Dynamic Pricing
Optimize pricing strategies based on audience characteristics
35% of software buyers do not renew with a vendor because of pricing.
The Challenge:
Delivering a real-time, dynamic pricing model has become increasingly critical in an on-demand world, particularly as many vendors move toward consumption-based pricing and billing. Automating real-time and audience-based pricing is a ripe opportunity, but it also presents risks:
- Unifying the necessary data to make predictions is costly and time-consuming
- Bad data inputs can cripple even the most robust dynamic pricing strategy
- Customers may be alienated by price changes that seem random or unfair
A Better Way:
It is now possible to gain real-time insights into supply and demand so that pricing can accurately reflect ever-changing conditions. Improvements in data collection and analysis allow organizations to tackle dynamic pricing in today’s data-driven world.
Introducing FeatureBase
The Real-Time Database for Any Scale
FeatureBase is designed to deliver secure, fast, continuous access to all your data in a machine-native format. The first and most crucial step in leveraging big data for dynamic pricing is ensuring all of the data is accessible and ready for analysis..
Rather than the conventional approach of moving, copying, and preaggregating data, FeatureBase makes data immediately accessible, actionable, and reusable by extracting features from each underlying data source and storing them in a centralized access point. FeatureBase maintains up-to-the-millisecond data updates to enable real-time dynamic pricing with no time-consuming, costly preaggregation necessary.
Request a Consultation-
Contact us today to learn more about how Molecula FeatureBase can transform your business through eliminating preaggregation and unlocking real-time value.