They Speak. You Listen.
Increasingly sophisticated AI voice assistant platforms and the growing potential use cases they can assist in are driving consumers to increase their adoption. For brands, voice-based apps present many new challenges, like delivering on-brand experiences without visual cues, providing highly relevant answers to user queries, and effectively tying voice interactions to the rest of the journey in order to drive engagement and conversion.
With Adobe Analytics for voice assistants, you and your product teams can now easily optimize voice-app development, increase engagement, and understand the impact of voice in the context of the overall customer experience.
Key Metrics for Voice
Capture key data points for voice assistants, like frequency of use, intent, user authentication, slots, parameters, and session length to understand how users are interacting with your voice assistant app.
View voice assistant app data alongside all other channel data to get a holistic view of customer interactions across the journey with your brand.
With the help of Adobe Sensei machine learning, use Analytics to spot statistically significant spikes or dips in your data across any metric.
Unlimited Real-Time Segmentation
Build concise visitor segments that can be compared to one another to identify new segments, insights, and opportunities.