Short, practical thinking on front-office performance, website conversion, and AI rollout. Operational pain, revenue leakage, and concrete rollout guidance for local operators — no generic industry takes.
Our two original studies publish their numbers as CSV and JSON on the open data page.
How service businesses quietly lose booked work when front-office response breaks under pressure — and the three questions that show you exactly how much money is leaving on the table every week.
Read the piece →How roofing contractors set up after-hours call handling that qualifies storm leads, routes emergencies, and books inspections without a night-shift.
Read →When you are running a crew on-site, your phone is the last thing you can manage. Here is how contractors can keep up with the phone without leaving the work.
Read →We logged eight days of requests carrying AI crawler user agents and checked what each one actually asked for. Most wanted files that never existed. Full method and numbers.
Read →Corrected 18 October 2026. An audit of 385 random records and a 100-record control, checked by web search under a written rule, puts the share at about 49% (95% CI 44-54%), not the 95.6% first published. Method, filters and caveats.
Read →Key data points on AI receptionist performance — first-word latency benchmarks, lead capture rates, after-hours revenue recovery, and ROI estimates for service businesses.
Read →Cost, response time, appointment booking, and lead quality — an honest comparison for operators deciding whether to switch.
Read →About 45 million people aged five and older in the US speak Spanish at home (Census ACS 2024). Here is how to serve them.
Read →Book a 20-minute walkthrough. We'll show you where your current site and front-desk flow leaks the most.