How Are You Incorporating AI & Machine Learning into AudioGO Today?
At AudioGO, our goal is to simplify audio ad campaign creation and management while delivering maximum value to advertisers and even bringing new brands into the audio space for the first time. We’re leveraging AI and machine learning across several key features:
- Synthetic Voice Ads:
Traditionally, producing an audio ad required partnering with a creative studio—a process that was both time-consuming and costly, and served as a barrier to entry for many SMBs. With AudioGO’s Synthetic Voice Ads, advertisers of all sizes can now generate personalized audio ads in real time at no cost. This enables the rapid creation of multiple ad variants—with different background music, voice options, and scripts—allowing for effective A/B testing and optimization, and helps bring in new advertisers into the audio advertising space. - Goal-Based Buying:
Our Goal-Based Buying feature tailors your campaign strategy based on specific objectives, whether that’s boosting brand awareness, driving website traffic, or increasing conversions. After setting your campaign goal, AudioGO recommends optimal ad strategies, placements, and targeting options. For example, if your objective is to drive website visits, the system automatically configures your campaign to maximize click-throughs to the advertisers website. - Dynamic Pricing:
Our recently launched Dynamic Pricing system optimizes ad spend by securing the most relevant, high value audience impressions at the lowest possible price. This approach aligns with various campaign goals—be it website clicks, store visits, reach, or awareness—and has resulted in, on average, a 25% increase in targeted audience impressions for the same budget. - Enhanced Data Insights:
AudioGO further empowers advertisers with a robust data ecosystem. Our free AudioGO pixel collects detailed user behavior and engagement data, providing valuable insights to fine-tune campaigns. This data offers advertisers a richer understanding of audience interactions and enables more granular targeting. These insights help advertisers craft campaigns that are not only creative but also strategically optimized for performance.
How Do You Plan to Incorporate AI & Machine Learning in the Future?
Our focus is on finding ways to use AI that enhance experiences for advertisers and creators, but are led by human touch. Currently, audio makes up 31% of time spent with media but only 9% of ad spend (WARC). We’re trying to close this gap, and synthetic voice ads, for instance, is just one way we’re using AI to help break down some of those barriers to entry for the audio advertising and highlighting the value of the medium to advertisers. As we continue to build out our AI capabilities in AudioGO, we’re testing and exploring in areas like script generation, campaign building, and campaign optimization.
Any Final Thoughts on Incorporating AI into AudioGO?
As we introduce more AI-powered features and advanced capabilities, our commitment remains to give AudioGO customers complete control over their campaigns. We aim to provide robust insights and analytics to help advertisers understand the basis for our recommendations. These analytics & insights not only improve advertisers audio campaigns but also offer valuable insights for our advertisers broader advertising strategy.
What is AudioGO?
Author
Chris Bolte,
Vice President, Self-Serve Platforms, AudioGo