The company we serve is a retailing behemoth in the Middle East with a diverse product offering and a large consumer base. They wished to understand more about consumer behaviour and devise tactics for increasing client retention and loyalty.
We assisted the client by devising and executing a Customer Cohort Analysis, enabling them to understand customer behaviour and make well informed strategic decisions.
While we started with the analysis we encountered various challenges at the beginning such as limited access to relevant customer data, defining meaningful cohorts, identifying crucial variables, analysing complex customer behaviour patterns, and implementing effective churn mitigation strategies.
Our solution involved implementing Customer Cohort Analysis to address the client’s challenges effectively. We built ease to read, and statistical-driven advanced dashboards to allow relevant stakeholders to get insights about business in no time.
After we collected and analysed data from various different data sources, and based on the comprehensive analysis we gained insights about:
This informed the development of targeted marketing campaigns to win back disengaged customers and improve retention.
Additionally, our order analysis identified popular products and categories, facilitating optimization of product offerings and pricing strategy. Overall, our solution provided the client with valuable insights into customer behaviour, enabling data-driven decision-making for improved retention, loyalty, and business growth.
Innovatics proposed a state-of-the-art solution by building an Azure-based pipeline. The solution involved fetching, saving, transforming, and publishing data between BIZOM and SAP, using Azure Data Factory (ADF) and Azure SQL database.
This case study delves into the journey of a pharmaceutical company aiming to launch medical drugs in an untapped global market to achieve higher sales and market share. The company is a leading player in the healthcare industry. With a rich portfolio of successful pharma products.
The case studies about relevant customer data, defining meaningful cohorts, identifying crucial variables, analysing complex customer behaviour patterns, and implementing effective churn mitigation strategies.
Re-engineering and migrating all the DOMO dashboards to Tableau, with Snowflake as the data warehouse. Tableau was chosen for its scalability and ability to handle large data sets efficiently.
This case study showcases how we helped a leading agriculture company by digitally transforming key areas, including: Plant monitoring, early detection of plant infections, smart irrigation and precise chemical application.