Growth Play

Progressive Profiling

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.

Increase the value of every known customer

Collect declared, consented preferences across touchpoints, so customer understanding deepens naturally over time.

Increase AOV

Drive higher order value with offers and recommendations rooted in what customers actually want now.

Drive higher CVR and engagement

Turn progressive insight into smarter messaging across web and email, increasing conversion rates and click-through performance.

Start with what you know.
Grow what you understand.
Increase customer value over time.

Common questions

What is Progressive Profiling?

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.

How is Progressive Profiling different from a traditional preference center?

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.

How can I implement Progressive Profiling?

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.

Does progressive profiling use AI?

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.

How does Progressive Profiling improve AOV and CVR?

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.

How do profiles update in real time?

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.

When should I use the Progressive Profiling Growth Play?

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.

Let's turn customer understanding into your biggest growth lever