Meta
How do you bridge the gap between awareness and adoption at scale?
Industry
Technology, Events
Campaign Name
Meta AI: The Place of Impossible Things
Meta
How do you bridge the gap between awareness and adoption at scale?
This campaign framed the inaugural public launch of Meta AI in Singapore as an adoption challenge, not a visibility exercise. While awareness of AI was already high, the strategy focused on enabling new users, encouraging deeper usage, and prompting experimentation with Meta AI’s features. Rather than relying on feature explanations, the launch was designed around participation at scale, using a creator challenge to drive real interaction across creativity, messaging, and play. By allowing creators to actively use and demonstrate Meta AI in an open, experiential setting, the campaign translated attention into practical understanding and early adoption.
Campaign Name
Meta AI: The Place of Impossible Things
Industry
Technology, Events
The Challenge.
Across Meta’s platforms, users had developed familiar ways of creating, communicating, and sharing over time. As social media matured, these behaviours became well-established, with most users relying on habitual patterns that felt efficient and comfortable in their daily use of the platforms.
Within this context, newer AI-powered capabilities represented an opportunity rather than an immediate behavioural shift. While these tools were designed to enhance how users expressed themselves and interacted, many were unsure how to incorporate them meaningfully into routines that already felt complete.
As a result, the challenge was not about availability, but about maximising utility to elevate the overall Meta experience. Awareness alone was insufficient to encourage experimentation, and feature access did not automatically translate into meaningful use. Without intuitive and engaging entry points, the potential of AI remained adjacent to everyday behaviour rather than fully integrated into it.
Success depended on enabling users to experience Meta AI firsthand, integrating new tools naturally into familiar behaviours rather than leaving them as features to be observed from the sidelines.
The Solution.
The strategy centred on bridging awareness and adoption by making participation the entry point. Rather than asking users to understand Meta AI through explanations, the launch was designed to encourage use, allowing functionality to reveal itself through interaction. Adoption was framed as something to be experienced, not instructed.
This approach took shape through a creator challenge built around play, creativity, and everyday use cases. Creators were invited to actively explore Meta AI’s features across messaging, visual creation, and experimentation, producing content that demonstrated how these tools could be naturally incorporated into familiar Meta behaviours. The challenge was supported by a dense wave of creator participation within a short launch window, ensuring visibility through lived use rather than static messaging.
The solution translated awareness into usage by designing participation as the entry point, allowing creators to demonstrate Meta AI’s value through lived interaction rather than explanation.
The Outcome.
The launch reframed how users encountered Meta AI, shifting it from an abstract capability to something experienced through real use. By seeing creators actively explore and experiment with AI features, audiences were able to understand functionality through context rather than explanation, making adoption feel less intimidating and more attainable.
The creator-led content also served as an organic how-to layer. Without formal instruction, users were able to observe how features worked, where they fit into everyday behaviours, and how they could be applied across creativity, messaging, and play. This approach lowered the perceived barrier to entry, allowing learning to happen naturally through participation and observation.
Overall, the campaign helped bridge the gap between awareness and adoption by reducing friction around first use, encouraging experimentation, and making Meta AI feel intuitive, usable, and relevant within familiar Meta experiences.
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