Experience System of Record
Watch Brad Rencher, EVP and GM of digital experience at Adobe, walk through the Experience System of Record at Adobe Summit 2018.
The best experiences start with customer data unification.
You have mountains of customer data. And chances are, it's stored across different systems, making it hard to organize customer data and really understand your customers. Tap into Adobe Experience Platform Unified Profile and its unified, complete, and centrally accessible profile — and start delivering the personalized experiences they expect.
Benefits
Understand your customers.
Know your customers' behaviors and attributes when you organize customer data — behavioral, transactional, financial, and operations — together into complete profiles.
Enhance your personalization.
Access profiles from Adobe Experience Cloud and other marketing solutions, and use them to deliver the right experiences to the right people at the right moment.
Get all the data. And all the details.
Customer data unification captures massive amounts of behavioral data but maintains the freedom to attribute that data at granular levels to unlimited first- and third-party data sources.
Recency, not just frequency.
Pull in real-time data so your profile is always up to date and your insights are always relevant.
Adobe Experience Platform Data Science Workspace is in beta today and will be available in 2019.
“Adobe sits at the nexus of content, media, and marketing.”
Adobe Experience Cloud was named a Leader in The Forrester Wave™: Enterprise Marketing Software Suites, Q1 2018. Read the report to see why we stand out for digital intelligence, content handling, and artificial intelligence.
Data Ingestion
Find clarity in the data.
Data is the crucial foundation to building a unified profile. Collect and organize customer information from various enterprise repositories, including CRM, first-party, third-party, e-commerce, offline, loyalty, behavioral, web, email, and social interaction data. Then cleanse and prepare that data for use in building enterprise data models.
Access common data at the edge for near real-time access as well as light computation on and using data available on the edge.
After gaining access to edge data, consolidate all that data into your repository.
Support near real-time data ingestion and updates to stay current on incoming data and insights.
Use APIs and SDKs for CRUD and ad hoc query capabilities.
Use ETL (extract, transform, and load) technologies to activate data ingestion.
Access and Activation
Match individual identities from all data using deterministic and probabilistic algorithms to start building a central profile view of your customers.
Load identity-resolved data assets into a central profile store that’s built to serve the needs for various use cases.
Use real-time segmentation to act on a stream of events that contain behavioral data, removing delays and allowing you to distribute segments by geographies.
Turn data and segments into action, whether that’s through personalization or advertising platforms. Get a consistent view of these customer profiles no matter where they are.
Turn segments from Adobe Analytics into campaign segments that can be used in campaign-creation platforms.
Use data from Adobe Analytics and Adobe Campaign to personalize mobile experiences.
Deliver last-millisecond experiences between a customer’s action and decision.
Real-Time Customer Profile lets you connect with external third-party solutions that you may already be using.
Build. Store. Segment. Act.
A central customer profile is only useful when you start acting on the rich data it contains. With Real-Time Customer Profile, you can match identities, store profiles, segment audiences, and more, so you can turn data into actionable insights. And start building data-driven personalization.
Resources for Experience Platform Unified Profile
डेटा-संचालित मार्केटिंग
अपने ग्राहकों को सही मायने में समझने की दिशा में काम करते हुए अपने डेटा को अपने लिए कारगर बनाने का तरीका जानें.
ग्राहक इंटेलिजेंस
इस बारे में हमारा इनसाइट्स लेख पढ़ें कि आप वास्तविक ग्राहक इंटेलिजेंस के साथ डेटा-संचालित मार्केटिंग में कैसे आगे बढ़ सकते हैं.