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Boxever was acquired by Sitecore.
Brief
Boxever

Boxever

Boxever unified customer data and applied AI-driven decisioning to enable travel and hospitality brands to deliver real-time, personalized experiences that increased conversion and customer loyalty.

boxever.comDublin, Leinster, IrelandFounded 2011

Last updated May 22, 2026 by ATDb automated enrichment

Industry
Customer Data Platform / Personalization
Business Model
SaaS
Target Market
Enterprise
Employee Count
51-200
Funding
$28M
Revenue Range
$10M-$30M
Parent Company
Sitecore
API Available
Yes
Market Position

A leading CDP and AI personalization platform purpose-built for the travel and hospitality industry, acquired by Sitecore in 2021 and integrated into its digital experience suite.

Overview

Boxever was a Dublin-based customer intelligence platform founded in 2011 that specialized in helping travel and hospitality companies deliver hyper-personalized experiences across digital channels. The platform combined a Customer Data Platform (CDP) with AI-powered decisioning and real-time personalization capabilities, enabling airlines, hotels, and travel brands to unify customer data and act on it at scale. Boxever was widely recognized as a pioneer in applying machine learning and predictive analytics to the travel sector, helping clients like Ryanair, Etihad Airways, and Delta Air Lines improve conversion rates and customer engagement.

Products & Features

Customer Data Platform (CDP)

Unified customer profiles by aggregating data from multiple sources to create a single, real-time view of each traveler.

AI Decisioning Engine

Machine learning-powered engine that determined the next best action or offer for each customer in real time.

Real-Time Personalization

Delivered personalized content, offers, and messaging across web, mobile, email, and call center channels.

Segmentation & Analytics

Advanced audience segmentation and behavioral analytics tools to identify high-value customer cohorts.

Journey Orchestration

Enabled brands to design and automate multi-step customer journeys across touchpoints.

Key Features
Real-time customer data unificationAI-powered next-best-action decisioningOmnichannel personalizationPredictive analytics and propensity modelingPre-built travel industry data modelsJourney orchestration and automationA/B and multivariate testing
Use Cases
Airline ancillary revenue optimizationPersonalized fare and offer recommendationsCart abandonment recovery for travel bookingsLoyalty program personalizationReal-time website and app personalizationEmail and push notification personalizationCustomer lifetime value prediction
Customer Segments
AirlinesHotels and hospitality chainsOnline travel agencies (OTAs)Car rental companiesTravel management companies
Connections

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