DataOrb

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Enhance customer experience, empower agents, and drive growth with DataOrb - the advanced AI tool revolutionizing contact center operations.0
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What is DataOrb?

DataOrb is an advanced AI tool that revolutionizes contact center operations and customer experience processes. It empowers teams with deep customer insights, enabling them to enhance performance, safeguard brand reputation, optimize agent performance, boost sales effectiveness, and prevent customer churn.

Key Features:

  • Customer Insights: Gain AI-powered guidance on skills required to deliver exceptional experiences and reduce customer friction points.
  • Brand Perception: Monitor brand perception across channels, proactively addressing issues related to brand promises, digital experiences, and policies.
  • Agent Performance: Analyze agent performance against brand values, identifying areas for improvement and ensuring effective coaching.

Use Cases:

  • Improve customer satisfaction by identifying and addressing key issues in resolution rates, customer sentiment, and contact center volume.
  • Empower agents to excel by providing data-driven, constructive feedback based on customer context and agent actions.
  • Optimize self-service, resolve product issues, refine policies, and boost win rates while balancing customer loyalty and operational costs.

Conclusion:

DataOrb is a powerful tool that helps businesses enhance customer experience, improve agent performance, and make data-driven decisions. With its AI-powered insights and guidance, DataOrb helps organizations achieve lasting growth and success.


More information on DataOrb

Launched
2020-04
Pricing Model
Contact for Pricing
Starting Price
Global Rank
8841016
Follow
Month Visit
<5k
Tech used
Google Tag Manager,Squarespace,Google Fonts,JSON Schema,OpenGraph,HSTS

Top 5 Countries

83.68%
16.32%
India France

Traffic Sources

3.28%
1.35%
0.12%
23.29%
44.59%
27.23%
social paidReferrals mail referrals search direct
Source: Similarweb (Sep 24, 2025)
DataOrb was manually vetted by our editorial team and was first featured on 2023-07-09.
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