Image credit: Inspired by Productled.org.
Product-Led Personalization as Technology
The quest to solve the infinitely complex ecommerce challenge of matching a vast array of products to diverse shoppers with unique needs at different stages of their buying journey.
Product Buying Patterns
High-performing product buying patterns.
Our technology was born from an accidental insight. After years of delivering personalized product recommendations to countless ecommerce brands, our AI algorithms revealed that buying journeys often follow repeatable product buying patterns, which are far more effective at predicting individual shopper needs than profile attributes or past activity alone.
Uplift Modeling
Visualizing data modeling results with quadrant charts and memorable labels.
To maximize email marketing performance, we are refining product buying patterns for email shoppers by conducting uplift data modeling on cohorts influenced by email marketing compared to those who were not.
Continuous Improvements
Actionable insights into the customer experience throughout the entire buying journey.
Despite utilizing advanced AI algorithms and data modeling, the app is designed to empower marketers to control the direction and drive ongoing improvements based on actionable insights into the customer experience throughout the entire buying journey.
Product-Led Personalization as Business Strategy
Driving shopper acquisition, engagement, monetization, and retention through product buying patterns.
ACQUISITION
Amplify Shoppers’s Intent
Leverage a shopper’s prior interactions with your brand to display the most relevant products.
ENGAGEMENT
Extend Buying Journey
Drive email traffic to landing pages that have high engagement and product discovery rates.
MONETIZATION
Grow Revenue and Margins
Minimize price discounting by directly connecting shoppers with products they want to buy.
ENGAGEMENT
Increase Lifetime Value
Allow existing customers to discover the breadth and full value of your brand’s offerings.
Product-Led Personalization as a Best Practice
To unlock the full revenue growth potential of product buying patterns, treat each email open as a critical customer engagement opportunity, delivering a near-seamless online store experience.
Wide-Net Approach
A visual depiction of how multiple buying patterns are needed to adapt to customer buying signal.
In email marketing, no prior product views, add-to-cart actions, or purchase events can accurately predict a shopper’s exact needs with certainty. That’s why your emails should act as a wide net, incorporating multiple buying patterns to increase the success rate with different types of shoppers at various stages of their buying journey, each expecting a unique buying experience.
EXAMPLE
With Email Pulse, email marketers continue to use their existing email templates and automated flows, now enriched with multiple product buying patterns that bring the in-store buying experience directly into the email.
Conventional Emails
DRIVING EMAIL SHOPPERS TO AN ONLINE STORE
Email Pulse Emails
BRINGING THE ONLINE STORE INTO EMAILS
Works With Your Favorite Apps
