List of Apptimize Customers
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Since 2010, our global team of researchers has been studying Apptimize 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 Apptimize for Apps Development 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 Apptimize for Apps Development include: iFood, a Brazil based Distribution organisation with 5539 employees and revenues of $991.0 million, Virgin Mobile UA, a United Arab Emirates based Communications organisation with 390 employees and revenues of $50.0 million, Stash, a United States based Banking and Financial Services organisation with 350 employees and revenues of $24.0 million and many others.
Contact us if you need a completed and verified list of companies using Apptimize, 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 PaaS software purchases.
The Apptimize 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 PaaS 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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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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Stash | Banking and Financial Services | 350 | $24M | United States | Apptimize | Apptimize | Apps Development | 2019 | n/a |
In 2019, Stash deployed Apptimize to support A/B Testing and Release Management for a ground-up redesign of its Auto-Stash investment feature aimed at reducing churn and increasing user engagement. The implementation used Apptimize to run controlled experiments, multivariate tests, and feature flag driven rollouts inside Stash mobile clients, with the Apptimize platform instrumented to manage variant assignment and phased exposure of Auto-Stash UX and scheduling logic.
Stash Apptimize A/B Testing and Release Management was configured to serve product, engineering, growth, and analytics functions during the redesign, enabling the product team to iterate on user flows and opt-in behaviors. Governance and rollout procedures emphasized experiment governance and release safety, using percentage rollouts, kill switches, and rollback controls provided by Apptimize to limit exposure while evaluating user behavior across Auto-Stash variants.
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Virgin Mobile UA | Communications | 390 | $50M | United Arab Emirates | Apptimize | Apptimize | Apps Development | 2018 | n/a |
In 2018, Virgin Mobile UA deployed Apptimize to run experiment-driven optimization in its mobile signup workflow. Apptimize was used as the primary A/B Testing and Release Management application to instrument the specific number selection step that exhibited the highest dropout rate in the funnel.
The implementation configured an experiment with a control path that preserved the existing explicit number selection and a variant that automatically assigned a random number while still presenting an explicit option to change that number. The team used Apptimize experiment configuration, randomization and variant allocation to define cohorts, and event level tracking to capture conversion from the number selection step to registration. The deployment leveraged Apptimize feature flag capabilities to gate the variant, enable rapid rollback and to progressively increase exposure based on observed behavior.
Operational ownership was held by a cross functional team spanning product, UX, engineering and growth, focused on the UAE market and Dubai signup flow where local preferences for special numbers were expected to matter. Governance followed a hypothesis driven testing cadence, with predefined success criteria and funnel metrics, and the team anticipated at least 5 percent more users would continue to the registration step if indifferent users were auto assigned a number. Virgin Mobile UA Apptimize A/B Testing and Release Management work therefore centered on resolving choice paralysis in a culturally specific signup experience.
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Buyer Intent: Companies Evaluating Apptimize
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