Blueshift Reviews & Pricing

by Blueshift Labs | Founded 2014, San Francisco, CA

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Overview Pricing Benefits Reviews Features

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What is Blueshift?

Industry Specialties: Serves all industries

Blueshift is a customer data platform (CDP) that unifies data, intelligent decision making and omnichannel interactions to deliver connected experiences to customers at every interaction. SmartHub CDP helps create content, engage users and activate customer data. It brings together customer profiles and segments audiences to deliver personalized and relevant content to customers.

It uses AI for decisions and predictions and to build automated omnichannel and automated customer journeys. Its capabilities include mobile marketing, website personalization, email automation, audience targeting and contextual chat.

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Blueshift Pricing

Based on our most recent analysis, Blueshift pricing starts at $60,000.

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Starting From: $60,000
Pricing Model: Still gathering data
Free Trial: Yes, Request for Free

Training Resources

Blueshift is supported with the following types of training:

Documentation
In Person
Live Online
Videos
Webinars

Support

The following support services are available for Blueshift:

Email
Phone
Chat
FAQ
Forum
Help Desk
Knowledge Base
Tickets
Training
24/7 Live Support

Blueshift Benefits and Insights

Why use Blueshift?

Key differentiators & advantages of Blueshift

Orchestrates Omnichannels: Coordinate campaigns across channels using an intuitive interface to drive growth and engagement. Personalize recommendations based on segments and templates.
Predicts Intelligently: Generate predictive scores to rank customers with customizable and transparent predictive models. Dynamically update customer actions based on segments and scores. Create messages across all channels with content and product catalogs.
View Single Customers: Customize and create content blocks with special offers, recommendations and more. Control types of content and products that are included and excluded. View limited quantity products by syncing with the product catalog.
Segment Audiences: Segment and create campaigns using conditions, channels and other criteria. Customize dashboards, reports, visualizations and metrics to collect insights in real time.
Personalize Content: Use the external fetch feature to pull data and content from API endpoints and include it in sent messages. Analyze product interactions and customer behavior to create and send relevant content.

Industry Expertise

It draws from customer data to deliver personalized experiences.

Key Features

Email Automation: Create and send branded emails with its drag-and-drop editor or HTML with Liquid. Add product recommendations and adaptive content based on user behavior and predictive analytics. Deliver insights for transactional and promotional campaigns.
Mobile Marketing: Send push notifications, in-app and tailored SMS messages with an Android and iOS template builder. Integrates with a single click with mParticle, Segment and Metarouter. Customize product recommendations and content within and outside the app.
Website Personalization: Personalize websites dynamically and deliver content based on product interactions, location and lifecycle stage using historical data across channels. Coordinates next actions, cross-sells and upsell campaigns.
Audience Targeting: Focus on valuable audiences with predictive intelligence. Coordinate targeting to reach customers across various media partners. Use customer views to engage with audiences.
Integrations: Integrates natively with Taboola, Facebook, Twitter, Google, Pinterest, Snap, Verizon Media, Quora, AdRoll, Criteo and more.
Contextual Chat: Trigger chats to simplify purchasing. Provide activity and customer profile to increase customer engagement. Get insights into anonymous customers.
IVR: Address calls and collect information into customers’ history and behaviors. Personalize and trigger follow-up calls to respond to customer activity. Integrate IVR with customer journeys across all channels.

Limitations

At the time of this review, these are the limitations according to user feedback:

Dashboards can be buggy.
Filtering campaign trends by templates and performance at the same time may not be possible.
Reporting capabilities could be improved.