Backbone Media is a public relations, media planning and buying, social media, and content marketing agency for active lifestyle brands. They help leading outdoor gear, apparel, technology, and food and beverage brands to expand their communities by cultivating lasting connections with customers.
Data is at the heart of Backbone’s ability to drive success for their clients who rely on data from: DoubleClick Campaign Manager, Facebook Ads, Google Ads, Google Analytics, and Kochava.
For Backbone Media data collection took a significant amount of time each month. Employees had to manually handle data during every reporting period for each client. Data prep required 60% of their time; valuable time which could have been used to perform analysis and gather actionable insights for their strategic accounts.
Excel was also a hindrance to their work; files were breaking and causing staff computers to crash due to maxing out csv files from data source extracts. Backbone needed to automate the process of gathering data from various online social media sources for more efficient monthly reporting.
Rivery immediately stood out as a solution for Backbone’s data prep issues. Rivery has connections to all of the data sources that Backbone relies upon for their data operations and consolidates them into a single data integration platform. With the capabilities of Rivery’s platform, the Backbone team was incentivized to build out a data warehouse platform from each ad platform for all of their clients. Rivery automates data flow so staff is no longer burdened with manual prep, enabling data teams to immediately analyze from a wide array of sources.
The team had no prior experience with SQL or ETL/data engineering and management and still found Rivery intuitive and easy. Rivery was also the perfect solution for Backbone’s agency size. It allows the ability to scale while being budget friendly and cost effective.
With Rivery, Backbone’s data collection and preparation requires a fraction of the time. Staff now spends just 5% of their time handling data instead of 60%, leaving ample time for analysis and client management.