Marketing Science

← Back to Business, Finance & Strategy

Advertising effectiveness, marketing strategy, branding, and growth/attribution research. Sub-rubric of the former Social Sciences catch-all.

Welcome to the Marketing Science section of Mental Momentum Research. Transitioning from our broader social sciences coverage, this dedicated hub applies empirical rigor to advertising effectiveness, brand building, go-to-market execution, and attribution. By blending cognitive psychology with quantitative growth models, our research dissects how modern platforms operate and how consumers process persuasive communications.

At the individual level, we examine the cognitive science of persuasion. This includes analyzing how narrative transportation suppresses critical thinking and empathy to drive brand persuasion, how construal fit aligns advertisement abstraction with consumer mindsets, and how the Elaboration Likelihood Model explains behavioral shifts through central and peripheral processing routes. We also analyze the structural dynamics of communication, from the optimal sequencing of hooks, arguments, and calls to action in persuasive speech to how cultural power distance and authority bias influence the efficacy of expert and celebrity endorsements.

At the organizational and platform level, we investigate the mathematical realities of scale. Our research explores the mechanics of product-market fit, capital-efficient B2B go-to-market architectures, and the unit economics of product-led and community-led growth in SaaS. We unpack the math of network effects and viral loops, demonstrating why ninety-nine percent of viral sharing cascades fail instantly due to algorithmic retention gates, how true platform defensibility differs from simple growth loops, and how the sixty-forty rule balances brand building with immediate sales activation.

Finally, we address the tactical and measurement challenges defining the current landscape. We provide data-driven benchmarks for paid social performance, email marketing ROI (averaging forty-two dollars for every dollar spent), and influencer tier dynamics, where micro-influencers deliver peak returns of seven dollars and fourteen cents. We analyze the technical realities of modern distribution, including DMARC email compliance, LinkedIn's algorithmic updates like Depth Score optimization, and signal-based cold outreach. Crucially, we tackle the growing tracking crisis, examining how SEO content marketing drives substantial return on investment despite privacy laws, and how dark social and generative AI leave over seventy percent of the B2B buyer journey invisible to standard attribution tools.

25 published articles