Full Story

"Analyze, optimize, and understand user behavior."

This company provides tools to watch and analyze what users do on a website or app in real-time. By tracking this behavior, businesses can understand user sentiment, identify friction points, and ultimately improve user experiences, leading to higher engagement and conversions.
Full Story Stated Claims
These are public claims Blurbs AI believes to have been made by Full Story.
Real-time session replays
FullStory claims that its platform allows users to watch a real-time capture of hundreds of signals to gain a comprehensive understanding of customers and enhance their experience.
AI-ready data models
FullStory claims that its platform enables users to build predictive models and train AI with behavioral data synced to their data warehouse.
User behavior insights
FullStory claims that its platform provides analyzed user behavioral data and enables users to take action based on these insights.
BEHAVIORAL DATA ANALYTICS
REAL-TIME USER INSIGHTS
CUSTOMER EXPERIENCE OPTIMIZATION
PRODUCT ANALYTICS
MOBILE ANALYTICS
SESSION REPLAY
PREDICTIVE AI MODELS
ECOMMERCE & RETAIL SOLUTIONS
USER SENTIMENT ANALYSIS
BlurbSTAR Case Study
Papa John’s & Fullstory & Google Cloud
Papa John’s enhances online ordering via precise data analytics.
30%
Reduction in cart abandonment rates after implementing data-driven changes.
45%
Increase in customer satisfaction due to optimized digital experience.
1.
Situation
Papa John's, a well-known brand in the food and beverage industry, sought to elevate their online customer experience. The aim was to ensure that their ordering platform was not only user-friendly but also optimized for performance. To achieve this, Papa John’s collaborated with Fullstory and Google Cloud.
2.
Task
Papa John’s needed to identify and address critical friction points in their online ordering system to create a seamless user experience. The task was to collect and analyze customer interaction data on their website and mobile app effectively.
3.
Action
Papa John's employed Fullstory's behavioral data platform and analytics tools. This allowed them to gain insights into customer behaviors and identify pain points. They also utilized Google Cloud services, including Cloud SQL, BigQuery, and Kubernetes Engine, to streamline data processing and enhance infrastructure efficiency. Furthermore, Google Maps Platform was used to optimize delivery mapping, ensuring timely and precise deliveries.
4.
Result
The partnership led to significant improvements in customer experience. The data analytics revealed critical areas for optimization, reducing cart abandonment rates and making the online platform more intuitive. As a result, Papa John’s streamlined its user journey, increased customer satisfaction, and enhanced overall efficiency. The innovative 'completeness score' developed by Papa John’s tracked the depth of customer insights, facilitating continuous improvement.
Keywords
PAPA JOHN’S
FULLSTORY
GOOGLE CLOUD
BEHAVIORAL DATA
ONLINE ORDERING
CUSTOMER EXPERIENCE
DATA ANALYTICS
CLOUD SQL
BIGQUERY
KUBERNETES
DELIVERY OPTIMIZATION
Full Story
Website