A Data-Driven Crystal Ball: How AI Tooling is Changing the Marketing Game
16 August 2024
Marketing strategists are constantly grappling with complexity – data deluges, webs of uncertainty and a barrage of newness that constantly reshapes the playing field. This complexity has also led to two types of brand attitudes: one that focuses on the ‘now’ with a wait-and-watch outlook, and the other that makes the leap into the ‘next’, foreseeing the value in a trend-to-spend approach. Brave Bison is where the second type finds its kin.
We are a marketing, media and technology company built to thrive in this ever-evolving landscape. We know fragmented audiences behave differently, across different platforms, at different points in time. This means numerous routes to personalisation, which are constantly in flux. Infinite data sources are emerging, in turn, causing analysis paralysis. Plus, increased volumes of data don’t necessarily equal greater availability; instead, data protection and walled garden models are creating new barriers. The need for a solution that was not just capable of delving into this complexity, but also immediately future-fit, became quickly apparent.
Our test-and-learn methodology took us to the depths of AI research, tapping into its intricacies to build our proprietary model, AudienceGPT. With powers of parsing, personalisation and prediction, AudienceGPT is a mirror image of our consumer-base that keeps up with trends and even anticipates them. In short, it generates and tracks actionable insights so fast, it’s like looking into the future. A data-driven crystal ball, if you will.
Our comprehensive whitepaper, "AI-Insight: The New Strategic Frontier," explores how and why we believe AI-powered strategic insights could revolutionise the marketing industry. Already, having AudienceGPT in our arsenal has added speed, granularity and the ultimate level of scalability to our work. Brands need to know people better than ever. Strategists need to understand target audiences faster than ever. And, that is exactly what AudienceGPT helps us do.
One of its most exciting aspects is its capacity to generate silicon personas, offering a window into the audience's world that traditional techniques cannot match. By simulating real-time interactions with these AI-generated personas, strategists can gain unfiltered insights and deeper interpretations of their target market’s needs and behaviours – past, present and even future.
Then, there is the challenge of data resources – both, too much and too little. In some cases, the sheer volume of data available can be overwhelming, making it difficult to extract meaningful insights and develop effective strategies. In others, there is little to no data. The task here is riskier: how do we connect the dots without a trace of who we’re creating for? In both situations, AudienceGPT can act as a strategic voice in the room, adding inputs to insights, leading to marketing predictions at pace.
Lastly, we know too well that the process of research is built around ideas and hypotheses in a world that demands we be more quantifiable. This makes it expensive, fighting for its share of squeezed budgets. With AudienceGPT, we are democratising strategic excellence by combining the depth of expert analysis with the scalability of machine learning. This synergy enables businesses of all sizes to stay ahead of the digital curve, regardless of their resources or industry.
We’re on a mission to help marketers and brands will gain valuable insights into this new method of strategic planning and audience analysis. To that end, our whitepaper details how AudienceGPT can help navigate this era of complexity: with use cases from data collection and market research to audience segmentation and creative positioning. It explores the broader implications of AI in marketing, how it's reshaping the industry landscape and challenging traditional understanding of customer interactions. Finally, it addresses concerns about data privacy, the potential for bias in AI systems, and the need for ongoing human oversight in AI-driven strategies.
Amid mounting pressure on brands to do more with less, “AI-Insight” is an essential guide to balancing the predictive power of AI with the profound human intuition that lies at the heart of effective marketing.