{"id":8333,"date":"2024-08-02T13:35:08","date_gmt":"2024-08-02T13:35:08","guid":{"rendered":"https:\/\/tup.kxe.temporary.site\/retailers-struggle-to-identify-site-visitors\/"},"modified":"2024-08-02T13:35:08","modified_gmt":"2024-08-02T13:35:08","slug":"retailers-struggle-to-identify-site-visitors","status":"publish","type":"post","link":"https:\/\/okdesign.ca\/fr\/retailers-struggle-to-identify-site-visitors\/","title":{"rendered":"Retailers struggle to identify site visitors"},"content":{"rendered":"


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Even established online retailers face significant competition from large discount marketplaces like Temu, Rakuten and, of course, Amazon. That makes it even more disturbing that they are only successfully identifying 15 to 27% of their site visitors, leaving up to 85% unknown.<\/p>\n

The statistics come from Bluecore\u2019s \u201c2024 Benchmark Report.\u201d The problem here is illustrated by another statistic from the same source. Knowing your visitors makes it more likely that they will buy again. Businesses with the highest ID rates see 53% higher repeat purchases.<\/p>\n

Why we care.<\/strong> It\u2019s harder for retailers, isn\u2019t it? When it comes to complex purchases like cars or houses, and indeed to B2B transactions, the purchaser will identify themselves at some point in the journey, even if it\u2019s later than the seller would like. Ecommerce retailers will collect transaction data at the point of conversion, but will they recognize that buyer when they reappear?<\/p>\n

The task is to take identifiers like email addresses or phone numbers and \u201cmatch them to previously collected behavior,\u201d Bluecore says. There is no simple answer to what constitutes a good identification rate; the higher the better, it seems. The full report can be found here<\/a>.<\/p>\n

More angles on buyer behavior. <\/strong>Here are some other data points from the report:<\/p>\n