ClickFox Turns Customer Metrics Into Usable Enterprise Data
The behavior recognition engine enables enterprises to analyze incoming data from any customer interaction (Internet, in-store, telephone, CRM) and provide tracking of each customer's path in order to improve customer experience in general.Data analytics provider ClickFox on June 4 released a new version of its Pulse Customer Experience Analytics platform that it claims is easier and more intuitive to use for line-of-business employees.
CEA Version 6.4 of the Atlanta-based company's customer behavior recognition engine enables enterprises to analyze incoming data from any customer interaction (Internet, in-store, telephone, CRM, etc.) and provide tracking of each customer's path in order to improve customer experience in general.
ClickFox claims that this new visualization tool allows enterprise users to identify root causes of customer behavior -- without needing to call in a data scientist -- in 25 percent of the time typically spent identifying similar trends across multiple departments.
The value from the software is that executives can use it to see a true picture of the complete customer experience -- from the contact center to the retail store.
Using Version 6.4 of the CEA platform, ClickFox Pulse provides customized business summary views that visually display customer experience activities and identifies changes in key performance metrics across multiple channels.
Users can monitor and track the metrics that are most important to their role or business, troubleshoot problems and predict customer behaviors using Net Promoter Score integration. These insights enable organizations to make better business decisions with knowledge that would normally remain segmented in disparate departments including finance, marketing, product development, and customer service, Gossman said.
Some of the key use cases for each view on the Pulse dashboard include the following:
- Percentage change in customers performing an activity: Marketers, IT and leadership teams can identify unique customer behaviors, maximize their profitability or quickly resolve a common negative customer experience on the first interaction.
- Volume of customers performing an activity: The volume directly impacts the organization's resources needed to mitigate inbound customer inquiries as sales increase.
- Financial impacts of the business driver: Remedying negative experiences increases long-term revenue and decreases customer service spends.
New features in CEA 6.4 include:
- Faster data consumption: the speed to realize business value from analytics is unmatched.
- Ability to predict when customers may be heading down a negative or undesirable path.
- Anomaly detection: What unique attributes are common with the dominant customer experience paths (such as products/services, call centers or agent skill groups, geographic regions or tenure of customer).
- Comparison of business outcome trends across two periods of time or between two customer segments within a single period of time.
- Compare unique timelines of the customer experience enabling analysis of predictive customer behavior and identification of anomalies.