The Marketing Architects

Welcome to Nerd Alert, a series of special episodes bridging the gap between marketing academia and practitioners. We're breaking down highly involved, complex research into plain language and takeaways any marketer can use.

In this episode, Elena and Rob explore why consumers sometimes turn on brands after an acquisition, even when the product hasn't changed, and what marketers can do to soften the blow.

Topics covered:[02:05] "When and Why Consumers React Negatively to Brand Acquisitions: A Values Authenticity Account"
[03:00] What is values authenticity, and why does it matter?
[04:05] Why the underdog effect isn't the real culprit
[04:40] How a 15% stake can start eroding consumer trust
[05:55] Five factors that can reduce acquisition backlash
[06:55] What competing brand equities mean for marketers

To learn more, visit marketingarchitects.com/podcast

Resources: Biraglia, A., Fuchs, C., Maira, E., & Puntoni, S. (2023). When and why consumers react negatively to brand acquisitions: A values authenticity account. Journal of Marketing, 87(4), 601–617. https://doi.org/10.1177/00222429221137817

Get more research-backed marketing strategies by subscribing to The Marketing Architects on Apple Podcasts, Spotify, or wherever you listen to podcasts.

95% of senior marketing leaders are already using or planning to use synthetic data within 12 months. So why are so many marketers still on the fence?

In this episode, Elena, Angela, and Rob talk with Peter Weinberg, co-founder of Evidenza and former head of research at LinkedIn’s B2B Institute. They discuss where to start with synthetic audiences, how to assess accuracy, and why brand building still matters as AI changes how people search and decide.

Topics covered:
•    [00:00] Introductions and what synthetic research actually is
•    [03:00] Why 95% of marketing leaders plan to use synthetic data within 12 months
•    [05:00] Synthetic research really replaces ignorance, not traditional surveys
•    [09:00] How to evaluate accuracy in synthetic research tools
•    [10:30] Where marketers should start: find the white spaces first
•    [16:00] Why AI can be creative and what 'temperature' means for marketers
•    [24:00] Why brand still matters in an AI-driven search world
•    [28:00] How Evidenza applied Ehrenberg-Bass principles to build their own brand
•    [34:00] Why more real-time data can lead to worse decisions

To learn more, visit marketingarchitects.com/podcast or subscribe to our newsletter at marketingarchitects.com/newsletter.

Resources:
2025 Qualtrics Article: https://www.qualtrics.com/articles/strategy-research/synthetic-research-breakthrough/

Peter's LinkedIn: https://www.linkedin.com/in/weinbergpeter/

Get more research-backed marketing strategies by subscribing to The Marketing Architects on Apple Podcasts, Spotify, or wherever you listen to podcasts.

Welcome to Nerd Alert, a series of special episodes bridging the gap between marketing academia and practitioners. We're breaking down highly involved, complex research into plain language and takeaways any marketer can use.

In this episode, Elena and Rob explore the first large-scale benchmarking study of distinctive brand assets, and the results challenge some long-held assumptions about which assets actually stick in consumer memory.

Topics covered:[01:35] "Shape-Based Assets Are Strongest: Benchmarking Distinctive Brand Asset Performance Across Industries"
[02:55] What is a distinctive brand asset?
[03:30] Fame vs. uniqueness: the two dimensions of distinctiveness
[04:15] Why color is the weakest asset type
[05:35] The bizarreness effect
[06:00] When narrative assets outperform visual ones

To learn more, visit marketingarchitects.com/podcast

Resources: Phua, P., Bali, L., Anesbury, Z., & Sharp, B. (2026). Shape-based assets are strongest: Benchmarking distinctive brand asset performance across industries. International Journal of Advertising. https://doi.org/10.1080/02650487.2026.2637295

Get more research-backed marketing strategies by subscribing to The Marketing Architects on Apple Podcasts, Spotify, or wherever you listen to podcasts.

More than 40% of American marketers can't define positioning. And 84% of those same marketers rate themselves as above average. Both can't be right.

This week, Elena, Angela, and Rob are joined by Mark Ritson, marketing professor, consultant, and creator of the Mini MBA. Mark walks through his new research with Ipsos on US marketing knowledge, explains why formal training is the single biggest predictor of marketing competence, and shares the one concept every marketer should prioritize. The conversation also covers market orientation, how AI is reshaping marketing careers, and what it takes to stay relevant in the years ahead.

Topics covered:
•    [01:00] Ipsos study reveals the US marketing knowledge gap
•    [04:00] Why formal education is the top predictor of marketing success
•    [08:00] Where marketers can find good training today
•    [13:00] Market orientation as the most important concept to learn
•    [17:00] How AI will reshape marketing careers and roles
•    [24:00] Byron Sharp and Mark Ritson's upcoming Cannes Lions session
•    [27:00] What the rise of AI means for the agency world

To learn more, visit marketingarchitects.com/podcast or subscribe to our newsletter at marketingarchitects.com/newsletter.

Resources:

2025 Adweek Article: https://www.adweek.com/brand-marketing/two-thirds-of-american-marketers-would-fail-a-basic-marketing-test/

Mark Ritson's LinkedIn: https://www.linkedin.com/in/markritson/ 

Get more research-backed marketing strategies by subscribing to The Marketing Architects on Apple Podcasts, Spotify, or wherever you listen to podcasts.

Welcome to Nerd Alert, a series of special episodes bridging the gap between marketing academia and practitioners. We're breaking down highly involved, complex research into plain language and takeaways any marketer can use.

In this episode, Elena and Rob examine how large language models like ChatGPT recommend vendors. They unpack why visibility in AI-generated lists doesn't always mean credibility, and what marketers can do about it.

Topics covered:[01:00] "Visibility is Not Equal to Credibility: Self-Promotion Bias in LLM Generated Recommendations"
[02:30] Three patterns brands use to game AI rankings
[03:50] What ChatGPT admitted when pushed for sources
[04:30] Can better prompts fix the problem?
[04:50] Takeaways for marketers and brands
[05:30] The talent show analogy

To learn more, visit marketingarchitects.com/podcast

Resources:
Sangra, T. (2026). Visibility is not equal to credibility: Self-promotion bias in LLM-generated recommendations. She Innovates AI Research. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6598718

Get more research-backed marketing strategies by subscribing to The Marketing Architects on Apple Podcasts, Spotify, or wherever you listen to podcasts.