According to one study, the average smartphone user spends approximately 2.5 hours each day on their phone, engaging in around 76 sessions. This level of mobile phone usage has been likened to a modern-day “pacifier,” highlighting consumers’ strong attachment to their devices.
Additionally, cell phone subscribers have surged to 4 billion, encompassing 68 percent of the global population. The extended time spent on traditional and digital media, along with the availability of cell phones, underscores the significant role media plays in shaping consumer experiences and information consumption.
This change presents both opportunities and challenges for businesses and marketers to effectively engage with consumers across these diverse media channels and leverage the digital landscape to deliver relevant and compelling content.
The constant availability of new information, entertainment, and opportunities for engagement creates a cycle of instant gratification and short attention spans, a phenomenon that is sometimes referred to as the “consumer attention deficit syndrome”.
Competing For Consumer Attention
So how should a marketer compete more effectively for consumer attention?
To mitigate the adverse consequences of an attention-starved world, marketers should begin to track metrics such as attention duration, bounce rates, or conversion rates. This will allow marketers to assess the effectiveness of their strategies and make data-driven decisions to optimize their efforts in capturing consumer attention and driving positive outcomes.
An analysis of the attention economy leads to our central thesis: four key metrics are critical to surviving and thriving in the hyper-digital age—Consumer Attention, Engagement, Resonance/Brand Attachment, and Trust. Accordingly, our Higher Engagement model—Attention, Resonance/Brand Attachment, and Trust (HEART)—is essential for success in an era of hyper-digitalization.
Engagement is a broad construct that incorporates customers’ cognitive, emotional, and behavioral dimensions, and there are multiple ways of measuring customer engagement based on these three dimensions. Brand resonance comprises brand attachment and brand community. A high degree of resonance indicates a high degree of loyalty to the brand. Brand trust is the willingness of the average consumer to rely on the brand’s ability to perform its stated function.
In a hyper-digital world, where interactions are instantaneous and relationships can be easily formed or broken, organizations need to prioritize building trust with their users right from the start. In the context of decentralization and the rise of AI, building and maintaining trust with customers is an ongoing process.
The Six Pillars of Brand Marketing
What are some pillars of brand marketing that will enhance the HEART of branding?
A six-pillar framework offers guidance for marketers to navigate this changing landscape. It emphasizes the importance of:
- Purpose-driven branding.
- Creating memorable phygital experiences.
- Leveraging platforms and technology.
- Encouraging active participation from consumers.
- Enhancing product and communications personalization.
- Fostering partnerships.
By incorporating these principles into their strategies, marketers can effectively acquire and strengthen consumer-brand relationships in the post-digital world.
The Benefits of AI in Marketing
AI offers many benefits to marketers for enhancing attention, engagement, resonance, and trust. AI redefines testing and learning by enabling brands to automate, scale, and optimize experimentation with greater precision and adaptability. AI-powered models can continuously learn and adapt based on user attention and engagement, allowing brands to quickly identify high-performing combinations of content, layout, pricing, or user flows.
Another powerful capability is synthetic testing with AI-generated personas. By simulating user behavior through digital personas trained on historical data, AI allows teams to test features, interfaces, and messaging in a low-risk environment. These synthetic users provide diverse and scalable testing opportunities, helping predict likely outcomes such as user attention, engagement, resonance, and trust.
AI enables continuous learning loops, integrating feedback from experiments, customer behavior, and platform performance into adaptive systems. This ongoing feedback refines personalization models, product features, and customer journeys in near real-time.
By investing in strategies that prioritize consumer engagement, resonance, and trust, and by leveraging AI-powered tools, brands can position themselves for success in the dynamic and ever-evolving marketplace.
The author, Vanitha Swaminathan, is the Thomas Marshall Professor of Marketing at the University of Pittsburgh School of Business