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NOBULL

Performance That Doesn’t Quit

THE CHALLENGE.

NOBULL is a leading footwear and apparel brand for people who train hard, without the excuses. With its passionate community and loyal customer base, NOBULL’s key objective was to expand its audience reach and successfully launch its new Black Friday collection during the busy holiday period.

The Approach.

WebSavvy was early to market with testing Smart Shopping with NOBULL back in 2018, but with limited success. However, with machine learning improvements to Smart Shopping and NOBULL’s willingness to experiment to reach their goals, WebSavvy worked with the brand to instil confidence that it was the right time to test again. NOBULL worked with WebSavvy to further scale and grow their Shopping ads with the switch to Smart Shopping in late September 2020. The initial approach involved testing Smart Shopping on only some products, with trainers chosen as the hero category. A new Smart Shopping campaign was created for trainers, which were then excluded from the existing legacy Shopping Campaigns, to avoid overlap when reporting performance.

The Results.

Testing Smart Shopping again really paid off. Utilising a target ROAS bid strategy from the outset ensured NOBULL was optimised towards profitability. After running the Smart Shopping campaign for 3 months, NOBULL saw a 243% increase in traffic whilst maintaining a consistent Return on Ad Spend of 6x. All of NOBULL’s Shopping Campaigns have now switched to Smart, with continued growth achieved outside of the busy holiday period.

increase in TRAFFIC
+ 0 %
increase in Return on Ad Spend
+ 0 x

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