Shoptimized’s technology identifies when advertised products will resonate most with consumers
The algorithm analyzes historical data and product features including shape, color, material and fit
It predicts future performance for new and existing products
Shoptimized creates a custom feed based on these predictions. If specific products need to be advertised for a sale or partnership they can added manually
Shoptimized’s technology identifies when advertised products will resonate most with consumers
The algorithm analyzes historical data and product features including shape, color, material and fit.
It predicts future performance for new and existing products.
Shoptimized creates a custom feed based on these predictions. Marketers can use the Shoptimized UI to indicate if specific products need to be included for a sale or partnership
Shoptimized's software can lead to significant improvements in campaign performance and ROAS
Shoptimized leveraged an accessible luxury retailer's Google Shopping data to create a neural network. This retailer had been advertising on Google Shopping for 2 years without seeing significant profits, and was considering pausing their campaigns. The neural network Shoptimized created was able to predict product marketing performance with over 85% accuracy, and improve return on ad spend by 32%
