Initial release of PyMC-Marketing: Bayesian MMM and CLV modeling

:rocket: Ready to liftoff and take your marketing strategy to new heights?

:chart_with_upwards_trend: PyMC Labs has just released PyMC-Marketing, an open-source Python package for Bayesian Media Mix Models (MMM) and Customer Lifetime Value (CLV).

:point_right: This means that businesses can now optimize their marketing strategies and make data-driven decisions to increase their return on investment (ROI) in both the short term and the long term.

:thinking: Why PyMC-Marketing?

:moneybag: By using PyMC-Marketing’s Customer Lifetime Value (CLV) models, businesses can predict the future value of their customers and find opportunities to increase revenue and loyalty.

:snake: PyMC-Marketing is written in Python, making it easy to integrate with other data analysis and visualization tools for a comprehensive view of marketing performance.

:unlock: PyMC-Marketing is open-source, allowing businesses to customize and extend the package to suit their specific needs and use cases.

:briefcase: We partnered with industry experts to ensure it stays up-to-date with the latest marketing trends and it empowers in-house marketing teams to optimize their campaigns.

:handshake: PyMC-Marketing is not just open-source, but also community-driven, which means anyone can use and contribute to it, making Bayesian marketing models more accessible and user-friendly than ever before.

:wrench: PyMC-Marketing is reliable and accurate, thanks to its comprehensive suite of software tests and its foundation on PyMC, a widely-used and well-established Bayesian statistical modelling package.

:white_check_mark: Whether you’re a seasoned marketing pro or just starting, PyMC-Marketing has something for you.

:raised_hands: Join us on our journey to revolutionize Bayesian Marketing Models! With PyMC-Marketing, we’re making Media Mix and Customer Lifetime Value models more accessible and user-friendly for marketers everywhere.

:books: Want to learn more or get involved? Head over to the PyMC-Marketing GitHub repository or sign up for the PyMC Labs newsletter.

:globe_with_meridians: PyMC-Marketing announcement: PyMC-Marketing: A Bayesian Approach to Marketing Data Science - PyMC Labs

:chart_with_upwards_trend: Effective marketing is crucial for business success because it helps to attract and retain customers, increase brand awareness, and drive revenue growth.

:movie_camera: Join us for our upcoming webinar on PyMC-Marketing to learn more and ask questions!

:spiral_calendar: Save the date: 18th April 2023
:memo: Register now to secure your spot!

GitHub: GitHub - pymc-labs/pymc-marketing: Bayesian marketing toolbox in PyMC. Media Mix, CLV models and more.