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Boxever
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Boxever

Overview
Synopsis

Boxever’s cloud platform enables travel retailers to build a scalable, cost-effective single customer view that powers 1-1 marketing and merchandising across every channel in real-time. Boxever improves conversion and increases transaction size by targeting customers individually.

Category

Personalization Software and Engines Software

Features

Identity Resolution.
Single Customer View.
search-based interface to the complete guest repository.
Real-time Interaction Management.
Triggered Communications.
Advanced Segmentation.
Dashboards & Visualizations.
Cohort & CLV Analysis.
Big Data.
Scalable.
Secure.

License

Proprietary Software

Price

Contact for Pricing

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)

Company

Boxever

PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
8.7
Features & Functionality
8.7
10
Advanced Features
8.8
Integration
8.6
4.2
Performance
8.8
8.1
Customer Support
8.6
Implementation
Renew & Recommend
Bottom Line

Boxever enables companies to quickly and cost effectively leverage Big Data and bring existing enterprise systems together with web, mobile and social platforms to provide unique, actionable insights on guests to deliver the personalized digital experiences that today’s travellers expect.

8.7
Editor Rating
7.8
Aggregated User Rating
2 ratings
You have rated this

Boxever’s cloud platform enables travel retailers to build a scalable, cost-effective single customer view that powers 1-1 marketing and merchandising across every channel in real-time. Boxever improves conversion and increases transaction size by targeting customers individually.

Boxever is a cloud-based solution that combines master data management, CRM, decisioning and analytics into a tightly integrated, travel-centric marketing platform that enables retailers to capture, analyze and act on large volumes of customer data in real‑time. A unified view of the interactions that every visitor, passenger and customer has with your company.

Boxever contains a unique timeline view that contains behaviors, transactions, demographics and social data stitched together using sophisticated identity matching algorithms. In travel, understanding multi-channel customer behavior is made much more complicated by the fact that many customers don't consistently log in online and there's very little information provided on customers who book through indirect channels.

Boxever can automatically combine fragments of customer data across multiple different channels using multiple different identification mechanisms to deliver a unified view of the guest. Boxever can quickly and cost-effectively unify data from silos such as web or mobile click streams, email campaigns and transactional feeds to deliver a high-fidelity picture of each of the guests. Boxever provides a powerful, search-based interface to the complete guest repository.

By enabling a flexible search interface, it's possible to perform natural language and fuzzy searching to retrieve a guest profile for further analysis. This enables real-time guest recognition on web and mobile, caller identification in the contact center and even passenger recognition in flight.

Travel-centric decisioning that optimizes every inbound guest interaction across web, mobile, mobile app and call centre in real-time. It also enables flexible lifecycle and triggered outbound communications where timeliness and relevancy are critical to ensure optimum conversion.

Boxever has unique algorithms that is designed specifically to handle the challenges of dynamic pricing and availability in travel. Track and orchestrate guest interactions across multiple channels, delivering a consistent, unified experience to every guest. Deliver timely, relevant outbound communications on email, mobile push or SMS based on guest activity across any channel.

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Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Customer Support
Implementation
Renew & Recommend

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