Well known international brand needed a data-driven solution to further understand their customers

The Challenge

Chilly’s needed a data-driven solution to save them time and money

Prior to Bidnamic, Chilly’s used Google’s Smart Shopping. Whilst Chilly’s certainly didn’t need help growing brand recognition or online presence, they had reached a ceiling with their Smart Shopping campaigns and wanted a modern, machine learning approach to optimise and scale up their Google Shopping channel.

They needed a solution that would help them achieve their growth goals and save them time. 

Smart Shopping is a data ‘black box’, meaning Chilly’s didn’t have access to the extremely valuable data which would give them further insights into their customer’s journeys and search terms. By using Bidnamic, they now have access to this data allowing them to understand their customers in more depth.

The Solution

By moving from Smart Shopping to Bidnamic, Chilly’s has been able to capture high performing search terms and learn valuable customer insights

Bidnamic implemented a strategy for Chilly’s Bottles with the aim of increasing volume, decreasing the cost per click and growing revenue. Using our TST campaign, we were able to target unique search terms to reduce the CPC and give further visibility to the traffic we are generating. 

Our customer team had weekly calls with Chilly’s to ensure they were kept up to date with any account changes and learn valuable insights into their Google Shopping campaigns.

The Results

Chilly’s Bottle’s saved time and gained valuable data insights moving to Bidnamic’s machine learning technology

Over the course of the year, we have been able to increase conversions and revenue for Chilly’s with our machine learning, human thinking approach. The time saved by offloading Google Shopping to Bidnamic and our data scientists has meant that Chilly’s has been able to deploy more time to other areas of marketing.

With increased transparency of their data, Chilly’s Bottles are now able to see their customers’ purchase intent and what their customers are searching for, and have been able to retarget their customers more successfully.