Marketing Analytics Tools from PyMC Labs
Unlock the power of Marketing Mix Modeling (MMM) and Customer Lifetime Value (CLV) analytics with PyMC-Marketing. This open-source marketing analytics tool empowers businesses to make smarter, data-driven decisions for maximizing ROI in marketing campaigns.
To dive into MMM and CLV analytics, set up a specialized environment, marketing_env
, via conda-forge:
conda create -c conda-forge -n marketing_env pymc-marketing
conda activate marketing_env
For a comprehensive installation guide, refer to the official PyMC installation documentation.
We provide a Dockerfile
to build a Docker image for PyMC-Marketing so that is accessible from a Jupyter Notebook. See here for more details.
Leverage our Bayesian MMM API to tailor your marketing strategies effectively. Based on the research Jin, Yuxue, et al. βBayesian methods for media mix modeling with carryover and shape effects.β (2017), and integrating the expertise from core PyMC developers, our API provides:
- Adstock Transformation: Optimize the carry-over effects in your marketing channels.
- Saturation Effects: Understand the diminishing returns in media investments.
- Budget Optimization: Allocate your marketing spend efficiently across various channels for maximum ROI.
- Experiment Calibration: Fine-tune your model based on empirical experiments for more unified view of marketing.
Explore a hands-on simulated example for more insights into MMM with PyMC-Marketing.
- Bayesian Media Mix Modeling for Marketing Optimization
- Improving the Speed and Accuracy of Bayesian Marketing Mix Models
- Johns, Michael and Wang, Zhenyu. "A Bayesian Approach to Media Mix Modeling"
- Orduz, Juan. "Media Effect Estimation with PyMC: Adstock, Saturation & Diminishing Returns"
- A Comprehensive Guide to Bayesian Marketing Mix Modeling
Understand and optimize your customer's value with our CLV models. Our API supports various types of CLV models, catering to both contractual and non-contractual settings, as well as continuous and discrete transaction modes.
Explore our detailed CLV examples using data from the lifetimes
package:
Non-contractual | Contractual | |
---|---|---|
Continuous | Buying groceries | Audible |
Discrete | Cinema ticket | Monthly or yearly subscriptions |
PyMC-Marketing is and will always be free for commercial use, licensed under Apache 2.0. Developed by core developers behind the popular PyMC package and marketing experts, it provides state-of-the-art measurements and analytics for marketing teams.
Due to its open source nature and active contributor base, new features get added constantly. Missing a feature or want to contribute? Fork our repository and submit a pull request. For any questions, feel free to open an issue.
Not sure how to start or have questions? MMM-GPT is an AI that answers questions and provides expert advice on marketing analytics using PyMC-Marketing.
Maximize your marketing ROI with a free 30-minute strategy session with our PyMC-Marketing experts. Learn how Bayesian Marketing Mix Modeling and Customer Lifetime Value analytics can boost your organization by making smarter, data-driven decisions.
For businesses looking to integrate PyMC-Marketing into their operational framework, PyMC Labs offers expert consulting and training. Our team is proficient in state-of-the-art Bayesian modeling techniques, with a focus on Marketing Mix Models (MMMs) and Customer Lifetime Value (CLV). Explore these topics further by watching our video on Bayesian Marketing Mix Models: State of the Art.
We provide the following professional services:
- Custom Models: We tailor niche marketing anayltics models to fit your organization's unique needs.
- Build Within PyMC-Marketing: Our team are experts leveraging the capabilities of PyMC-Marketing to create robust marketing models for precise insights.
- SLA & Coaching: Get guaranteed support levels and personalized coaching to ensure your team is well-equipped and confident in using our tools and approaches.
- SaaS Solutions: Harness the power of our state-of-the-art software solutions to streamline your data-driven marketing initiatives.