How is the score automatically set up at Sypher?
Sypher's scoring system is designed to automatically evaluate and prioritize leads based on various data points, including demographic, firmographic, and behavioral information. The score reflects the lead's likelihood to convert and their potential value. This scoring process involves:
Data Collection: Gathering relevant data from various sources (e.g., CRM, website interactions, marketing campaigns...).
Algorithmic Analysis: Utilizing machine learning algorithms to analyze the data and identify patterns that correlate with successful conversions.
Criteria Weighting: Assigning weights to different criteria based on their importance and relevance to your business goals (demographic, firmographic, behavioral).
Continuous Learning: The algorithms continuously learn and update scores as new data comes in, ensuring accuracy and relevance.
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