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MassTer

End-to-end Marketing Mix Modeling Software
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MassFeeds

Data Preparation Software
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Data Optimization Software
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Marketing Mix Modeling Guide

Empower yourself with the knowledge and tools to run successful Marketing Mix Modeling projects.

Retail

Marketing Mix Modeling for Multi-regional Retailers
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CPG

Marketing Mix Modeling for CPG Companies
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E-commerce

Marketing Mix Modeling for E-commerce
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Finance

Marketing Mix Modeling for Financial Institutions
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USE CASE

Triangulation saved the ROI of this D2C

The client, Movie.2, is a D2C media company whose subscriptions suffered a decrease of more than 10% in 2022 compared to 2021. We teamed up with them to understand the causes behind this decline and ensure that they can take the right steps to reverse it and get back on track with their subscriptions. To address this issue and provide them with the optimal media budget allocation, we needed to start by understanding the effect of their media activities on their subscription -be it direct or indirect impact- and we had to identify the key drivers for their customers’ subscriptions. We also had to account for their Return on Advertisement Spend (ROAS), and CPA, as well as isolate the saturation level for every marketing channel. Through this approach, we were able to provide our client with the insights and recommendations they needed to optimize their marketing budget, reverse the trend of subscriptions decrease, and increase their revenue by more than 11%.

Discover more Marketing Mix Modeling Use Cases

Publicis Groupe Growing Marketing Mix Modeling Turnaround

The Marketing Effectiveness market is heading towards bigger demand and faster turnaround for the advertisers to be able to action the results and strategic recommendation derived from the Marketing Effectiveness project.

Multi-Product Modeling for CPG

A CPG company is interested in measuring the effectiveness of the Marketing activities of 9 of their Stock Keeping Units (SKU) which are under the same Brand Umbrella.

Data Preparation MassFeeds

The objective is to reduce the time spent on data preparation from diverse data sources and redeploy the gained time in other parts of the project that can bring higher value.