Marketing technology

Transform your marketing operations and improve your products and customer experiences using data-driven process automation and decision optimization.

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We help business and technology leaders design and deliver marketing technology ecosystems that enable data-driven process and decision automation across all stages of the customer lifecycle:

  • Collect user events from your web and mobile apps
  • Integrate with data providers and activation channels
  • Analyze customer behavior using advanced techniques
  • Personalize user experiences and offers
  • Optimize marketing spend across channels
  • Optimize prices and promotions
  • Customer acquisition

    Customer acquisition requires integration with multiple channels, including paid search and display ads, acquiring data and segments from third-party providers, and developing attribution and channel-spend optimization models.

    We help our clients to develop and implement marketing technology roadmaps that include demand-side platforms (DSPs), data management platforms (DMPs), data integrations, and AI-based optimization models.

  • Customer engagement

    Modern customer engagement strategies require consolidating, managing, and analyzing customer data across multiple channels, personalizing content to improve user experiences, informing customers about relevant product features, and creating intelligent online services.

    We help our clients to develop omnichannel customer data platforms (CDPs), integrate with leading digital asset management and marketing cloud products, and create advanced personalization and recommendation models using the latest machine learning technologies.

  • Customer success

    Proactive customer success management and customer support requires a deep understanding of customers’ businesses and behaviors, the establishment of self-service capabilities, and the provision of operations teams with intelligent and convenient tools.

    We develop customer data platforms (CDPs), call center optimization solutions, and conversational agents that help to efficiently accomplish the tasks above.

  • Customer retention

    Customer retention is a critically important function for many businesses that requires analyzing and predicting customer churn, planning and executing retention campaigns, and personalizing retention offers.

    We help media, telecom, and entertainment companies to improve customer retention using advanced customer analytics, marketing process automation platforms, and the creation of engaging experiences and products.

  • Product improvement

    Marketing is important for customer engagement and retention, but having a great product is the true foundation of a successful business. Advanced analytics helps to deeply understand how customers use the product, which features they value, and how products, assortments, and prices can be improved.

    We help our clients to develop product and price intelligence tools that improve their strategic market positioning and customer engagement.

We have an extensive expertise with all marketing technology components needed for client acquisition, growth, and retention. We design, implement, and run martech solutions for large and small companies, as well as consult business and technology leaders on martech strategies.

What we do

We develop marketing technology solutions for many B2C and B2B industries, including retail, telecom, video games, and finance.

video game industry icon
Video games

We help video game publishers to create advanced tools for marketing and pricing operations, as well as develop industry-specific solutions for in-game personalization.

Our latest thinking on marketing technology

Building a next best action model using reinforcement learning
In this article, we discuss how to develop Next Best Action models using reinforcement learning.
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Cross-channel marketing spend optimization using deep learning
Multi-touch attribution is one of the most important problems in scientific marketing. This article provides a hands-on tutorial on how attribution models can be built using deep learning.
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Customer2Vec: representation learning for customer analytics and personalization
Almost all marketing analytics, personalization, and recommendation solutions require engineering customer feature vectors. In this blog post, we provide a comprehensive overview of the representation learning techniques for marketing applications.
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Our clients

Retail
Hi-tech
Manufacturing
Finance
Healthcare

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