73% is the average. Here's the full picture — because the distribution matters as much as the headline.
Not a projection. Not a target. The measured result across 100+ home care agencies using CareBravo — all without adding back-office staff. These are the numbers.
73% is the average. Here's the full picture — because the distribution matters as much as the headline.
Each case study below will tell the full story: starting point, timeline, specific results, and what changed operationally. Real agencies. Real numbers. Their words, not ours.
A detailed proof story with specific shift counts, revenue change, timeline, and owner quote. We publish only verified numbers from agencies who've given permission to share their results.
A different agency size and payer mix — showing the result isn't limited to one type of agency. Same rigor: verified numbers, specific metrics, the owner in their own words.
A higher-volume agency with a different payer mix and geography — proving the model at scale. When ready, each case study will include a one-sentence summary you can verify.
Nine operational functions — scheduling, EVV, billing, payroll, CRM, documentation, hiring, training, and project management — delivered as completed work. The capacity most agencies can't afford to build is delivered pre-built.
When operational work is delivered at every volume level, taking on more clients doesn't require more people to handle the operational load. Revenue grows. The cost of operations stays flat.
When claims process continuously — verified, validated, and submitted as visits are completed — the time between completed visit and received payment compresses. Cash flow becomes more predictable.
73% isn't a feature benefit. It's the measured result of what happens when an agency gains access to operational capacity it couldn't previously afford to build. The functions do the work. The agency focuses on care and growth.
You've seen the aggregate. You've seen what the numbers look like across 100+ agencies. The next step is seeing what they'd look like for your specific size, payer mix, and volume.
73% is the average across 100+ agencies of varying sizes and payer mixes. Some grew more, some less. The consistent factor: none added back-office staff to achieve it. Growth depends on your market, payer mix, and how aggressively you pursue new clients once you have the operational capacity to serve them. A demo can show you results from agencies similar to yours.
Agencies typically see operational time savings within the first month as scheduling, compliance, and billing are delivered as completed work. Revenue growth follows as that freed capacity allows agencies to take on more clients. The timeline varies by starting volume and growth pace — ask during your demo about results for agencies at your volume level.
The 73% average includes agencies across the size spectrum — from smaller operations scaling past 200 shifts per month to established agencies managing 1,000+ shifts. The nine pre-built functions deliver the same operational capacity regardless of starting volume.
Agencies in the 100+ base include Medicaid-primary, VA, private pay, and mixed payer operations. CareBravo processes billing across all payer types with payer-specific rules applied automatically.
Yes — when the operational work that traditionally requires more people at each volume threshold is delivered as completed work instead. Scheduling, EVV compliance, billing, payroll, and five other functions are delivered at every volume level. The agencies in the 73% average maintained flat or decreased admin headcount while growing revenue.
It means the agencies that achieved 73% average revenue growth did so without hiring additional operational staff. Their back-office headcount stayed flat or decreased while revenue grew — because nine operational functions were delivered as completed work by CareBravo.
We'll walk through the results for agencies like yours — same size, same payer mix, same market. Then we'll show you how each function works and what it means for your revenue and your team.