LLMs give surface-level MMM advice
So we built AI skills for pymc-marketing that know how to set priors, handle adstock carryover, and run budget optimization.
They ship with the repo and work in #Cursor/#Claude
👉Github Repo: dub.link/e5qeoQE
#PyMC #MediaMixModeling
Our Sports Analytics Team is heading to #SSAC26!
Join us for a hands-on workshop on Bayesian Spatial Modeling of #NHL goaltending. From shot difficulty to rink-wide scoring probability, see #PyMC in action!
👇 dub.link/qMEf0Ni
#SportsAnalytics #BayesianModeling #Hockey
We gave Claude a 15-page PyMC best-practices cheat sheet.
Pass rates jumped from 60% → 93%.
Hardest tasks saw the biggest gains:
• Stochastic volatility: 0% → 67%
• Runtime: 19 min → <3 min
and more ..
👉Benchmark: dub.link/KZxxZfQ
👉 Get the skill: hub.decision.ai/skills/pymc-...
#BayesianModeling
Your next focus group might be synthetic🤖
Traditional Research is slow, expensive, and limits testing. Synthetic consumers help you simulate feedback and iterate faster.
We put together a practical guide on #SyntheticConsumers : dub.link/jczwvFL
#MarketResearch #AI
We’ve been building agentic data science systems; the hardest part isn’t execution, it’s knowing if an agent’s conclusions can be trusted.
Join our webinar on Feb 25 with #PyMC Labs to learn how we catch failures & build trust
👉 dub.link/SUHEjct
#AgenticDataScience #MMM
How do #MLB teams evaluate pitchers behind the scenes? ⚾
We use Bayesian Additive Regression Trees to isolate pitcher skill from defense and park effects.
See why BART outperforms XGBoost for building pitch quality metrics 👉 dub.link/McvDt9S
#Baseball #SportsAnalytics
#Bayesian causal inference is about generative mechanisms, not just correlations.
Learn how to encode causal assumptions and simulate counterfactuals in our Applied Bayesian Regression Modeling course.
Registration still open 👇
dub.link/PKrUYFP
#PyMC #CausalInference
Bayesian regression shouldn’t stop at good fit and nice plots.
Our Applied Bayesian Regression Modeling course shows how to build models that drive real decisions using #PyMC & #Bambi
👉 Learn more & enroll: dub.link/x1K1vz4
#AppliedRegression #Analytics #DecisionMaking
PyMC-Marketing just hit 1M downloads on GitHub 🙌
Huge thanks to the open-source community; this is just the beginning.
Explore the repo 👉 dub.link/KB2XwIK
#PyMCMarketing #OpenSource #MarketingScience #MMM
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
