A majority of businesses today have an online presence and sell their products or services over the internet. Website visitors leave behind large trails of digital footprints when they engage with internet-based businesses. These digital footprints or data logs tell the story of customer intentions and website experience across their navigation journey. However, there are significant challenges involved in designing and implementing tailor-made solutions in collecting and gaining actionable insights from such data.
Rubikon’s Customized Clickstream Analytics Solution (CCAS) enables digital companies to collect data as per their business needs and make better strategic decisions. As a cloud-native development company, these solutions are highly scalable and seamlessly adapt to changing business landscapes.
CCAS focuses on delivering bespoke solutions to clients as per their online business dynamics. That’s why the development team at Rubikon Labs works with business owners to develop Custom APIs and triggers that collect relevant event data as per the business use case and website design. Clickstream data poses its own challenges because of its size and semi-structured form. Rubikon’s data engineering team, however, is proficient in building cost-effective and highly scalable pipelines to extract, transform and securely store captured clickstream data.
CCAS is unique from other offerings in that it drives business value by deriving and reporting key insights as per each specific use case. What’s more, analytics generated from clickstream data can be extended to partners and even customers. Whether you are an e-tailer or market services online, Rubikon’s experienced analytics team will help you get the best out of your clickstream data.
Clickstream data forms the base for a number of AI-enabled solutions such as smart product recommendations, price optimization, and many more. Being an AI company at its core, Rubikon can help you take your clickstream analytics efforts to the next level by leveraging expertise in machine learning and data science.
