Amazon has released its second annual ranking of the top cities in Canada with the most pampered pets, and Windsor, Ontario has topped the charts. Windsor was ranked 15th last year and has particularly risen to the top by ordering the most dog carriers, beds, collars, treats and toys this year. Amazon’s official ranking list, which does not cite any figure related to the sales of pet-related accessories in Canada, could be found over here. Windsor is followed by the Saskatchewan cities of Saskatoon and Regina, which top in buying treats like bones and catnip, and toys such as teaser wands, flying discs and chew toys for their pets. Teaser wand is kinda funny, don’t you think?
The rankings are based on Amazon’s pet item sales data for the time period of August 2013 – August 2014 for the True North Strong and Free.
Why should I care about this data? I don’t need to know how much people spend on their stinky, smelly pets! Why would anyone need this kind of stupid data about doggy treats?
Well, for starters, this stupid data is used by a large number of companies to make their living. But how? This data lists the top cities in Canada where people are willing to spend a significant amount of money on their pets, and now that you know what cities are likely to purchase products and services for their pets, you could focus your operations specifically to those cities, if you work in an associated industry.
Associated industry? You know, pet care services, veterinary physicians, pet groomers, trainers, and even some writers may also find jobs in these cities if they start focusing on ‘animal-literature’. Give it a thought, this ‘industry’ does provide you with employment and business opportunities and can’t be worse than being unemployed, right?
This sort of ‘stupid’ data can also be used in data mining, using which patterns are found by analyzing big chunks of data.
Do Amazon and other retailers use data mining?
You bet they do. Some retailers offer localized combos of products at discounted prices, which they ‘think’ are highly likely to be bought by consumers. Example: some retailer chains might put items like beer and diapers in close vicinity, for their ‘mining’ could have suggested that customers usually buy beer as well when looking for diapers.
The aforementioned ‘story’ is widely used as an example of association rule mining, and according to a number of media outlets, a certain retailer whose name ends with ‘mart’ does keep this beer-diaper combination in its stores. Head right over here to read about that retailer.