Apps Purchases: 10+ Million Software Purchases
Founded in 2010, APPS RUN THE WORLD is a leading technology intelligence and market-research company devoted to the application space. Leveraging a rigorous data-centric research methodology, we ask the simple B2B sales intelligence question: Who’s buying enterprise applications from whom and why?
Our global team of 50 researchers has been studying the digital transformation initiatives being undertaken by 2 million + companies including technographic segmentation of 10 million ERP, EPM, CRM, HCM, Procurement, SCM, Treasury software purchases, 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.
Apps Run The World Buyer Insight and Technographics Customer Database has over 100 data fields that detail company usage of emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database, and different on-prem and cloud apps by function, customer size (employees, revenues), industry, country, implementation status, year deal won, partner involvement, Line of Business Key Stakeholders and key decision-makers contact details, including the systems being used by Fortune 1000 and Global 2000 companies.
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- Distribution
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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iFood | Distribution | 5539 | $991M | Brazil | Apptimize | Apptimize | Apps Development | 2019 | n/a | In 2019, iFood ran Apptimize to instrument an experiment on the Payment Methods screen using Apptimize as its A/B Testing and Release Management solution. The deployment focused on controlled variant delivery inside the mobile checkout flow, enabling the team to present distinct UI treatments to live customers in Brazil. The iFood team executed a classic control versus treatment experiment, where the original version displayed the full list of Pay Upon Delivery payment options and the variant introduced the ability for customers to add a credit card to their iFood account and pay in-app. In the variant the Pay Upon Delivery option remained available but was de-emphasized by moving it to a secondary screen, reflecting configuration of alternate UI flows and treatment assignment logic. Implementation relied on typical A/B testing capabilities provided by Apptimize, including experiment targeting, randomized assignment of users to control and treatment cohorts, and runtime toggles to switch UI flows without a full app release. The operational scope centered on the Payment Methods screen in iFood’s consumer mobile experience and affected the checkout and payment user journey. Governance for the experiment remained within the iFood product and engineering team workflow, using Apptimize release management features to stage and control the experiment lifecycle, manage variant exposure, and revert UI treatments as needed during the test. | |
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iFood | Distribution | 5539 | $991M | Brazil | Amazon Web Services (AWS) | Amazon EC2 | Application Hosting and Computing Services | 2014 | n/a | ||
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Distribution | 5539 | $991M | Brazil | Amazon Web Services (AWS) | Amazon CloudFront | Content Delivery Network | 2018 | n/a |
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Distribution | 5539 | $991M | Brazil | Google Workspace (Formerly Google G-Suite) | Collaboration | 2011 | n/a |
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Distribution | 5539 | $991M | Brazil | Twilio | Twilio Sendgrid | Transactional Email | 2017 | n/a |
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Distribution | 5539 | $991M | Brazil | New Relic | New Relic APM | Application Performance Management | 2018 | n/a |
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Distribution | 5539 | $991M | Brazil | Skai | Skai Market Intelligence | Marketing Automation | 2018 | n/a |
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Distribution | 5539 | $991M | Brazil | Contentsquare | Hotjar | Customer Experience | 2018 | n/a |
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Distribution | 5539 | $991M | Brazil | Braze | Braze Platform | Customer Engagement,Customer Loyalty | 2018 | n/a |
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Distribution | 5539 | $991M | Brazil | Amazon Web Services (AWS) | Amazon Elastic Load Balancing (ELB) | Content Delivery Network | 2018 | n/a |
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