Personalized Promotions

Personalized Promotions is Eagle Eye’s AI-powered personalization engine for creating and executing individual promotional offers at enterprise scale. Instead of assigning shoppers the “best fit” from a limited set of pre-built offers, it dynamically creates unique offers based on each customer’s behavior and retailer-defined objectives, budgets, and rules.

Each offer can be personalized across key variables, including:

• Product or category: Select what each customer is most likely to respond to.
• Spend or quantity threshold: Set an individual target based on expected shopping behavior.
• Reward value: Determine the incentive needed to encourage the desired action.
• Offer content: Present the promotion with clear, personalized messaging.

This created-not-curated approach lets retailers move beyond broad customer segments and deliver true 1:1 personalization across millions of offers.

Personalized Promotions combine human direction with AI-driven offer creation and real-time execution. Retail teams define the commercial objective, budget, rules, and reward boundaries. AI then analyzes customer data to create individual offers, sends them to customer wallets, supports real-time redemption, and measures performance from a single dashboard.

The process has four main stages:

1. Set objectives and guardrails. Define goals such as recruiting new buyers, rewarding existing customers, or allowing AI to optimize the objective. Set budgets, offer difficulty, reward ranges, and eligibility rules.
2. Create individual offers with AI. Algorithms analyze transaction history, product affinities, previous promotion behavior, shopping predictions, and offer sensitivity to determine the right offer for each customer.
3. Execute offers in real time. Personalized offers are delivered to customer wallets and can be redeemed across in-store and ecommerce channels at checkout.
4. Measure and optimize performance. Track ROI, incremental sales, audiences, and budget usage through a single reporting environment.

Retailers remain in control throughout. The AI works within the strategy, financial limits, and business rules set by the marketing team.

Personalized Promotions improve promotional ROI by using customer-level data to determine who to reward, what behavior to encourage, and how much incentive to give. This reduces unnecessary discounting while directing promotional spend toward offers designed to generate incremental customer behavior.

Several capabilities contribute to higher promotional efficiency:

• Reward incremental behavior. AI can set qualification requirements based on expected customer behavior, reducing the risk of rewarding purchases that were likely to happen without an incentive.
• Optimize reward values. Retailers define budgets and reward limits, while AI determines individual incentive levels within those boundaries.
• Reduce campaign workload. Automated offer creation, allocation, execution, and reporting can reduce campaign setup from weeks to minutes.
• Support supplier-funded promotions. AI-driven lookalike targeting can identify prospective buyers for consumer packaged goods (CPG) brands, while individual-level attribution and closed-loop reporting measure reach, performance, incrementality, and sales impact.

The result is a more measurable approach to promotional investment, with greater control over both customer relevance and promotional spend.

Eagle Eye’s AI analyzes customer behavior and promotion data to determine the offer most appropriate for each individual. The underlying AI models process and learn from 2.8 billion customer interactions per minute, using signals such as transaction history, product affinity, shopping predictions, previous promotion responses, and offer sensitivity.

The AI can personalize several parts of an offer:

• Product selection: Match customers with relevant products or categories based on previous purchases, affinities, and likely future behavior.
• Customer objective: Create offers designed to recruit new buyers, reward existing customers, or optimize against retailer-defined goals.
• Spend or quantity threshold: Set an individual qualification level designed to encourage incremental purchasing behavior.
• Reward value: Determine an appropriate incentive within the retailer’s approved reward range and budget.

Retailers set the objectives and boundaries. The AI determines the individual offer within those controls, allowing personalization to scale without requiring teams to manually create offers customer by customer.

Yes. Personalized Promotions supports real-time omnichannel execution across point of sale (POS), ecommerce, and loyalty wallets. Offers can be allocated to individual customer wallets and evaluated when a customer identifies themselves during an in-store or online transaction.

The solution works with Eagle Eye’s API-first, cloud-native infrastructure to connect personalization with existing retail systems. At checkout, eligible promotions can be identified and applied while the transaction is taking place.

Eagle Eye AIR has an average API response time of 150 milliseconds, supporting the real-time execution required for high-volume retail environments. This connects AI-created personalization with the moment a customer is ready to buy.