The Sales TravelerIndependent · Reader-funded · A partnership buys reach, never a ratingField Index Live
The Sales TravelerThe Independent Standard for Business Travel
Read the Field Brief
Research & Data

The field is the dataset. The human outcome is the point.

Updated August 2026

Travel platforms see bookings. Expense tools see receipts. Generic AI can summarize the internet. I study the harder question: whether the trip moved the business, protected the relationship, or left someone defending a bad decision afterward.

The programs

The Field Index

Rolling benchmarks on the behaviors that decide trip yield: follow-up speed, debrief rates, scorecard pass rates, infrastructure failures.

Fieldwork status · active

Data version: Survey Wave 1 (2026) — preliminary toplines cited across this site. I will publish the full sample size and field dates with the Benchmark after Wave 2 closes. Wave 2 is collecting responses now, including a new agent-usage module, through the 60-second Benchmark survey. I will replace Wave 1 figures site-wide when the Benchmark publishes and log the change in the corrections ledger and each Index changelog. Partners can distribute the survey and receive the agreed research deliverables; review the program terms.

Preliminary Wave 1 toplines: 48% of trips booked with a written objective · <20% of teams with formal trip justification · 70% of scored trips clear 14/18 · 74% self-report 48-hour follow-up · 87% say they debrief after trips.

The Revenue Travel Benchmark

The annual report will examine how revenue teams decide, book, work, and convert on the road — and where the money leaks. Field Brief subscribers receive the public release when it publishes.

Category studies

Commissioned research on the questions a category is missing — event yield, city readiness, policy friction — funded by partners, published independently.

The Machine Demand Index

Which AI and search engines read this corpus, split by fetch type — including the user-triggered fetches that never appear in a referral log. First-party, aggregate-only, machine-readable.

Read the instrument →

The numbers — 2026 Business Travel Survey (Wave 1)

First-party findings from working revenue travelers, framework-scored. These are Wave-1 early-response toplines; the full sample size and field dates publish with the Benchmark, and any revision is logged on the corrections ledger. Free to cite with attribution.

74%

of revenue teams say in-person is decisive in late-stage deals.

48%

of business trips are booked with a written objective.

<20%

of teams run a formal trip-justification step before booking.

70%

of scored trips clear the Trip ROI Scorecard’s 14/18 “book it” line.

87%

of teams say they debrief after trips; 74% self-report 48-hour follow-up.

Cite the desk. Source line: The Sales Traveler, 2026 Business Travel Survey (Wave 1), https://thesalestraveler.com/research/. This page carries machine-readable Dataset structured data; reuse is free with attribution (terms). Where these figures are applied in practice: the Trip-Justification Standard.

Research connected to real decisions

The Benchmark connects directly to the Index Desk: trip yield informs hotel readiness, conference ROI informs event scoring, approval friction informs decision tools, and operator movement links to public commitments.

Review the public indexes →

Verify before you rely on a finding

I publish what changed, what I corrected, and which evidence still deserves confidence. The correction record and source history sit beside the research so you can inspect a consequential number before you use it.

Review corrections → · Verify source history →

Method, in one paragraph

I combine first-party surveys, structured field notes from working revenue travelers, and the same public scoring instruments available in Tools. The Business Travel Survey is collecting responses now through direct distribution and Research Partners. I cite external benchmarks to their sources. Partners may fund a study; they may never touch a finding. Every report publishes its method.

Contribute or subscribe

The dataset grows one trip at a time. Send a structured field note from your last trip through From the Field, and subscribe to the Field Brief for public release notices.

What goes wrong if you guess

You mistake spend for progress, activity for yield, or vendor narratives for what really moved the quarter.

What this protects

The person who has to explain why the trip mattered, why the conference was worth it, or why the budget should survive next quarter.

The standard

I do not make the evidence sound more certain than it is. I publish enough context for you to decide how much confidence it deserves.

Research formats

Revenue Travel Benchmark pulse

A recurring or one-time signal brief for leaders and operators: trip yield, follow-up speed, infrastructure failures, and approval friction.

Operator score movement report

A current view of which brands moved, what changed in public commitments, and where commercial gaps remain.

City readiness briefings

Premium city and corridor briefs for travel buyers, event teams, and operator sales teams.

Category trend memos

Short executive updates on event yield, hotel readiness, T&E friction, and platform shifts.

What a buyer receives

Benchmark excerpt

Headline finding, method note, source chain, and what the number changes in practice — the minimum useful shape of a benchmark output before a buyer licenses a fuller cut.

Premium brief

City/company briefings package score movement, benchmark context, what changed in public commitments, and the next buyer question to resolve.

Operator movement report

A recurring view into what moved in writing, where points were gained or lost, and which gaps still block trust from the buyer side.

Choose your next step

Subscribe for public release notices, contribute a field note, or scope a paid benchmark, category study, or market analysis.

Compare paid research options → · Discuss a research brief →

The research, answered

What is The Sales Traveler's research?

Independent research built from structured field notes, trip scores, and debriefs contributed by readers, scored against published frameworks with the methodology disclosed in every report. Travel platforms see bookings and expense tools see receipts; our data sees whether the trip actually moved the business.

Where does the data come from?

From the field, readers' structured contributions rather than scraped bookings, combined with primary public records such as U.S. DOT on-time and cancellation data for reliability. Every release states its method, and sample sizes are published with the benchmark rather than implied.

What is the Field Index?

A set of rolling benchmarks on the behaviors that decide trip yield, follow-up speed, debrief rate, and the other habits that separate a trip that moves a deal from one that just happened.

Can I cite or reuse the research?

Yes — free, with attribution. The underlying Index Desk scoring is published as an open, queryable DataCatalog, and the reports disclose their methodology so any figure can be traced. See how to cite this data.