Data integration pricing has been a black box for sales reps and end-users for the last 20 years: custom dev projects with widely varying pricing and deliverables. We have created the YuzeIndex™ to make it easy to align with customers on today’s key data requirements while using a framework that will also simplify future data and agentic AI discussions.
Basing the price of a solution on a structured index—like YuzeIndex—simplifies pricing discussions between customers and sales reps in several important ways:
Creates Transparency and Trust
A structured index provides clear, objective criteria for pricing, such as data complexity, usage levels, or feature sets. This removes ambiguity and helps customers see exactly how their needs translate into cost. When pricing is tied to consistent logic rather than negotiation tactics, it fosters trust and reduces skepticism.
Enables Faster Decision-Making
Customers often delay decisions due to unclear or fluctuating pricing. An index-based approach offers a predictable model, allowing buyers to quickly understand the cost implications of different schemas and operations. Reps can walk customers through pricing scenarios with confidence and speed.
Supports Scalable Growth
As new schema features are introduced, they can be incorporated into the index structure. This keeps the pricing model scalable and easy to update—so reps stay focused on value, not math.
In short, index-based pricing makes conversations more efficient, credible, and customer-friendly.
