List of Polar Analytics Customers
Polar Analytics
15 Rue Raynouard,,
Paris, 75016,
France
Paris, 75016,
France
n/a
Professional Services
50
$5M
Since 2010, our global team of researchers has been studying Polar Analytics customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Polar Analytics for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Polar Analytics for Analytics and BI include: La Martina, a Argentina based Retail organisation with 350 employees and revenues of $120.0 million, Quad Lock, a Australia based Retail organisation with 120 employees and revenues of $65.0 million, Tiege Hanley, a United States based Consumer Packaged Goods organisation with 150 employees and revenues of $40.0 million, Thorlo, a United States based Consumer Packaged Goods organisation with 250 employees and revenues of $35.0 million, Frankie4, a Australia based Retail organisation with 200 employees and revenues of $30.0 million and many others.
Contact us if you need a completed and verified list of companies using Polar Analytics, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Polar Analytics customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Almond Cow | Retail | 30 | $4M | United States | Polar Analytics | Polar Analytics | Analytics and BI | 2023 | n/a |
In 2023, Almond Cow deployed Polar Analytics on its website to introduce a cloud analytics layer for e-commerce performance monitoring. Polar Analytics is used as an Analytics and BI application to consolidate site-level events into dashboards and KPI views that surface revenue, conversion funnel, and customer lifecycle metrics. The implementation leverages embedded website instrumentation alongside a SaaS hosted data model to deliver consolidated analytics to business users.
Configuration emphasized pre-built dashboards, KPI modeling and scheduled reporting workflows consistent with Analytics and BI practices, with the data model tuned to Almond Cow reporting needs. Operational ownership is concentrated in growth and operations teams, who use Polar Analytics dashboards for weekly performance reviews and cross-functional planning with finance and marketing. Governance focused on a centralized dashboard catalog and role-based access controls to maintain consistent metric definitions and reporting cadence.
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Antipodes New Zealand | Retail | 50 | $5M | New Zealand | Polar Analytics | Polar Analytics | Analytics and BI | 2024 | n/a |
In 2024 Antipodes New Zealand deployed Polar Analytics on its public website, implementing Polar Analytics for Analytics and BI to centralize on-site measurement and reporting. The deployment was sized for a 50-person retail organization and provisioned embedded dashboards and role-based access targeted at marketing and e-commerce staff.
Configuration emphasized dashboard creation, scheduled reporting, data normalization and funnel visualization, reflecting standard Analytics and BI functional modules used to monitor sessions, conversions and revenue flows. Governance was organized around role-based access and a regular reporting cadence to align marketing and sales workflows, with the Polar Analytics implementation acting as the primary analytics layer on the Antipodes New Zealand website.
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Aquor Water Systems | Manufacturing | 20 | $2M | United States | Polar Analytics | Polar Analytics | Analytics and BI | 2023 | n/a |
In 2023, Aquor Water Systems deployed Polar Analytics on their website to establish an Analytics and BI capability for web-based instrumentation and reporting. The deployment targets web analytics, dashboarding, and consolidated reporting to support sales and marketing decision making for the 20-person manufacturing firm. Polar Analytics is configured to capture event-level website interactions and surface prebuilt dashboards for customer behavior and funnel analysis.
Implementation architecture centers on a browser-based measurement snippet embedded in the Aquor Water Systems website that feeds Polar Analytics for near real time visualization and scheduled report delivery, consistent with Analytics and BI application patterns. Functional modules implemented include interactive dashboards, scheduled reporting workflows, and data modeling layers to align site telemetry with business context. Operational scope is company level with primary consumption by marketing and sales and administrative control assigned to a single analytics owner.
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Atoms | Retail | 30 | $15M | United States | Polar Analytics | Polar Analytics | Analytics and BI | 2025 | n/a |
In 2025, Atoms deployed Polar Analytics on their website as a cloud analytics instance to centralize web event capture and e‑commerce reporting. The implementation uses Polar Analytics within the Analytics and BI category to provide a unified view of site-level transactions, product performance, and customer segments for the retailer Atoms.
The deployment focused on core Analytics and BI capabilities, including configurable dashboards, cohort and segment reporting, time series revenue views, and product-level performance panels. Implementation work centered on site instrumentation and event collection, dashboard configuration for marketing and e‑commerce workflows, and role-based access controls to govern who can view and edit analytical artifacts. Operational ownership sits with the e‑commerce and marketing functions, with finance consuming consolidated revenue reports, and the rollout followed a phased approach from instrumentation to dashboarding and user training.
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Bajío Sunglasses | Retail | 25 | $8M | United States | Polar Analytics | Polar Analytics | Analytics and BI | 2024 | n/a |
In 2024, Bajío Sunglasses implemented Polar Analytics, adopting a cloud analytics platform in the Analytics and BI category to centralize website metrics. The implementation focused on capturing storefront performance and customer interaction data directly from their website and surfacing it through unified dashboards.
Polar Analytics was configured to provide core Analytics and BI capabilities including consolidated dashboards, segmentation, attribution style reporting, and scheduled data refreshes to support operational decision making. Configuration emphasized lightweight data modeling and vendor hosted processing to keep operational overhead low for the 25 person retailer. The implementation prioritized out of the box visualizations and automated refresh cycles to shorten time to insight for nontechnical users.
Integrations were scoped to the website data stream, with Polar Analytics ingesting event and transactional signals from the storefront to support e-commerce and marketing reporting. The deployment covers marketing, online merchandising, and sales operations, with dashboards consumed by product, marketing, and leadership teams. Operational coverage remains focused on the online channel as the primary data source.
Governance was implemented through role based access control to dashboards and a lightweight review cadence tied to marketing campaigns and inventory decision points. Bajío Sunglasses uses Polar Analytics in the Analytics and BI category to support e-commerce and marketing reporting across the organization.
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Retail | 15 | $4M | France | Polar Analytics | Polar Analytics | Analytics and BI | 2025 | n/a |
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Retail | 30 | $3M | United States | Polar Analytics | Polar Analytics | Analytics and BI | 2023 | n/a |
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Retail | 51 | $5M | Australia | Polar Analytics | Polar Analytics | Analytics and BI | 2025 | n/a |
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Retail | 200 | $30M | Australia | Polar Analytics | Polar Analytics | Analytics and BI | 2025 | n/a |
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Consumer Packaged Goods | 30 | $5M | United Kingdom | Polar Analytics | Polar Analytics | Analytics and BI | 2025 | n/a |
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Polar Analytics Coverage
Polar Analytics is a Analytics and BI solution from Polar Analytics.
Companies worldwide use Polar Analytics, from small firms to large enterprises across 21+ industries.
Organizations such as La Martina, Quad Lock, Tiege Hanley, Thorlo and Frankie4 are recorded users of
Polar Analytics for Analytics and BI.
Companies using Polar Analytics are most concentrated in Retail and Consumer Packaged Goods, with adoption spanning over 21 industries.
Companies using Polar Analytics are most concentrated in Argentina, Australia and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Polar Analytics across Americas, EMEA, and APAC.
Companies using Polar Analytics range from small businesses with 0-100 employees - 72.41%, to mid-sized firms with 101-1,000 employees - 27.59%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 0%.
Customers of Polar Analytics 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 Polar Analytics customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Analytics and BI.