RaaS Examples: 12 Companies Already Selling Results Instead of Subscriptions
Real companies using Results as a Service pricing in 2026 — from Salesforce at $2/conversation to creative agencies charging per winning ad. Includes pricing, model structure, and what makes each example work.
Results as a Service is not a theory. Real companies are using outcome-based pricing right now — and in many cases, outperforming their subscription and retainer-based competitors. Here are 12 examples across industries, with actual pricing structures and what makes each model work.
AI Customer Support
1. Salesforce Agentforce
Model: Per-conversation pricing Price: $2 per AI agent conversation What counts as an outcome: Any customer interaction handled by the AI agent, whether resolved automatically or escalated to a human
Salesforce launched Agentforce in late 2024 as its answer to the SaaS pricing crisis. Instead of charging per seat (which punishes companies for automating), they charge per conversation. A company handling 10,000 support conversations per month pays $20,000 — less if volume drops, more if it grows.
Why it works: Salesforce’s AI handles conversations at near-zero marginal cost. The $2 price point is significantly below the cost of human support ($15–$40 per interaction), making it a clear win for the client. Salesforce profits because their infrastructure cost per conversation is well under $2.
2. Zendesk AI
Model: Per-resolved-interaction pricing Price: $1.50 per resolved interaction What counts as an outcome: A customer support ticket resolved by the AI without human intervention
Zendesk went further than Salesforce by tying pricing to resolution, not just conversation. You pay only when the AI actually solves the problem. Conversations that escalate to humans do not incur the per-resolution fee.
Why it works: The client pays only for successful automation. The incentive for Zendesk is to improve their AI’s resolution rate — which directly aligns with the client’s goal of reducing support costs.
3. Intercom Fin AI
Model: Per-resolution pricing Price: $0.99 per resolution What counts as an outcome: A customer query resolved by the AI agent without human handoff
Intercom positioned Fin as the most affordable AI support agent by undercutting on per-resolution price. At $0.99, even small businesses can justify the cost versus hiring support staff.
Why it works: Low price point reduces adoption friction. Intercom bets on volume — millions of resolutions across thousands of customers creates substantial recurring revenue even at sub-dollar pricing.
AI Agents and Automation
4. Sierra AI
Model: Outcome-based agent pricing Price: Variable per-outcome (customized per client) What counts as an outcome: Defined per deployment — could be a completed transaction, a resolved inquiry, or a successful recommendation
Sierra, founded by former Salesforce CEO Bret Taylor, builds AI agents for enterprises. Their pricing ties directly to what the agent accomplishes, not the number of seats or API calls.
Why it works: Enterprise clients buying AI agents want outcomes, not technology. Sierra’s model means the client never overpays for an underperforming agent — and Sierra is incentivized to continuously improve agent performance.
5. Pickaxe AI
Model: Per-interaction pricing Price: From $0.01 per interaction (volume-dependent) What counts as an outcome: Each successful AI agent interaction — form completion, recommendation delivered, question answered
Pickaxe enables businesses to build custom AI agents and charges per interaction. The pricing scales with usage, making it accessible for small businesses and profitable at enterprise scale.
Why it works: Low per-unit pricing removes the upfront investment barrier. Businesses start small, see results, and increase usage. Pickaxe’s revenue grows in direct proportion to the value their agents deliver.
Creative Production and Marketing
6. Performance-Based Ad Creative (OKAD Model)
Model: Base plus performance / tiered results Price: Base production fee + $200–$500 per winning ad creative What counts as an outcome: Ad creative that beats the client’s CPA benchmark within a defined measurement window
When OKAD produces ad creative for DTC brands, the model increasingly ties compensation to what the ads achieve. The production systems that make this viable include the Hook Swap System (30 ads/day from proven hook × new footage combinations), zero-shoot re-edits (80+ variations from existing footage), and AI-assisted visual production ($700 for 40+ product images vs $3–8K for traditional photography).
Why it works: Modular production systems reduce marginal cost per ad to near zero after the first shoot. Producing 60+ variations from one footage set means each additional variation costs almost nothing — so the agency can afford outcome-based pricing because winners far exceed their production cost.
Real data points:
- Swiss skincare brand: ~30 ads/day production rate
- ZenToes Walmart launch: 60+ variations from existing footage
- Five brands re-edits: 80 ads, zero new shoots
- Longevity supplements: 68 ads, EUR 183 CPA achievement
7. Content Performance Pricing
Model: Per-result content pricing Price: Base writing fee + bonus per ranking achieved or traffic milestone What counts as an outcome: Article ranking in top 10 for target keyword, or exceeding a traffic threshold within 90 days
Some content agencies now tie pricing to SEO performance. The writer receives a base fee for production, plus a bonus when the content achieves its ranking or traffic target.
Why it works: Content is measurable — rankings and traffic are verifiable. The lag time (60–90 days for SEO results) is manageable with quarterly true-up billing. Writers who understand SEO earn significantly more than those who only write well.
Recruitment
8. Outcome-Based Recruiting
Model: Pay per successful hire Price: 15–25% of the hired candidate’s first-year salary What counts as an outcome: Candidate hired and retained past the probation period (typically 90 days)
This model has existed in recruitment for decades — making it one of the oldest forms of RaaS. Modern platforms like Hired.com and Turing have refined it with technology, reducing the cost per placement while maintaining the outcome-based structure.
Why it works: Hiring is a high-stakes, clearly measurable outcome. The client pays nothing for candidates who do not work out. The recruiter is incentivized to find quality matches, not just volume.
Logistics and Delivery
9. Per-Delivery Logistics
Model: Pay per successful delivery Price: Variable per delivery based on distance, weight, and speed What counts as an outcome: Package delivered to the destination within the agreed timeframe
Companies like Uber Freight, Convoy, and GoShare charge per completed delivery, not per truck-hour. The client pays for the result (package moved from A to B) not the input (driver time on the road).
Why it works: Delivery is binary — either the package arrives or it does not. GPS tracking provides indisputable measurement. Routes can be optimized algorithmically, reducing the provider’s cost per delivery without reducing the client’s price — pure margin improvement.
Legal Technology
10. Per-Document Legal AI
Model: Per-document processing Price: $1–$50 per document depending on complexity What counts as an outcome: Document reviewed, contract analyzed, or compliance check completed
Companies like Kira Systems, LawGeex, and ContractPodAi charge per document processed by their AI. A contract review that would cost $200–$500 in lawyer hours costs $5–$15 with AI — and takes minutes instead of hours.
Why it works: Legal document processing is highly repetitive, making AI extremely efficient at it. The price per document is a fraction of the human alternative, creating clear value for the client while maintaining strong margins for the provider.
Consulting
11. Value-Based Consulting
Model: Base engagement fee + gain share Price: Reduced project fee + 5–15% of measured value created What counts as an outcome: Revenue increase, cost reduction, or efficiency gain attributable to the consulting engagement
Firms like McKinsey’s QuantumBlack and several boutique strategy firms offer gain-share structures where their compensation ties to the business impact of their recommendations.
Why it works: High-value consulting engagements create measurable business impact. When a recommendation generates $10M in savings, a 10% gain share ($1M) is both justified and significantly above what a time-based fee would have been. The client is happy because the 90% they keep is pure value.
SaaS Transitioning to RaaS
12. Usage-Based SaaS Pricing
Model: Pay per unit of value consumed Price: Variable per API call, per user action, or per outcome What counts as an outcome: Defined per product — could be an API call that returns useful results, a completed workflow, or a processed transaction
Companies like Stripe (2.9% per transaction), Twilio (per-message pricing), and AWS Lambda (per-invocation) have operated on usage-based models for years. The newer evolution: pricing per valuable outcome rather than per API call. Stripe does not charge for failed transactions. Lambda does not charge for idle time.
Why it works: Usage-based pricing is RaaS’s precursor in software. The next evolution is tying price more precisely to the value of each usage event — not just whether it happened, but what it accomplished.
Patterns Across RaaS Examples
Looking across all 12 examples, several patterns emerge:
1. Near-Zero Marginal Cost Is the Enabler
Every successful RaaS company has driven its per-unit production cost down dramatically. AI support at pennies per conversation. Creative production at $80 per ad variation using modular systems. Legal AI at cents per document. The gap between production cost and outcome price is where profit lives.
2. Measurement Must Be Indisputable
Successful RaaS companies use objective, shared measurement: resolution logs, attribution data, delivery GPS, ranking positions. None rely on self-reported metrics. The measurement system is as important as the service itself.
3. Volume Smooths Variance
Companies doing 10 outcomes per month face dangerous variance. Companies doing 10,000 outcomes per month have predictable, portfolio-level performance. Scale is not optional in RaaS — it is structural.
4. Hybrid Models Dominate
Pure pay-per-outcome is rare. Most companies use some form of base fee (subscription, minimum commitment, setup fee) plus a variable outcome component. This gives providers enough stability to invest in quality while keeping strong performance incentives.
5. The Price Anchors to the Alternative
Salesforce prices at $2 because human support costs $15–$40. OKAD’s per-winning-ad price works because the ad generates many multiples of its cost in revenue. Legal AI at $5 per document works because a lawyer charges $200+. Every RaaS price is justified by the cost of the alternative.
What These Examples Mean for Your Business
If you are a buyer: outcome-based pricing is available in most service categories. Demand it. The providers who refuse to tie compensation to results are the ones who cannot deliver them.
If you are a provider: the companies in this list are setting the market expectation. Your clients will encounter RaaS pricing from their AI tools, their support platforms, and their logistics partners — and they will start asking why you still charge by the hour.
The shift is not coming. It is here. The question is whether you are pricing for it.
For the fundamentals of Results as a Service, start with our complete RaaS guide. To see specific pricing formulas and model comparisons, our RaaS pricing models guide covers the math. And if you are considering transforming your own agency, our agency-to-RaaS playbook walks through the transition step by step.
Questions people ask
Which companies use RaaS pricing?
Major companies using Results as a Service pricing include Salesforce (Agentforce at $2/conversation), Zendesk (AI resolution pricing at $1.50/ticket), Intercom (Fin AI at $0.99/resolution), and Sierra AI (per-outcome agent pricing). In the agency space, performance-based creative production and outcome-linked consulting models are growing rapidly. By late 2026, most AI-first companies have adopted some form of outcome-based pricing.
Is RaaS only for AI companies?
No. While AI companies led the shift because their near-zero marginal costs make per-outcome pricing natural, RaaS is expanding into creative agencies, recruitment firms, logistics companies, legal tech, and consulting. Any service with measurable outcomes and efficient delivery can adopt RaaS. AI simply made the model economically viable for more industries.
What is the average RaaS price per outcome?
Prices vary enormously by industry and outcome value. AI customer support: $0.99–$2.00 per resolved conversation. Creative production: $200–$600 per winning ad. Recruitment: 15–25% of first-year salary per hire. Consulting: 5–15% of measured value created. The price per outcome must exceed the provider's cost per outcome (including failed attempts) while remaining below the outcome's value to the client.
Do RaaS companies make more money than subscription companies?
At scale with high efficiency, yes. RaaS companies that maintain strong outcome rates earn more per unit of value delivered because their pricing directly reflects the value created. However, RaaS revenue is more volatile month-to-month than subscription revenue. The most successful companies use hybrid models — some base subscription revenue for stability, with outcome-based pricing for the growth layer.
How do I know if a RaaS company is legitimate?
Ask for specific outcome data: what percentage of their deliverables hit the benchmark? Request client references who can confirm the measurement methodology. Check if they use shared dashboards (not self-reported metrics). Legitimate RaaS companies are transparent about their success rates because the data is what sells their service.