CallRail has rolled out Voice Assist, an AI-powered voice assistant that answers, captures and qualifies inbound calls.
With Voice Assist, businesses and their marketing agencies can converse with, capture and qualify leads, even when staff are unavailable, ensuring no calls are missed. Companies can follow up using AI-powered lead scoring, giving businesses a quantitative and qualitative view of lead quality, intent and urgency.
Additional features include:
- Provide a more seamless process for callers to book appointments.
- Integrate with 60+ tools to sync leads, call summaries and auto-tagged outcomes.
- Optimize marketing performance with attribution and intent signals delivered within a unified platform.
Voice Assist can be set up in minutes, is personalized to the business and is built for lead conversion. Pulling from the business’s existing website content and past call transcripts, Voice Assist learns how to converse effectively on behalf of a business with no manual setup or tedious scripting required.
Customers can customize everything from Voice Assist’s tone of voice and hours of availability to its automatic text responses. Customers can even set conditions for when the call should be transferred to a team member so businesses can prioritize high-value opportunities.
Voice Assist is integrated within the broader CallRail lead engagement platform, giving customers a unified view of every lead. By adding Voice Assist to the CallRail platform, marketing teams now have access to an AI voice assistant that also optimizes campaigns. Examples include:
- Conversion signals: CallRail will automatically tag when a caller speaking with the AI agent has requested an appointment, which can be integrated back into Google Ads to generate higher quality leads.
- Attribution insights: Marketers know what campaigns, keywords and channels are working, aggregated into one platform, whether the call is answered by their human receptionist or Voice Assist.
- Lead qualification: Voice Assist captures caller intake details and intent, then scores leads, allowing marketers to quickly decide which lead should be prioritized for follow up.
- Transcriptions, summaries and sentiment: businesses can quickly gather full context to provide personalized follow up to the best leads, faster.