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Calibrating Marketing Mix Models with Experiments and Attribution data

Model calibration is a new approach in Next Generation Marketing Mix Models (MMM) that can dramatically increase the reliability of MMM results and the accuracy of ROI estimates. For marketing professionals, it means that they can be more confident about using the MMM results in major budget allocation and optimization decisions.

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Calibrating Marketing Mix Models with Experiments and Attribution data

Model calibration is a new approach in Next Generation Marketing Mix Models (MMM) that can dramatically increase the reliability of MMM results and the accuracy of ROI estimates. For marketing professionals, it means that they can be more confident about using the MMM results in major budget allocation and optimization decisions.

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Compared: Bayesian Hierarchical vs Non-Hierarchical Modeling

Bayesian statistics is a quantitative approach that helps us deal with uncertainty. It combines our existing knowledge (prior knowledge) with new data that we observe in order to make educated guesses about unknown things. Instead of giving us a single answer, Bayesian statistics gives us a range of possibilities and their probabilities based on the information we have. This framework allows us to update our results as we gather more data and make more accurate predictions.

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Why should you combine Media Metrics with MMM insights?

The quest for ROI insights

Are you a Lord of the Rings fan? Well, in any case we are! In the saga, there are ancient stones called “Palantir”, which enable the users of the stone to see anywahere in the world. You touch the stone, close your eyes, and you can roam the surrounding environment and observe its events. It’s like a crystal ball that shows you EVERYTHING (with some limitations).

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Why should you combine Media Metrics with MMM insights?

The quest for ROI insights

Are you a Lord of the Rings fan? Well, in any case we are! In the saga, there are ancient stones called “Palantir”, which enable the users of the stone to see anywahere in the world. You touch the stone, close your eyes, and you can roam the surrounding environment and observe its events. It’s like a crystal ball that shows you EVERYTHING (with some limitations).

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Meta Marketing Mix Modeling Summit 2024 "Master Cross-Channel Measurement” Highlights

Meta Marketing Mix Modeling (MMM) Summit "Master Cross Channel Measurement was held in London on the 26th of June 2024. This exclusive event gathered marketing measurement expert’s across the world together with top advertisers to foster innovation and elevate awareness about MMM among Meta's small and medium business community.

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Maximizing Campaign Success: How Performance Marketers Use MMM to Boost ROI?

Performance marketing teams, if you haven’t yet embraced Marketing Mix Modeling (MMM), it’s definitely time to reconsider! MMM used to be a high-level tool relevant only in the annual planning process for getting recommendations on high-level media budget allocations. However, today's MMMs can serve tactical use-cases as well, making them relevant for performance marketing professionals. Modern MMM solutions offer campaign-level ROI tracking for e-commerce, DTC brands, and performance marketing teams.

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Offline vs. Online Media in Fashion Retail: When Does Offline Win?

In today's fast-paced digital world, online media has become an essential part of any fashion retailer's marketing strategy. From social media ads to email marketing, online media offers a range of cost-effective and highly targeted advertising options. However, offline media, such as television and print ads, still has its place in the world of fashion retail.

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