Overview
At Fullpath, we understand the importance of quality leads for your dealership's success. To ensure that your Customer Relationship Management (CRM) system and Fullpath dashboard remain uncluttered by inappropriate or fake leads, we have implemented a robust, automated lead filtering system powered by Large Language Model (LLM) AI technology. This mechanism works tirelessly around the clock, allowing your team to focus on what truly matters—engaging with genuine leads.
Why We Filter Leads
Your time is invaluable. Every hour spent pursuing bad leads is an hour lost that could have been invested in nurturing legitimate prospects. Our goal is to prevent your Business Development Center (BDC) and Sales Team from following up with low-quality leads. By filtering out inappropriate submissions, we help you maximize your team's efficiency and effectiveness.
How Our Filtering Works
The lead filtering process leverages state of the art LLM powered mechanism designed to adhere to specific rules to ensure that only high-quality leads make it to your CRM. Here’s how we do it:
Domain Verification: We only accept leads from established and trusted email domains, such as Gmail and Yahoo, to minimize the chances of fake submissions.
Name Legitimacy: We require a legitimate name for each lead. This helps in identifying serious inquiries and discourages spam submissions.
Contact Verification: Each lead must provide either a valid email address or a legitimate phone number. This ensures that the leads can be reached for follow-ups.
Liberal Approach: While we are stringent with our filtering, we also err on the side of sending more leads to ensure that no potential opportunities are missed. We recognize that sometimes legitimate entries may appear borderline, and we strive to keep you informed of all potential leads.
What to Do If Genuine Leads Are Filtered Out
We understand that no system is perfect, and occasionally a genuine lead may be mistakenly filtered out. If you believe this has happened, we encourage you to reach out to our support team at support@fullpath.com. Your feedback is vital for us to continuously improve our filtering mechanisms.