What retail categories are Gen Ys searching for online?

October 30, 2009

In my last post I looked at search terms by 18-24 year old Australian users, and indicated how they were more likely to search for bricks and mortar brands than online players; with an overall tendency to search by brands compared to products.

As expected, some of the retail categories that these brand and product search terms fell into conformed to some gender stereotypes. For example, ‘Apparel’ related terms attracted the highest percentage of search traffic by 18-24 year old female users (25%), while ‘Electronics’ terms were heavily represented by 18-24 year old male users (28%).

· 18-24 year old females, compared to males, were more likely to search in these retail categories: Apparel, Grocery, House and Garden, Ticketing, Sports (e.g. ‘Nike’), Rewards, Books, Health and Beauty, Mall (e.g. ‘Chadstone shopping centre’), Comparison Shopping (e.g. ‘Shopbot’), Toys, Video and Discount (e.g. ‘Best and Less’).

· 18-24 year old males, compared to females, were more likely to search for brands and products in Electronics, Department Stores, Music, Classifieds, Auctions, Automotive, Mobile, Games, Computers, Hardware, Household, Stationery and Notebooks.

·Apparel brands searched on by 18-24 year old females included, ‘forever new’, ‘supre’, ‘valley girl’, ‘dotti’ and ‘sportsgirl’. Product terms included, ‘engagement rings’, ‘sunglasses’ and ‘dresses’.

· Electronics brands searched on by 18-24 year old males included, ‘apple’, ‘jb hifi’, ‘hp’ and ‘dell’. Product terms included, ‘iphone’, ‘nokia n97’, ‘laptops’, ‘mac’ and ‘tomtom’. Brand names on notebooks included, ‘dell laptops’, ‘toshiba laptops’, ‘hp laptops’ and ‘sony vaio’.

Greater price-sensitivity by female shoppers

It was also interesting to observe that 18-24 year old females had a stronger tendency than males to search on terms related to Comparison Shopping, Rewards and Discount categories. This means that retailers should ensure they are well-represented on comparison shopping websites and reward schemes for products targeted at females.

Retailers can use search behaviour on retail categories to help prioritise which products they market to different age and gender groups across all of their marketing activities. Keyword lists can also be fine-tuned by delving further into the search tail by each segment.

This post and the previous one are based on Experian Hitwise Custom data. To find out more, email csm@hitwise.com.

http://weblogs.hitwise.com/sandra-hanchard/2009/10/what_retail_categories_are_gen.html