Datama x Acteurs Travel: THE data analysis solution for the industry’s challenges

The travel sector (hotels, travel, OTAs, tourism marketplaces…) is under constant pressure: seasonality, changing customer behavior, dependence on varied and often costly acquisition channels (Google Ads, Meta, meta search, OTAs), not to mention increasingly fierce competition.

Despite all the tools at their disposal, teams face a real analytical headache. It has become complex to quickly analyze the cross-effects and details of performance variations, as well as their overall impact on the business. Between online data, offline data, acquisition data, product data, the time lag between booking and stay, device data, and fragmented customer journeys, analysis becomes slow, macro, multi-factorial, technical, even inaccessible without expert data support.

To meet these challenges, many travel industry players have already turned to Datama. Its automated, no-code analysis platform converts datasets into clear, visual and immediately actionable insights in a matter of minutes.

Datama’s long-standing Travel expertise

From its beginnings in 2017, and under the impetus of one of the founders who had long worked as a data analyst at Expedia, Datama has adapted its solutions to Travel issues.

By way of example, the tool has already won over a number of major players in the industry, including :

The trust that customers place in Datama is based on its ability to respond not only to generic analytical questions, but also to issues that are highly specific to the travel sector, such as :

Explain a variation in fill rate
Understanding the impact of lead time on sales performance
Break down revenue by number of guests, length of stay, average price per night
Detecting availability problems
Discover mix effects on key KPIs linked, for example, to traveler origin or vacation periods.
Map customer journeys, breaking them down by dimensions such as country, device, browsers, user type, etc.
Understanding acquisition costs by segment
Detect high and low season periods
Analyze preferred booking windows by destination

Travel success stories

We’ve had the pleasure of working with the industry’s leading players, and have been able to gather their testimonials on their use of Datama. Here are a few articles to discover:

Pierre & Vacances: 50% reduction in online conversion rate analysis time, by switching from complex tables to an automated, visual and fast solution using Datama integrated with Tableau.
👉 Result: more agile teams, insights exploited immediately, and enhanced web performance management. (see article or video)
Accor : Integration of Datama, enabling its teams to rapidly analyze digital performance (conversion, channels, devices) without depending on analysts.
👉 Result: time savings, faster decisions and improved performance (see video).
Click & Boat: Use Datama compare monthly to understand growth drivers vs. budget/target, enabling them to make quick and appropriate decisions regarding marketing actions or operational effort.
👉 Result: understanding of variances vs. target and improved decision-making (see article).
Hotel B&B: Analysis of conversion rate variations in a specific country due to a mix effect on traveler origin, and hotel availability problems.
👉 Result: clarified explanation of performance drivers and corrective action levers (see article)
Center Parcs: Detailed understanding of user journeys on the website via Datama Journey, particularly after the COVID, to measure the normal recovery in traveler behavior.
👉 Result: relevant decision-making for the resumption of digital acquisition investments (see article)