Perth, 6000, WA,
Australia
Catch Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Catch and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 650 Catch employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Catch has purchased the following applications: Stripe Payments for Payment Processing in 2015, Workable ATS for Applicant Tracking System in 2020, Sift Science Digital Trust Platform for ML and Data Science Platforms in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Catch is running and its propensity to invest more and deepen its relationship with Stripe , Workable , Sift Science or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Catch revenues, which have grown to $70.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Catch intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Stripe | Legacy | Stripe Payments | Payment Processing | ERP Financial Management | n/a | 2015 | 2015 |
In 2015, Catch implemented Stripe Payments on its website to provide a centralized online payment acceptance and checkout processing layer. Catch implemented Stripe Payments as its Payment Processing engine for ecommerce checkout and finance operations, integrating the vendor's tokenization and hosted payment components into the web storefront.
The implementation focused on standard Payment Processing capabilities, including card acceptance, digital wallet support, tokenization to reduce PCI scope, and configuration of native fraud controls and dispute handling workflows. Stripe Payments was configured to support transaction routing and settlement into Catch merchant accounts, and to surface payment event data for reconciliation and billing processes.
Operationally the Stripe Payments deployment is scoped to Catch's ecommerce channel in Australia, supporting the online sales function and downstream finance and operations teams. Governance and process changes centered on merchant onboarding, payment reconciliation procedures, dispute case workflows, and operational ownership by the payments and finance stakeholders.
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Workable | Legacy | Workable ATS | Applicant Tracking System | HCM | n/a | 2020 | 2020 |
In 2020, Catch implemented Workable ATS to manage its recruiting processes and candidate lifecycle. Using Workable on their website, Catch powered the public careers page and embedded job posting flows directly on catch.com.au, connecting external applicants to the ATS intake.
The Workable ATS deployment centralized core Applicant Tracking System capabilities. It included job requisition publishing, candidate sourcing and application intake, structured screening workflows, resume and candidate profile storage, and interview scheduling to support end to end hiring processes.
Operationally the system supported Catch's Talent Acquisition and HR teams, consolidating hiring activity for corporate functions and retail staffing under a single ATS. Governance work established role based access for recruiters and hiring managers, defined requisition approval steps, and standardized pipeline stages to enforce consistent screening and interview processes.
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Sift Science | Legacy | Sift Science Digital Trust Platform | ML and Data Science Platforms | AI Development | n/a | 2021 | 2021 |
In 2021 Catch implemented the Sift Science Digital Trust Platform on its website to instrument digital trust and fraud prevention across its online retail flows. The Sift Science Digital Trust Platform is deployed as an ML and Data Science Platforms solution and is positioned to provide real-time risk scoring and decisioning for checkout, account creation, and order validation workflows that support e-commerce business functions.
Deployment is centered on website event instrumentation with a combination of client-side event capture and server-side event APIs feeding the platform's machine learning models and policy engine. Configuration focuses on risk scoring, automated decision rules, and analyst-facing signal surfacing to integrate fraud detection into commerce operations and account protection workflows, with governance handled through rule configuration and model tuning inside the Sift Science Digital Trust Platform.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Collaboration | Collaboration |
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2017 | 2017 |
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Survey and Questionnaire | Collaboration |
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2019 | 2019 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application, Web and Enterprise Search | Content Management |
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2016 | 2016 |
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Digital Signing | Content Management |
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2023 | 2023 |
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eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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eCommerce Fraud Protection | eCommerce |
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2019 | 2019 |
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eCommerce | eCommerce |
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2023 | 2023 |
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Personalization and Product Recommendations | eCommerce |
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2016 | 2016 |
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Personalization and Product Recommendations | eCommerce |
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2020 | 2020 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Account Based Marketing | CRM |
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2019 | 2019 |
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Customer Data Platform | CRM |
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2019 | 2019 |
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Customer Engagement | CRM |
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2021 | 2021 |
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Customer Experience | CRM |
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2020 | 2020 |
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Digital Advertising Platform | CRM |
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2016 | 2016 |
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Marketing Analytics | CRM |
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2016 | 2016 |
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Marketing Analytics | CRM |
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2019 | 2019 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Automation | CRM |
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2020 | 2020 |
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Marketing Automation | CRM |
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2020 | 2020 |
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Tag Management | CRM |
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2021 | 2021 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Apps Development | PaaS |
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2018 | 2018 |
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Transactional Email | PaaS |
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2017 | 2017 |
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Transactional Email | PaaS |
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2020 | 2020 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2014 | 2014 |
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Application Hosting and Computing Services | IaaS |
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2014 | 2014 |
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Content Delivery Network | IaaS |
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2019 | 2019 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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