Personalized Offer Injection System for Webpage Engagement
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Solution Overview
Problem
Users face difficulties in accessing personalized offers on websites, often finding invalid or expired discount codes on third-party sites, which can lead to decreased sales and brand loyalty, as well as a lack of personalized encouragement to purchase products or services.
Innovation Solution
A system that detects user interactions on websites to create personalized profiles, providing relevant offers with countdowns and progress indicators, ensuring offers are consistent with the website's branding and style, and updating offers in real-time to maintain user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If offers are displayed only on landing page or home page, then website structure is simple, but user accessibility to offers is poor
Solution Approach 1:
The patent segments offers into different categories (e.g., welcome offers, cart abandonment offers, post-purchase offers) and displays them at different stages of the user journey. Offers are divided into those shown on landing pages versus those embedded within product pages, allowing users to access relevant offers at the appropriate moment without overwhelming the overall site structure.
Solution Approach 2:
The patent introduces an intermediary offering module that acts as a bridge between the website's product catalog and promotional offers. This module automatically injects relevant offers into product pages based on user behavior, cart contents, and offer rules, making offers accessible without requiring users to navigate to separate pages or sections.
2Reliability
If third-party websites provide discount codes, then users can find external offers, but codes may be invalid or expired reducing user trust
Solution Approach 1:
The system performs preliminary validation and verification of all offers before displaying them to users. Offers are pre-checked for validity, expiration dates, and applicability to specific products or user segments. This ensures that only reliable, working offers are presented to users, eliminating the frustration of encountering invalid third-party codes.
Solution Approach 2:
The offering module automatically monitors and updates offer status in real-time, checking validity and expiration without requiring user intervention. The system self-manages the offer lifecycle from creation to expiration, ensuring users always see currently valid offers without needing to search external sources or verify codes themselves.
3Adaptability or versatility
If website provides generic offers to all users, then implementation is simple, but personalization and user engagement are reduced
Solution Approach 1:
The patent applies local quality by tailoring offer content, discounts, and promotions to specific user segments, individual user profiles, and contextual situations. Different users see different offers based on their purchase history, browsing behavior, demographics, and current cart contents, making each user experience uniquely relevant without requiring manual customization for each user.
Solution Approach 2:
The offering module dynamically adjusts offers in real-time based on changing user behavior, cart modifications, and session context. Offers can be created, modified, or withdrawn automatically based on predefined rules and user actions, allowing the system to adapt to each user's needs without static, pre-configured offer sets.
4Productivity
If offers require threshold value purchases, then sales value increases, but users may not be aware of additional items needed
Solution Approach 1:
The patent implements feedback mechanisms that continuously inform users of their progress toward meeting offer thresholds. The system displays real-time updates showing how much additional purchase is needed to qualify for offers, breaking down requirements by product category or item type. This keeps users informed without requiring them to calculate thresholds manually.
Solution Approach 2:
The offering module adds a visual dimension to threshold requirements by displaying progress indicators, completion bars, or gamified elements that show users how close they are to unlocking offers. This transforms the abstract concept of a monetary threshold into a tangible, visual progress metric that motivates users to continue shopping.
5Productivity
If offers are not updated in real-time, then system complexity is reduced, but user engagement and conversion rates decrease
Solution Approach 1:
The offering module maintains continuous monitoring and updating of offer availability, user eligibility, and threshold progress without interruption. Offers are updated in real-time as users add or remove items from carts, as promotions expire or activate, or as user profiles change, ensuring the offer information is always current and actionable.
Data Source
AI summary
An example method includes detecting, using a user interaction tracking module associated with a website, access of a user of a webpage that is part of the website. The website provides multiple products for sale and is operated by an entity. The user interaction tracking module is provided by an offer aggregator entity that is distinct from the entity. The website has a theme providing a look and feel for the website. The method further includes accessing a profile of the user and identifying, based on the profile of the user, multiple offers to provide to the user. Each offer includes an offer title and a reference to one or more products of the multiple products. The method further includes providing for display to the user in the webpage the multiple offers. Each offer for display includes the offer title and the reference and has the theme of the website.