Adobe Customer Journey Analytics B2B Edition Features

B2B data flexibility

Analyse multilayered B2B customer journey data using a flexible data framework that delivers comprehensive insights to enhance buyer experiences and drive pipeline growth.

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Multilevel B2B data analysis

Leverage a purpose-built data framework that supports both person- and account-based data to get comprehensive analysis and visualisations of each journey and their impact on sales.

Multilayered data. Analyse customer journey data at the individual, buying group, account and opportunity level.
Modernised framework. Get flexible schemas and modern data structures designed for advanced, on-demand management of B2B customer journey data.
Scalable structure. Harness highly-compressible database technology to execute complex data queries quickly, letting you retrieve results from multiple data sources without customised logic.

Buying group chart showing engaged and qualified activities

Historical data trends report by opportunity stage

On-demand data handling

Reduce IT queues and accelerate report processing speeds with self-serve capabilities that use enhanced data views and empower teams to swiftly adjust reporting to address key business questions.

Unlimited queries. Pre-aggregate, connect and execute unlimited queries and real-time processing on customer data to get insights in seconds.
Long-term historical analysis. Analyse historical data to power highly accurate metrics and performance optimisation.
Derived fields. Transform data and adapt your analyses on the fly with this feature that lets you make changes, redefine metrics or dimensions, fix errors and improve data accuracy — both retroactively and going forward — without harming the original data.
Report time processing. Expedite report processing speeds with self-serve capabilities that enable teams to explore and immediately adapt reporting to answer business questions.
Data views. Empower analysts to quickly and easily adapt their data view for specific and precise interpretations — while preserving the underlying dataset.

Unified B2B customer data

Connect buyer data — both online and off-line — across channels, devices and time for comprehensive analysis and insights throughout the customer journey.

Data collection. Use native data collection or open, modern APIs for large-scale data streaming and computing.
Data sources. Integrate data from your CRM or any enterprise data source for enriched dimensional analysis.
B2B account stitching (coming soon). Connect people, accounts and interactions across channels and systems, both in near real-time and retroactively, to power more precise targeting, richer account insights and higher-converting experiences. This helps to ensure Customer Journey Analytics B2B Edition can enable revenue teams to view and act on the full account story.

Wi-Fi website with chart showing engaged touchpoints

Buying group graph showing deal size and engagement scores

Multiple dimension columns

Examine qualitative data with quantitative metrics in a single customised table view that lets teams list advanced account dimensions — such as industry, company size and opportunity status — as simple columns instead of complex row breakdowns.

Adobe Experience Platform Data Mirror

Tap into data mirroring capabilities to power seamless data synchronisation between your organisation’s data warehouse and Customer Journey Analytics B2B Edition. Use this to access the most up to date and comprehensive account and customer data.

Warehouse support. Sync with data warehouses such as Snowflake, Google BigQuery and Databricks.
Data accuracy. Keep Customer Journey Analytics B2B Edition in sync with your data warehouse, including any updates, data insertions or deletions.
Automation configurations. Sync data automatically to eliminate manual updates or data transformations, reducing the risk of human error and saving time.
Full journey visibility. Unify off-line and digital behavioural data across individual, buying group and account levels for a holistic view of the buying journey.

Cloud software mobile app syncing with data warehouses

Comprehensive data governance framework

Employ an extensible, patented data governance framework that provides comprehensive controls for establishing and maintaining compliance with your company's data governance policies — all while meeting customer expectations for privacy and personalisation.

Labelling and cataloguing. Develop, manage and enforce data usage policies using data labelling and catalog features and customisable, out-of-the-box templates.
Permissions. Establish and enforce detailed, role-based permissions and data access for team members, empowering collaboration without compromising data responsibility.
Alerts and policies. Prevent users from activating sensitive data by setting up clear policies and labels. In-product alerts can also notify administrators of any attempted policy breaches.