eCommerce Fastlane

133: Get Real Time Shopping Experiences At Scale Powered By Amazon Personalize

EP133 HiConversion

Your Business Is A Journey.  Invest In Yourself Today.

Being an entrepreneur is a life of learning, implementing, and iterating. All it would take is a new idea, a strategy, a Shopify app, or a marketing platform to be the next thing you need to improve efficiencies, drive more revenue, and build lifetime customer loyalty for your Shopify brand.

I’d like to welcome Zee Aganovic, who is the Co-Founder and CEO of HiConversion. They are an eCommerce Intelligence platform that helps Shopify brands personalize and optimize online shopping experiences to maximize revenue from every visitor session.

Conventional product recommendations and personalization solutions in general, work best for returning shoppers and visitors that are likely buyers. Many Shopify brands are missing 90% of visitors whose preferences are not known and who remain non-buyers.

Today we’re going to learn how you can unlock the new revenue potential of that 90% of likely non-buyers by enabling your store to deliver a wide variety of personalized experiences to customers at scale.

What You Will Learn Today

  • A flaw in competing solutions that product recommendations based on the preferences of the existing buyers exist with non-buyers.
  • New technology with an active solution so the system is continually learning and adapting to live visitor actions and context.
  • Self-learning algorithms that adapt to visitor preferences in real-time to minimize the risk and maximize your revenue lift.
  • The benefits of leveraging Amazon Personalize to deliver a wide array of personalization experiences, including specific product recommendations, personalized product re-ranking, and customized direct marketing.

Links And Resources Mentioned

Tweetable Gold Nuggets

The HiConversion Recommend application for Shopify is designed to unlock the revenue potential for unknown web visitors who normally would never be buyers.Click To Tweet
Algorithmically launch product recommendations based on the same machine learning technology used at Amazon.comClick To Tweet

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Episode Sponsor: OMNISEND

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