Industry
Hospitality
Hotels and venues rarely lack data; they lack one place where bookings, rates and marketing sit together. We join them, so you can forecast demand from your own history, see which channels create bookings rather than just collect them, and reduce OTA commission with evidence behind the decision.
Where this sector loses ground.
For hotels and hospitality groups that want to price and promote with evidence. We connect booking, rate and campaign data, build forecasts on your history, and replace the daily reporting pack with a scheduled one.
Forecasts built in spreadsheets
Demand projections depend on one analyst's model that cannot be checked or updated easily, and nobody trusts it when a big event skews the numbers.
Channel performance judged on last click
OTAs and branded search get credit for bookings that earlier channels created, which distorts commission and spend decisions.
Rates and campaigns kept apart
Pricing sits in the revenue system and campaigns sit in ad platforms, so nobody sees their combined effect on occupancy and ADR.
Daily reports compiled by hand
Daily and weekly packs are assembled from several exports: slow, inconsistent, and always slightly out of date.
How we work in this sector.
Sequence matters: govern the data first, make every reported number traceable, then build the models and automation that act on it.
Bring booking, rate and campaign data into one warehouse, so commercial decisions use a single dataset.
Build demand forecasts on your own history, adjusted for seasonality, events and lead times.
Measure channel contribution beyond last click, so commission and paid spend follow real demand.
Automate the recurring reports and alerts, so the team acts on exceptions instead of compiling them.
Where this usually starts.
The solutions we most often deploy in this sector. Each page sets out the capabilities, platforms, and outcomes you can expect.
- AI Consulting & Development
Data Science
Data science answers the questions your dashboards cannot: who will churn, what demand will be, which segments matter. Beneath Analytics builds churn models, forecasts, and segmentation on your own data, integrates them into the tools your team already uses, and validates them with properly designed experiments.
View solution - Tracking & Analytics
Marketing Measurement
Marketing measurement gives you one trustworthy view of performance across every platform: Meta CAPI, TikTok Pixel, consent-based tracking, clickstream events, and cross-platform attribution, plus Mixpanel product analytics where the product is the funnel. Conversion tracking is verified end to end, so spend decisions rest on data you can defend.
View solution - Tracking & Analytics
Analytics & Business Intelligence
Analytics and business intelligence means Beneath Analytics turns your tracked data into decisions: attribution modelling, predictive models, and dashboards built around the questions your team actually asks and adopted by the people who use them.
View solution
Common questions.
Usually two years of booking history with rate, channel and event context. If that history is scattered, we start by consolidating it, which is useful work in its own right.
Yes. We connect to PMS, booking engines and channel managers through their APIs or exports, then standardise the data so it can be modelled reliably.
Better attribution shows which channels create demand and which only capture it, so you can move investment toward direct and lower-commission routes with evidence.
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