PyMC Labs

🚨 Last chance to join this free live workshop tomorrow with Hugo Bowne-Anderson, and @pymc.io experts Allen Downey and Christopher Fonnesbeck

👉 Register here: dub.link/SPAWnaS

💥 CausalPy 0.5.0 is out! Now supports multiple treated units in synthetic control — a big boost for geo-lift analysis and more.

📖 Learn more: dub.link/causalpy-v0-...

#CausalPy #CausalInference #PyMC

Your model isn’t enough if it can’t be trusted.

Learn how to build robust, decision-ready Bayesian models in our live workshop.

🚨 Last chance! Seats close this week.
👉 Save your spot dub.link/pzkZPEL

Featuring Allen Downey, Author of Think Bayes.
#BayesianModeling #PyMC #DataScience

We’re thrilled to partner with Hugo Bowne-Anderson for a free live #Bayesian modeling workshop!

Our PyMC experts, Allen Downey & Chris Fonnesbeck, will teach you how to make better decisions under uncertainty —using real-world probabilistic models.

👉 Sign up: lu.ma/m4s4cvtp

Can LLMs play The Price is Right? Synthetic consumers—LLMs simulating human survey participants—are becoming a powerful tool for marketing and behavioral research. They promise faster iteration, lower costs, and broader flexibility th...

We made LLMs play The Price Is Right — with real-world CPG prices.

50 models. One goal: bid as close as possible without going over.

🤖 Some nailed it
💸 Some flopped hard

What does this say about LLMs as synthetic consumers?

Full story 👇
dub.link/llms-price-r...

If you can’t explain your model, can you really trust it?

🎥 Hear from Evan Wimpey on how our Applied Bayesian Modeling Workshop teaches you to build transparent, business-ready models with PyMC.

Seats are limited → dub.link/bayes-modeling

#PyMC #MCMC #DataScience

🚀 Say goodbye to months-long MMM cycles!

🎯 Meet the MMM Agent (BETA):
→ Built on PyMC-Marketing
→ Fast. Causal. Configurable.
→ Inline charts, budget scoring, MLflow built-in

💬 DM or email: mmm-agent-beta@pymc-labs.com
Read the full blog 👉 dub.link/mmm-agent-beta

#MMM #Bayesian

🔥 PyMC-Marketing release is live!

→ No repeat transactions? Bring covariates for better predictions.

→ Zero-spend channels breaking your MMM? Fixed.

→ Scaled channel contributions now computed post-sampling — faster & nutpie-ready!

🔗 dub.link/pymc_marketing

#PyMC #MMM

Everyone can do ML. Few can do Bayesian modeling.

Set yourself apart with skills that drive deeper insight + better decisions.

Join the next Applied Bayesian Modeling Workshop by PyMC Labs. Hands-on. Practical. Real-world.

📅 Limited seats → dub.link/bayes-workshop
#PyMC

Modern marketing needs faster answers & safer testing.

Recently at databricks #DataAISummit we shared two real tools:
⚙️MMM Agent → insights in hours, not weeks
🧪Consumer Lab → test pre-launch ideas with synthetic panels

Not theory. Already live.
DM for a pilot.
#MMM #Bayesian

🚨 We’re opening our private Bayesian modeling workshops to the public — for the first time

After this course, you won’t just build better models.

You’ll know how to explain them — to technical and non-technical stakeholders alike

🎓 Led by top PyMC experts.
📎 Register here: dub.link/68uMjpp

📉 Market data is messy. Traditional models assume too much.

With PyMC, finance teams can:

✅ Quantify uncertainty
✅ Handle skewed, fat-tailed data
✅ Improve VaR, pricing & more

🔗 Read the full blog:
👉 dub.link/eonSuxd

📬 Need help applying this?
DM us or email info@pymc-labs.com

#finance #bayes

✍️ Writing a PyMC model isn’t easy — even for pros.

So we built ModelCraft — an AI modeling agent that writes PyMC code and checks it before you ever see it.

✅ No shape errors
✅ No hallucinated functions
✅ Just clean, working Bayesian models

📄 Full write-up: dub.link/6frGLdT

#genai #pymclabs

Over 150 registered to see our AI MMM Insights Agent in action—built on PyMC-Marketing.

It takes you from raw data to real-time “what-if”s with causal insights and adaptive Bayesian modelling—fast.

📺 Catch the replay: dub.sh/Zk4km1n
Want early access? DM us or comment “interested”.

#MMM #GenAI

🚀 CausalPy just hit 1,000+ ⭐ on GitHub — and crossed 120K downloads!

When A/B tests stop, CausalPy starts.

Bayesian. Interpretable. Open-source.

Huge thanks to everyone who’s contributed to the project.
👉Checkout CausalPy: dub.link/causalpy

#CausalPy #PyMCLabs #OpenSource #Bayesian #DataScience

🧪 What if you could test product decisions before they happen?

We built AI Innovation Lab to simulate real buyer behaviour—so you can test, iterate, and validate ideas without spending on focus groups

👉 dub.link/innovation-lab
👇 Want Early Access?
📬 Reach out: info@pymc-labs.com
#genaI #innovation

What if you could compress weeks of Bayesian Marketing Mix Modeling into minutes? 🤯

Join our free webinar to see how our Insight Agents-AI coworkers automate the full modeling workflow so you can focus on strategy, not code.

📅June 17 | 4 PM UTC
🔗RSVP: www.meetup.com/pymc-labs-on...

#GenAI #MMM

🔍 Product innovation is still broken in 2025.

Siloed teams. Pricing relies on guesswork. Design comes late. Feedback’s too late

🚀 AI Innovation Lab fixes that:
✅ Smart briefs
✅ Expert agent reviews
✅ 90% match synthetic panels and more

🔗 dub.link/innovation-lab
📬 Early access: info@pymc-labs.com

🎉 PyMC-Marketing just hit 50K monthly and 283K total downloads!

What started as a small experiment in Bayesian marketing analytics is now a widely used open-source tool for MMM, CLV, and more.

Huge thanks to everyone contributing code, docs, & ideas❤️

👉 dub.link/pymc-marketing

Can Synthetic Consumers Answer Open-Ended Questions? - PyMC Labs

Can LLMs answer open-ended survey questions like real people? 🧠

@allendowney.bsky.social tested GPT-4, Claude & others on 2020 ANES data. Models matched the order of top concerns—but often cited issues (like inflation) that weren’t big then. Useful, but not time-aware.

👉 dub.link/synth-respon...

Probabilistic Time Series Analysis: Opportunities and Applications - PyMC Labs

Forecasting isn’t just about prediction — it’s about decision-making under uncertainty.

@juanitorduz.bsky.social shows how Bayesian models help:
🔹 Sparse data? Use hierarchies
🔹 Stockouts? Use censored likelihoods
🔹 Messy demand? Use priors + state spaces

Practical guide 👉 dub.sh/prob-forecas...

🤔 What if you could simulate public response to news, policies, or campaigns—before they happen?

🧠 SocioVerse uses LLM agents + 10M real user profiles to model social behavior at scale.

🗳️ Election sims, 📰 news feedback, 💸econ surveys.

📄 dub.sh/SocioVerse

#AI #LLM #SimTech

🔍 NNN – a Transformer-based model for Marketing Mix Modelling

It handles:
📦 High-dimensional embeddings (e.g. search queries, ad creatives)
👀 Attention-based temporal modeling
🔗 Direct + indirect attribution paths (e.g. YouTube → Search → Sales)

📄 dub.sh/arxiv-paper-...

#MMM #AI #DataScience

Market research is changing fast. GenAI isn't just automating, it’s transforming how insights are made.

Key shifts:

1️⃣ Speeds up interviews, analysis, & reports
2️⃣ Uses synthetic data instead of traditional surveys
3️⃣ Introduces new methods like digital twins

👉 dub.sh/gen-ai-resea...

🚀 Synthetic consumers + LLM social sims = fast-evolving frontier

New paper highlights LLM social sims' potential for markets, products, and org design—evaluation remains the key hurdle

📄 dub.sh/llm-social-s...

Think this could help your use case?
👉 info@pymc-labs.com

#GenAI #LLM #Research

🔍 Can LLMs generate free-text responses valid for qualitative research? This study compares AI vs human interviews

Findings 👇
✔️ AI captured key themes from open-ended data
❌ But lacked human-like spontaneity & variation

📄 dub.link/arxiv-2309-0...

📩  Want to dive deeper? info@pymc-labs.com

#GenAI

How close are LLMs to modeling real human behavior?

We tested GPT-4o, Claude 3, Gemini, and others on actual survey data (GSS-style). Some were shockingly human-like, others flopped

📊 Full results + methods → dub.link/synth-consum...

🤝 Exploring synthetic consumers? Let’s chat: info@pymc-labs.com

We just launched our first white paper!

By 2027, AI-generated consumers could power 50%+ of market research data.

📄 What’s inside?
✅ What synthetic consumers are
✅ How businesses use them
and more....

🔗 dub.sh/61AEavU
📩 Curious how this could benefit your org?
👉 info@pymc-labs.com

#GenAI

🔥 Harvard research confirms: GPT-4 boosts product innovation.

At PyMC Labs, Our AI agents trained in design, behaviour & market dynamics collaborate to explore, generate & validate ideas pre-launch.

🔗 papers.ssrn.com/sol3/papers....

✅ Want to See it in action? Contact us at info@pymc-labs.com