Lusha vs Kayako
Side-by-side comparison of AI visibility scores, market position, and capabilities
Tel Aviv and Boston B2B contact intelligence platform providing verified direct dials, emails, and company data; Chrome extension enriches LinkedIn profiles in real time;
About
Lusha is a Tel Aviv and Boston-based B2B contact data platform that provides sales reps, recruiters, and marketers with verified direct phone numbers, email addresses, and company firmographic data for prospecting and outreach. The platform's Chrome extension enriches LinkedIn profiles, company websites, and CRM records in real time with contact information, enabling SDRs and recruiters to reach decision-makers directly rather than through gatekeepers. Lusha is built around data quality — its contact verification engine continuously validates and updates records, achieving higher connect rates than bulk-purchased contact databases. The platform integrates with Salesforce, HubSpot, Outreach, and Salesloft, feeding enriched contact data directly into existing sales workflows. Founded in 2016, Lusha reached profitability and unicorn status in 2021 after raising over $200M from investors including Bessemer Venture Partners. With over 1 million users globally, Lusha has grown into one of the largest self-serve B2B contact data platforms, competing with ZoomInfo and Apollo.io in the sales intelligence market.
London customer service platform for growing businesses. Unifies email, chat, and social support with a customer journey view and real-time collaboration.
About
Kayako is a London-based customer service platform with roots dating to 2001 when it launched as one of the first commercial helpdesk software products. The platform provides omnichannel customer support through a unified inbox that brings together email, live chat, Twitter, Facebook, and help center interactions, giving support teams a single queue and conversation view regardless of how customers choose to reach out. Kayako's customer journey view—which shows agents the full timeline of a customer's interactions, page visits, and purchase history before they even respond—is a defining feature that enables more personalized, context-aware support experiences.
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