Results were impressive in the four months following the launch of Shopping ads through Connexity, Groupon’s sales revenue from Connexity increased by 297%. Groupon ran Shopping ads through Connexity. Using large-scale analytics, Connexity modelled performance insights to feed the bidding engine, including search query trends, auction insights, purchase propensities, brand affinities, seasonality, and more. Using Google APIs at scale gave Connexity access to automated reporting and feedback, which allowed them to optimise Groupon’s campaigns more efficiently and quickly.Ĭonnexity used their proprietary technology platform to automate bid optimisation according to Groupon’s objectives, product attributes, and campaign dimensions. After algorithmically classifying Groupon’s offers to match Google’s taxonomy, Connexity added key product metadata to improve the offer acceptance rate and performance of the brand’s Shopping ads.
Four pillars made up the strategy.Ĭonnexity processes up to 1 billion products every 30 days and then enriches roughly 5% of the content in their feeds, which provides Shopping ads with clear signals on attributes such as brand, material, size, and so on.
Connexity aimed to help Groupon increase sales revenue and maintain or improve their return on ad spend.
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