Whitepaper
Who to Call Next: The Economics of Lead Prioritization
Every lead is not equal. Treating them as equal taxes agent time and gifts competitors who prioritize.
Contents
- Equal lists, unequal value
- Cost of random order
- What prioritization uses
- Human + model loop
- Fair framing
- RFP questions
1 · The problem
Equal lists, unequal value
Inbound, aged, and purchased leads differ in intent and reachability. FIFO feels fair and is often unfair to revenue.
2 · Economics
Cost of random order
Agent talk time is scarce. Minutes on low-propensity leads are stolen from high-propensity ones. Prioritization is capital allocation with a headset.
3 · Signals
What prioritization systems use
- Historical dispositions and answer patterns
- Recency and channel engagement
- Data quality / connectivity
- Campaign context
- Continuous retraining—“the machine is always learning”
4 · Loop
Human + model loop
Models propose order; policy and supervisors constrain it. Overrides for VIP and regulated accounts. Visibility beats black-box AI.
5 · Fair framing
What scoring is not
Scoring does not fix bad consent, spam ANIs, or a broken pitch. It multiplies a working system.
6 · Evaluation
RFP questions
- Can we see why a lead ranked high?
- Does the model retrain on our dispositions?
- How do overrides work?
- Measured lift in connect or CPA on a pilot slice?
Related: LeadScore+ · Smarter than speed.