How well can you map your MT and AI spend to the value it’s creating? You already know what that spend costs. What’s harder is connecting it to what your company actually cares about: whether a market grew, whether a campaign drove revenue, whether the investment was worth it.
Phrase Data closes that gap now. It puts your localization cost, usage, and quality data at your fingertips, so you can export it, connect it to the business results you already track, and show exactly what your spend is delivering.
Here’s what’s now possible with Phrase Data:
- See your MT and AI spend. New usage tables connect cost and consumption to the exact project, market, workflow step, and engine behind them, instead of one running total.
- Built for accuracy. A rebuilt pipeline with automated quality checks and daily snapshots means the data is reliable enough to build a real business case on.
- Get the full picture. Quotes and quality data now reflect your actual role on a project, translation provider, review provider, or owner, not just what one person happened to set up.
Cost and performance, side by side
Take a global product launch. Marketing localizes the campaign for five markets. Three months later, one market outperforms, one flops, and everyone wants to know why. You already know what each market’s localization costs. You’ve never been able to see, in the same place, how each market actually performed, because that data lives in your marketing dashboard, not in Phrase.
MT_USAGE_V2 and AI_USAGE_V2 change that. Export your localization costs broken down by project, market, and workflow step, and load it into whatever BI tool or warehouse already holds your performance numbers. Now you can put the two side by side, market by market, and see whether the market that performed best also cost more to localize, or whether cost had nothing to do with it.
MTU data has been available in some form for a while. This release adds full AIU (AI Unit) export for the first time, at the same level of detail, so both are ready to export together.
Built for accuracy
None of this is worth much if the data can’t be trusted. Automated quality checks now run on every pipeline update, and a snapshot of exactly what was published is kept for every day since launch.
If you’re the person who maps localization data into your company’s BI tool, you know what it’s like to defend a number months later, in a meeting you didn’t see coming. Before this release, the honest answer was often “let me look into it and get back to you.” Now you can say exactly what the data looked like on that date.
Get the full picture
Access to quotes and quality data used to depend on who set up the project. If a colleague configured the workflow, you might not have seen the quote or quality score for work happening on your own account. Now access follows your actual role: translation provider, review provider, or owner. Pull quote and quality data for any vendor work on your projects, whether or not you were the one who set it up.
Want the full story?
Every schema and column change is documented in our Help Center. If you would like to explore Phrase Data for your team, reach out to your CSM or our Sales team.
