Lusha Introduces AI Recommendations
The capability dynamically adapts to user engagement, offering increasingly personalised insights on the best sales prospects to target.
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Lusha, a global provider of B2B sales intelligence, announced the launch of AI Recommendations, a capability designed to drive enhanced sales prospecting. By leveraging advanced machine learning, user behaviour insights, and crowd-sourced data, AI Recommendations automatically generates personalised lists of high-intent contacts and companies, helping sales teams target prospects with precision and efficiency.
Sales teams traditionally spend significant time manually sourcing and vetting leads, often as much as 41% of their workday. AI Recommendations eliminate this inefficiency by analysing diverse data signals – such as buyer intent, technology adoption, and market trends – to predict which prospects are most likely to convert. This allows teams to focus on building relationships and driving growth, rather than getting bogged down in administrative tasks.
The capability also dynamically adapts to user engagement, offering increasingly personalised insights on the best prospects to target. It identifies look-alike prospects and alternative decision-makers, utilising Lusha’s proprietary “Rule by Lusha,” while providing real-time insights like intent and visitor behavior. This ensures that sales teams always have an up-to-date, relevant pipeline, optimised for success.
By automating tasks like prospect discovery, data enrichment, and outreach planning, AI Recommendations help sales professionals dedicate more time to engaging prospects and closing deals. This aligns with Lusha’s commitment to providing businesses with everything they need to drive more efficient GTM motions.
“AI Recommendations is a game-changer for modern sales teams,” said Yoni Tserruya, CEO of Lusha.“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. This feature transforms prospecting into a dynamic, data-driven process, enabling teams to focus on relationships and results.”
