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Demo Series Transcript: How AI and Machine Learning Can Drive Results
Speaker:
- Jolyon Hunter, Solutions Consultant, Blueshift
Introduction to the Session and the Power of AI in Marketing
Welcome to the Blueshift Public Demo Series. I’m Jolyon Hunter, Solutions Consultant at Blueshift. I’ve spent my career in digital marketing and marketing tech, working with ExactTarget, Salesforce Marketing Cloud, and Accenture Interactive. I’m here to walk you through how Blueshift’s AI and machine learning capabilities help marketers drive real results.
Today’s session covers:
- A quick introduction and context for AI in marketing
- A deep dive into the Blueshift platform and AI implementation
- Live demos of predictive scoring, personalization, segmentation, and campaign orchestration
- Real-world results from leading brands
Blueshift’s Founding Story and Platform Overview
Blueshift was founded in 2014 by Mehul, Vijay, and Manyam—experts in AI and marketing who previously built and sold companies to Walmart and Groupon. Their mission was to solve the growing complexity of customer engagement by bringing together AI and real-time data into a unified platform.
Today, Blueshift is trusted by brands like CarParts.com, LendingTree, Zumper, and Tuft & Needle. We’re GDPR, HIPAA, and SOC2 compliant, and we’re consistently recognized by Gartner, Forrester, and G2 Crowd.
Why AI Is Key to Modern Personalization at Scale
Marketers want to:
- Predict who will purchase
- Recommend what products to offer
- Know when and where to engage users
- Create one-to-one personalized journeys
But only 5% of marketers achieve true 1:1 personalization at scale. Our joint research with Kelton found the top barriers are:
- Poor data collection and unification
- Complex use cases requiring advanced tools
- Legacy platforms that can’t scale with AI
When implemented properly, AI works:
- 98% of marketers using AI saw improvement
- 81% reported at least a 30% revenue lift
Blueshift’s Three Principles of AI
- Transparency: No black boxes. You see the inputs, logic, and outputs.
- Simplicity + Power: Easy to use but powerful enough for complex needs.
- Activation: Predictive intelligence is accessible across all channels and touchpoints.
Live Demo: Inside the Blueshift Platform
Customer Profile Overview:
- View real-time and historical activity
- See predictive scores for purchase, retention, and engagement
- Channel affinities and engaged time predictions
- Unlimited custom attributes—no data caps
Segment Builder:
- Filter users based on behavior, predictive scores, affinities, and more
- Real-time updating and intuitive interface
Predictive Studio:
- Create custom models like purchase intent or churn risk
- Define funnel events and lookback windows
- Visualize variable importance and conversion rates
- Choose refresh frequencies (daily, weekly, etc.)
Personalized Recommendations Engine
- Show products based on recent views, excluding already purchased items
- Backfill options for fallback logic (e.g., bestsellers, trending products)
- Use predictive affinities to display what users are most likely to buy next
Omnichannel Campaign Orchestration
Campaigns support:
- Event triggers (e.g., post-purchase)
- Segment triggers (e.g., at-risk users)
- A/B testing, conditional logic, and channel prioritization
- Personalization based on predictive scores and affinities
Example:
- Send confirmation via email
- Follow up based on channel preference—email, SMS, or push
- Personalize content with product recommendations
Measuring the Impact: Reporting and Dashboards
- Pre-built reports on send time optimization and predictive lift
- Custom dashboards for stakeholders (e.g., CMO-level overviews)
- Track campaign impact on revenue, engagement, and conversions
Customer Success Stories
- Skillshare: 89% increase in enrollments using predictive content
- Zumper: 384% increase in leads using AI-powered recommendations
- LendingTree: 35% revenue lift with engaged time optimization
- CarParts.com: 400% boost in engagement via channel predictions