Success Stories

Retailer optimizes ad spend and drives quality leads with predictive segments

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About

The clothing apparel company has been around for more than 40 years and has more than 1300 physical stores around the globe. The brand’s eCommerce sales is available on 30 native websites, which are home to a great deal of online traffic everyday.
Turning Facebook Ad Traffic Into Purchases
The brand has been spending the biggest part of their marketing budget for digital ads, namely Facebook ads. The digital marketing executives realized that although Facebook ads bring a lot of visitors to eCommerce websites, very little of that traffic results in conversion. Despite being a relatively expensive channel, Facebook was the one place where the least conversion happened amongst all channels. 
Prospecting through Likelihood to Purchase Scoring
Using Insider’s predictive segmentation technologies, the brand wanted to increase the conversion rates from Facebook ad campaigns and optimize their ad spend. The brand was able to segment Facebook audiences who have a higher likelihood to purchase score and the audiences who had a similar online behaviour to them. The company was also able to use Facebook’s Lookalike Models to deliver more relevant ad experiences to potential customers who had never been to their website, but who had similar online behaviour to those who have a high likelihood to purchase score. 

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