Apigee Insights Increase marketing effectiveness and customer satisfaction with API-driven adaptive apps

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1 White provides GRASP-powered big data predictive analytics that increases marketing effectiveness and customer satisfaction with API-driven adaptive apps that anticipate, learn, and adapt to deliver contextual, individualized interactions The Digital Value Chain With adaptive apps built using Insights, enterprises can precisely target each customer, offer them individualized recommendations, and proactively serve their needs on any channel. By anticipating and adapting to each customer, adaptive apps always deliver fresh, relevant experiences that delight customers and accelerate business growth.

2 Realize tangible business results Leading enterprises in healthcare, telecom, retail, and other verticals have realized significant benefits with Insights. 50% reduction in customer churn (healthcare payer) 100% increase in revenue and profit with individualized recommendations (shopping site) 20% increase in profit with individualized offers (online services company) The Need for Adaptive Apps The shift to digital has greatly expanded the number of channels used by customers. This unprecedented growth in digital interactions from connected customers is fueling the rise of big data. Customers experience a journey comprised of a sequence of interactions that span channels and devices, and expect every interaction to be easy, relevant, tailored to their needs, and available on the device closest at hand. Unfortunately, traditional approaches - treating customers and interactions in isolation, targeting a few large segments, relying on siloed analytics simply aren t sufficient to meet increasing customer expectations. Instead, enterprises need to understand each customer s journey, capture real-time intent and context such as weather or location, and anticipate their likely future actions. Only then can enterprises deliver contextual, individualized experiences that delight customers and accelerate profitable growth. Product Details Insights enables enterprises to find hidden patterns in customer behavior, anticipate each customer s likely next action, and make every interaction count with GRASP (Graph and Sequence Processing), Predictive Customer Journey Analytics, and Adaptive Interactions. enables contextual, individualized interactions User Segmentation & Profilling Adaptive Interactions Real Time Scores RESTful APIs A P I API Team Predictive Customer Journey Analytics Apps Customer Journey Analytics Unstructured Data Processor Predictive Modeling Data Scientist GRASP (Graph and Sequence Processing) Developer Time-sequenced Graph Database Data Management Data Loaders Hadoop

3 GRASP enables you to find hidden patterns in customer behavior with unique time-sequenced graph analysis. Data Loaders load data from Hadoop based data lakes, Apigee Edge, Amazon S3, and data warehouses into GRASP. Data Management simplifies the understanding, transformation, and management of data to be analyzed by GRASP. The Time-sequenced Graph Database analyzes entity and event data typical of digital interactions and finds hidden signals. Predictive Customer Journey Analytics enables you to anticipate each customer s likely next action by analyzing all interactions along the customer journey and include the current context such as location, weather, or time of day. Customer Journey Analytics enables data analysts to visualize the customer journeys modeled in GRASP, discover and profile common interaction paths, and optimize the journey. Predictive Modeling anticipates each customer s needs by enabling data scientists to build predictive models on GRASP using the R programming language. The Unstructured Data Processor further improves prediction accuracy by extracting signals hidden in text interactions. Adaptive Interactions enables you to realize value from data by solving the last mile problem of integrating predictive analytics into apps. With Adaptive Interactions, you can make every interaction count by adapting the behavior of apps in real time. Segmentation and Profiling improves targeting effectiveness by creating and profiling predictive segments, and integrating them into marketing campaigns. Real-time Scores lay the foundation to provide scalable, real time access to individualized and contextual predictive scores. RESTful APIs empower developers to use predictive insights to adapt the behavior of apps.

4 : Key Features GRASP (Graph and Sequence Processing) Feature Benefit Time-sequenced Graph Database Path Analysis Profile Cross Tabulation Graph Query Language Efficiently aggregate information along customer journey paths Efficiently aggregate information across GRASP Simplify analysis of customer events Data Management Data Import Data Browser Path Views Transformations Administration Import data into GRASP using either a visual interface or command line Understand the imported data, and view statistics about each imported dataset Merge different data sets to enable analysis Transform data prior to analysis View status of various jobs submitted Data Loaders Edge Connector Hadoop Connector Amazon S3 Connector Data Warehouse Connector Load API data from Apigee Edge into GRASP Load data from Hadoop based data lakes into GRASP Load data from Amazon S3 into GRASP Load data from data warehouses into GRASP

5 Predictive Customer Journey Analytics Feature Benefit Customer Journey Analytics Journey Visualization Journey Query Journey Profiling Visualize and traverse multiple customer journeys, roll forward or backward Query multiple customer journeys Understand customer distribution along one or more attributes Unstructured Data Processor Keyword Extraction Sentiment Analysis Extract relevant keywords from text Determine customer sentiment Predictive Modeling R SDK Event and Profile Based Models Profile based models Enable data scientists to build predictive models using R Predict likelihood of future actions based on customer events and profiles Predict likelihood of future actions based on customer profiles

6 Adaptive Interactions Feature Benefit Segmentation and Profiling Segment Creation Attribute based Segment Creation Journey based Segment Profiling Segment Export Scheduling Create segments using descriptive, behavioral, and predictive attributes Create segments based on a customer journey Understand customer distribution by one or more attributes Integrate segments into external campaigns Manage the frequency and timing of populating a segment Real Time Scores Individual Scores Contextual Scores Scores Adjustment Scalable, real time access to predictive scores per user independent of context Scalable, real time access to predictive scores per user and context Refine scores based on recent events RESTful APIs Segments API Query API Scores API Access list of customers matching predictive segment definition Retrieve paths in the customer journey Return predictive scores in real time to adapt app behavior Data Science Services Insights is complemented by data science services. Apigee data scientists, experienced in the world of predictive analytics, Big Data, and APIs, can help your internal efforts and accelerate your strategy from planning to predictive insights to results. Licensing and Deployment Insights is available for both cloud and on-premises deployments and is licensed in a 3 node configuration.