Stop testing AI agents like software. Start testing them like Data Scientists. Learn how we build scientific guardrails for agent reliability. Register for our Feb 25 webinar 👇 dub.link/p9IiuT1 #GenAI #AgenticAI #AIEngineering #BayesianModeling #PyMC #MLOps

Stop burning budget on ad creatives that haven’t been tested. A/B test your ads against synthetic U.S. consumers before you launch! Less guesswork. Lower risk. 👉 Test your creatives: dub.link/oFT1mle #AdTesting #MarketingScience #SyntheticConsumers

Learn Bayesian regression modeling from the people building #PyMC, #Bambi & #CausalPy. 4 weeks. Live sessions. Real-world use cases. 👉 Registration now open: dub.link/2CDdYLK #BayesianStatistics #Baysian

Bayesian #MarketingAnalytics isn’t about complicated math. It’s about making decisions under uncertainty. Our #PyMC Labs’ 5-step MMM workflow shows how to go from raw data → probabilistic decisions → real-world action. 👉 Join the course: dub.link/zxxlnd6 #MMM #Bayesian

Agentic Data Science isn’t about syntax; it’s about reasoning under uncertainty. On Feb 25, we will break down how we engineer trust into modelling agents at #PyMC_Labs 👉 Signup here: dub.link/M02HlTF #AgenticAI #DataScience #AgenticDataScience

Bayesian MMM as a decision engine 🧠 Causal funnels with PyMC-Marketing, optimized with PyTensor, and explored via marimo with interactive counterfactuals. Full walkthrough by Teemu Säilynoja 👇 dub.link/I4o42dP #PyMC #MMM #MarketingAnalytics

Creative A/B testing shouldn’t take weeks. We just launched Synthetic Consumers, for instant research-grade feedback on what actually resonates with audiences. Test more. Decide faster. Improve ROI. 👉 Try it here: dub.link/fKdMNGr #productLaunch #MarketingTech #MarketResearch

Want to build the future of decision intelligence? Join #PyMC Labs in contributing to #CausalPy; open-source, Bayesian-powered causal inference for real-world problems. 🚀Watch onboarding: dub.link/3hk7lU0 🧩GitHub: github.com/pymc-labs/Ca... #CausalInference #OpenSource

Overconfident CLV models are quietly costing your marketing team millions. 📉 Learn directly from the team behind #PyMC in our #Bayesian Marketing Analytics course. Quantify uncertainty & make smarter decisions. 🔗Register now: dub.link/gb2YOyp #MarketingAnalytics #CLV

Mastering Media Saturation: New Technical Guide for PyMC-Marketing Visualize diminishing returns and optimize budget allocation with our new technical guide. 👉 Check for the full notebook and the underlying implementation here: dub.link/UaF3IZm #MMM #Bayesian #PyMC

Struggling to turn marketing data into confident decisions? Our new Bayesian Marketing Analytics course helps you optimize budgets, model uncertainty, simulate scenarios & act on insights. Registration open now 👉 dub.link/3AmKMh6 #MarketingAnalytics #Bayesian

Stop wasting marketing budget on broken attribution! Our Bayesian Marketing Analytics Course with Tim McWilliams, Colt Allen, Carlos Agostini & Ben Vincent helps you master marketing ROI. 👉 Register now: dub.link/zggZctl #Bayesian #MarketingStrategy #PyMC

Agentic Causal Inference is here! 🙌 By connecting cursor to marimo via MCP, Gemini 3 Pro can execute and iterate on CausalPy models in real-time. From automated sensitivity analysis to Bayesian transparency! 👉Watch: ggl.link/Ifw0lVt #CausalPy #AgenticAI

🚨 Final Call: Master Bayesian Modeling with the creators of #PyMC! Learn from @allendowney.bsky.social , Chris Fonnesbeck & Vianey Leos Barajas in this 4-week course. 🗓 Starts: Monday, Jan 12 ⏳ Reg Closes: Tomorrow! Register: dub.link/cLOwlUm #Bayesian

Decisions without uncertainty are gambles. Final week to join our Applied #Bayesian Modeling course starting Jan 12. Master the workflow with @allendowney.bsky.social , Chris Fonnesbeck, and Vianey Leos Barajas. 👉 Sign up today: dub.link/WTOSi6n #PyMC #DataScience

Introducing: The Bayesian Marketing Analytics Course by PyMC Labs. Stop guessing if your ROI is real or just market noise. Master uncertainty-aware decision rules and causal inference in a course led by #PyMC lead practitioners. Join our February cohort: dub.link/AHtL0NY

Most New Year resolutions focus on adding tools. In 2026, the real gap is trust. Move beyond "another model" and master the science of uncertainty. Join our Applied #Bayesian Modeling Course on Jan 12 to build systems stakeholders rely on. Register here: dub.link/y7LTPNO

What is the best way to master #Bayesian methods? Ask our students! Chris Hires says the feedback loop with @allendowney.bsky.social , Chris Fonnesbeck, & Vianey Leos Barajas is a game changer for meeting modeling goals. Stop guessing, start building. Jan cohort: dub.link/fYUT3jk

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