From One Question to a New Feature: The Implied Value Table
One of the benefits of working with early pilot customers is that they don’t just use the product—they push it.
Recently, one of our pilot clients raised a simple but important question:
“We have contracts where the value is bundled. How do we understand what each piece is actually worth?”
It’s a common situation.
A contract might have a single top-line value, but underneath that number are multiple components:
- Sponsorship assets
- Media placements
- Service deliverables
- Performance-based elements
Individually, each piece has value.
Collectively, they’re often only presented as a single number.
From an operator’s standpoint, that creates a gap.
You can’t easily answer:
- Which parts of this agreement are driving value?
- Are we overpaying for certain elements?
- Where are the real returns coming from?
So we built something to address it.
Introducing the Implied Value Table
The Implied Value Table allows users to break a contract down into its component parts and assign estimated values to each.
It’s not about changing the contract. It’s about understanding it.
By assigning values at a more granular level, operators can:
- Model the true economics of an agreement
- Compare value across contracts
- Identify underperforming or overperforming components
And importantly, this data doesn’t live in isolation.
It feeds directly into the Accordable Intelligence Center.
From Documents to Decisions
Once these values are structured, they become part of the broader contract intelligence layer.
That means you can begin to ask questions like:
- Which contracts are delivering the highest implied return?
- Where are we over-indexed on low-value deliverables?
- How does value distribution vary across partners or categories?
These are questions that don’t exist at the document level.
They only become possible once the contract is translated into structured data.
Built With Operators, Not For Them
This wasn’t on the original roadmap.
It came directly from a pilot conversation.
That’s been a consistent pattern so far:
- A real-world operating question surfaces
- We translate it into a structured capability
- The platform becomes more useful for the next operator
The Implied Value Table is one example of that loop in action.
Still Early, But Getting Clearer
We’re still early in building Accordable.
But moments like this help clarify the direction.
This isn’t about managing contracts.
It’s about helping operators understand the business reality those contracts represent.
And then giving them tools to act on it.
If you’re working through similar questions in your business, we’d be interested in comparing notes.