Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) code from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset. (by facebookexperimental)

Robyn Alternatives

Similar projects and alternatives to Robyn based on common topics and language

  • GitHub repo Prophet

    Robyn VS Prophet

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  • GitHub repo EconML

    Robyn VS EconML

    ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of

  • Nanos

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  • GitHub repo tensor-house

    Robyn VS tensor-house

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  • GitHub repo mta

    Robyn VS mta

    Multi-Touch Attribution

  • GitHub repo self-parking-car-evolution

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better Robyn alternative or higher similarity.

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Reviews and mentions

Posts with mentions or reviews of Robyn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-08.
  • What are some applications of Data Science in Digital Marketing?
    Some other marketing topics to be aware of: forecasting - Prophet is an interesting library for this, you'll definitely need some domain knowledge to fit the forecast, it really shouldn't be used to just fit and go otherwise you'll probably end up with some bad results, Media Mix Modeling - FB-Robyn is a library with quite a bit of potential, Multi-Touch Attribution - MTA is a decent python library for this, but you'll have pretty significant data requirements to actually have accurate results, these approaches tend to be pretty susceptible to survivorship/selection bias, survival analysis - Lifelines is a pretty good python package for this, this sort of analysis is useful for determining churn likelihood or time until next purchase.


Basic Robyn repo stats
10 days ago

facebookexperimental/Robyn is an open source project licensed under MIT License which is an OSI approved license.

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