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Michelin, an e2open customer evaluated Oracle Transportation Management

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List of Stackline Shopper OS Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Garden of Life Consumer Packaged Goods 1000 $250M United States Stackline Stackline Shopper OS Customer Data Platform 2024 n/a
In 2024, Garden of Life implemented Stackline Shopper OS as a Customer Data Platform to build a US multi retailer CRM and messaging program focused on shopper engagement and retention. The deployment targeted marketing and CRM functions with an emphasis on direct relationships with retail shoppers across major e commerce retailers. The implementation used the Stackline Shopper OS retail CRM and messaging module set, configured to capture opt ins, orchestrate push messaging campaigns, and manage shopper segmentation and campaign workflows. Stackline Shopper OS was used to centralize shopper profiles and drive messaging orchestration for recurring campaigns, aligning campaign cadence and creative with retail purchase behaviors. Operational coverage explicitly included Amazon, Walmart, and Target retail channels in the United States, implementing multi retailer shopper capture and messaging flows that span product listing interactions to post purchase engagement. The deployment connected retail channel signals into the Shopper OS environment to enable audience building and targeted push campaigns for retention and repeat ordering. Garden of Life reported the implementation captured 280,000 opt ins, delivered 33 percent push open rates and 16 percent order conversion, and produced approximately $11 ROI per messaging campaign. These outcomes were delivered through the Shopper OS retail CRM and messaging capabilities, reflecting campaign level performance for the US marketing and CRM use case.
Olly Consumer Packaged Goods 216 $33M United States Stackline Stackline Shopper OS Customer Data Platform 2024 n/a
In 2024, Olly implemented Stackline Shopper OS, a Customer Data Platform, to centralize multi-retailer transaction attribution for US advertising measurement and media optimization. The deployment leveraged Stackline’s Shopper OS transaction dataset and Stackline’s Multi-Retailer Attribution capability to connect ad exposure signals to purchases across multiple retailer channels. Stackline Shopper OS was configured to ingest transaction-level data and surface attribution linkages between Amazon ad exposure and off-Amazon purchases. Functional capabilities implemented included transaction dataset consolidation, multi-retailer attribution modeling, and reporting for marketing measurement, with workflows oriented toward advertising measurement and media optimization. Operational coverage for the implementation was US marketing and attribution use cases, measuring Amazon ad impact on purchases at Target, Walmart, Kroger and other national retailers. The implementation aligned Stackline Shopper OS transaction data with attribution outputs to support cross-retailer media decisions and campaign measurement. Governance and workflow changes focused on integrating attribution outputs into media planning and optimization loops for the marketing organization. The case study explicitly reports that approximately 48% of attributed sales occurred off Amazon and a 47.7% ROAS lift, outcomes that were derived from Shopper OS transaction and attribution capabilities.
PackIt Communications 30 $2M United States Stackline Stackline Shopper OS Customer Data Platform 2024 n/a
In 2024, PackIt deployed Stackline Shopper OS to execute a U.S. product and marketing research engagement ahead of a baby category product relaunch. The engagement used Stackline Shopper OS within the Customer Data Platform category to survey more than 400 verified baby category purchasers at Target and Walmart to validate packaging concepts and price thresholds prior to relaunch. The implementation centered on Stackline Shopper OS Research and audience modules, leveraging audience recruitment and verification, survey orchestration, concept testing workflows, and price threshold analysis. PackIt configured the Shopper OS audience segments to enable cross-retailer comparison and to capture shopper feedback on packaging and pricing scenarios, aligning research instruments with product positioning objectives. Operational responsibility rested with PackIt product and marketing teams in the United States, using insights from Stackline Shopper OS to inform packaging and pricing decisions for the relaunch. The case study describes the use of Shopper OS research and audience modules as the primary data and audience source for this targeted shopper research and pricing insights engagement.
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FAQ - APPS RUN THE WORLD Stackline Shopper OS Coverage

Stackline Shopper OS is a Customer Data Platform solution from Stackline.

Companies worldwide use Stackline Shopper OS, from small firms to large enterprises across 21+ industries.

Organizations such as Garden of Life, Olly and PackIt are recorded users of Stackline Shopper OS for Customer Data Platform.

Companies using Stackline Shopper OS are most concentrated in Consumer Packaged Goods and Communications, with adoption spanning over 21 industries.

Companies using Stackline Shopper OS are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Stackline Shopper OS across Americas, EMEA, and APAC.

Companies using Stackline Shopper OS range from small businesses with 0-100 employees - 33.33%, to mid-sized firms with 101-1,000 employees - 66.67%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 0%.

Customers of Stackline Shopper OS include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Stackline Shopper OS customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Customer Data Platform.