#1 Marketing Mix Modeling platform for eCommerce and Retail

Increase your sales by +6.5%

Sellforte's continuous MMM unlocks a +6.5% additional sales opportunity when moving away from last-click attribution. Find out how


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Sellforte Marketing Mix Modeling platform
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Next Gen MMM platform for eCommerce and Retail

Sellforte is a Next Gen MMM platform for eCommerce and Retail. Key features include: Fast & Easy start, High Quality modeling, and Optimization features, which deliver +6.5% revenue increase

Fast and easy start: Get MMM Results in 2 weeks

In a typical eCom / DTC brand onboarding, customer connects data in 30mins, and MMM results are ready in 1-2 weeks. For retailers with more offline sales and media data, process can take longer.

Why does it take 1-2 weeks to get the MMM results? Because we are obsessed with quality - ensuring high quality takes a few days.

Read more about connecting Data

Data connectors in the Sellforte Marketing Mix Modeling platform

High Quality: Calibrated Bayesian MMM

Sellforte's methodology is based on Bayesian MMM, which is broadly considered as the gloden standard in the industry.

Sellforte's Next Gen Marketing Mix Models are calibrated with experiments (conversion lift tests, geo tests, shutdown tests) and attribution data (Ad Platform, Google Analytics 4, Multi-Touch Attribution), making results radically more reliable and accurate.

Read more about Sellforte's modeling

Sellforte is a Next Gen Marketing Mix Modeling platform, whose models are calibrated with experiments and attribution data.

Drive +6.5% more sales by optimizing...

True ROI for all channels

Sellforte provides a single source of truth for media effectiveness. Our measurement covers all digital platforms, such as Google and Meta, and offline channels, such as TV and Out-Of-Home. You can analyze the results on multiple levels, for example:

  • Media Group: Paid Social, Paid Search, Display, TV, OOH..
  • Ad platform: Meta, Google, TikTok, Criteo...
  • Ad channel: Meta Prospecting, Meta Retargeting...
  • Campaign objective: Awareness, Traffic, Engagement, Leads...
  • Bidding strategy: Target CPA, Target ROAS...
  • Campaign: Facebook retargeting Hats week 24...

Read more about our Dashboard

ROI chart in Sellforte's Marketing Mix Modeling platform

Why should you transition from attribution to MMM?

Reveal the true ROI of Social Media

Google Analytics 4 and multi-touch attribution are broadly used in cross-channel measurement, but they struggle capturing the true ROI of Paid Social, such as Meta, TikTok, Snapchat, and Pinterest.

We analysed the difference between Sellforte-reported ROI and Google Analytics 4 -reported ROAS for Meta. To get to Sellforte's ROI, one needs to multiply GA4-reported ROAS for Meta with

  • 1.6x for Retargeting campaigns to existing customers
  • 2.5x for Prospecting campaigns to new customers
  • 9.2x for Awareness campaigns

Read more about our study

Measuring ROI

Start measuring offline sales impact

Sellforte helps you capture the full impact of your digital media.

Google Analytics 4 and multi-touch attribution don't capture offline-sales driven by digital media. If you're an omnichannel retailer, this means that you are not measuring the full impact of digital media.

As an example, we recently analysed TikTok advertising of C&A, a leading European fashion retailer. We found out that more than 50% of total sales driven by TikTok was in physical store sales.

Read more about the C&A x TikTok case study

Full impact of digital media

Uncover the true ROI of Paid Video

Based on our experience, Paid Video's performance is always under-reported in last-click attribution. Sellforte helps you uncover the true ROI of Paid Video.

Paid Video typically drives short-term revenue as a performance channel, but it also has long-term lagged effects. Sellforte's Marketing Mix Model correctly captures both of these effects.

True ROI of Paid Video

How to get started?

Number crunching.

+1 B€

optimized media investments

+1 %

more effective media

1 x

ROI for our customers buying Sellforte

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