Offer Intelligence

Use discounts only when they create profit.

OfferOpt uses Customer and Commerce Intelligence to determine when a retailer-approved offer is likely to create more profit than doing nothing.

Profit-focused
Customer-aware
Demographic and contextual signals where permitted
No retailer-specific training cycle
Retailer-approved
Measured against a control

See Offer Intelligence Shopping Intelligence Overview

The Retailer Problem

More conversion does not always mean more profit.

Blanket discounting can increase orders while unnecessarily giving away margin. The real question is whether the offer changed the purchase decision enough to create incremental profit.

What better looks like

Stop discounting when the discount does not create incremental profit.

Profit Before Redemption

Make the economics earn the discount.

Use current customer and commerce context under retailer controls to decide whether an approved offer is likely to create more value than doing nothing.

Profit-First Optimization

Optimize for profit, not discount volume.

Offer Intelligence considers customer context, behavior, cart context, product economics, margin, eligibility, and approved merchant rules to identify situations where an offer is expected to create more economic value than doing nothing.

The model supports a better decision. It does not promise perfect prediction.

Customer behavior and cart context
Product economics and margin
Merchant eligibility rules
Incremental revenue and profit objectives

Decision Context

Use more context than cart value alone.

Shared Customer and Commerce Intelligence can add permitted customer segments, behavioral context, and demographic context where configured and compliant. Sensitive-attribute targeting is not part of the value proposition.

Customer segments where permitted
Behavioral and lifecycle context
Commerce Intelligence context
Optional consented demographic enrichment

Retailer Control

Your team controls every offer.

OfferOpt prepares and evaluates supported offer decisions under merchant approval, rules, eligibility, and guardrails. It does not autonomously change pricing or activate a discount without retailer authority.

Retailer-approved discounts
Merchant eligibility and frequency rules
Controlled activation
Pause and reversal controls where supported

Proof

Did the offer actually create more profit?

The goal is not to prove that discounted shoppers converted. It is to prove that the offer created incremental economic value compared with the right control or holdout.

Measured against the right evidence

Control and holdout comparisons
Incremental revenue
Conversion
Margin
Profit
Discount-waste reduction

How It Works

Put profit-aware offers to work under your rules.

Combine pretrained Offer Intelligence with current customer and commerce context, then activate only supported, retailer-approved offer types.

No Training Cycle

Start without a retailer-specific training cycle.

Use pretrained Offer Intelligence with current catalog, inventory, cart, eligibility, and margin context from initial deployment instead of waiting to train on retailer-specific discount history.

Pretrained Offer Intelligence
Current cart and product context
Merchant eligibility rules
Margin-aware guardrails

Customer and Commerce Intelligence

Bring the decision context together.

Use permissioned customer context alongside conversion signals, CRO opportunities, margin, experimentation, and measured performance to decide whether an offer deserves to run or scale.

Behavioral and lifecycle context
Conversion and session context
Margin and product economics
Experiment and performance evidence

Supported Offer Types

Match the incentive to the economic case.

Use supported offers across specific shopping contexts instead of applying blanket discounts to every session.

Targeted discounts and contextual promotions
Cart-risk offers
Linger and exit interventions
Shipping incentives and segment-aware promotions

One Customer Intelligence Platform

One platform. Shared intelligence.

AI Shopping Assistant, Recommendation Intelligence, and Offer Intelligence use the same Customer Intelligence, Commerce Intelligence, experimentation, and measurement foundation.

These are shopper-facing capabilities within OfferOptics, not separate platforms. Provider context and actions that require verified Full Platform connections remain bounded by tenant permissions and retailer controls.

AI Shopping Assistant Recommendation Intelligence Offer Intelligence

See It in Your Business

Put profit-aware offer decisions to work.

Use Offer Intelligence with the full OfferOptics platform for one month and measure incremental revenue, margin, and profit under your guardrails.

Use the full OfferOptics platform free for one month, including Customer Intelligence, merchant-controlled automation, experimentation, and measurement. Subject to fit review and approval.

See Offer Intelligence Shopping Intelligence Overview