The extent of e-commerce in our lives isn’t a minor deal anymore. Virtual browsing is so normal that you can easily go through tens of sites in a matter of an hour scouring for the best deals and the product you want. But where you decide from may not always be defined by price but a multitude of other reasons. Granify takes the guesswork out of converting virtual window shoppers into buyers for retailer sites.
Using big-data and their system of artificial intelligence Granify seeks danger points before your customers flock away, and instead inserts messages with contextual relevance to keep customers from bouncing away. The Canadian company that has been backed by strong venture capital firms automatically maximizes revenue for online retailers by identifying shoppers that aren’t going to buy and changing their minds — before they leave the site — by harnessing the power of real-time big data and machine learning.
With their house of data Granify assures 95% accuracy on determining e-commerce pain points—where visitors escape. When these danger areas do occur the messages pushed don’t always offer coupons or incentives but address other concerns customers may have. Sometimes that may be a simple reminder of return policies, or offering free shipping. With the goal to provide every e-commerce retailer with the same conversion performance as Amazon the platform without the costs of an expensive advanced technology that is too complex to use for the majority of online retailers.
Right now Granify is processing over 5.3 billion data points a month, and it’s able to do that by integrating easily with existing e-commerce stores. The company has already achieved $1.5 million in seed funding last year and is poised to gain greater market share as a big data retailer solution provider.