Your customer data has an expiration date. Progressive profiling keeps it fresh, so every campaign, offer, and recommendation reflects who your customer actually is right now.

Collect declared, consented preferences across touchpoints, so customer understanding deepens naturally over time.
Drive higher order value with offers and recommendations rooted in what customers actually want now.
Turn progressive insight into smarter messaging across web and email, increasing conversion rates and click-through performance.
Create natural moments to ask for preferences—from quick prompts to richer interactive experiences.
Every insight collected is intentional, measurable, and builds directly into the customer profile over time.
Update customer profiles the moment new preferences are captured.
As profile depth grows, segmentation sharpens, personalization becomes more relevant, and customers feel understood, building trust naturally over time.
Autonomously select the right content, offer, or message for each customer based on newly declared preferences.
As profiles deepen, audiences update, and engagement adjusts in real time, ensuring decisions reflect the most current customer understanding.

Growth Plays
When you understand every customer and act fast, growth compounds across the entire journey.
Lookalike Audience Expansion
Intent-Based Targeting
AI Discovery Optimization
Anonymous Visitor Identification
Progressive Profiling
Vwam
First-Purchase Acceleration
Abandon Cart Recovery
Order Value Expansion
Customer Reactivation
Loyalty Tier Progression
Smart Replenishment Upselling
Customer Drop-off Prediction
Advocacy Growth
Progressive Profiling is collecting customer preferences and consent gradually over time instead of asking for everything in a single form. Rather than relying on one-time data capture, brands introduce structured preference moments across web and email interactions. Each new declared insight updates the customer profile in real time, increasing data depth per known customer and improving personalization over time.
Progressive Profiling is different from a traditional preference center because it continuously captures new preferences over time, while traditional preference centers collect information once and remain static.
You can implement Progressive Profiling by launching structured preference capture experiences across web and email that collect declared insight gradually. Start with a small set of high-impact attributes, update unified profiles in real time as preferences are captured, and measure incremental profile enrichment against your baseline. As profile depth increases, you can layer in next-best-action models to refine engagement decisions.
Progressive profiling itself focuses on real-time profile enrichment, but it can power AI-driven next-best-action models. As customers share more declared preferences, trained AI models can use updated profile attributes to determine what content, offer, or message should be delivered next across channels.
Progressive Profiling improves AOV and CVR by increasing personalization precision. When customers declare preferences over time, messaging, offers, and product recommendations reflect what they have explicitly shared. This higher relevance drives stronger engagement, higher average order value, and improved conversion performance.
Profiles update in real time when new declared preferences are captured through web or email interactions. Each new attribute is immediately added to the unified customer profile with consent included, making it instantly available for segmentation, personalization, and modeling.
Use the Progressive Profiling Growth Play when you have known customers but limited declared insight to personalize effectively. It is especially valuable when you want to increase AOV, improve conversion, and prepare your data foundation for AI-driven next-best-action strategies.