AI-Driven Real-Time Recommenders versus Standard Marketplace Recommenders
Why you need to take a step above the competition — and the best way to do it.
Online shopping is no longer a fad, it’s a lifestyle. What once amazed the online shopper has quickly become the norm and an expectation.
The same rules apply to any website when a new visitor arrives. They will decide within the first few moments of landing on your homepage as to whether it’s relevant, has any buying appeal, and if there are any incentives to buy.
Solution Providers such as PureClarity have taken ecommerce personalization to the next level.
To succeed in a highly competitive market, retailers both B2B and B2C need to stay at the forefront of new technology, allowing their customers a fantastic online shopping experience. Those retailers who do not adapt and adopt will soon find themselves at the back of the shelf when the time comes for shoppers to choose who to buy from.
So let’s take a quick look one of the key developments over recent years:the adoption of product recommendations.
We all know that Amazon built the foundation of this model back in the late 1990’s and it’s no secret that the world’s richest man, Jeff Bezos, has built his success on data-driven marketing. Surely the key to its success lies in effective ecommerce personalization.
Amazon has always been a company to watch and learn from. Now, other Solution Providers such as PureClarity have taken ecommerce personalization to the next level.
It’s become the norm to see recommendations on any major ecommerce platform website. What was once a leading tactic used to inform customers and introduce them to new products and brands has now become common practice and business as usual.
Standard recommenders, offered usually for free or a low cost, are commonplace plugins for ecommerce platform marketplaces. They allow businesses to have products displayed based on customers’ purchase history, however they do not change in real time as a visitor browses the site, so they quickly become irrelevant, redundant, and unengaging.
The trouble here is that many of the recommendations seen on websites are not only irrelevant but a little too bog standard.
Online shoppers may still see these recommendations, but they’re quickly becoming blind to them as there is little relevance.
Because they’re based on a restricted criteria, the recommendations do not always fit the bill of what the customer needs and is looking for. Standard and non-dynamic recommenders will have little impact on your conversion rate or your average order value.
Offering truly personalized AI recommenders can be a game changer. It’s time to up your game on your website while you still can. The pace of changes in customer expectations has never been as quick as it is today.
The Key Differences Between Standard Recommenders and AI Driven Recommenders
This chart highlights the huge number of features and advantages you receive by using AI-driven recommenders instead of the limited standard recommenders.
The more personalized and relevant a website throughout the whole customer journey, the more bang you will get for your buck when it comes to increased online conversion and average order value. Not only that, but you will see your customers come back time after time. I challenge any retailer to honestly tell me that’s not a priority for them.
Why Use PureClarity’s AI Recommender Engine?
PureClarity’s Big Data and Artificial Intelligence (AI) determines which recommenders are the most relevant to the visitor on each page of your website. The AI Recommender Engine orchestrates when and where on the page to present each recommender for maximum conversion.
PureClarity’s AI Engine profiles visitors’ current and past behavior and chooses the most appropriate and relevant recommender type to show to the individual. The AI is aware of the page in which it places recommenders and optimizes recommendations so that duplicate content is not shown.
- AI engine orchestrates the best recommendation strategy for each visitor
- PureClarity Cold Start feature works with sparse data sets
- Works 24/7 without any manual intervention
- The AI can evaluate which manual recommenders are on page to ensure no recommenders duplicated
- The AI engine presents recommenders in the best position on the most relevant page for maximum conversion
- Optimized for both B2C and B2B with different recommendation strategies depending on the profile of your customers
PureClarity AI Recommender Engine is part of a full package of personalization features which are absolutely free to try. Click here to find out more and try for free.
Originally published at www.pureclarity.com on January 22, 2019.
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