Web Visitor Behavior Scoring for Sales Prospect Qualification

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

E-commerce websites face challenges in effectively qualifying sales prospects based on visitor behavior analysis, as existing methods lack comprehensive and efficient tools to track and analyze visitor interactions before and after conversion events.

Innovation Solution

A system utilizing program code executed on a server to monitor time spent on web pages, calculate a numeric web behavior qualification score by multiplying page weights with visit durations, and store data in log files for prospect qualification.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If comprehensive visitor behavior tracking is implemented to improve prospect qualification accuracy, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improveprospect qualification accuracyVSAvoidtracking system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The tracking system is segmented into multiple independent components: page view tracking, form submission tracking, time spent calculation, and score generation. Each component handles a specific aspect of visitor behavior analysis, making the overall system more manageable and less complex while maintaining comprehensive tracking capabilities

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

A server acts as an intermediary between the website and the analysis system. The server collects raw visitor data, processes it through standardized procedures, and generates qualification scores. This intermediary layer simplifies the architecture by centralizing complex processing logic and providing a clean interface for data collection and score delivery

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of information

If detailed visitor behavior data is collected before and after conversion events, then information completeness is improved, but loss of time increases

Engineering Contradiction:
Improvevisitor behavior data completenessVSAvoiddata processing time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The system performs preliminary tracking of visitor behavior from the moment they arrive at the website, continuously collecting data on pages viewed, time spent, and navigation patterns. This preliminary action ensures that when a conversion event occurs, all necessary pre-conversion data is already captured and ready for immediate analysis, eliminating delays in data collection

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The tracking system operates continuously throughout the visitor's session, maintaining uninterrupted data collection both before and after conversion events. This continuous tracking ensures complete information capture without requiring separate data collection phases, thereby reducing overall processing time while maintaining data completeness

Inventive Principle:
Principle #20Continuity of useful action

3Productivity

If manual analysis of visitor behavior is used to maintain simplicity, then device complexity is reduced, but productivity decreases

Engineering Contradiction:
Improveprospect qualification efficiencyVSAvoidautomation system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system is designed to automatically calculate qualification scores by self-service processing of visitor behavior data. The server autonomously collects tracking information, applies weighting factors to different behaviors, computes scores, and delivers results without requiring manual intervention. This automation dramatically improves productivity while keeping the interface simple for users

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system uses parameter changes in the form of weighting factors assigned to different visitor behaviors (e.g., time spent on pages, form submissions, navigation patterns). By automatically adjusting and applying these parameters to visitor data, the system efficiently generates qualification scores without manual analysis, improving productivity while maintaining manageable complexity through standardized parameter sets

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS7698420B2Consolidating web visitor behavior statistics for sales prospect qualification
Publication Date: 2010.04.13 MESSAGEONE LLC
  • US7698420B2 patent drawing
  • US7698420B2 patent drawing
  • US7698420B2 patent drawing

AI summary

A web data analysis system, computer software product, and method of operation thereof, that uses Internet based data sources, and which operates in an automated manner to collect weighted visitor behavior statistics, and consolidate collected data into a single qualification score to accompany and supplement the entry of web site visitor information for printing, distribution or entry into a sales, prospect or contact management system.