Sales reps spend up to 40% of their time prospecting, leaving limited time for relationship-building and deal closures. To tackle this inefficiency, Lusha has launched AI Recommendations, an AI-powered feature designed to automate key sales tasks, including prospect discovery, data enrichment, and outreach planning.
Using machine learning, user behaviour insights, and crowdsourced data, AI Recommendations generates personalized lists of high-intent contacts and companies. Sales teams can leverage this data to target prospects more precisely, identifying leads based on factors like technology adoption, market trends, and likelihood of conversion.
Building smarter, data-driven pipelines
As sales teams use AI Recommendations, they receive real-time insights into the best prospects to engage. The feature identifies look-alike prospects and alternative decision-makers while offering dynamic insights such as buyer intent and visitor behaviour.
“With advanced machine learning and real-time insights, we’re not just helping businesses find prospects; we’re ensuring they connect with the right opportunities at the right time,” said Yoni Tserruya, CEO of Lusha. “This feature transforms prospecting into a dynamic, data-driven process, enabling teams to focus on relationships and results.”
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