Join the Sr. Solutions Architect, Stan Szeto for an introduction and demonstration of Blueshift and learn how you can grow revenue, loyalty, and lifetime value all-in-one SmartHub Customer Data Platform that turns data, AI, and triggered automation into engaging, personally tailored customer experiences across all your channels.

 

Demo Series Transcript: How Real-Time Personalization Drives Smarter Engagement

Speaker:
Stan Szeto, Senior Solution Architect, Blueshift


Setting the Stage: Why Real-Time Marketing Matters

Welcome everyone. I’m Stan Szeto, Senior Solution Architect at Blueshift. Thanks for joining our demo series. Today, we're going to explore how to activate your data—especially real-time data from your website or mobile app—to create faster, smarter, more personalized campaigns that lead to higher engagement and conversions.


Blueshift Overview: SmartHub CDP in Action

Blueshift’s SmartHub CDP powers cross-channel engagement with real-time intelligence. Our AI-driven platform helps brands like PayPal, LendingTree, Tuft & Needle, and Groupon unify customer data and orchestrate 1:1 personalized marketing across channels.

We’re recognized by Forrester and Gartner and trusted by our customers (G2 Leader), and we’re compliant with HIPAA, GDPR, CCPA, and SOC2.


What Makes a SmartHub CDP

Blueshift connects your data ecosystem:

  • Ingests structured and unstructured data from web, mobile, email, POS, and more
  • Unifies customer profiles in real time
  • Powers insights like purchase intent and engagement likelihood
  • Activates across email, SMS, push, in-app, paid media, direct mail, and more
  • Feeds campaign results back into the system for continuous learning

Demo Walkthrough: Real-Time Personalization Journey

Step 1: Profile Creation and Behavior Tracking

We start with the user creating a profile on a sample ecommerce site. As the user browses products, adds items to cart, and removes items, all interactions are tracked in real time.

  • Products viewed: Philips, LG, Logitech home theater systems
  • Product added: Logitech system
  • Data updates live in the customer profile within the Blueshift platform

Step 2: Creating Product Recommendations

Using Blueshift’s recommendation builder, we create an "Abandoned Cart Cross-Sell" module based on recent cart activity. We enhance it with collaborative filtering logic and set backfill rules to display top-selling products when historical data is sparse.

  • Example: If a user added a home theater system to cart, the system recommends related audio accessories

Step 3: Dynamic Email Template Personalization

We embed the recommendation block into an abandoned cart email template. Each recipient sees:

  • Products they added to cart
  • Dynamic recommendations based on their behavior and product affinity

Step 4: Multi-Step Abandoned Cart Campaign with AI Pathing

We build an event-triggered campaign:

  1. Initial Email (A/B Test): Two subject lines to test performance
  2. Follow-up Email: Sent only if the first is opened
  3. AI-Based Split:
    • Low purchase intent: Send 15% discount
    • High purchase intent: Send 5% discount

This smart discounting increases margin efficiency while optimizing conversion.

Step 5: Multichannel Recovery

If the user doesn’t engage via email:

  • Push Notification: Triggered if app is installed and push is their preferred channel
  • SMS: Sent if push isn’t engaged and SMS is their preferred channel

Each message is dynamically personalized using the same recommendation logic.


Analytics and Reporting: Measuring Campaign Impact

Blueshift includes prebuilt and customizable reports. In the demo, we use the Top Performing Campaigns report to compare click-to-open rates:

  • Real-time event-triggered campaigns (e.g., abandoned cart, welcome series) consistently outperform batch campaigns
  • Mobile push campaigns deliver 3x engagement versus email during high attention windows

Benchmark Insights from Blueshift Customers

From a study of 15 billion events across our platform:

  • +497% uplift from real-time triggered emails vs batch sends
  • +3x engagement from mobile channels (push, in-app) vs email
  • +116% increase in performance with 1:1 product recommendations
  • +283% increase in conversions with omnichannel strategy vs single-channel

Q&A Highlights

Q: How fast does Blueshift process incoming data?
A: We offer sub-second ingestion via APIs, JavaScript tags, and mobile SDKs.

Q: Can I use recommendations with a small catalog?
A: Absolutely. Even with a few dozen SKUs, personalized offers outperform static content.

Q: Can Blueshift integrate with external ESPs or platforms?
A: Yes. Using our Cloud App framework, we can push data into other execution platforms like legacy ESPs.

Q: Do you support offline and emerging channels?
A: Yes. Blueshift supports direct mail, WhatsApp, Facebook Messenger, and integrates with direct mail vendors like Lob.


Final Thoughts

Blueshift empowers marketers to act on real-time data with predictive intelligence and cross-channel automation. By using a SmartHub CDP, brands can:

  • Unify customer profiles
  • Predict the right message, time, and channel
  • Drive measurable increases in engagement, conversion, and margin

Learn more at blueshift.com/customer-demo or contact your CSM for next steps.

Thanks for joining us!