What 100 billion OpenAI tokens really mean for Clootrack customers

When OpenAI announced its “Tokens of Appreciation” program, it created clear milestones for builders running serious workloads on its API: 10 billion, 100 billion, and 1 trillion tokens processed, each recognized with a physical award. Crossing these thresholds puts you in a relatively small group of roughly 140+ organizations worldwide that are using AI not as an experiment, but as core infrastructure. 

Clootrack customers have now crossed the 100 billion token mark – earning us the black OpenAI token. 

That represents an extraordinary volume of customer conversations, reviews, and tickets analyzed through our platform. Industry examples suggest that even 10 billion tokens can correspond to tens of millions of book pages; 100 billion is an order of magnitude beyond that. This isn’t casual experimentation. It is evidence that AI-native Voice of the Customer (VoC) can operate at true enterprise scale.

For us, this milestone marks the culmination of a deliberate shift we began over a year ago, when we migrated our unsupervised thematic analysis engine to OpenAI. 

That meant rethinking how we detect themes, sentiment, and “jobs to be done” from raw feedback, while delivering 98% analysis accuracy, covering 55 languages, traceability back to source, and the governance controls large enterprises require.

In February, we layered on our Agentic Workflow Builder for VoC analytics. Instead of static dashboards, teams can now deploy VoC AI agents that watch every interaction stream, explain why KPIs are moving, and recommend what to do next - whether that’s a UX fix, a packaging change, a new playbook for call center agents, or a targeted retention offer.

The impact has been tangible across industries. Customers use Clootrack to:

• Cut ecommerce returns by double digits.
  
• Lift NPS within a quarter.
  
• 3X product development speed by routing insight directly into roadmaps.
  
• Identify high-intent leads and route them into CRM and sales workflows.
  
• Reduce call center agent churn by 10–20%.
  
• Cut AHT by 10–15% while improving containment.
  
• Reduce investment diligence cycles by over 23 days.
  
• Understand why customers churn, and what jobs each SKU or service is actually doing for them.
  

Behind the scenes, reaching 100 billion tokens took more than flipping a switch. It required 12+ months of iteration on algorithms, product design, dev processes, and even team structure. We hit walls almost every day. 

The non-negotiable was simple: if it wasn’t enterprise-grade in accuracy, scale, security, and reliability, it didn’t ship. This recognition shows it really stuck with our enterprise customers!

Research consistently shows a large gap between organizations that “use or pilot” AI and those that actually generate tangible value at scale. 

Crossing 100 billion tokens is our signal that Clootrack - and our customers - are firmly in the second camp. It reflects the trust enterprises place in our platform to power critical CX, product, and investment decisions, and the responsibility we feel to keep raising that bar.

Massive kudos to the entire Clootrack team and to every customer who chose to build AI-native VoC with us. If you’re exploring how to bring similar, agentic AI capabilities into your own customer feedback stack, get in touch now! 

FAQs

^{1. What is an OpenAI token, and why does crossing 100 billion matter?}

A token is a small unit of text processed by OpenAI’s models (pieces of words, punctuation, etc.). Crossing 100B+ tokens means enterprises have run an extremely large volume of real customer conversations, reviews, and tickets through Clootrack. It’s a signal of sustained, production-grade usage of AI for voice of the customer analytics, not an experiment or pilot.

^{2. How does this milestone translate into value for Clootrack customers?}

The more high-quality feedback our VoC AI analyzes, the better it becomes at discovering nuanced themes, intent signals, and churn drivers. At 100B+ tokens, customers benefit from highly trained, field-tested workflows that have already helped reduce returns, improve NPS, cut AHT, accelerate product development, and shorten diligence cycles.

^{3. How does Clootrack use OpenAI while keeping data secure and compliant?}

Clootrack uses OpenAI as a secure inference layer within an architecture designed for enterprise governance. Customer data is processed under strict contractual, access, and residency controls; outputs are stored with full traceability, and no customer data retained in models or used to train public models. The result is OpenAI-level performance with VoC-specific guardrails.

^{4. If we already use OpenAI directly, why do we need Clootrack?}

Using the raw API still leaves you to solve domain modeling, pipelines, UX, permissions, monitoring, and Voice of Customer ROI tracking. Clootrack sits on top of OpenAI with an unsupervised VoC engine, agentic workflows, and pre-built best practices for CX, product, and investment teams, so you get production-ready, business-facing outcomes instead of a collection of custom scripts.