How Interior Define boosted ROAS 147% using consumer predictions
After seeing those results on paid search, Interior Define used a similar location-based targeting strategy with Facebook Ads, resulting in another significant lift in ROAS.
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How Thirstie expanded end-user value with embedded predictions
Learn how Thirstie uses embedded machine learning predictions to give users more valuable insights about their markets.
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How Orchard reaches high-quality home buyers and sellers using predictions
“Faraday has been a huge unlock for us in finding really high quality customers on channels that have removed a lot of their detailed targeting options, and allowed us to efficiently scale in Facebook.”
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How Saatchi art implemented data-driven predictions to lead generation campaigns
“Faraday has given us a new level of insight and transparency into our models. We’ve seen significant improvement in campaign performance on Facebook and are excited to leverage Faraday’s machine learning capabilities across more teams and channels.”
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How an insurtech company engaged more qualified leads with consumer predictions
Predictive audiences leads to 48% lower cost-per-impression for this insurtech company
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How a luxury lingerie brand drove personalization and high-LTV audience seeding with predictions
Using Faraday’s high-LTV personas on Facebook, this brand saw a 43% higher conversion rate on holiday campaigns
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