Most MSPs losing money on telecom invoicing aren’t charging the wrong rates. They’re not capturing all the usage. They’re not getting invoices out on time. And they’re not collecting on everything they’ve already billed. The gap between what customers used and what actually lands on an invoice is where revenue quietly disappears. When usage data flows automatically from carrier feeds into your billing platform and out to your accounting system, that gap closes.
The problem isn’t your rates
When an MSP notices a shortfall on telecom revenue, the instinct is to look at pricing. In most cases, the rates are fine. The problem is further back in the process.
Telecom usage data comes from carrier feeds in raw CDR (call detail record) format. If you’re pulling that data manually and feeding it into invoices by hand, a few things happen: it takes hours, it introduces errors, and anything that gets missed doesn’t get billed. You might not even know what you missed, because you’re working from a manual export rather than a live feed.
The result is invoices that go out late, invoices that undercharge, and invoices that customers dispute because the line-item detail doesn’t match what they expect.
Stale data costs more than time
The other part of the problem is timing. If you’re billing monthly against last month’s contracts, any changes that happened mid-month (new lines, cancelled services, usage spikes) don’t make it onto the invoice. You catch it next cycle, or you don’t catch it at all.
IT Voice, a managed IT and UCaaS provider in the US, saw this pattern directly. Once they connected their billing to live, up-to-date usage data, they recovered around $10,000 per month in collections they hadn’t been capturing before. Their billing wasn’t wrong. Their data just wasn’t current.
“We saw… something like $10,000 more per month in terms of what we were able to collect from customers with having the most up-to-date information on a monthly basis.” (Will Slappey, IT Voice)
What changes when the data flows automatically
When CDR data feeds directly into your billing platform rather than through a spreadsheet, a few things improve at once. Every billable event gets captured, not just the ones that made it into the export. Invoices go out on time because the data is ready when you need it. Disputes drop because the line-item detail is already in the invoice. And collections improve because accurate invoices get paid faster than disputed ones.
Business VoIP, a Minnesota-based VoIP provider, cut their manual data transfer time by 95%, from five hours to fifteen minutes per month. The time saving matters. But the accuracy improvement is what changes revenue.
The collections piece
Getting invoices out accurately is half the equation. Getting paid on them is the other half.
Charleston Telecom, a hosted VoIP and communications provider in South Carolina, described their billing setup as “an automated machine that runs itself.” 68% of their invoices are now paid automatically. It’s the result of connecting billing to a payment platform so the process runs without manual follow-up at every step.
The tools exist to close this loop completely: CDR processing to invoice, invoice to accounting system, accounting to payment collection. When data flows across all of those in one direction without manual handling, the leakage points close.
If you’re still building invoices by hand
Most MSPs who find they’re recovering revenue after switching to automated telecom billing weren’t aware they were losing it before. The invoices were going out. Customers were paying. But the numbers were lower than they should have been, and no one could point to exactly where the gap was.
If your billing process involves exporting CDR data, reformatting it, and manually building or updating invoices, it’s worth looking at what that process is costing you. Not just in hours, but in what’s not getting billed.
Not sure how much you’re leaving on the table? Talk to the Datagate team and we can walk through your billing process and give you a straight answer.
