Incomplete Electronic Form Scraping for Consumer Identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Business entities lose potential consumers when they abandon electronic forms without completing the data entry process, leading to lost revenues due to unknown reasons, and there is no effective way to retrieve and utilize the partially entered data for targeted marketing.
Innovation Solution
A system and method to scrape data from partially completed electronic forms, identify the consumer using databases, and provide intelligent marketing based on the scraped data, including determining preferred communication methods and sending personalized messages to entice consumers to complete the forms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data scraping is used to retrieve information from abandoned forms, then consumer identification capability is improved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary data scraping module that acts as a bridge between the abandoned form and the consumer database. This module extracts relevant data from the form and uses it as a key to query the consumer database, thereby identifying the consumer without requiring direct integration between all system components. This intermediary approach resolves the contradiction by enabling consumer identification while maintaining modular system architecture.
Solution Approach 2:
The patent extracts only the essential identifying information from the abandoned form (such as email address, phone number, or partial personal details) rather than processing the entire form data. This extracted data is then used to query the consumer database for full identification. This extraction principle reduces the complexity of data handling while maintaining the ability to identify consumers effectively.
2Productivity
If intelligent marketing modules are added to analyze and contact consumers, then marketing effectiveness is improved, but device complexity increases
Solution Approach 1:
The patent divides the marketing system into distinct functional modules: a data analysis module that processes scraped form data, an intelligent marketing matrix module that determines contact strategies, and a communication module that executes the contact. Each module has a specific function and can be independently configured or removed. This segmentation allows the system to achieve high marketing effectiveness while maintaining flexibility in managing complexity based on specific business needs.
Solution Approach 2:
The patent implements preliminary action by pre-configuring the intelligent marketing matrix with various contact strategies and consumer preferences before actual marketing campaigns. The system pre-analyzes the scraped data to determine the most effective contact method for each consumer segment. This preliminary preparation reduces the complexity of real-time decision-making and enables more effective marketing campaigns.
3Adaptability or versatility
If multiple communication methods are offered to consumers, then consumer engagement is improved, but system complexity increases
Solution Approach 1:
The patent implements a dynamic communication selection mechanism that adapts to each consumer's preferences and behavior patterns. The intelligent marketing matrix module dynamically determines the most appropriate contact method based on the scraped data, consumer history, and engagement likelihood. This dynamic approach allows the system to offer multiple communication methods when beneficial while automatically selecting the optimal single channel when simplicity is preferred, thereby balancing engagement effectiveness with system complexity management.
Data Source
AI summary
Visitors that abandon electronic or computer-generated forms before completing and submitting the form are lost to business entities. Data obtained from abandoned electronic or computer-generated forms is used to identify these lost visitors. Sometimes a unique script embedded on the webpages scrapes the data from the forms. The obtained data is further utilized to market or remarket to the lost consumers by sending personalized messages via a preferred communication medium.