Culture

Unlocking UK Travel Trends with Multi-Source Analysis

Published November 21, 2024

Multiple datasets linked by a persistent user ID reveal advanced travel behavior and brand preferences.

UK travel bookings reliably spike in January, as shorter days and a wave of promotional offers push holiday planning to the top of mind. To understand what's really driving that behavior, we combined our Pageview and App Usage datasets with a purpose-built survey, connected through a persistent user ID, to see how research, brand preference, and booking intent actually move together.

Reveal Meaningful Audience Insights with Custom Data Cohorts

We built a travel-focused cohort from historical search and browsing behavior and found it skewed toward Gen X and Baby Boomer demographics.

Demographic comparison chart contrasting the travel-research cohort's age skew against the general population, showing higher engagement among Gen X and Baby Boomers

The cohort also carried higher education levels and income brackets than the general population, and winter holiday researchers indexed even higher on income than summer travelers, likely reflecting peak-season pricing on winter sun and ski trips.

Comparative chart of winter versus summer holiday cohort income distribution

Explore Target Audience Behaviours Through Multiple Data Connections

Website visit data put Booking.com clearly ahead as the top travel brand by traffic.

Ranked chart of top travel websites by visit volume, with Booking.com in the lead

That lead is consistent with its 69% share of Europe's online travel agency market. Our survey backed it up too: respondents rated Booking.com favorably and said they were likely to book through it.

69%of Europe's online travel agency market share belongs to Booking.com, matching its position as the top brand by website visits in our data.

Survey results chart showing 75% of respondents viewed Booking.com favorably and 67% said they were likely to book through it

Cross-referencing the two data sources sharpened the picture further: 86% of the likely-to-book group had actually visited the site within the past year, tying stated intent directly back to observed behavior.

Cross-tabulation chart showing 86% of respondents likely to book with Booking.com had visited the site within the past year

App data added a further layer of precision: 52% of survey respondents had used the Booking.com app within six months, and app users were 13% more likely to consider booking through the platform than non-users.

App usage chart showing 52% of survey respondents had used the Booking.com app within the past six months

TUI and Jet2holidays showed even larger conversion uplifts tied to app installation, underscoring how much a persistent user ID (linking browsing, app usage, and stated intent) sharpens the picture of who is actually ready to book.

Comparison chart showing a 13% booking-likelihood uplift for Booking.com app users, with larger uplifts for TUI and Jet2holidays

How Can I Access This Data?

This analysis draws on Gener8's Pageview and App Usage datasets layered with a purpose-built survey, all connected through a persistent user ID. Get in touch to see how the same multi-source approach can sharpen your own travel audience targeting.