RESUL AI-Powered Audience Segmentation | Real-Time Targeting

Target the Right People. Not Just the Biggest List.

AI-powered audience segmentation that builds precise customer segments in minutes, with real-time updates, behavioral targeting, propensity scoring, and lookalike expansion.

How RESUL Solves Segmentation Challenges

Find What Eludes Traditional Targeting

Most segments rely on predefined rules. Genie analyzes your full dataset to uncover hidden audiences you would struggle to identify manually.

Real-Time Segmentation Stays Current

Segments become outdated quickly. RESUL updates your audiences instantly as customer data changes, so targeting always reflects the latest activities.

Behavioral Segmentation Drives
Smarter Targeting

RESUL builds segments based on actions, intent, and engagement patterns, enabling targeting based on predicted behavior, not just recent actions.

Build Better Segments without Tech Support

RESUL makes segmentation accessible to your entire team, so targeting the right audience doesn’t require SQL or engineering support.

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Audience Segmentation Capabilities

AI-Generated Smart Segments

Tell Genie the audience you need. It then combines event data, behavioral signals, and brand data to generate optimized segments in minutes.

pre-built connectors

Continuous Attribute Derivation

RESUL automatically derives new attributes from customer interactions, turning behavioral patterns into actionable targeting criteria.

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Individual Propensity Scoring

Genie calculates offer, content, action, and product propensities for every customer, enabling behavioral segmentation and individual targeting at scale.

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Lookalike Targeting

Expand your reach by identifying new contacts who share traits with your highest-value customers using propensities, responses, and AI-driven signals.

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Diverse Target Lists

Create and tweak your audience with dynamic lists, ad hoc lists, seed lists, match lists, and suppression lists.

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50M

Records ingested
in under 30 minutes

<50ms

Identity Resolution
per record

3500+

Attributes supported per
customer record

150+

Pre-built connectors for
data ingestion

Smart Duo Capabilities

Identity Resolution

Match anonymous and known users across devices and channels to build unified, evolving profiles.

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Real-Time Triggers

Activate next-best communications instantly based on individual behavior, context, and profile updates.

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End-to-End Attribution

Understand which journeys and touchpoints drive conversion at the individual level.

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Omnichannel Activation

Trigger personalized interactions across every channel, from email, push, in-app, web, SMS, social, and QR to IoT-enabled and offline touchpoints.

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Progressive Profiling

Capture relevant data over time without friction, enriching profiles with each interaction.

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Features to Unlock Your Data

A complete audience view is only valuable when your teams can use it. RESUL turns unified customer data into the foundation for smarter targeting, real-time personalization, and connected engagement across every channel.

Audience Data Platform

Unify, enrich, and fully activate your data—whatever the source, type, or scale—to unlock a real-time, 360° customer view.

Explore Audience Data Platform →

Personalize Every Interaction

Use unified profiles, preferences, intent signals, and AI recommendations to deliver relevant content, offers, products, journeys, and channel experiences.

Explore Personalization →
RESUL Genie AI

Agentic AI Data Transformation with Genie

  • Auto-segmentation

    Genie combines event processing, streaming data, brand data, and behavioral signals to construct unbiased segments and uncover hidden audiences using real-time and historical patterns.

  • Dark data discovery

    Genie scours databases for scattered, unstructured data that traditional data ingestion misses, surfacing insights that would otherwise remain hidden.

  • Data quality scoring

    Continuously score and flag quality issues such as duplicates, incomplete records, and stale attributes before they affect downstream decisions.

  • Lead scoring and persona building

    Build detailed B2C and B2B personas. Configure propensity-based lead scoring to assign values to every contact based on engagement, behavior, and fit.

  • Predictive enrichment

    Infer missing attributes and predict customer behavior using patterns across your entire dataset, helping anticipate Next-Best Actions.

#Gnef4dHumZ0Lpj
Find hidden audiences in our Spring Sale audience data
Thu, May 14, 2026, 08:16 PM
User
Genie
Genie
#GnefqI5xzDHm2t

I found 4 audience segments that weren't part of your original Spring Sale segment.

8.4k
High-intent browsers
Viewed sale items 3+ times, no purchase
11.2k
Loyalists at risk of missing the sale
Repeat buyers, no Spring Sale engagement
16.5k
Price-sensitive product explorers
Clicked discount-led content across categories
12.1k
Cart abandoners with renewed interest
Returned after prior drop-off
#Gnef4dHumZ0Lpj
Look across call center notes, branch inquiries, and incomplete loan applications. What explains the drop-off in personal loans?
Thu, May 14, 2026, 08:16 PM
User
Genie
#Gnef4dHumZ0Lpj
Before we launch our summer rebooking journey, score traveler profiles and flag data issues that could weaken targeting.
Thu, May 14, 2026, 08:16 PM
User
Genie
#Gnef4dHumZ0Lpj
Build buyer personas from our recent product-demo leads and score which accounts are most likely to convert this quarter.
Thu, May 14, 2026, 08:16 PM
User
Genie
#Gnef4dHumZ0Lpj
Enrich incomplete owner profiles and predict which customers are most likely to need service, consider an upgrade, or respond to a trade-in offer.
Thu, May 14, 2026, 08:16 PM
User
Genie

Frequently Asked Questions

AI-powered audience segmentation in RESUL uses real-time behavior, intent, attributes, and past campaign outcomes to automatically group users. Instead of static rules, segments are continuously updated as customer behavior changes.

RESUL updates your audiences the moment new data is received. When a user browses, clicks, or takes any action, their segment membership is recalculated instantly, allowing you to act on live intent rather than outdated lists.

Yes, RESUL uses AI to generate and refresh customer segments based on behavioral patterns. You can use these segments directly or refine them manually without relying on SQL or engineering support.

RESUL goes beyond basic behavioral segmentation by combining actions, timing, frequency, and outcomes. This allows you to segment users not just by what they did, but by how likely they are to convert or engage next.

Yes, RESUL identifies high-value patterns across your data to build predictive segments and lookalike audiences, helping you target users who are most likely to behave like your best customers.