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Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

List of Adverity Intelligence Platform Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Carters Retail 15350 $2.8B United States Adverity Adverity Intelligence Platform Marketing Analytics 2020 n/a In 2020, Carters implemented Adverity Intelligence Platform in a marketing/commerce deployment for North America to automate ingestion and harmonization of marketing and ecommerce data. The Adverity Intelligence Platform was configured to centralize data flows from marketing and commerce sources and enable consolidated reporting for campaign spend decisions. Implementation focused on building automated ingestion and harmonization pipelines, metadata-driven data mapping, and standardized data models to support consistent attribution and spend analytics across channels. The platform delivered near real time dashboarding and orchestration of data transformation, reducing the need for manual aggregation and spreadsheet-based reconciliation. Integrations were implemented at the data layer to pull marketing and ecommerce datasets into the Adverity Intelligence Platform, where normalized datasets feed centralized dashboards used by marketing and commerce teams. Operational scope covered marketing and ecommerce functions across North America, enabling campaign level and regional reporting to be consumed by campaign managers and analytics teams. Governance changes emphasized automated data quality rules and a shift in analyst responsibilities away from manual report production toward higher-value analysis and prescriptive optimization. The automation drastically reduced manual reporting effort, freed analysts for more strategic work, and made campaign and regional optimisation faster and more prescriptive.
Ikea Mobelvertrieb Ohg Retail 1850 $500M Austria Adverity Adverity Intelligence Platform Marketing Analytics 2019 n/a In 2019, Ikea Mobelvertrieb Ohg deployed Adverity Intelligence Platform in a marketing/analytics implementation to centralize and automate marketing and customer behaviour data feeding Power BI. The Adverity Intelligence Platform functioned as a centralized data orchestration and ingestion layer for IKEA Austria, consolidating granular ad and loyalty program datasets to support EMEA marketing and analytics teams and accelerate access to campaign and loyalty insights. The implementation was completed in two weeks and delivered 20 new connectors, removing spreadsheet based processes and improving cross team data accessibility. Configuration focused on connector management, data normalization, scheduling and automated refresh workflows, with direct integration into Power BI to enable marketing and analytics functions to consume unified datasets and support faster decision making.
Vodafone Germany Communications 16000 $12.6B Germany Adverity Adverity Intelligence Platform Marketing Analytics 2020 n/a In 2020, Vodafone Germany deployed the Adverity Intelligence Platform as part of Project Neuron to build a centralized marketing data lake, marketing/analytics, across EMEA for its marketing and analytics teams. Vodafone Germany implemented the Adverity Intelligence Platform to consolidate fragmented marketing data and establish a single source of truth for campaign measurement and reporting. The implementation configured automated ingestion and ETL-style orchestration from more than 20 martech silos into a centralized data model, using Adverity Intelligence Platform capabilities for connector management, data mapping, normalization, and scheduled refresh. The platform was used to standardize schemas and catalog marketing datasets, enabling downstream BI consumption and analytics-ready data sets. Integrations were explicitly implemented to route consolidated datasets to AWS for storage and to enterprise BI tools for reporting and visualization, creating an end-to-end pipeline from martech sources to AWS and BI tools. Operational coverage focused on marketing and analytics functions across Vodafone Germany in the EMEA region, centralizing data workflows that were previously dispersed across multiple teams. Governance changes included centralized data ownership, standardized workflows for data quality checks, and operational handoffs between marketing analytics and BI teams under Project Neuron. The project delivered the stated outcomes within months of operation, cutting manual data work by approximately 20 percent, increasing data quality by approximately 80 percent, and improving return on marketing investment by approximately 8 percent.
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