💯AI Lead Scoring
Last updated
Last updated
Sypher AI Lead Scoring helps you prioritize your leads by automatically assigning scores based on your ideal customer criteria, making it easier to identify high-potential opportunities.
Sypher integrates with all your sales and marketing platforms, utilizing three categories of data for its scoring system:
Demographic data: identifies who the lead is.
Firmographic data: defines the company to which the lead belongs.
Behavioral data: tracks the actions performed by the lead.
Data integration: Ensure all your sales and marketing platforms are connected to Sypher for seamless data flow.
Automatically define scoring criteria: Sypher trains on your historical data and analyzes your demographic, firmographic, and behavioral data to identify ideal customer criteria.
Monitor and optimize: Regularly review the scoring system's performance and give Sypher team's feedback for necessary adjustments to improve accuracy and efficiency.
Playbooks:
Identify the warmest leads based on each playbook. Select leads with the highest scores from each playbook, then mark them as complete or set reminders for each lead.
AI Lead Scoring Page:
Identify the warmest leads based on each stage of your funnel
Understand why each lead receives its score with "Score Justification".
Sypher seamlessly integrates with your CRM, automatically returning all data and lists (directly to HubSpot in this example).
You can see all Sypher information directly from your CRM:
Create a workflow: Establish a new workflow in your CRM to automate the process.
Choose a trigger: Select the specific event that will activate your workflow, like when a contact has a specific score in a specific life cycle stage.
Add actions: Incorporate specific actions into your workflow, such as sending emails or updating records, based on the life cycle stage of your leads.
Turn on your workflow: Activate your workflow to start automating tasks based on the defined triggers and actions.
Increased accuracy: AI lead scoring utilizes ML algorithms with your data to accurately predict the likelihood of a lead converting into a customer, reducing human error and bias.
Improved efficiency: By automating the lead scoring process, sales and marketing teams can focus their efforts on the most promising leads, saving time and resources.
Better alignment between sales and marketing: AI lead scoring provides a clear and data-driven understanding of lead quality, fostering better communication and alignment between sales and marketing teams.