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Marketing.
Automation. Analytics.
Rails Reactor.

Marketing Automation and
Marketing Intelligence

With increased competition for digital channels, for companies in the B2B sector, marketing automation and marketing intelligence become increasingly important.  Marketing software allows clients to effectively manage marketing campaigns, optimize resources, collect data, and provide for a wide array of critical functionalities, including analytics, team collaboration, branding, phone call tracking, social media marketing, content distribution, SEO, lead scoring and nurturing, and email marketing.

Our Experience

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Lead Management
Campaign Management
Social Media Automation
Data Enrichment
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06
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Email Marketing
Analytics
Real-Time Alerts
Data Quality

Our Projects

We developed for an automated AI account-based targeting platform for a  Silicon Valley marketing startup. The AI-powered Operation Module learns ideal customer target profiles based on historical CRM data and then builds audiences for target customers and personas and deploys paid media campaigns automatically to deliver a predictable, qualified inbound lead flow.
Technology
  • Java
  • RxJava
  • Gradle
  • Jetty
  • OAuth2
  • JWT
  • Reds
  • MySQL
  • Aerospike
  • RabbitMQ
  • Kafka
  • Liquibase
  • Azure VM
  • Swagger
  • Jsoup
  • Thymeleaf
  • Hibernate
  • MapStruct
  • Wiremock
  • NginX
  • Docker
  • Spring Social
  • Spring Boot 1.5
  • Spring Core 4.3.10
  • Spring Data
  • Spring Security
  • Spring Kafka
  • Spring State Machine
  • Logback
  • Compose
  • Logstash
  • ElasticSearch
  • Kibana
  • Jenkins
  • Microsoft Azure
  • Azure Search Services
  • Azure CosmosDB
  • Azure Storage Service
Integration
  • LinkedIn
  • Facebook
  • Salesforce
  • LiveRamp
  • Apnexus
  • TradeDesk
  • HGData
  • Zoomino
  • Insideview
We developed an app intelligence platform for app publishers and developers, providing  store trends and app store downloads, revenue, and SDK data. Our application tracks and analyzes iOS app data, displaying user information on a personal dashboard which monitors  daily app downloads and revenue estimates and facilitates the buy/sell of  exclusive rights to mobile apps.

The Intelligence Tools, which were developed by Rails Reactor, are used by mobile publishers and developers, service providers, and investors on a daily basis to understand and monitor competitors, inform business strategies, and identify emerging consumer interests and trends.

We also developed multiple SDKs for category level analysis and customisable industry reports.
Technology
  • Ruby
  • Ruby on Rails
  • Heroku
  • Grafana
  • PsyKick
  • JavaScript
  • Backbone.js
  • InfluxDB
Programmatic Marketing software enables marketers to better understand and engage customers across a wide range of  media formats, devices, channels, and buying modes.

Developed functionality includes the following modules:
Active analytics with machine learning and predictive analysis to test investment patterns
Detailed Customer Insights, including age, geographic location, previous brand interaction, and purchase intent behavior
Marketing Plan Benchmarking,  allowing  users to analyze an existing marketing plan for performance and improvements
OneView — ability to sync user information across all devices
People Based Marketing —  complete picture of a customer’s
Automated bidding component
Fraud Protection Module
Technology
  • Java
  • AWS Lambda
  • Qubole
  • Jenkins
  • Scala
  • Amazon Route 53
  • Chai
  • Typescript
  • Webpack
  • Apache Flume
  • Aerospike
  • Docker
  • Python
  • Amazon EC2
  • PostgreSQL
  • Moment.js
  • Sinon.js
  • Mocha
  • Amazon Simple Queue Service
  • Red Hat Ansible Tower
  • Apache HTTP Server
  • Angular JS
  • Bootstrap
  • Gulp.js
  • Karma
  • SASS
  • Protractor
Machine Learning
  • Machine Learning
  • Big Data
  • Predictive Analytics
Online advertising can be complex and confusing [to businesses]. One challenge is to maximize results in a cost effective manner . Based on historical data on advertising campaigns, we developed a response model to simulate different types of custom audience behavior. Combining this with a model for campaign parameter selection, we  created a virtual environment to run advertising campaign simulations.
Technology
  • Scipy
  • Kubernetes
  • PostgreSQL
  • Jupyter
  • Python
  • Numpy
  • Docker
Machine Learning
  • Reinforcement Learning
  • Recurrent Neural Network
  • Pytorch
  • Scikit-learn
  • Random Forest
  • Decision Tree

Our Technologies

We are highly skilled across a wide variety of technologies and can leverage our diverse and broad skill sets to achieve tailored software products.  Our engineers are expert technologists focused on client delivery.
CLOUD
  • Heroku
  • EC2
  • Digital Ocean
  • Google Cloud
    platform
  • AWS  S3
  • Azure
 Database
  • MS SQL Server
  • PostgreSQL
  • Aerospike
  • Redis
  • Cassandra
  • Elasticsearch
  • MongoDB
  • MySQL
  • Oracle
 WEB
  • Java
  • Scala
  • .NET
  • PHP
  • Ruby
  • Python
  • React
  • Angular JS

We’ll make your product smarter, with Artificial Intelligence & Machine Learning

Artificial Intelligence and Machine Learning techniques are bringing a paradigm shift to healthcare, thanks to the increased availability of data and the rapid progress of analytics techniques. AI can be applied to various types of healthcare data (structured and unstructured).
Popular AI techniques include machine learning methods for structured data, such as the classical support vector machine and neural network, and the modern deep learning method, as well as natural language processing for unstructured data.

Computer Vision & Image Recognition

Natural Language Processing

Chat Bots

Data Mining

Voice Technology

Big and Small Data Processing

Humanizing Technology

with User Experience

Investing in a properly structured UX process at the development stage helps identify the factors that can lead to project failure, and also reduces the likelihood of rework.
Our commitment to developing the best applications begins well before a single line of code is written.
Planning, testing, and an overall commitment to creating a product that addresses its users’ real needs lead to greater profitability over time and a clearer path to growing your business.

Our Engagement Models

Project-based

You tell us your problem and challenge. We form a team (PM, BA, designers, engineers, QAs etc.) and they work till the issue is solved.

Team Augmentation

You have your team in place, but need a few additional people with specific skill set? We have them. Tell us whom you need and we’ll bring the right people.

Our Clients

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