Create powerful, highly personalized offers at the precise moment they will be most effective.

If you can’t make real-time personalized offers, you lose the opportunity to make them at all.


The average customer or subscriber now makes decisions in a little more than the blink of an eye.


5G has raised the bar on latency, allowing for fast data decisions in single-digit milliseconds.


The built-in latency of legacy architectures means personalization decisions cannot occur in true real time.

Your (shortening) window of hyper-personalization opportunity

Whether you’re in gaming, telecommunications, retail, finance, or any other industry where being able to present the right offer at the right time is essential for success, you’re probably struggling to keep up with the rapidly changing data landscape.

The idea of “low latency” isn’t even close to what it was just a few years ago. And with things like 6G coming soon, the demands being placed on your tech stack, due to the incredible increase in data volumes, are becoming massive. This type of environment requires a new type of data platform, one that can meet the demands of processing data at extreme low latency while still being able to support scalability, consistency, and accuracy.


Why Your Hyper-Personalization is Subracting Value

3 ways your  “hyper-personalized” messages are hurting your brand’s reputation and creating customer churn:

  1. harming your signal-to-noise ratio
  2. ruining the customer experience
  3. making you miss opportunities to generate revenue

What can you do to improve hyper-personalization?

Volt Active Data — the only data platform built for sub-10 millisecond personalization decisions

A powerful hyper-personalization data platform increases ARPU by presenting offers of value to customers when they are most open to an offer.

Traditional hyper-personalization engines are too slow to produce offers within the small but critical window of opportunity for success. There are many factors that go into presenting a real-time offer (ie, recognizing the opportunity, deciding what to do, building the offer, sending it back, and rendering it on the screen). It’s obvious that the critical part of that process —deciding whether to make the offer and what offer to make— must be done in the shortest time possible. In fact, customer use cases have proven that this must happen in less than 10 milliseconds.

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