Hard to access
The data sits in processor portals and partner reports that were never designed for you to analyze.
13 bps
Of hidden savings found at a home-health SaaS platform processing $1B+
The ISV Channel
Your Fastest-Growing Revenue Line Has The Least Reporting Behind It.
Payments has quietly become one of the largest and fastest-growing lines on your P&L. And there is still no way to actually report on it.
The same platform that has a real-time dashboard for every subscription metric, MRR, churn, expansion, retention, is running one of its biggest revenue lines on a spreadsheet and a prayer. The data lives in processor portals, partner statements, and workbooks stitched together by someone who no longer works there. The bigger the line grows, the more the visibility gap costs. That is the paradox, and it is fixable.
You put AI in your product. Straata is the off-the-shelf AI for your payments data, the revenue line the dashboard never covered.
Where The Method Has Run
Home-Health SaaSEvents PlatformFundraising SaaS$2.3B+ Processed
The Mechanics
Three Stacked Problems Keep The Line Dark.
The conventional fix is a senior payments hire: $400-600K fully loaded, six to twelve months to land, and even a great one works alone from what they have personally seen. Payments leaders inside software companies are left on an island.
Hard to normalize
Every processor speaks its own format. Blended rates, buried fees, and mismatched MIDs defeat the quarterly spreadsheet project.
Hard to interpret
Even clean data needs benchmarks. Is 38 basis points of processor margin normal? Is your take rate underpriced? Against what?
The Promise
The Mature Payments Function, Delivered As A Service.
Blended Take Rate, Normalized
Illustrative / De-identified
Interchange
168 bps
Network Assessments
13 bps
Processor Margin
38 bps
Platform Margin
71 bps
Merchant-Facing Rate
290 bps
Every processor speaks its own formatOne normalized rate the whole team can read
If you have a payments lead
Straata gives them a department overnight: normalized data, benchmarks, diagnostic machinery, and execution capacity behind their judgment.
If you do not
A dedicated payments operator delivers the outcomes a full team would, from correctness answers to renegotiations to ongoing ownership, without the twelve-month hiring cycle.
Either Way, It Starts With Evidence
See The Payments Diagnostic →
The paid Payments Diagnostic reads your files and returns a report card on payment correctness before you commit to any follow-on work.
Platforms We Have Worked With
Chances Are, We Already Know Your Vertical.
We have run this playbook across software platforms in healthcare, accounting, retail, hospitality, nonprofit, travel, and field services. The pattern travels. The specifics are always yours.
Healthcare & Wellness
Accounting & Professional Services
Retail & Point Of Sale
Hospitality & Events
Faith & Nonprofit
Travel & Mobility
Field & Specialty Services
Patterns, Not Names
What This Looks Like When It Works.
Take Rate By Cohort, Benchmarked
Illustrative / De-identified
| Merchant Cohort | Volume, Yr | Take Rate | Benchmark | Opportunity | Status |
|---|---|---|---|---|---|
| $20.0M | 205 bps | 255 bps | +50 bps | Underpriced | |
| $10.0M | 185 bps | 180 bps | 0 bps | On Market | |
| $30.0M | 245 bps | 245 bps | 0 bps | On Market | |
| $8.0M | 160 bps | 205 bps | +45 bps | Underpriced | |
| $12.0M | 200 bps | 235 bps | +35 bps | Underpriced | |
| Repricing Opportunity | Annualized, underpriced cohorts only | $178K | Recoverable | ||
Which merchants lose you money, named with the number attached
Cost Saved
Take Rate
+23%
Take rate lift at an events platform on $800M of volume
Take Rate
+40%
Take rate lift at a fundraising SaaS platform on $500M of volume
Different platforms, same method: normalize the data, benchmark it against everything we have collectively seen, then execute the levers in order of value. Results published as patterns, never as named clients.
The First Read
Start With The Questions You Cannot Answer Today.
01
What is your actual blended take rate?
02
Which merchants lose you money?
03
Did last month's payments revenue move because of volume, mix, or rate?
Most platforms we work with cannot answer these without a week of spreadsheet work. Some cannot answer them at all.
Book A Call →
One path. Bring the files you have; the first read tells you what they can prove.