10 %
15 %
20 %
We examined the client's current data sources and suggested new ones gather customer data like age, buying patterns, online activity, and social media use. Then, we created an ETL process to merge data from different sources into the Snowflake data warehouse. This process ensured the data was accurate, uniform, current, and suitable for analysis.
Using Tableau, we analyzed customer demographics and purchase behavior, identifying patterns and insights. We helped the client develop a customer segmentation strategy based on behavior and purchase history for targeted marketing campaigns. We created interactive dashboards for swift business performance analysis and trained the client's team in Tableau for informed decisions, reports, and dashboards. We also applied predictive analytics for future trend forecasting and improvement identification.
We analyzed data to create personalized marketing campaigns that improved customer engagement and retention. That helped the client create targeted campaigns based on customer segments, purchasing history, and behavior. That resulted in higher conversion rates and loyalty. We also suggested a customer loyalty program to incentivize repeat purchases and promote the client's brand.
Targeted marketing campaigns resulted in an increase in sales within 6 months using customer engagement data.
Customer satisfaction growing and leading to positive customer reviews and word-of-mouth referrals.
Through personalized loyalty programs and retention strategies, 20% more repeat customer purchases were made.
GetOnData was instrumental in helping us better comprehend our customer's behavior and needs. Their data analysis and visualization skills enabled us to craft personalized marketing campaigns and loyalty programs that increased sales while increasing customer engagement.