Hyper-Personalization
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.


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


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


TRADITIONAL DATABASES ARE FAILING
The built-in latency of legacy architectures means personalization decisions cannot occur in true real time.
Case Study: Flytxt
Flytxt, a pioneer in marketing and AI technology, selected Volt Active Data to support their customer lifetime value management solutions for subscription- and usage-based businesses within the telecom, banking, utilities, media and entertainment, and travel sectors.
Read our case study to learn why Flytxt CTO Prateek Kapadia recognizes Volt as a key technology enabler for driving significant value for them and their customers.
Case Study: Comviva
Mahindra Comviva, a global leader in telecom customer engagement, uses Volt Active Data to power real-time personalization for more than 95 million subscribers and over 1.5 billion daily events. Their Mobilytix platform relies on Volt to maintain always-current customer state, deliver next best actions in under 250 milliseconds, and orchestrate hyper-personalized offers across SMS, USSD, apps, and digital channels.
Read our case study to see how Comviva achieves national-scale engagement, dramatic revenue lifts, and major churn reduction by using Volt as the real-time engine behind Mobilytix.
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.



