The Seven Deadly Metrics Killing Your AI SDR (And What to Track Instead)
Table of contents
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Make LinkedIn your Greatest Revenue Channel ↓
Saniya Sood
Stop looking
Stop looking at your open rates for a second.
We need to talk about why your AI SDR metrics are stuck in 2020, and what the real players are measuring in 2024.
The Hidden Problem
While everyone's obsessing over activity metrics, they're missing the signals that actually matter.
Let me break down what's really working.
The New Metrics Playbook
Conversation Quality Score (CQS) Old way: Counting calls New way: Measuring meaningful engagement
Think about it:
Would you rather have 100 dead-end conversations?
Or 10 that move deals forward?
Predictive Lead Value (PLV) Old way: Basic lead scoring New way: AI-powered value forecasting
This isn't just scoring - it's predicting which leads will actually convert.
Response Time Optimization (RTO) Old way: Fixed follow-up schedules New way: AI-optimized timing
Fact: This can boost response rates by 50%.
Personalization Effectiveness Ratio (PER)
Old way: Mail merge fields
New way: Deep personalization tracking
"{First_Name}"
Because "{First_Name}" isn't personalization anymore.
AI Learning Velocity (ALV) Old way: Static performance New way: Improvement tracking
Your AI should get better over time. Are you measuring that?
Human-AI Collaboration Score (HACS) Old way: AI vs. humans New way: AI + humans
Because it's not about replacement - it's about enhancement.
Multi-Touch Attribution Old way: Last-touch attribution New way: Full journey analysis
Double your conversion rates by understanding what actually works.
The Metrics to Kill
Stop tracking:
Number of outreach attempts
Generic open rates
Busy work metrics
They're noise, not signal.
How Valley Can Help Let us show you what real AI SDR metrics look like.
Book a demo & get started today and watch your calendar fill up with qualified leads.
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