Step 01: Data Collection - Customer Data Inventory & Analysis
In this initial step, Autowoven collaborates with systems and departments within the organization to collect both real-time/streaming data and batch data. They ensure that the CDP captures a wide range of data from various sources, including web, mobile, and cloud applications. Real-time clickstream data is collected using tools like Adobe Launch or other tag management systems. Additionally, Autowoven assists in gathering batch data from enterprise resource planning (ERP), customer relationship management (CRM), and extract, transform, load (ETL) ecosystems.
Step 02: Data Lake Ingestion - Data Prep and Ingestion into Adobe CDP Data Lake
Data integrity is crucial for effective customer data management. Autowoven's Solution Architects work closely with businesses to validate and prepare data to meet the requirements of the Adobe Experience Platform (AEP). This involves creating necessary data mappings and injection processes. Autowoven helps organizations:
Create Experience Data Model (XDM) schemas, which define the structure and semantics of data.
Identify and create datasets within the CDP to organize and manage data effectively.
Develop a real-time customer profile that captures comprehensive customer information.
Perform batch and streaming data ingestion using the AEP Software Development Kit (SDK).
Build and develop query services to access and analyze the collected data.
Monitor data ingestion flows in real-time to ensure data is ingested accurately and efficiently.
By following this 6-step implementation plan, Autowoven aims to maximize the value of the CDP for businesses. The plan ensures comprehensive data collection, accurate data ingestion, and proper data preparation, setting the foundation for organizations to leverage the power of their CDP and enhance their customer data management strategies.
Single Customer Profile & Services: Consolidating Customer Data for Actionable Insights
A critical component of effective customer data management is the consolidation of customer profiles into a single, comprehensive view. Autowoven specializes in managing customer profiles within the Adobe Experience Platform (AEP) using the Customer Profile Management (CPM) module. This module enables businesses to create and manage individual customer profiles, providing a unified and holistic understanding of their customers.
To ensure accurate and complete customer profile management, Autowoven assists businesses in defining rules for data collection and segmentation. This involves establishing guidelines for capturing relevant customer data across multiple touchpoints and organizing it in a structured manner within the single customer profile. Autowoven also leverages AEP's robust set of APIs to enable real-time data synchronization with other systems, ensuring that customer profiles remain up to date and consistent across various platforms.
Data governance and privacy are key considerations in customer profile management. Autowoven helps businesses utilize AEP's data governance and privacy features to ensure responsible handling of customer data, maintaining compliance with relevant regulations and protecting customer privacy.
Once the single customer profile is developed and consolidated, Autowoven goes beyond profile management to develop a range of services around the customer profile. These services enhance the value and utility of the customer profile by providing actionable insights and personalized experiences. Some of the services Autowoven offers include:
Custom Queries using Query Service API: Autowoven develops custom queries that enable businesses to extract specific information from the customer profile. This allows for deeper analysis, segmentation, and targeting based on specific criteria and business needs.
Scheduled Queries: Autowoven sets up scheduled queries to automate data extraction and analysis from the customer profile. This ensures that businesses have timely access to relevant insights and can make informed decisions based on up-to-date information.
Integration with BI Tools: Autowoven integrates the customer profile data with business intelligence (BI) tools of choice. This integration allows businesses to leverage powerful visualization and reporting capabilities, creating interactive dashboards that provide meaningful insights and facilitate data-driven decision-making.
Moving beyond customer profile management, Autowoven enables businesses to take action on the intelligence gathered within AEP through Adobe Campaign or Marketo. By leveraging the customer profile data, Autowoven develops segmentation and targeting rules that help marketers personalize messages at scale. This includes designing custom campaign workflows that ensure the right message reaches the right audience through appropriate channels.
In addition to integration with Adobe Campaign or Marketo, Autowoven offers integration services with email delivery platforms, enabling seamless communication with customers. For businesses seeking a comprehensive end-to-end solution, Autowoven also facilitates integration with Adobe Journey Optimizer, allowing for advanced customer journey mapping and optimization.
By evaluating customer data and looking for ways to enhance the customer experience, Adobe Journey Optimizer, a component of Adobe Experience Platform (AEP), enables organizations to optimize the customer journey. In order to better understand patterns and trends in consumer behavior, Journey Optimizer combines machine learning and predictive analytics. It then makes suggestions for focused interventions.
The exact conditions of the license agreement will determine whether or not Journey Optimizer is included with an AEP license. Any licensing agreement's terms should be thoroughly read in order to comprehend the features and functionalities that are offered with the product. It's also crucial to keep in mind that extra charges can be necessary even if a feature or service is included in the base AEP license. For a free examination of your unique needs, contact us today.
AEP RT-CDP gathers a variety of consumer data, such as transactional data, behavioral data, and demographic data. It can gather information from many sources, including:
Web-based programs
mobile applications
CRM programs
EHR programs
marketing channels