Griff Parry

And for the most part, our customers are already committed to tooling in their Quote2Cash stack and we absolutely don't want them to rip it out.

We just want it to work the way it needs to.

Now they're using these slightly different pricing approaches and effectively we're helping them modernize their Quote2Cash stack.

So SIFT is a good example.

So if you know SIFT, they used to be called SIFT Sciences.

They're a great business and they're doing fraud detection for online retail effectively.

And the core metric that they charge against is based around APIs.

So they have naturally usage-based pricing.

But they have big customers and their big customers want quite a high degree of predictability.

So a lot of their deals involve minimum commitments, which includes certain allowances and sort of discounted rates above those allowances, that kind of thing.

So that's a typical pattern that we would cater for.

And we need, as a meter, as a business, we need to...

integrate with whatever their source of truth for product usage data is.

And if it exists already, we'll take from there.

If it doesn't, then Meta itself can act as that source of truth.

And we also need to integrate with their source of truth for account data and for pricing data.

So again, we integrate wherever that currently sits.

And what we're doing is pulling the product

usage, the pricing and the account dates together and processing it.

And what you're spitting out is bill amounts.