[Online] Building an in-house marketing analytics solution

🎙️ Speaker: Niall Oulton, Thomas Wiecki | ⏰ Time: 16:00 UTC / 9am PT / 12pm ET / 6pm Berlin

Join us for a dynamic discussion on building your own in-house marketing analytics solution and mastering marketing effectiveness:

In today's marketing landscape, understanding how your marketing efforts impact your business has become a critical component for success. This meetup will provide an exploration of marketing effectiveness measurement and why it's integral to long-term growth..

Join our expert panel as they navigate the pros and cons of outsourcing marketing analytics to an agency versus developing an in-house solution. The discussion will encompass agency benefits like broad industry expertise, advanced tools, and unbiased perspectives, weighed against the financial commitments, reduced autonomy, and transparency issues. On the other hand, in-house solutions offer control over data and processes, domain knowledge, responsiveness, confidentiality, and potential cost savings, but come with their own challenges.

We are excited to introduce a potential solution - PyMC - Marketing (https://www.pymc-marketing.io/en/stable/index.html). This Bayesian, open-source software offers a transparent, modifiable solution. It's an exciting advancement in the marketing analytics space, perfect to build an in-house marketing measurement solution, as seen by Bolt in their latest case study:[ https://bolt.eu/en/blog/budgeting-with-bayesian-models-pymc-marketing/](https://bolt.eu/en/blog/budgeting-with-bayesian-models-pymc-marketing/)

Don't miss this opportunity to gain insights from industry leaders and meet like-minded professionals who are passionate about leveraging data for marketing effectiveness. Whether you're a seasoned CMO or a marketing analyst, there's something for everyone in this meetup.

📜 Outline of Talk / Agenda:

• 5 min: Intro to PyMC Labs and speakers
• 45 min: Presentation, panel discussion
• 10 min: Q&A

💼 About the speaker:

1. Niall Oulton
   Niall Oulton has built a reputation as a leading expert in the field of marketing analytics, with a specialization in Bayesian Marketing Mix Modelling. His career, spanning over a decade, has seen him on both sides of the business landscape - agency and client. His rich background provides him with a unique perspective, making him an expert in understanding and navigating the complexities of both worlds.
   Previously, Niall played an integral role in the development and deployment of an entire Bayesian MMM workflow at a global agency. This experience enabled him to gain valuable insight into the potential risks, benefits and pitfalls of in-housing a marketing effectiveness measurement programme.

🔗 Connect with Niall Oulton:
👉 LinkedIn: https://www.linkedin.com/in/nialloulton20/
👉 Twitter: https://twitter.com/niall20
👉 GitHub: https://github.com/nialloulton
👉 Website: https://1749.io/

2. Dr. Thomas Wiecki (PyMC Labs)
   Dr. Thomas Wiecki is an author of PyMC, the leading platform for statistical data science. To help businesses solve some of their trickiest data science problems, he assembled a world-class team of Bayesian modelers and founded PyMC Labs -- the Bayesian consultancy. He did his PhD at Brown University studying cognitive neuroscience.

🔗 Connect with Thomas Wiecki:
👉 GitHub: https://github.com/twiecki
👉 Twitter: https://twitter.com/twiecki
👉 Website: https://twiecki.io/

📖 Code of Conduct:
Please note that participants are expected to abide by PyMC's Code of Conduct.

🔗 Connecting with PyMC Labs:
👥 LinkedIn: https://www.linkedin.com/company/pymc-labs/
🐦 Twitter: https://twitter.com/pymc_labs
🎥 YouTube: https://www.youtube.com/c/PyMCLabs
🤝 Meetup: https://www.meetup.com/pymc-labs-online-meetup/

🔗 Connecting with PyMC Open Source:
💬 Q&A/Discussion: https://discourse.pymc.io
🐙 GitHub: https://github.com/pymc-devs/pymc
💼 LinkedIn: https://www.linkedin.com/company/pymc/mycompany
🐥 Twitter: https://twitter.com/pymc_devs
📺 YouTube: https://www.youtube.com/c/PyMCDevelopers
🎉 Meetup: https://www.meetup.com/pymc-online-meetup/