Red Carpet FX: Front and centre stage on the Shopping carousel

The results

Red Carpet FX achieved an impressive 65% increase in ROAS

Bidnamic’s technology helped the makeup retailer reach their Google Shopping goal of achieving a profitable ROAS, having increased by an impressive 65% YoY. 

On top of this, their conversion rate increased by 66% and revenue by 67%, making an amazing comeback post-pandemic. Their CPA also decreased by 33% and CTR increased by 6%, using our machine learning human thinking approach. 

We’re overall extremely happy with the results Red Carpet FX have achieved, and we’re certain they will continue to smash Google Shopping in the future!

The challenge

Red Carpet FX needed an automated solution, to make up for pandemic setbacks 

Like many other businesses, Red Carpet FX were looking for a solution to help them get back on track after a slow period during the pandemic. They had previously used agencies and Google Smart Shopping (which has been replaced with Performance Max) to manage their campaigns, but they weren’t producing the results they hoped for. 

The special effects gurus wanted to achieve a profitable ROAS, whilst growing volume in off-peak season, and dominating the Shopping carousel during peak season. With almost 50,000 SKUs, they were in need of an automated solution that provides data access down to a granular SKU level. 

The solution

Finding the bidding ‘sweet-spot’ for thousands of SKUs 

Bidnamic implemented a strategy for Red Carpet FX to maintain profitable traffic whilst ensuring visibility for their full product catalogue. Our machine learning platform analyses hundreds of variables for every single product SKU, predicting the right price to pay based on the purchase intent of each search query.

What's more, our clients receive weekly appointments with our expert Client Success team. They provide feedback on your account, highlight issues on your Merchant Centre or tracking pixels, and discuss your ecommerce strategy. Human insight, as well as benchmarking against active brands in the industry, allow informed decisions and precise performance.