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2017-12-13

Checkealos 4YFN Pitch the press – Customer feedback insights

  • Checkealos 4YFN Pitch the press – Customer feedback insights
    • Introduction
    • Focus on Customer Needs
    • Collaboration with Companies
    • Technologies Used
2 minutes

Checkealos 4YFN Pitch the press – Customer feedback insights

Checkealos is a cutting-edge platform that helps companies collect and analyze customer feedback and behavioral insights. With advanced machine learning and natural language processing technologies, Checkealos enables businesses to improve user experience across mobile apps, websites, ecommerce, and games. Trusted by major companies like Accenture and Kagami, Checkealos empowers clients to drive higher revenues and customer satisfaction by making data-driven decisions. Discover how investing in customer experience can provide a significant return on investment and prevent costly mistakes in the future.

Introduction

0:01 – I’m the co-founder and CTO of Checkealos 0:06 – Checkealos is a one-stop shop online platform for getting all the customer feedback and behavior feedback insights, whether you’re building a mobile app, a website, ecommerce, a game, and so on.

Focus on Customer Needs

0:25 – We’ve been using a lot of outsourcing to get feedback, but it’s focused on our customers’ needs so that they could gain more trust, more revenues, and improve their bottom line, reducing unnecessary effort in their customer interactions. 0:46 – Today’s customers expect fully persuasive and engaging experiences on a functional app or website. They will not give you a second chance if you fail to meet their expectations.

Collaboration with Companies

0:55 – We work closely with our customers, such as Kagami, Spanish Command, Accenture, and many startups, to help them. For every $1 they invest with us to improve customer needs, they can get $100 in return. 1:11 – Another thing we emphasize is that for every $1 they don’t invest, they will spend 10 times more later, at a point where it will be much more expensive to correct the issues.

Technologies Used

1:22 – We use machine learning and natural language processing to analyze large amounts of data at scale and provide a realistic chance for differentiation through insights.

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