How we identify red flags

MeetRecord uses a proprietary machine learning model to detect red flags in prospect emails. Here’s how it works:

Contextual Understanding of Language:
Our model is built on an advanced, context-aware understanding of human language. It has been pre-trained using millions of text samples from diverse online sources.

Specific Red Flag Training:
We trained the model with hundreds of real-world examples from sales emails across multiple industries. Examples of red flag phrases include:

• “Although the team feels strongly about your products, they are unsure about the budget aspect.”
• “I have talked to the decision-makers, and they haven’t acted interested at this time.”
• “We are cutting our budgets across the business and can’t commit to additional costs.”
• “This project has dropped down the priority list.”

Comprehensive Email Scanning:
The model evaluates the full context of prospect emails to identify red flags and provide actionable insights.

Does MeetRecord Rely on Keywords?

No, MeetRecord doesn’t depend on keywords alone. Instead, it analyzes the entire context of an email to assess whether it presents a red flag. For instance:

• Words like “unsure” or “priority” on their own don’t necessarily indicate risk.
• The system interprets the intent behind the full sentence, enabling it to understand risks even when phrased in unfamiliar ways.

How Accurate is MeetRecord’s Red Flag Detection?

MeetRecord’s red flag detector achieves 90% precision. This means that 9 out of 10 flagged risks are accurately identified based on test data. Occasionally, up to 10% of flagged risks may not align with expert judgments, but the model is continuously updated to improve accuracy by incorporating new examples of red flags.

With MeetRecord’s red flag warning system, you’ll stay ahead of potential risks in your deals and be equipped to take timely action to keep them on track.