Top 5 SMB MMM Software for Small Ecommerce Brands ($0–$50M Annual Revenue)

If you’re leading growth for an ecommerce brand, you’ve probably struggled to allocate media spend across channels with confidence. Last-click attribution tells you one story, while ad platforms tell another, and neither fully reflects what’s actually driving incremental revenue.

You’re not alone. Many ecommerce brands with under $50M in annual revenue are turning to Marketing Mix Modeling (MMM) to cut through attribution noise and make better budget decisions.

Until recently, MMM was largely reserved for enterprise teams with large budgets and dedicated analysts. That’s no longer true. New SMB-focused MMM tools now offer faster onboarding, more granular insights at the campaign or ad set level, and practical outputs that smaller teams can actually act on.

In this guide, we break down the top 5 SMB marketing mix modeling software options for small ecommerce brands, highlighting where each one excels, the trade-offs to consider, and which type of team each tool is best suited for.

1. Sellforte: The Next-Gen Leader in MMM

Overview: Sellforte is a Marketing Mix Modeling platform, specializing in Ecommerce and Retail. Sellforte is the technology leader among SMB MMM solutions.

Pros:

• Credibility: Strong public references across large enterprise ecommerce businesses (such as Bonprix) and rapidly growing ecommerce brands (such as Represent)
• Robust campaign & ad set optimization: Sellforte provides optimal spend and bid value for each campaign & ad set based on Marginal Incremental ROAS (miROAS) 
• Optimization focus: Advanced features for spend optimization, ranging from use-case specific optimization views to AI Agents
• Scales as your grow: Includes enterprise-grade features, such as measuring offline media, modeling all sales channels (ecom, retail, Amazon,..), modeling promotions, Experiments, Optimizer

Cons:

• Initially built for demanding large ecommerce businesses and retailers, which might make it too advanced for some ecommerce brands as the first MMM solution
• Purely focused on measuring and optimizing media spend, and not catering to other ecom use-cases, such inventory management

Best for: Ecommerce businesses who want the most robust MMM solution for optimizing their spend both on channel and campaign/ad set level. Contrary to other SMB MMM software, Sellforte can scale with the business as offline media and new sales channels are taken into use.

2. Triple Whale

Overview: Triple Whale is known as an ecommerce analytics and multi-touch attribution platform for Shopify vendors, but it has also expanded into MMM. 

Pros:

• Combines MTA and MMM in one platform. Easy to adopt for brands already using Triple Whale for MTA or other use-cases
• Good integrations for ecommerce brands, especially Shopify
• Is building AI capabilities to the solution
• Provides campaign-level measurement

Cons:

• MMM is more lightweight compared to MMM-first platforms. As an example, promotions are missing from the model, increasing bias toward bottom-of-funnel channels
• Does not scale with the business: Not capable of serving larger ecommerce brands due to simple modeling approach
• Does not provide campaign-level Marginal Incremental ROAS (miROAS), decreasing credibility of recommendations
• Does not include analysis of marketing experiments

Best for: Small to mid-sized ecommerce teams that want an approachable entry point into MMM without adding a standalone measurement platform, especially if they’re already using Triple Whale for attribution and reporting.

3. Fospha

Overview: Fospha is known as multi-touch attribution platform, but it has also expanded into MMM. 

Pros:

• Several small UK-based ecommerce businesses as references
• Deep partnerships with TikTok and Snapchat. Several case studies showing customers increase TikTok and Snapchat spend
• Promises fast onboarding due to integrations
• Provides campaign-level measurement

Cons:

• Gaps in optimization tools: No robust scenario planning tool, no campaign / ad set level recommendations based in miROAS
• Does not have AI in the platform
• Does not scale with the business: Not capable of serving larger ecommerce brands due to simple modeling approach
• Does not include analysis of marketing experiments

Best for: Small ecommerce brands, especially in UK, who want to try MMM for the first time.

4. Northbeam

Overview: Northbeam is primarily a multi-touch attribution (MTA) platform, but it has added MMM to address the latest trends around incrementality.

Pros:

• Combines MTA and MMM in one platform
• Long reference customer list  among small US ecommerce businesses, especially for its MTA
• Strong brand recognition built in the MTA era

Cons:

• MMM is not the platform’s primary strength, and thus is more lightweight compared to MMM-first platforms
• Does not provide campaign-level Marginal Incremental ROAS (miROAS) or campaign level spend recommendations
• Not as strong in measuring brand or awareness activities as the MMM-first players
• Does not have AI in the platform

Best for: Small ecommerce teams that still rely on attribution but want MMM as a complementary lens.

5. Prescient AI

Overview: Prescient AI is a US-based MMM platform. Contrary to Fospha, Triple Whale and Northbeam, who started as an MTA platform, Prescient AI focused on MMM from the start.

Pros:

• Several small US-based ecommerce businesses as references
• Contrary to many MMM-first providers, provides campaign-level measurement
• Promises fast onboarding due to integrations

Cons:

• Does not provide campaign-level Marginal Incremental ROAS (miROAS) or campaign level spend recommendations
• Does not have analysis of marketing experiments
• Does not have AI in the platform
• Does not scale with the business: Not capable of serving larger ecommerce brands due to simple modeling approach

Best for: Small US-based ecommerce and DTC brands who are trying MMM for the first time.

Conclusions

The choice MMM for large ecommerce businesses with more than $1B in sales comes down to two primary options.

1. Triple Whale, Northbeam, Fospha, Prescient AI should be considered if the ecommerce brand wants to test MMM for the first time with a simple solution, and does not need advanced spend optimization capabilities.

2. Sellforte is the right choice if the ecommerce brand wants to have the most advanced and robust spend optimization capabilities in the market, and a tool which can serve the brand from a small business all the way to a larger enterprise.

To learn more, book a demo with Sellforte.

Authors

Lauri Potka is the Chief Operating Officer at Sellforte, with over 15 years of experience in Marketing Mix Modeling, marketing measurement, and media spend optimization. Before joining Sellforte, he worked as a management consultant at the Boston Consulting Group, advising some of the world’s largest advertisers on data-driven marketing optimization. Follow Lauri in LinkedIn, where he is one of the leading voices in MMM and marketing measurement.