A groundbreaking optimization strategy - Under Armour finds success with new Shopping campaign structure
For the sports performance brand Under Armour, ecommerce plays a key role in product sales. Over 16,000 items are advertised on Google Shopping and almost all of the products are available in 13 European countries via the manufacturer's online shop. While Under Armour had invested in campaign optimisation for Google Shopping, the team saw further potential and devised a unique campaign structure that divided search traffic by branded and generic terms.
The biggest challenge was that a large part of the traffic and sales were achieved by branded search terms within the campaigns. This performance differed greatly from that of our generic search terms but were grouped in the same campaigns and ad groups. This structure hindered effective bid management and usable insights.
Achieved impression share on branded terms
Thanks to these fantastic performance outcomes and the significantly improved insights, Under Armour immediately expanded their new campaign structure to 13 markets in Europe.
"Through our improved funnelling, we achieved an almost complete share of possible impressions for our branded search terms, ensuring that we reach all athletes searching for Under Armour sports performance apparel and footwear in an efficient way."
Under Armour organised a Shopping Lab with performance marketing agency iProspect and Google. This workshop was a novelty for Under Armour and really brought the partnership with Google Shopping to the next level. The main outcome of the workshop was to separate branded from generic traffic in Google Shopping through intelligent use of campaign priorities and funneling of search terms. This improvement allowed Under Armour to optimize differently for search terms with different business goals.
Bids on bestsellers are determined by only their past performance. In Under Armour’s new strategy, the bestseller was identified by predictive insights from the business, which were then combined with historical data.
The insights gained in the Shopping Lab about funneling search terms and improving the bidding strategy were first put into practice and tested on Under Armour’s Dutch website. After just one month, positive results clearly emerged.
"We decided to split out bestsellers, based on information and forecasts from the Under Armour demand planning team, instead of through the conventional way of looking at historic data only. We did the same with price outliers."