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Recast
เข้าร่วมเมื่อ 28 มิ.ย. 2022
Where marketers learn modern marketing measurement frameworks.
Recast Office Hours #3 - Backtests and Holdout Forecast Accuracy Checks
Recast's Office Hours are educational sessions where marketing-focused data scientists can get answers to their measurement questions from a group of experts.
Session #3 begins with a focus on backtests and holdout forecast accuracy checks, and opens up for audience Q&A from there.
Interested in attending Office Hours? They're hosted monthly by Recast Co-Founders Michael Kaminsky and Tom Vladeck. Look out on LinkedIn and the Recast newsletter for the next invite: getrecast.com/newsletter/
Session #3 begins with a focus on backtests and holdout forecast accuracy checks, and opens up for audience Q&A from there.
Interested in attending Office Hours? They're hosted monthly by Recast Co-Founders Michael Kaminsky and Tom Vladeck. Look out on LinkedIn and the Recast newsletter for the next invite: getrecast.com/newsletter/
มุมมอง: 47
วีดีโอ
Recast's Marketing Measurement Coffee-Break Session #12 - Aleksander Molak
มุมมอง 33321 วันที่ผ่านมา
Recast's Coffee Breaks include deep dives into complex topics with experts and discussion Q&A with operators in an informal setting. We'll cover everything from digital tracking and attribution to running effective experiments and MMM. In this session, Aleksander Molak, a machine learning researcher, author, advisor, educator, and entrepreneur specializing in causality, natural language proces...
Recast's Marketing Measurement Coffee-Break Session #11 - John James
มุมมอง 336หลายเดือนก่อน
Recast's Coffee Breaks include deep dives into complex topics with experts and discussion Q&A with operators in an informal setting. We'll cover everything from digital tracking and attribution to running effective experiments and MMM. In this session, John James, a sales and marketing advisor to leading D2C and B2B brands, joins us to discuss brand marketing. We'll explore the history of br...
Recast Office Hours #2 - Parameter Recovery
มุมมอง 133หลายเดือนก่อน
Recast's Office Hours are educational sessions where marketing-focused data scientists can get answers to their measurement questions from a group of experts. Session #2 begins with a discussion of parameter recovery (what it is, why it's important, how to do it, etc.) and opens up for audience Q&A from there. Interested in attending Office Hours? They're hosted monthly by Recast Co-Founders Mi...
Recast - How Bayesian MMM Works
มุมมอง 3712 หลายเดือนก่อน
How does the algorithm that underlies Recast actually work? We get this question a lot, and there are a couple of different ways to explain it. In this video, our co-founder Michael Kaminsky gives a simplified explanation of one way that we like to think about how the algorithm works. We have a bunch of documentation for data scientists or statisticians who want to get really into the weeds on ...
Recast Office Hours #1 - Variables to Include in an MMM
มุมมอง 2532 หลายเดือนก่อน
Recast's Office Hours are educational sessions where marketing-focused data scientists can get answers to their measurement questions from a group of experts. Session #1 started with a discussion on which variables to include in an MMM and opened up for audience Q&A from there. Office Hours are hosted by Recast Co-Founders Michael Kaminsky and Tom Vladeck every month.
Recast's Marketing Measurement Coffee-Break Session #10 - Gufeng Zhou
มุมมอง 2703 หลายเดือนก่อน
Recast's Coffee Breaks include deep dives into complex topics with experts and discussion Q&A with operators in an informal setting. We'll cover everything from digital tracking and attribution to running effective experiments and MMM. In this session, Gufeng Zhou, Creator, DS lead and PM of Project Robyn, comes in to talk about how Robyn works, features, its inception, and methodology answer ...
Recast's Marketing Measurement Coffee-Break Session #9 - Prof. Peter Fader
มุมมอง 4444 หลายเดือนก่อน
Recast's Coffee Breaks include deep dives into complex topics with experts and discussion Q&A with operators in an informal setting. We'll cover everything from digital tracking and attribution to running effective experiments and MMM. In this session, Professor Peter Fader, the Frances and Pei-Yuan Chia Professor of Marketing at The Wharton School of the University of Pennsylvania, comes in t...
Modern Analytics for Marketers (#7): Dynamic Spend Deployment and Forecast Checking
มุมมอง 1424 หลายเดือนก่อน
Welcome to the seventh and final episode of our series, "Modern Analytics for Marketers," where we explore how to validate Marketing Mix Models (MMM) by putting them into practice and using their recommendations to optimize your marketing budget. Your host, Michael Kaminsky, an experienced econometrician, entrepreneur, and marketing science researcher, guides you through the process of using yo...
Modern Analytics for Marketers (#6): Validating Marketing Mix Models with Lift Tests and Experiments
มุมมอง 2775 หลายเดือนก่อน
Welcome to the sixth episode of our series, "Modern Analytics for Marketers," where we explore how lift tests and incrementality experiments can be used to validate and improve Marketing Mix Models (MMM). Your host, Michael Kaminsky, an experienced econometrician, entrepreneur, and marketing science researcher, takes you on a journey to understand the power of combining these two methods for me...
Modern Analytics for Marketers (#5): Stability & Robustness Checks for Marketing Mix Models
มุมมอง 1925 หลายเดือนก่อน
Join us for the fifth episode of our series, "Modern Analytics for Marketers," as we explore the crucial role of stability and robustness checks in validating Marketing Mix Models (MMM). Your host, Michael Kaminsky, an experienced econometrician, entrepreneur, and marketing science researcher, guides you through these essential techniques for ensuring your models are reliable and insightful. In...
Recast's Marketing Measurement Coffee-Break Session #8 - Prof. dr. Koen Pauwels
มุมมอง 2025 หลายเดือนก่อน
Recast's Coffee Breaks include deep dives into complex topics with experts and discussion Q&A with operators in an informal setting. We'll cover everything from digital tracking and attribution to running effective experiments and MMM. Hosted by Michael Kaminsky, co-founder of Recast. In this session, Prof. dr. Koen Pauwels, ex-Amazon and Vice Dean of Research at DMSB, joins in to talk about m...
Modern Analytics for Marketers (#4): Parameter Recovery
มุมมอง 3885 หลายเดือนก่อน
Dive into the fourth episode of our series, "Modern Analytics for Marketers," where we explore the critical technique of parameter recovery in validating statistical models, particularly Marketing Mix Models (MMM). Join Michael Kaminsky, an accomplished econometrician, entrepreneur, and marketing science researcher, as he unveils the power of this essential validation method. In This Episode: P...
Google Meridian MMM: Key Features and Limitations
มุมมอง 1.5K5 หลายเดือนก่อน
What do we think of Google Meridian? There's a lot to like about Google’s Meridian MMM package, including its flexible model specification, propagation of uncertainty through the entire model, and estimation of parameters that allow for uncertainty. However, practitioners should be mindful of some fundamental limitations carried over from LightweightMMM including Meridian’s lack of time-varying...
Recast's Marketing Measurement Coffee-Break Session #7 - Krystina Rubino
มุมมอง 1446 หลายเดือนก่อน
Recast's Coffee Breaks include deep dives into complex topics with experts and discussion Q&A with operators in an informal setting. We'll cover everything from digital tracking and attribution to running effective experiments and MMM. Hosted by Michael Kaminsky, co-founder of Recast. In this session, Krystina Rubino, GM of Offline Practice at Right Side Up, joins us to talk about the right an...
Recast Feature Demo: Modeling Spikes (Holidays and Promotions)
มุมมอง 1196 หลายเดือนก่อน
Recast Feature Demo: Modeling Spikes (Holidays and Promotions)
Recast Feature Demo: Handling Contextual Metrics
มุมมอง 646 หลายเดือนก่อน
Recast Feature Demo: Handling Contextual Metrics
Recast Feature Demo: Channel Level Deep Dives
มุมมอง 836 หลายเดือนก่อน
Recast Feature Demo: Channel Level Deep Dives
Recast Feature Demo: Last Week's Performance Snapshot
มุมมอง 796 หลายเดือนก่อน
Recast Feature Demo: Last Week's Performance Snapshot
Recast Feature Demo: Handling Lower Funnel Channels
มุมมอง 1186 หลายเดือนก่อน
Recast Feature Demo: Handling Lower Funnel Channels
Recast Feature Demo: How We Do Holdout Testing
มุมมอง 2096 หลายเดือนก่อน
Recast Feature Demo: How We Do Holdout Testing
Modern Analytics for Marketers (#3): Holdout Accuracy and Backtesting
มุมมอง 3346 หลายเดือนก่อน
Modern Analytics for Marketers (#3): Holdout Accuracy and Backtesting
Recast's Marketing Measurement Coffee-Break Session #6 - Casey Johnson
มุมมอง 957 หลายเดือนก่อน
Recast's Marketing Measurement Coffee-Break Session #6 - Casey Johnson
Modern Analytics for Marketers (#2): Why is validation challenging in Marketing Mix Modeling (MMM)?
มุมมอง 4417 หลายเดือนก่อน
Modern Analytics for Marketers (#2): Why is validation challenging in Marketing Mix Modeling (MMM)?
Modern Analytics for Marketers (#1): What is Marketing Mix Modeling and why is Validation important?
มุมมอง 8497 หลายเดือนก่อน
Modern Analytics for Marketers (#1): What is Marketing Mix Modeling and why is Validation important?
Maximize Your Marketing ROI with Recast: Comprehensive Features Walkthrough of our MMM Platform
มุมมอง 1.9K8 หลายเดือนก่อน
Maximize Your Marketing ROI with Recast: Comprehensive Features Walkthrough of our MMM Platform
Recast's Marketing Measurement Coffee-Break Session #5 - Ben Dutter
มุมมอง 3148 หลายเดือนก่อน
Recast's Marketing Measurement Coffee-Break Session #5 - Ben Dutter
Recast's Marketing Measurement Coffee-Break Session #4 - Zach Epstein
มุมมอง 2619 หลายเดือนก่อน
Recast's Marketing Measurement Coffee-Break Session #4 - Zach Epstein
Recast's Marketing Measurement Coffee-Break Session #3 - Arun Srinivasan
มุมมอง 18110 หลายเดือนก่อน
Recast's Marketing Measurement Coffee-Break Session #3 - Arun Srinivasan
Recast's Marketing Measurement Coffee-Break Session #2 - Jim Kingsbury
มุมมอง 12811 หลายเดือนก่อน
Recast's Marketing Measurement Coffee-Break Session #2 - Jim Kingsbury
15:14 offers a great explanation of why branded search and website visits do not contribute effectively to marketing mix modeling
I'd never heard that story about Nike and Apple before. Almost identical situations. Explains so much
Amazing Content
21:27 has some great resources to learn more 32:35 goes over how to create your own DAGs
Very useful information.
Promo sm
Can you share the blogpost referenced at the video’s timestamp 19:30?
Here you go! www.linkedin.com/pulse/more-precision-mmm-experiment-calibration-robyn-from-meta-gufeng-zhou/
Is there anything that can be done for MMM models to better account for upper funnel activities?
Yes! You just need to model the relationships explicitly. You can read more here: getrecast.com/lower-funnel-channels/
Peter Fader's book "The Customer Centricity Playbook" sits proudly on my bookshelf. Thanks for bringing him on!
Love the way you guys aim to simplify MMM in actionable ways
Glad it's helpful!
fantastic 👏
Very good talk, Michael, thanks for sharing!
Thank you so much!!
The positive and negative points presented in the video are very interesting. I signed up for Meridian's early access list to get access to the code. Do you know if Meridian uses the Fourrie transform to give some kind of weight to trend modeling?
Unfortunately no details yet on any of the underlying transformations. Will be very curious to see / hear once the code is released!
I am excited for this! Eagerly waiting for more episodes!
Also offline channels like Tv, Radio, print are mostly used as Awareness campaigns where as meta and google are used for conversion so how do we differentiate these effects?
We'd recommend to treat them the same!
For Online channels like meta, google we have spends and relevant impressions to check if there is any incremental sales. But for Offline channels like radio, flyers, planograms etc we dont track impressions so jn this case how do we know the incremental effect? or is there any factor we took into mmm model?
Impressions can't tell you if there were incremental sales! Just because there was an impression and then the person converted doesn't mean that the impression *caused* the conversion. We generally recommend using marketing *spend* in an MMM
*promosm* 💖