In the realm of advertising, disruptive technologies have always been catalysts for change. In previous years, it was programmatic media buying, SEO, and mobile technology. Today, the spotlight shines on artificial intelligence, specifically generative AI. Both brands and consumers now expect the industry to be at the forefront of digital innovation. While AI is not new to advertising, the emergence of generative AI has prompted agencies to reassess their strategies and operations. In 2024, the focus shifts from automation to augmentation.
Agencies find themselves in a Catch-22 situation: apprehensive about AI’s potential to reshape the industry, yet compelled to invest in AI-enabled marketing to meet client demands. According to a report by WPP’s GroupM, AI currently influences 45% of global advertising spend. By 2032, this figure is projected to skyrocket to 90%, surpassing $1.3 trillion in ad revenue. Marla Kaplowitz, CEO of the 4As, underscores the reality: the era of Generation AI demands adaptation for relevance, as irrelevance is a luxury no one can afford.
Amidst this transformative landscape, agencies have an opportunity to overhaul their revenue models. One such avenue is value-based pricing.
Value-based pricing revolves around determining costs based on the perceived value of services rendered to the advertiser. The necessity for agencies to revamp their compensation structures has simmered for decades, but generative AI is poised to accelerate this paradigm shift. This transition demands professionals to cultivate skills beyond automation’s reach: creativity, strategic acumen, emotional intelligence, and cultural fluency. Furthermore, it necessitates agencies to offer reskilling and upskilling programs, empowering professionals to thrive in an evolving environment.
Here’s how AI-driven value-based pricing can be further refined:
- Experimentation and Understanding Value Demonstrators: Agencies and marketers are urged to embrace experimentation, starting with smaller projects to glean insights. Actively involving both agency and advertiser in the discovery process fosters collaborative learning. Regular experimentation ensures no potential use case goes unexplored. Constructing a proof of concept that balances efficiency and impact sets the stage for a compelling value proposition.
- Tying Value-based Pricing to Realistic Metrics: Assigning value to an evolving technology like generative AI poses a challenge. It’s imperative for agencies and brands to focus on realistic factors, achievements, and goals rather than succumbing to hype. While ROI remains crucial, sustainable success hinges on selecting the right pricing models aligned with client needs and business viability.
The future promises an array of opportunities alongside technological advancements, augmenting rather than replacing human capabilities. A Goldman Sachs study forecasts AI to complement, not supplant, most jobs in the next decade. Leveraging generative AI effectively enables advertisers to craft compelling narratives, forge deeper connections with audiences, and usher in a new era of impactful and meaningful advertising.