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Marketing Mix Modeling (3)

Should You Include Branded Keyword Paid Search Spend in Marketing Mix Modeling (MMM)?

LinkedIn is definitely the place to go if you want to exchange knowledge and insights with professionals. In this thought-provoking post, Steve Kozel raised a controversial question to marketing mix modeling (MMM) experts: "Should branded keyword paid search spend be included in MMM?". This questions opens up a critical discussion on the integration of branded keyword paid search into MMM to understand its return on investment (ROI), incrementality, and saturation curve. In this blog post we will do our best to answer this question based on our experience at Sellforte.

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How to measure Offline Media with Marketing Mix Modeling?

Offline media can be measured with Marketing Mix Modeling (MMM). MMM uses historical data to analyze the performance of various marketing tactics such as campaigns, media channels (offline and online), promotions, and so on. It offers a holistic framework, which enables marketers to understand the complex interactions between different media types and their collective impact on sales. Therefore, MMM can help make sure that you can make informed marketing budget allocation decisions across all channels.

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How does Sellforte's pricing work? Pricing explained.

Sellforte's pricing starts at €990 per month and can range up to €13,030 per month global D2C and eCommerce company. However, we offer custom pricing omnichannel retailers who wants customized solution.

Although that is a sizable range of variation, we will explain why and how Marketing Mix Modeling Software as a Service (MMM SaaS) solution pricing functions in the following chapters. We will also walk you through:

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Why Use Daily Level Data in Marketing Mix Modeling?

Nowadays, understanding the impact of your strategies is crucial for success. Marketing Mix Modeling (MMM) has emerged as a powerful tool for marketers to measure the effectiveness of their marketing activities. However, the granularity at which you model your data can make a significant difference in modeling quality. Here's why you should consider using daily instead of weekly level data in your MMM.

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