How ITILITE Sources Its Data
Short answer: When an ITILITE guide says “ITILITE data” or “based on ITILITE's buyer conversations”, the figure comes from our own dataset of buyer and customer conversations held between January 2025 and October 2026. This page explains what the dataset contains and how we count from it.
Key takeaways
- The dataset covers 3,000+ conversations from January 2025 to October 2026.
- Each conversation is a structured summary: company profile, pain points, features discussed, objections and competitors.
- We never publish company names, people's names or deal details.
- The data reflects companies that talked to ITILITE. It is not a market-wide survey.
What is in the dataset
The dataset is a set of structured summaries of meetings between ITILITE and companies that evaluate or use corporate travel and expense software. This includes discovery and demo calls, onboarding sessions and customer check-ins.
| Conversations analyzed | 3,000+ |
|---|---|
| Period covered | January 2025 to October 2026 |
| Conversations with a pain-points section | 1,321 |
| Conversations with a recorded region | 1,641 |
| Region | United States 89%, India 10%, other countries 1% |
| Conversations with a recorded industry | 1,124 |
| Largest industry groups (CRM labels) | Human resources, computer software, hospital and health care, construction, staffing and recruiting, non-profit, oil and energy |
| Last refreshed | October 2026 |
Each summary follows the same fixed sections: company profile, current travel and expense setup, pain points, features discussed, objections and competitors. That fixed structure is what lets us count the same thing across hundreds of conversations.
How we pull a data point
We follow the same steps for every figure:
- Search: We search all 3,000+ summaries for the topic and its common synonyms. For example, a page on per diem searches “per diem”, “daily allowance” and “M&IE”.
- Read in context: We read the surrounding text, not just the matching phrase, so a passing mention is not counted as a pain point.
- Count once per conversation: A topic counts once per conversation, however many times it comes up in it.
- Pick the right base: Pain-point figures use the 1,321 conversations that have a pain-points section.
- Apply a pattern rule: We describe something as a pattern only when it appears in at least 3 separate conversations. Anything below that is described as an example.
- Anonymize: We remove identifying details before anything is published.
- Record it: The figure goes into the statistics table below with its definition, count and period.
How we protect the people in the data
- We never name a prospect or customer company. We describe it instead, for example “a mid-market construction firm”.
- We never publish attendee names or email addresses.
- We never publish deal names, values or stages.
- We paraphrase any quote that could identify a company or person.
- We do not publish call recordings or transcripts.
What the data cannot show
- Market-wide rates: These companies chose to talk to ITILITE. They are not a random sample of all businesses.
- Cause and effect: A pain point that appears in many conversations is common among these buyers. It does not prove why it happens.
- Exact precision: The summaries are condensed from longer conversations, and the counts rely on phrase matching. Small differences in wording can move a count slightly.
- Audited numbers: Costs, volumes and time savings are what participants said on the call.
- Mostly US buyers: About 89% of conversations with a recorded region are in the United States, so the findings describe US buyers best.
Where a claim needs market-wide backing, we pair our data with an external source such as GBTA, ACFE or a government agency, and link to it next to the claim.
ITILITE statistics
Each figure is defined once here. Guides link to the anchor for the figure they use.
Pain points raised by buyers
| Statistic | Definition | Conversations | Share of base |
|---|---|---|---|
| Lack of visibility into travel spend | Pain point describing no, limited or delayed visibility into travel spend, bookings or employee travel activity | 193 | About 15% |
| Booking outside the platform or non-compliance | Pain point describing employees booking outside the approved tool, leakage, or low booking compliance | 159 | About 12% |
| Manual expense work | Pain point describing manual expense reports, reconciliation, receipt handling or spreadsheet entry | 156 | About 12% |
| Missing or unenforced travel policy | Pain point describing no travel policy, or policy that cannot be enforced | 153 | About 12% |
Updated: 15 October 2026.
How to cite ITILITE data
You are welcome to quote any figure on this page. Please attribute it as:
ITILITE, “How ITILITE Sources Its Data”, October 2026, https://www.itilite.com/data-methodology
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