Personalized product recommendations are a key feature for increasing revenue for both B2B and B2C businesses. And the good news, you no longer need an Amazon-sized IT budget and a team of data scientists and developers to deliver personalized product recommendations. Instead, all you need to begin your journey is the right software or extension and some basic knowledge.
While personalized product recommendations are proven to drive success, a large number of websites don’t use them at all. And many of the websites that do use recommendations manage them manually, hand-coding lists of top sellers on the home page and in other key locations.
We want to prove to businesses not using product recommendations today that they are worth investing in, and showcase the many types of product recommendations that can be implemented across their websites. For those who do, we want to show methods for making the process/operations easier, more automated and more intelligent, and showcase our platforms capabilities. Overall, we want to prove that product recommendations directly lead to increased revenue.
Featured stats:
- 35% of Amazon's revenue are the result of product recs
- 320% is how much personalized product recommendations can increase conversion rates
- 60% of consumers now say they will likely become repeat buyers after a personalized shopping experience with a retailer
