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From there, create automation flows to segment each of these leads based on preset rules before your team decides to engage. This will enable you to be more accurate with leadqualification, and not miss out on potential conversions. Develop strong positioning. Templatize objection handling. Incentivize referrals.
A powerful marketing asset, intent data represents information on users’ activities such as online searches, researching vendors on third-party review websites, email opening and click-through rates, ad clicks and downloads of resources such as e-Books, whitepapers and case studies.
A powerful marketing asset, intent data represents information on users’ activities such as online searches, researching vendors on third-party review websites, email opening and click-through rates, ad clicks, and downloads of resources such as e-books, whitepapers, and case studies.
This has revolutionized the way sales and marketing work together, making it easier for teams to manage larger volumes of lead data and share key intelligence across the business. In addition, data analysis tools have enabled sales teams to efficiently manage and analyze data throughout the lead prioritization process.
By gathering visitor intent and preferences information, Drift enables sales professionals to tailor their approach and deliver relevant information efficiently. The AI sales rep uses NLP algorithms to understand and analyze customer inquiries, allowing for more accurate leadqualification and routing.
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