Revolutionize Digital Advertising with Shopify Audiences

Shopify Audiences elevates existing ad campaigns by integrating store data with insights on buyer behavior from the Shopify platform. This synergy identifies potential customers at various stages of their buying journey.

For instance, a swimsuit retailer can target ads more effectively using Shopify Audiences, which utilizes data like past complementary product purchases to predict future buyer behaviors. This method adds a layer of insight, sharpening the focus of ad targeting.

Different list types are available for each stage of a merchant’s marketing funnel. ‘Retargeting Boost’ focuses on high-intent customers for conversions, ‘Prospecting’ identifies potential customers likely to engage with the brand, and ‘Lookalike’ audiences drive awareness.

These lists are sourced from the Retargeting Boost list, ensuring a targeted approach to finding new customers.

The algorithms of Shopify Audiences are in a constant state of evolution, adapting to new buyer intent data through machine learning. This ongoing development means the tool becomes more effective over time.

The algorithms currently in use are the product of extensive testing and optimization, aimed at maximizing conversion rates and minimizing cost per impression (CPM). The introduction of benchmark data in Audiences v2.1 allows merchants to compare their ad performance with similar businesses, fine-tuning their strategies for better results.

By comparing ad performance against similar businesses, merchants can make informed adjustments to their ad sets, improving key metrics like click-through rate, conversion rate, and cost per conversion.

This feature is particularly beneficial for businesses with unique models, as it provides a more accurate comparison and understanding of ad performance.