Powerful AI-based tool for data-driven marketing
August 21, 2018

Powerful AI-based tool for data-driven marketing

Divya Mulanjur | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Blueshift

Blueshift is primarily used by the marketing department for data-driven, personalized and automated lifecycle email marketing. Recently we started utilizing Blueshift messaging through SMS to support our customer support team.

While looking for a solution for us, it was important that the platform offered hotel and travel-specific features, like segmenting users based on data like travel dates, location or hotel type. Blueshift was one of the only platforms that was able to do this and continues to work with us to introduce features that work for our specific needs.

  • Customer Segments + Recommendations Tool - Blueshift and has helped with automating and personalizing our retargeting efforts. The true value of Blueshift was realized when we could launch triggered marketing campaigns targeted to specific segments based on a user's behavior onsite, and deliver relevant personalized content using the AI-based Recommendations tool.
  • Integration with Segment and other apps
  • Retargeting with dynamic content pulled from data feeds / catalogs
  • Onboarding: Onboarding can take a while and certain features like segment filters aren't very intuitive. However, they set up regular calls with a dedicated account lead to help with initial difficulties.
  • Reporting: While Blueshift certainly has helped with reporting and tracking, it is still very basic and it would be great to see more in-built customizations starting with tagging campaigns. At this point, you still need to download data on to excel to work on it.
  • Blueshift has had a tremendous impact on our email marketing KPIs. The AI-based approach and Recommendations tool has led to increased engagement.
Blueshift is a great AI-based platform for travel companies that would like to retarget users as the platform is able to look at last searched dates, location, and hotel/ room type.