PyMC-Marketing hits 1,000 stars on GitHub! From an ambitious 2023 project to a global Marketing measurement standard. Replacing black box models with #Bayesian rigor. A massive thank you to our community and the #PyMC Labs team for building this robust ecosystem together.

Hockey goaltending stats are noisy. We used #Bayesian spatial models to separate skill from luck, creating a fairer framework for scouting. See how Gaussian Processes clarify performance and improve decision-making. 👉 dub.link/TBq8CKy #SportsAnalytics #PyMC #Bayesian

Registration is now open for the Jan 2026 Applied #Bayesian Modeling Workshop! Hands-on guidance from #PyMC Labs experts, practical Bayesian modeling you can use right away. Starting Jan 12. Seats are limited → dub.link/ds6cgc7

2025 was a stress test for marketing measurement. We saw common challenges across many industries. Join our unscripted roundtable next week to discuss real-world #marketingmeasurement challenges & future-proof your 2026 #Marketing roadmap. 👉Register: dub.link/nXldUWr

How do you build an end-to-end #MMM leaders can trust? Our new case study shows a transparent, reproducible #Bayesian workflow with uncertainty, lift, forecasting, and budget simulation. Check the Case study here 👉 dub.link/FwwUUNA #MarketingMixModeling #PyMCLabs

Practical Bayesian Modeling with #PyMC - from A/B tests to bandits. Join us at @pydata.bsky.social 2025 for a hands-on workshop with @allendowney.bsky.social . Learn Bayesian A/B testing, bandits, Thompson sampling, hierarchical models, and more using PyMC and Jupyter. See you there!

Our #MMM Benchmark Series continues, this time on baseline modeling, the sales that happen without marketing. We compare PyMC-Marketing vs. Meridian and what their baseline choices mean for accuracy and ROI. Full post: dub.link/wNS25u155 #bayesian #MarketingAnalytics

Marketing measurement shifted fast in 2025. Join our #PyMC Labs roundtable as we break down what actually worked across MMM, CLV, forecasting, and Bayesian models, and what leaders need for 2026. 👉 Register: dub.link/qDR2J7X #MarketingMeasurement #BayesianModeling

𝗣𝘆𝗠𝗖-𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 vs 𝗚𝗼𝗼𝗴𝗹𝗲 𝗠𝗲𝗿𝗶𝗱𝗶𝗮𝗻, a real-world benchmark for better #MMM decisions. Join #PyMC Labs partner Luca Fiaschi at #PyDataBoston 2025 as he shares a rigorous, open-source comparison of both frameworks using realistic, production-scale data!

Modeling the SAT Math Gap with #PyMC Why do male test takers score ~30 points higher? Ability or selection bias? At PyData Boston 2025, @allendowney.bsky.social shows how Bayesian modeling untangles confounding to reveal what’s real. #BayesianModeling #DataScience

In #CausalPy 0.6.0, one of the biggest upgrades isn’t a model, it’s clearer docs, tutorials, and examples + a unique Bayesian lens on structural causal discovery using variable-selection priors in joint models. 🧩Try it on Github: dub.link/Kv99C3L #BayesianModeling

#CausalPy 0.6.0 drops an enhanced reporting layer: cleaner tables, consistent summaries, and faster access to “so what?” insights. A big step toward business-ready Bayesian outputs. 🧩Available on Github: dub.link/yyubQTR #CausalPy #BayesianModeling

#CausalPy 0.6.0 adds Bayesian Propensity Score Enhancements! Flexible spline adjustments, improved joint modeling, and an example notebook make scoring more robust, showing how design thinking complements #Bayesian estimation. 🧩Try it on Github: dub.link/9jkcRao

🚀 #CausalPy 0.6.0 is live! A key highlight: the new Prior class, enabling fully custom #Bayesian priors and advanced setups like spike-and-slab or synthetic control models. More flexibility, more transparency, better causal modeling. 🧩 𝗖𝗵𝗲𝗰𝗸 𝗶𝘁 𝗼𝘂𝘁 𝗼𝗻 𝗚𝗶𝘁𝗛𝘂𝗯: dub.link/QrkzW8C

Bill Engels brought Gaussian Processes to life at PyData Seattle 2025. From hierarchical models to a baseball performance case study, this #PyMC-powered talk shows how to model uncertainty with confidence. Watch here: dub.link/Qm1q9ju

Join us tomorrow at Python Ireland’s PyCon 2025 for a talk with Nathaniel Ford on Bayesian workflows with PyMC. Learn iterative refinement, robust SEM modeling, and the craft behind meaningful statistical discovery. #PyCon2025 #PyMC #DataScience

Can an LLM evaluate ad creative? 🎙️ Our Partner Luca Fiaschi joins Eric Seufert on the Mobile Dev Memo podcast to discuss our recent research paper with Colgate-Palmolive on using LLMs & Synthetic consumers to score product concepts. Upcoming Webinar dub.link/QAWtWPD

Can AI really replicate human purchase intent? Our viral study with Colgate showed that LLMs + Semantic Similarity Rating (SSR) can match human intent with up to 90% reliability. Join PyMC Labs to explore how Synthetic Consumers are redefining research 👉 dub.link/bmLh5Yu

¡Los modelos también hablan español! PyMC Marketing ya está disponible en español 🎉 And for our non-Spanish speakers 🌍 PyMC Marketing is now live in Spanish! 🧩 Explore: dub.link/kR00Qtz #PyMC #OpenSource #MarketingAnalytics

Who you gonna call when your model’s haunted by unexplained variance? 👻 PyMC Labs. 🎃 Happy Halloween from the PyMC Labs team, Stay spooky, stay Bayesian. #Halloween #DataScience #PyMC

Measuring how brand awareness or reach drives business results is tough. The new notebook in PyMC-Marketing v0.17.0 uses causal reasoning + joint models to connect upper-funnel efforts to real outcomes. 🧩𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗼𝗻 𝗚𝗶𝘁𝗛𝘂𝗯: dub.link/sOQNdUp #MarketingAnalytics #CausalInference #PyMC #OpenSource

We're excited to highlight Multi-Objective Optimization in PyMC-Marketing v0.17.! A Bayesian way to balance multiple marketing goals, conversions, engagement, budget, and find the best trade-offs. 🧩 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗼𝗻 𝗚𝗶𝘁𝗛𝘂𝗯: dub.link/BTafbmI #PyMC

This week at @odsc.bsky.social AI West 2025, we're hosting a hands-on #PyTensor tutorial! Learn how the computational graph library powering #PyMC makes probabilistic models scalable & efficient, supports complex inference, and drives real-world AI decisions. See you there! #ODSC2025

Is your product innovation truly driving growth, or just shifting sales around? Discover how causal sales analytics with nested logit models helps brands separate incremental growth from cannibalization Read more 👉 dub.link/aIA5MYv

Most dashboards show correlations, not causation A mistake that can cost millions. Social media may boost awareness → visits → sale Optimize the wrong step & budgets are wasted. AI-powered causal discovery reveals what truly drives results. Read more: dub.link/Bl9VkHB

We're excited to highlight ShiftedBetaGeoModel (sBG) in PyMC-Marketing v0.17.0! Predict customer retention, model cohorts, and make smarter CLV-driven decisions — all with a single Bayesian model 🧩 Check it out: dub.link/XT90Xpw #PyMC #CohortAnalysis #CustomerAnalytics

Customer Lifetime Value (CLV) is critical, but calculating it takes weeks of data wrangling & modeling. Meet the CLV Agent from PyMC Labs: built on Bayesian foundations to automate CLV analysis end-to-end. Alpha access now open — limited spots. 👉Reach out at [email protected]

PyMC-Marketing v0.17.0 is live! Introducing the Causal Discovery Class: a target-oriented Bayesian approach to reveal true cause-and-effect in marketing data. 🔹 Identify real performance drivers 🔹 Make smarter, data-driven decisions 👉 Now on Github dub.link/BeACYbZ

The countdown has started! Join us this Thursday, Oct 23 to learn how to build production-ready Marketing Mix Models (MMMs) with fivetran + PyMC-Marketing. 🔗 Register: dub.link/u4MM50H #MarketingAnalytics #MMM #BayesianModeling #Fivetran #PyMCLabs

“Why does #PyMC-Marketing outperform #Meridian in accuracy?” It comes down to design: efficient likelihood functions, Fourier seasonality, and a model structure built for real-world data. Watch the full webinar 👉 dub.link/sk5J8Qgff

We just published a 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗚𝘂𝗶𝗱𝗲 on Marketing Mix Modeling (MMM) — what it is, how it works, and why Bayesian methods are changing how teams measure marketing impact. Includes a breakdown of tools, methods, and real-world examples. 👉 dub.link/Wlz30Zc

Join PyMC Labs & Fivetran to see a complete end-to-end Bayesian #MMM pipeline in action. Automate data ingestion, prepare model-ready datasets, and run Bayesian inference .. all in one seamless workflow. Register: dub.link/u4MM50H #MarketingScience #PyMCLabs

Can AI run your marketing engine? Join #PyMC Labs, [Plan.Net](plan.net) Group & THE MARCOM ENGINE at #InnoDay25 to explore how Bayesian agents orchestrate the entire marketing value chain — turning marketing into a measurable growth engine. 🔗 dub.link/w9cogEJ

What if your next product test didn’t need a human panel? New research by #PyMC Labs & #Colgate-Palmolive shows LLMs can replicate human survey patterns with 90%+ accuracy—no fine-tuning, no panels, no bias. Read the white paper: dub.link/ifoZHIR #SyntheticConsumers

Can #LLMs really estimate prices, and why does it matter for business? At #PyMC Labs, we built a “Price is Right” inspired benchmark testing models’ price knowledge & strategy. Results show accuracy isn’t enough; reasoning matters. Explore 👉 dub.link/CbLASs6

You’ve been saying you’ll learn #Bayesian modeling someday. Make someday 𝐭𝐨𝐝𝐚𝐲. The next 𝐀𝐩𝐩𝐥𝐢𝐞𝐝 𝐁𝐚𝐲𝐞𝐬𝐢𝐚𝐧 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 from #PyMC Labs begins October 6 and registration closes this week. Secure your spot now: dub.link/yhoQ7tF

Final session of our #PyTensor Workshop is live! Discover custom rewrites, speed up diagonal matrix inversions 80x, and see a mini-PyMC in action - one graph powering the full Bayesian workflow. Watch here: dub.link/WRFuYtp #PyMC #Python #ML #DataScience

Join Rob Zinkov at #PyDataAmsterdam 10th Anniversary on Sep 26, 1:20 PM for a beginner-friendly #PyMC sprint. Learn, contribute, and connect with the community! #PyTensor

Last week, we published the most comprehensive #PyMC-Marketing vs. #Meridian benchmark to date. 𝐎𝐧 𝐎𝐜𝐭 𝟏, join our 𝐥𝐢𝐯𝐞 𝐰𝐞𝐛𝐢𝐧𝐚𝐫 to go deeper into the findings & their impact on #MMM. 🗓️ Register: dub.link/rgm4PzI 👉Check the Benchmark: dub.link/CLWnkdf

When learning #Bayesian modeling, great teaching 𝑎𝑛𝑑 great resources matter. Hear from Bartłomiej, a workshop alum, on how the Applied Bayesian Modeling Workshop gave him practical tools to keep using. 𝐍𝐞𝐱𝐭 𝐰𝐨𝐫𝐤𝐬𝐡𝐨𝐩: 𝐎𝐜𝐭 𝟔 → dub.link/UuDaiQk

Most ML models predict, but don’t show how certain those predictions are. #Bayesian methods with #PyMC change that. Tonight in Montreal, Christopher Fonnesbeck will show how to model uncertainty with practical workflows + live coding. 🔗 dub.link/P2iaD9M

Session 2 of our #PyTensor workshop dives into 𝐆𝐫𝐚𝐩𝐡 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧𝐬! Learn eager vs. lazy transformations, autodiff under the hood, and Normalizing Flows. Watch the full session here: dub.link/Ihd3Zc6 #PyMC #ML

𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐁𝐚𝐲𝐞𝐬𝐢𝐚𝐧 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐨𝐧 𝐲𝐨𝐮𝐫 𝐨𝐰𝐧 𝐜𝐚𝐧 𝐛𝐞 𝐬𝐥𝐨𝐰. Hear how Leonardo leveled up in the Applied Bayesian Modeling Workshop. Next cohort starting Oct 6: dub.link/admGEW9 #BayesianModeling #PyMC #MCMC

We just dropped the most comprehensive #PyMC-Marketing vs. #Meridian 𝐐𝐮𝐚𝐧𝐭𝐢𝐭𝐚𝐭𝐢𝐯𝐞 𝐂𝐨𝐦𝐩𝐚𝐫𝐢𝐬𝐨𝐧 ever conducted! Check out our findings & code 👇👇 dub.link/CLWnkdf #MMM #MarketingMixModel #PyMCMarketing #Meridian

Behind every #PyMC model is #PyTensor — a computational graph library for speed, flexibility & autodiff. Session 1 of our PyTensor Workshop is live 🎥 👉 dub.link/pytensor-gra... #PyMC #Python #MachineLearning

Most data scientists model. Few master uncertainty. Join our Oct 6 Applied #Bayesian Modeling Workshop & level up. 👉 dub.link/QWC7F2N

PyMC-Marketing 0.16.0 is live! Sensitivity analysis, #Fivetran loaders & more. Available now on GitHub 👉 dub.link/bGBLG2V #Bayesian #MMM #PyMC

We had an incredible time at PyData Berlin ✨ Such a vibrant community, from the conversations and presentations to the speakers and attendees, the energy was just amazing. A huge thank you to @pydata.bsky.social for continuing to nurture a community that inspires and connects us all!🙌

Stop waiting weeks for modeling answers! Our new Expert Access Program (EAP) gives your team direct access to our #Bayesian and #PyMC experts for timely answers, guidance, and confidence to move faster. Learn more👉 dub.link/qKrWGwa

🤝 Announcing PyMC Labs x @fivetran.bsky.social Partnership: Marketing Mix Models in minutes, not weeks Data prep was the biggest #MMM bottleneck. We solved it. ✓ Direct integration with Fivetran ad_reporting ✓ Production-grade Bayesian MMMs instantly 👉 dub.link/csv37dq