CallRail Debuts Conversion Signals to Improve Ad Targeting

CallRail, the lead engagement platform, announced the launch of conversion signals, a new AI-powered capability that automatically tags calls that convert into appointments so marketers can identify and replicate the best leads. Based on appointment outcomes (e.g. booked, not booked, or requested), these signals can then be integrated back into Google Ads to generate higher quality leads.

While understanding the profile of leads that ultimately convert to customers is a requirement to generate higher quality leads, siloed data presents a challenge for many marketers. With conversion signals, conversational AI automatically detects when a lead is requesting or booking an appointment directly within their trusted attribution platform, connecting all of their lead source data to conversions and ultimately to ad platforms. Marketers can better understand the outcomes of calls with leads, allowing them to make insights actionable to optimize marketing efforts.

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By leveraging conversion signals, users will be able to:

• Eliminate manual identification of which leads convert: Automatically identify which leads turn into appointments without having to manually review conversation content.
• Gain automatic insights into what activities drive conversions: Easily pinpoint which sources and keywords drove the most appointments.
• Data-backed campaign optimization: Integrate the insights from reports into Google Ads to optimize campaigns to deliver more high-value, likely to convert leads. This not only saves marketers time spent qualifying leads, but decreases wasted ad spend.

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Conversion signals is the latest alpha feature to graduate from CallRail Labs, CallRail’s AI innovation program. Now a fully productized capability within CallRail’s Premium Conversation Intelligence, this launch reflects CallRail’s continued commitment to enhancing its offerings with powerful, AI-driven features stemming from customer feedback on what drives impact for their business.