Conversion Rate Optimization: Predictive and Personal

Let’s be honest about most eCommerce experiences today, they suck. The minute we land on a page we are hit with a pop up requesting our email and then our cell phone. Sometimes we get the wheel of fortune which has no relevance at all. Even if we X out of these pop ups, we get them on the next page. Even more ignorant is when we are a registered user and we get pop ups while logging in. I understand that this is all being done so that brands can mitigate their acquisition cost and continue to message me for far less than advertising, but at what expense? There is a better way and brands need to learn this ASAP or they won’t be around long. They need to imagine that their website is a physical store and the browser entering is a real person. Treat them with respect. Learn something about them through their behavior and then treat them in a way that makes them want to do business with you. The technology exists to do this effectively without causing unnecessary friction. This podcast discusses how so if you manage eCommerce experiences for a brand, this is a must listen.

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Metrical helps brands predict customer behavior and optimize conversion rates. They focus on providing a better customer experience and increasing profitability. Brands often use annoying tactics like pop-ups and gamification, which can backfire and frustrate customers. The increasing competition in the market has led to desperate measures by brands. Collecting email addresses is valuable, but brands need to be more intelligent and considerate in their approach. Metrical offers intelligent engagement and customized experiences to drive conversions. They work with large apparel and accessory brands that are discount-dependent. A case study with JCPenney’s showcases how Metrical’s machine learning capabilities have increased conversion rates and profitability. They deliver the right content at the right time to engage customers effectively. In this conversation, Zabe Agha and Rameet Kohli discuss the value of testing alternative customer acquisition methods and the effectiveness of financial messaging. They also explore how Metrical uses AI and machine learning to predict user behavior and personalize campaigns. The conversation highlights the importance of measuring incrementality and ROI, as well as leveraging user reviews with AI. They discuss the success of Metrical’s pilots and provide insights into getting started with the platform. Finally, they share their future plans for expanding into different industries.

Takeaways

Chapters

Pop Ups Suck

Brands are Acting Desperate

Brands can Learn from B2B Marketers

Retailers are Getting in Their Own Way!

$75 MM and Up…

Better Ways to Entice Shoppers

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Takeaways

Metrical helps brands predict customer behavior and optimize website experiences.
They provide personalized and customized experiences to increase conversion rates and profitability.
Pop-ups and discounts can be annoying and ineffective, and Metrical offers a more intelligent and targeted approach.
They have had success working with large apparel and accessory brands, such as JCPenney, and have achieved significant increases in conversion rates. Metrical focuses on delivering the right content at the right time to increase conversion rates for retailers and brands.
They use machine learning models to analyze clickstream data and make predictions about user behavior.
A/B testing and measuring incrementality are used to demonstrate the value of Metrical’s solution.
Metrical plans to expand into other industries and cover every step of the customer journey.

Chapters