Houston AI

Overview · Feb 28–Mar 30, 2026 · ET

How this works

This overview summarizes system-wide performance over the selected date range.

  • Metrics are computed per lead exposure to avoid chatty leads skewing results.
  • Reply/negative rates are based on replies within the reply window.
  • Charts show trends; drill into templates for details.
Limits
No external benchmarks · Call outcomes may lag data ingestion
What to do next
Review the Template Scorecard to identify top opportunities.

Executive Summary

A fast readout of SMS performance and where attention is required.

Selected period

Three questions this page answers:

  1. Is our messaging working?
  2. Where are we losing leads?
  3. What should we fix first?

Current State (Last Selected Period)

Reply rate
0.0%
Percent of exposed leads who replied
Negative reaction rate
0.0%
Percent of exposed leads with complaints/opt-outs
Templates needing attention
0
Templates flagged for improvement

What Stands Out

A small number of templates drive most friction.

Decision Overview

Each SMS template is evaluated using three signals: engagement, friction, and outcomes.

Rather than scoring individual messages in isolation, the system groups templates into behavioral clusters based on how recipients consistently respond over time.

Each cluster is assigned a verdict so the system reasons about patterns—not isolated events.

Verdict definitions
Keep — Patterns within expected performance ranges.
Improve — Recoverable issues where targeted changes should help.
Rewrite — Structural problems in intent/framing with consistent underperformance.

Where to Go Next