• Loymax

  • Владислав Веревкин

Владислав Веревкин

Frontend Developer at Loymax

Владислав Веревкин has a strong background as a software engineer, with experience in both frontend and full stack development. Владислав is currently working at Loymax as a Frontend Developer since November 2020. Prior to that, they worked at UNITERA as a Frontend Engineer from March 2020 to November 2020. From November 2018 to March 2020, they worked at Loymax as a Frontend Engineer. Before joining Loymax, they worked at Nikolas Group as a Full Stack Engineer from January 2017 to November 2018. Владислав also has experience working as a Full Stack Engineer at Help_GROUP from August 2016 to January 2017, and at Redline from December 2015 to June 2016.

Владислав Веревкин attended Tomsk State University from 2010 to 2014, where they obtained a Bachelor's degree in Information Technology.

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Loymax

Founded in 2010 Loymax is a developer of loyalty management and marketing automation platform. Our products include a CRM, loyalty management platform, campaign manager and an analytical module for complex analysis of business processes. Nowadays Loymax is a global company with 5 offices and more than 200 employees, offering 2000+ promo combinations and servicing 50 million loyalty cards with 1.9 billion receipts in the system. Medium and enterprise-level companies in 7 different business areas have their loyalty programs running on Loymax`s software. The platform has rich functionality and helps to build a personal relationship with each client. Client segmentation, behavioral studies and deep analytics are available for the users. Flexibility and real-time priority management are a few key elements of our software. Our product line includes four key modules for marketing management. Loymax Loyaly offers more than 1000 promo mechanics for your loyalty program. The Smart Communication module is a campaign manager. This module is used for automating communications for e-commerce and brick-and-mortar retailers. Business Intelligence module used for deeper understanding customers' behavior and for marketing campaign analysis. It includes proprietary and common methods for client segmentation such as BCG, RFM analysis, binary segmentation and segmentation by price sensitivity. The Machine Learning module automates personal promos and eliminates risks associated with marketing decision-making.


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51-200

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