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v3.12

Release Date: November 25, 2025

UI/UX Enhancements

Improvements and Fixes
  • Resend activation emails and password resets bug fix
  • Add support for new token type S3
  • Cohort Builder email threshold moved to 300 matched emails

Pass_by (CA0060): foot traffic data launched to the Platform

We're pleased to announce the launch of our Food Traffic dataset (CA0060) in Block and Aggregated. This data asset is powered by pass_by which delivers modeled foot-traffic insights for retail locations using mobile location signals from over 200 million devices. These signals are clustered and matched to specific points of interest, then validated against a network of 250,000 in-store traffic counters. The data asset is further normalized for factors such as seasonality, weather, and holidays, resulting in accurate, de-noised measures of consumer visitation across geographies and brands

TikTok Shop Ecommerce (CA0045B):

We're pleased to announce the Block launch of our TikTok Shop dataset (CA0045B). This data asset provides global, category-wide coverage of all products sold on TikTok Shop, paired with analytics on the video content driving those sales. Raw data is collected through large-scale scraping to derive daily units sold and revenue, then enhanced through modeling to attribute sales by channel, including pre-recorded video, livestream, and the TikTok Shop mall, as well as down to individual videos.

Datos - Clickstream (CA0030): block data updated

The Clickstream Block deliverable now includes more columns such as query, click path, and time of visit to allow for deeper analysis.

Library SDK Updates: Tearsheets and Dictionary information functions

Expanded Python SDK support now allows developers to retrieve Library metadata, including tearsheets and data dictionary details for data assets listed in the platform.

The new functions include:

datasets = ca.data.get_datasets() #fetch full tearsheet information
datasets

ca0056 = ca.data.get_data_dictionary("CA0056") #fetch the data dictionaries for a given dataset ID
print(ca0056)

ca.data.get_data_dictionary(dataset_id="CA0028", entity_topic_id=145) #fetch the data dictionaries for a given topic ID

datasets_info = ca.data.get_dataset_information("CA0056") #fetch all dataset information available for a specific dataset ID only
datasets_info