In this episode of Measurement Talks, the hosts discuss insights from Dr. John Snow's study on Meta's declining advertising performance, diving into the nuances of attribution models versus deterministic analysis. A significant focus is placed on exploring alternative advertising channels beyond Meta, emphasizing the importance of diversifying ad spend across various platforms such as Reddit, Live Intent, and more traditional marketing channels. The dialogue also delves into strategies for audience segmentation, effective message delivery for different demographics, and the value of personalization in advertising. Additionally, the conversation touches on the challenges and opportunities presented by Meta's lack of clear communication regarding internal tests and attribution issues.
Timestamps:
00:00 Welcome to Measurement Talks: Diving into Meta's Performance Mysteries
00:10 Unraveling the Meta Performance Puzzle: Insights and Analysis
02:56 The Humor in Marketing Metrics: A Light-Hearted Interlude
03:42 Exploring Attribution Challenges and Theories in Digital Marketing
10:58 The Quest for New Marketing Channels: Beyond Meta and TikTok
24:31 Mastering Audience Targeting: Incremental Audiences vs. Conversion Optimization
Our promise to you: Every episode will have actions you take back to your business
Bryan was the Director of Efficacy at Kargo and directly helped answer this question for many brands through his work there. Now, he leads marketing for one of the fastest-growing, profitable DTC companies, Nood.
Rishabh led new business at LiveRamp, the largest provider of online digital identity, and directly helped scale many measurement and attribution programs for the ad tech ecosystem. He is now the CEO of Fermat Commerce, a commerce platform that enables content-native shopping that has no attribution loss.
In this episode of Measurement Talks, the hosts discuss insights from Dr. John Snow's study on Meta's declining advertising performance, diving into the nuances of attribution models versus deterministic analysis. A significant focus is placed on exploring alternative advertising channels beyond Meta, emphasizing the importance of diversifying ad spend across various platforms such as Reddit, Live Intent, and more traditional marketing channels. The dialogue also delves into strategies for audience segmentation, effective message delivery for different demographics, and the value of personalization in advertising. Additionally, the conversation touches on the challenges and opportunities presented by Meta's lack of clear communication regarding internal tests and attribution issues.
.svg)
.svg)
In this episode of Measurement Talks, the hosts discuss insights from Dr. John Snow's study on Meta's declining advertising performance, diving into the nuances of attribution models versus deterministic analysis. A significant focus is placed on exploring alternative advertising channels beyond Meta, emphasizing the importance of diversifying ad spend across various platforms such as Reddit, Live Intent, and more traditional marketing channels. The dialogue also delves into strategies for audience segmentation, effective message delivery for different demographics, and the value of personalization in advertising. Additionally, the conversation touches on the challenges and opportunities presented by Meta's lack of clear communication regarding internal tests and attribution issues.
Timestamps:
00:00 Welcome to Measurement Talks: Diving into Meta's Performance Mysteries
00:10 Unraveling the Meta Performance Puzzle: Insights and Analysis
02:56 The Humor in Marketing Metrics: A Light-Hearted Interlude
03:42 Exploring Attribution Challenges and Theories in Digital Marketing
10:58 The Quest for New Marketing Channels: Beyond Meta and TikTok
24:31 Mastering Audience Targeting: Incremental Audiences vs. Conversion Optimization
Our promise to you: Every episode will have actions you take back to your business
Bryan was the Director of Efficacy at Kargo and directly helped answer this question for many brands through his work there. Now, he leads marketing for one of the fastest-growing, profitable DTC companies, Nood.
Rishabh led new business at LiveRamp, the largest provider of online digital identity, and directly helped scale many measurement and attribution programs for the ad tech ecosystem. He is now the CEO of Fermat Commerce, a commerce platform that enables content-native shopping that has no attribution loss.
The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.
A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!
Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.
The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.
A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!
Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.
Uncover marketing measurement secrets with expert insights.
.svg)
.svg)
.svg)
.svg)
.svg)
