+62% ROAS
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LD Mountain Centre uplifted slow-moving items with an incremental Google Shopping campaign
Bidnamic increased our revenue year-on-year by 115% over the critical festive period.
The challenge
Standout needed a solution that could help them stay competitive on Google Shopping whilst also increasing the volume of sales profitably.
Many fashion retailers experienced record losses as a result of fast-changing economic conditions. Standout needed a solution that would protect them against market fluctuations, and ensure they remained competitive. They also needed a solution that could increase the volume of sales to sell old stock before the next seasons stock is ready to be sold.
Being such a competitive market, they were fighting for attention against the biggest names in retail. The challenge was for an SME to increase sales volumes and compete against these bigger names, without burning through their ad spend and generating no ROAS.
The solution
Standout had previously struggled to increase the volume of sales at a sustainable ROAS. The fashion industry is incredibly competitive and is dominated by big brands who have the budget to waste on generic search terms, pushing independent retailers off the Google Shopping carousel.
Bidnamic’s purchase intent engine ensured Standout were only bidding aggressively for terms likely to convert into a sale. Paying the optimal CPC per term ensures that Standout maximised the efficiency of their ad spend, allowing them to win valuable clicks from larger competitors and level the playing field.
The results
Utilising the Bidnamic platform, Standout has been able to compete with larger fashion retailers, ensuring they are in front of the right customer, at the right time, and at the right price. Since working with Bidnamic, they have seen a 271% increase in ROAS from Google Shopping, a 115% increase in sales, and a 124% increase in conversion rates.
In addition, the SKU level shopping data that Bidnamic gathers has helped Standout improve other areas of their business, such as helping make stock buying decisions.
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