I Just Analyzed 273 High-Ticket Company Records. Here's What the Data Says.

So I just finished [using AI] to analyze 273 high-ticket company records from 2023–2026.

This is the March 3, 2026 snapshot, not a live market readout.

The result? A market intelligence report on the companies in those records, not a representative sample of the whole market.

Here's a sample of what to expect:

The 20–30% reported close-rate bracket containing the median

The reported no-show rate that stayed around 25%

What companies reported closers earning in monthly commissions

What companies reported setters earning in monthly commissions, not guaranteed base pay

How reported mean client churn moved from 2.6% to 5.1%

The snapshot of current rep tenure, not a measure of how long new hires survive

The base-pay association: 71.4% vs. 61.0% of 1099 companies reported at least one rep with a year-plus tenure. That's not an individual retention rate or proof that base pay caused the difference.

Let me know if you want to read it. Not sharing link to help the algorithm.

Would love your thoughts!