Improving affiliate marketing ROI with customer insights
AwinDelta Lake · Agent BricksAwin, a global affiliate marketing network, migrated to the Databricks Data + AI Platform with Delta Lake to ingest, analyze and export a terabyte of data daily and power a machine-learning recommendation engine that identifies beneficial advertiser-publisher partnerships. This delivered a 9x increase in member acceptance rate for publisher recommendations and a 20% reduction in compute costs, while cutting data ingestion-to-insight time from a full day to about an hour.
Overview
Awin, a global affiliate marketing network, migrated to the Databricks Data + AI Platform with Delta Lake to ingest, analyze and export a terabyte of data daily and power a machine-learning recommendation engine that identifies beneficial advertiser-publisher partnerships. This delivered a 9x increase in member acceptance rate for publisher recommendations and a 20% reduction in compute costs, while cutting data ingestion-to-insight time from a full day to about an hour.
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Inspect the highlighted sourceThe challenge
Awin ingests, analyzes and exports a terabyte of data every single day. From an engineering perspective, they were not able to leverage this data and deliver insights in a timely manner for internal and external stakeholders to make smarter decisions. The sheer volume of transactional and other data clogged up the pipeline, resulting in day-long waits for insights.
The solution
Awin has leveraged ML for process automation and a recommendation engine that identifies beneficial partnerships and opportunities between advertisers and publishers that yield the highest success rates. With improved insights, Awin is able to recommend publishers to customers that give them the best chance of driving conversion.
Reported business value
With ML-powered recommendations, Awin has seen a 9x improvement in the rate customers accept publisher recommendations. Databricks has helped Awin significantly lower the cost of business operations, reducing ETL windows by over 40%, resulting in 20% cost savings on processing, and reducing hosting fees by about $25K per month. The data ingestion-to-insights process, which once required a full day, now only takes around an hour or less.
Sources
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