Forrester Study Shows $128M Revenue Lift, 781% ROI from Blueshift

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Fast-Growing Real Estate Startup, Zumper, Scales Leads by 384% with Advanced, Predictive Recommendations
Fast-Growing Real Estate Startup, Zumper, Scales Leads by 384% with Advanced, Predictive Recommendations
Finding a place to call home in a competitive rental landscape can feel like trying to find a needle in a haystack – except that haystack is also full of fake needles, spam, and a slew of competitors. So how can renters find their perfect fit, in their dream neighborhood, for the right price?

Zumper’s mission is to answer such questions. Their end-to-end rental platform aims to make renting a place to live as easy as booking a hotel. But, no two users have the same journey and as their user base grew, their marketing team struggled to deliver timely consumer centric marketing based on shifting user preferences and an ever growing catalog of listings.


BiggerPockets Increases Paid Subscriptions 2x with 1:1 Personalization Across Channels
BiggerPockets Increases Paid Subscriptions 2x with 1:1 Personalization Across Channels
Investing in real estate is top-of-mind for many of today’s money-savvy consumers, and businesses are taking note. Countless television shows, blogs, and content creators have hopped on the bandwagon, but where does an investment newbie start their journey, make the needed connections, and learn the tricks of the trade? The answer: BiggerPockets. BiggerPockets is an online real estate community of over 1.3M+ professionals. It’s the go-to social network for everything real estate, and it’s quickly becoming a top destination for those looking to use real estate to better their financial future and make their HGTV-inspired dreams a reality.

Skillshare Boosts Enrollment 89% with AI-Powered Personalization
Skillshare Boosts Enrollment 89% with AI-Powered Personalization
When it comes to picking online classes, abundance of choice can often slow the process, or sometimes even halt it completely — especially when it comes to a class catalogue as broad as Skillshare’s. As their online learning community’s base expanded and the class catalog grew even larger, the team realized that if they wanted to engage students, they’d have to find a way to quickly serve each individual with classes tailored to their unique goals and interests.

Vouchercloud turned to Blueshift’s scalable AI-Powered B2C Marketing Automation platform to engage their customers with multi-channels triggered messages based on up-to-the-moment behavioral data. As a forward thinking organization, Vouchercloud recognized the need to move beyond marketing based on simple demographics and attributes common in so many of today’s personalization and automation platforms.
Vouchercloud, UK’s biggest money saving app with more than 7 million downloads, Achieves an 81% increase in Revenue with Behavior-Based Personalized Triggered Messages
Vouchercloud turned to Blueshift’s scalable AI-Powered B2C Marketing Automation platform to engage their customers with multi-channels triggered messages based on up-to-the-moment behavioral data. As a forward thinking organization, Vouchercloud recognized the need to move beyond marketing based on simple demographics and attributes common in so many of today’s personalization and automation platforms.




Hospitality Brand Suiteness Grows Bookings 2X By Scaling Personalization with AI
Rapidly growing hospitality brand Suiteness grew email conversions by 170%, using Blueshift’s AI backed platform to make the content more relevant to the consumer.Learn about Suiteness’ strategy of driving more bookings through moreemails, more segmentation, and more customization.

Urban Ladder Case Study
Urban Ladder Achieves a 4X Conversion Lift Through Personalized Cross-Channel Customer Experiences
Urban Ladder is a leading furniture and home decor company that aims to provide a curated destination for home solutions. Learn how Urban Ladder works with Blueshift to deliver a consistent cross-channel customer experiences based on the most complete 360-degree view of each customer.