Though we aren’t at a “Westworld” level of human/AI interaction yet, advanced machine learning technology is already informing and enhancing the consumer experience, especially in retail. Using technology that is already available, here are three lessons retailers can learn from the HBO hit show.
If you ask an ecommerce professional to list the most important skills in their industry, writing may not be at the top of the list. But well-written copy is essential to the business, both for describing products and reaching out to customers.
In the B2B space, marketing automation is routinely used to customize messaging and campaigns, shepherding prospects through the sales pipeline largely on autopilot. At the same time, B2C marketing capabilities have kept pace and solutions are available today that use similar advancements in customer behavior intelligence advised by data. What exactly does marketing automation for retailers look like?
Operating from Philadelphia, Elite SEM’s Shopping & Feed Division manages a number of different services including Google Shopping and Bing Shopping, Data Feed Management, and Comparison Shopping Engines (CSEs) for clients that feature anywhere from a few thousand to tens of millions of products in online stores.
And the latest shiny object is a shiny button: Amazon Dash allows Amazon Prime members to pay an additional $4.99 per product to buy that product from Amazon without lifting a finger… except for that finger the customer uses to press the Amazon Dash button.
Data-driven, real-time marketing is a thing of beauty for retailers – but sometimes the technology can be too smart for its own good, as happened to Sears.
Retailers are encouraged to set up automated emails that are triggered throughout the purchase path and a post-purchase email series to extend engagement after an order has been submitted. But if you’re not careful, this is where you can begin to creep out your customers.