Instead of using a more generic “Trending Products” recommendation widget, they use a “Trending Near You”.
This takes advantage of geographic differences, such as seasons and taste. Again, the goal is to create relevant offers without having access to previous behavior.
Incorporating demographic data helps weed out non-relevant offers. For example, it’s doubtful their customers in San Diego shop winter coats, even in December.
Incorporating demographic data helps weed out non-relevant offers. For example, it’s doubtful their customers in San Diego shop winter coats, even in December.
New visitors have the lowest conversion rates.
In fact, studying millions of eCommerce sessions, we found returning visitors convert 73.72% more than first time ones.
The reason is simple. You don't know what first time visitors like, making it difficult to create relevant offers.
The “basic” strategy is to present a list of best selling items store wide, in the hopes that you will surface what is important to them.
However, there are a number of proactive tactics you can implement to increase your success.