About LongStreet Solutions
Longstreet Solutions started building front-end loyalty solutions for the restaurant, eCommerce, and retail industries. Longstreet Solutions’ passion to bridge marketing and data led the Company to develop innovative, data-driven solutions for marketers and businesses alike. The Company’s goal was to use technology to understand who customers are, how they behave, and when to send relevant, targeted messages at the precise time. Ultimately, Longstreet Solutions aimed to improve marketing campaign effectiveness and drive an increase in revenue for its customers.
Longstreet Solutions shifted focus over three to four years to analyze customer data and automate processes. Daniel Waltzer, Chief Executive Officer at Longstreet Solutions, knew that Big Data would lead to better decision-making but encountered challenges with making sense of how to tackle Big Data. The Company hoped to solve the issues of quickly storing, querying, and securing data as well as improving the reliability of mission- critical programs and applications.
Waltzer knew that Big Data was so much more than a trendy industry buzzword. At the time, there was not much public application of Big Data in the restaurant and retail industries. However, Waltzer knew that the retail and restaurant industries generate a wealth of data, making the business case for using data analytics clear.
Big Data technologies in AWS enabled Longstreet to harness the power of data and deliver intelligent marketing. Waltzer commented, “Relus presented AWS Big Data solutions which enabled us to develop strategy and move to using buying patterns, closed loop reporting, and persona proﬁling to make marketing more effective.”
Relus recommended Amazon EC2, S3, DyanmoDB, Redshift, and Datapipeline. Relus was able to create predictive data, targeted analytics, and detailed customer segments using rapid queries to determine the right time to send relevant, targeted promotions to customers.
Longstreet Solutions delivered concrete ROI for its customers using AWS Big Data solutions. According to Waltzer, “Relus and Big Data in AWS helped us recapture 40% of lapsed customers, increase customer response rates to 50-200% above industry averages, and deliver concrete ROI for clients.”
Longstreet found that AWS Big Data technologies also created ancillary benefits, including comprehensive views of business operations, delivery process and order fulfillment, and the ability to predict responses and adjust costs at a moments notice.
Longstreet Solutions needed technology that can deliver and improve results. “Our focus is to improve and expand our Big Data and marketing automation services,” stated Waltzer. “The role Relus plays in providing and maintaining our core technologies will be vital to our ability to execute.”