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:
Transform your marketing operations
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.
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.
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 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.
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.
What we do
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.
We develop marketing technology solutions for many B2C and B2B industries, including retail, telecom, video games, and finance.
Retailers and brands
Retailers need comprehensive martech and personalization solutions that support all stages of the customer lifecycle, from acquisition to reactivation, and we help them to design and develop such ecosystems using both open-source components and leading marketing cloud products.
The quality of service and low churn rates are the top concerns for telecom and other subscription businesses. We have extensive expertise in churn analytics and building data-driven marketing processes for telecom clients.
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.
Insurance and finance
Finance and insurance companies widely rely on data-driven methods to score their customers and optimize marketing communications, and we help them to build advanced process automation solutions to make their operations efficient.
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.
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.
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.
FINANCE & INSURANCE
Accelerate your innovations
We provide flexible engagement options to design and build a customer intelligence and analytics solution for your enterprise. Contact us today to start with a workshop, discovery, or POC.
We offer free workshops with our top experts to discuss your challenges, potential areas of improvement, and industry best practices.
Proof of concept
If you have already identified a specific use case that can be solved using data science and other customer intelligence technologies, we usually can start with a 4–8 week proof-of-concept project to deliver tangible results for your enterprise.
If you are in the stage of requirements analysis and strategy development, we can start with a 2–3 week discovery phase to identify right use cases for customer intelligence and personalization, design your solution using industry best practices, and build an implementation roadmap.
All digital transformation solutions
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