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Behamics Is Saving More Sales By Predicting and Preventing Cart Abandonment

NEW YORK, NY / ACCESSWIRE / November 24, 2021 / Online shops everywhere can now make use of AI in predicting consumer behavior with Behamics to stop customers from slipping away at the last moment.

Getting Over Online Shopping’s Most Significant Hurdle

Cart abandonment is the largest problem that any online store faces. Consumers will fill their carts as they visit e-commerce shops, but 70% of those carts are abandoned without any successful sale. Behamics is providing a new way to turn these potential customers into successful conversions.

Conventionally, this problem has been addressed by providing discounts to customers that were about to abandon the cart or sending emails reminding customers about their abandoned carts. Unfortunately, this just isn’t working. Discounts can’t be provided all the time and to all customers as this leads to more losses in revenue and by the time the customer receives their email, they’ve moved on and made their purchase elsewhere.

Behamics, on the other hand, is proactive. It works throughout the shopping experience to prevent cart abandonment rather than simply reacting afterward or providing discounts to keep customers in store. Behamics implements AI analysis of user behavior to understand why they’re visiting that online store, what they’re looking for, and how to turn them into a successful sale.

There are many different reasons that consumers might abandon their cart, and Behamics identifies those reasons and takes pre-emptive action by displaying behavioral science based messages to support the customer’s decision while still shopping in the store.

Bringing Together the Latest in Advancements in Both Predictive and Behavioral Analysis

Behamics is an innovative solution that’s been put forward by the founders Valon Xhafa and Thilo Pfrang. Xhafa has an extensive background in AI, having a prior exit with one of his startups in the past and having developed his AI and predictive analysis working at Google. Pfrang is a PhD and expert in consumer behavior, having provided consulting services for businesses.

Together, they were able to combine their skills to create an innovative and effective solution to cart abandonment. Behamics uses predictive analysis to identify user actions and motivations and then uses the tenets of consumer behavior to prevent cart abandonment.

The tool is provided under a business model that allows shops of any scale to implement Behamics. The versatile tool can be implemented on multiple e-commerce platforms with simple plug-and-play configurations.

Behamics Is Getting Great Results for All Kinds of Online Businesses

Online shopping has created a massively one-sided shopping experience. Rather than visiting a conventional store where employees can provide a guided experience or at least answer questions, online shoppers are all on their own.

When they visit an online store, they have to browse through pages upon pages to find what they’re looking for. Behamics is changing this, providing a more effective two-way interaction between the online shop and the consumer.

Based on the habits of the user as they visit the online store, Behamics will provide helpful messaging that will guide them toward the products they’re really looking for, even if they don’t know it yet. This strategy is showing great results for businesses of all kinds.

Behamics isn’t only improving cart abandonment but also reducing the number of refunds that shops face. Consumers are actually getting what they’re looking for, so they don’t have to return what they buy. Behamics is providing a comprehensive solution that leverages AI to both increase conversion and reduce product returns.

Contact:

Company Name: Behamics
Contact Person: Valon Xhafa
Address: 750 Lexington Ave, New York, NY, 10022
Phone Number: +1 917 637 0631
Website Link: https://behamics.com

SOURCE: Behamics

View source version on accesswire.com:
https://www.accesswire.com/674632/Behamics-Is-Saving-More-Sales-By-Predicting-and-Preventing-Cart-Abandonment

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