Solutions

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Technology

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How do we help you find and
drive the ideal customer experience?

The inability of traditional analytics and data tools to deliver complete visibility and understanding of customer behavior across channels makes it nearly impossible to get a true representation of how and why customers behave they way they do. ClickFox's unique technology solution takes your existing multiple, disparate analytics platforms and combines them into a unified, cross-channel, customer experience analytics framework.


Behavioral Data Fusion - Our patented technology takes relevant structured and unstructured information from all native system logs and other data sources at regular intervals you determine. During the gathering phase, ClickFox CEA graphically reconstructs the original customer sessions, creating a robust interactions repository -- the foundation for our analytics process used to create a visual blueprint of customer behavior, including cross-channel and cross-business flow traversals. Think of a map of a city showing all the roads and streets you drove through, daily, weekly, monthly, revealing where you went and what you do on each trip.

ClickFox CEA Traffic Analysis - Once the traversal model is created, you gain a visual view of how customers are really moving through your systems. The model is populated continuously and as quickly as the data is available, showing actual behaviors within individual experiences, such as time spent before, after and between steps.

ClickFox CEA Task Analysis - You can examine scenarios like dominant paths, unique traversals, drop-off points and next-step activity, to combine the users' accomplishments within and across the interactive touch points. This analysis provides insights into customer behaviors and the impact they have on operational outcomes.

Pattern Analysis - ClickFox delivers a series of patented technologies and processes that automate behavioral pattern analysis, constantly evaluating both current and past behavior. Common patterns are identified, tagged, labeled, categorized and studied to determine how certain patterns affect each business driver negatively or positively.

ClickFox CEA Artificial Intelligence (AI) Recommendations Engine - Identifies discrepancies between system designs and experiences and how different customer segments actually interact with these systems. The output: Recommended new, modified or simplified paths to get customers through your processes more effectively and efficiently.

Business Analysis Views - Analytical data captured in traffic and task analysis along with AI Recommendations Engine analysis can be used to populate high-level trending dashboards. These highly customizable views ensure you have the ability to look at the data that really matters, keeping track of key performance indicators, essential business flows, self-service completion rates, customer segmentation behavior and more.