Transparent pricing from $1,500/mo

## Why Attribuly MMM?

The first MMM platform designed specifically for growth-stage DTC brands.

Enterprise power without the complexity.

### Campaign-Level Granularity

Unlike basic tools that only offer channel-level data, we provide actionable insights at the campaign level. Make better decisions faster.

### Weekly Updates

Don't wait for monthly reports. Get weekly insights to optimize your marketing mix in near real-time.

### Built-in Incrementality

Validate your model with geo-lift tests and incrementality experiments. Know exactly what drives your growth.

### Transparent Pricing

Enterprise features starting at $1,500/mo. No hidden fees or long-term lock-ins.

### Offline Channel Support

Measure TV, Podcasts, OOH, and more. Unified view of all marketing efforts.

## How It Works

Get started in just a few clicks. Our platform is designed for ease of use.

1. ### Connect Your Data
   One-click integration with Shopify, Meta, Google, TikTok, and more. Upload offline data via CSV or API.

2. ### Configure Your Model
   Customize Adstock and Saturation parameters with our guided setup. No coding required.

3. ### Get Actionable Insights
   View channel contribution, ROAS, and budget optimization recommendations. Optimize weekly.

## Compare with Alternatives

See why growth brands choose Attribuly over traditional agencies and enterprise tools.

| Feature | Traditional Agencies | Enterprise Tools | Attribuly MMM |
| --- | --- | --- | --- |
| Granularity | Channel-level | Campaign-level | Campaign-level |
| Update Frequency | Quarterly / Monthly | Weekly | Weekly |
| Cost | $10k - $50k / mo | $5k+ / mo | From $1,500 / mo |
| Incrementality | Extra cost | Included | Built-in Validation |
| Onboarding | Months | Weeks | Days |

## Frequently Asked Questions

**How is Attribuly MMM different from traditional attribution?**  
Traditional attribution (MTA) relies on tracking individual user clicks and views. MMM (Marketing Mix Modeling) uses statistical analysis of aggregate data to measure the impact of all marketing activities, including offline channels and non-trackable impressions, without relying on cookies or pixels.

**Do I need a data science team to use this?**  
No. Attribuly MMM is designed for marketers, not data scientists. We automate the complex modeling process, providing you with clear, actionable insights and budget recommendations.

**How much historical data do I need?**  
We recommend at least 6 months of historical data for the best results. However, our model can start providing initial insights with as little as 3 months of data.

**What channels can I measure?**  
You can measure any channel where you have spend and outcome data. This includes Facebook, Google, TikTok, Amazon, TV, Podcasts, Direct Mail, OOH, and more.

**How often is the model updated?**  
Our models are updated weekly, giving you fresh insights to optimize your campaigns faster than traditional monthly or quarterly MMM reports.
