Our inaugural Quarterly Release is here - Spring '25! We are adopting a seasonal release cadence to give you a more predictable and impactful product experience.
Review the full announcement or read on for a summary of key updates along with more detailed descriptions:
  • Stitch Benchmarking
  • Operational Identities
  • Activation IDs
  • Run Workflow API
  • Complex Types in Source Data Supported
  • Snowflake Outbound Bridge
Stitch Benchmarking
The Stitch Benchmarking UI allows Datagrid Administrators to understand how well Stitch is performing both in a run state and during implementation. It reduces time-to-value by allowing users to quickly configure Stitch and continue to iterate over time. Once Stitch configuration is complete, Datagrid Administrators can understand Stitch performance over time and make configuration changes as needed to maintain a high level of performance.
Operational Identity
Set up rules-based identity resolution that supports broader operational use cases that require stricter matching criteria, like loyalty or clienteling, with precise control over how customer records are matched and merged across your data sources.
Activation IDs
Target and segment customers using the identifier that best fits your needs (e.g., loyalty ID, order ID, or any other unique identifier). This capability delivers more precise audience segmentation and campaign targeting by allowing flexible identity selection tailored to your specific campaign goals, eliminating the need to share comprehensive universal identities for activation when specific identifiers will suffice.
Run Workflow API
Programmatically trigger Amperity workflows including Stitch runs, data orchestrations, and campaigns through a comprehensive API. This capability provides precise control over workflow scheduling and execution, facilitating integration with other enterprise systems such as Databricks, Azure Data Factory, and similar technologies.
Snowflake Bridge - Outbound
Access unified customer data from Amperity directly in your existing Snowflake environment without ETL processes. This native integration uses Secure Data Sharing to make consolidated customer data instantly available in Snowflake, maintaining a single source of truth and building your customer data foundation.
Complex Types in Source Data
Upload your raw, unstructured customer source data- including complex field types like arrays, structs, JSON, or XML- and let our system handle the processing.
Real-Time Tables (Public Preview)
Real-Time Tables let you interact with, and activate on, real-time data as soon as it is sent into Amperity.