Five Ways RESUL Individualizes Every Offer
Individualized Dynamic Offers
Deliver the right offer to every customer. RESUL determines offers for new and returning audiences based on location, persona, propensity, look-alike profile, past action, and real-time behavior.
Discover Dynamic Offers →Multi-Tiered Cascading Offers
Keep non-responders engaged. When a customer does not act on the first offer, RESUL retargets with progressively more valuable alternatives through the channel most likely to convert.
Discover Cascading Logic →Geo-Fenced Recommendations
Match offers to where customers actually are. RESUL configures offer delivery based on audience location, with scalable recommendations across markets and regions.
See Geo-Fencing →Intuitive Offer Creation
Launch new offers without complex setup. Integrate existing offers or create new ones in RESUL, with rules for volume, format, duration, campaign, media, product, and audience attributes.
Discover Offer Creation →Optimized Omnichannel Delivery
Reach every customer through the channel most likely to convert. RESUL continuously optimizes when, where, and what offer is delivered based on evolving behavior and journey context.
Discover Omnichannel Offer Delivery →Offers That Earn Responses and Prove It
Beyond Discount and Sale
An offer is not just a price cut. RESUL supports exclusivity, early access, bundled value, loyalty recognition, and other value-led offers that can be delivered, tested, and measured.
Propensity-Driven Targeting
Every offer is matched to each individual's propensity, derived from past behavior, custom attributes, and look-alike profiles. For new customers with no history, a default offer can be served.
Cascading Retargeting
When the first offer does not convert, RESUL cascades through more relevant or valuable alternatives, each delivered through the channel most likely to reach that individual.
Cross-Sell and Upsell, Tagged
Tagged offers enable contextual cross-sell based on product ownership, purchase history, and interest signals, so the next offer is relevant to what the customer is likely to buy next.
Real-Time, Not Batched
RESUL makes offer decisions at the moment of interaction, so each customer receives an offer based on their real-time behavior.
Seven-Level Attribution
Every offer is tied back to revenue across campaign, individual, brand and product, offer, channel, location, and last-mile associate levels.
Frequently Asked Questions
Next-Best Offer delivers the individually optimized offer to every customer at the right time and place, using propensity, location, behavior, and look-alike profile to decide what each person is most likely to respond to.
An offer is a value-led incentive or experience presented to an audience. It can be a discount, a bundle, an early access offer, a loyalty reward, exclusive content, or a personalized product recommendation.
When a customer does not respond to the first offer, RESUL retargets with another offer, often more relevant or valuable and sometimes through a different channel. Each cascading level is tracked and attributed separately.
Yes. RESUL integrates existing offers from your systems through API, or teams can create new offers in the platform. Integration with direct mail providers is supported for targeted attributes and offer codes.
Yes. For new audiences or customers without matching propensity signals, RESUL can serve a default offer while it builds a profile. Look-alike matching accelerates targeting for audiences similar to existing converters.
Yes. RESUL supports business rules and overrides alongside AI recommendations, so teams can enforce eligibility, compliance, pricing, regional restrictions, or campaign-priority logic when needed.
RESUL attributes every offer across campaign, individual, brand and product, offer, channel, location, and last-mile associate levels, so revenue impact is visible for every offer that runs.