Performance-based pricing
for digital agencies.
Platform Benefits
Transform Your Agency Operations
Scopeful delivers measurable improvements in quoting speed, win rates, and estimation accuracy through AI-powered performance-based pricing models.
40% Faster Quotes
AI-powered scoping and value quantification models dramatically reduce time spent on proposal creation and research.
10% Win-Rate Uplift
Performance-based pricing reduces customer risk perception, making proposals more attractive and increasing success rates.
<25% Estimation Error
Machine learning calibrated on your agency delivery data achieves unprecedented accuracy in effort prediction.
Performance-Based Pricing
Join the exclusive 0.5% of agencies using outcome-based pricing models that align incentives and share success.
AI-Powered Value Quantification
Zwikael framework implementation identifies productivity gains, cost savings, and revenue increases for measurable ROI.
Risk-Sharing Partnerships
Build lasting client relationships through transparent risk distribution and collaborative success frameworks.
How Scopeful Works
Discover the complete user journey from client inquiry to winning proposal delivery
Step 1
Client Inquiry
Capture Client Context
Clients reach out with project questions and provide background information about their business challenges and goals.Initial Client Contact
Client reaches out with a project question, providing business context, current challenges, and desired outcomes.
Information Capture
AI extracts key business metrics, revenue figures, pain points, and success criteria from client communications.
Initial Qualification
Project urgency, budget expectations, and decision-making timeline assessed to prioritize sales follow-up.
Step 2
Background Analysis
AI-Generated Client Brief
AI completes comprehensive background research and delivers ready-to-use briefing for sales team follow-up.Client Context Briefing
Sales team receives AI-generated briefing on client background, industry, and business context for informed conversations.
Business Intelligence Summary
Key financial metrics, company size, and market positioning summarized for sales team preparation.
Opportunity Assessment
AI identifies potential project opportunities and business challenges for targeted sales discussions.
Step 3
Scoping
AI-Assisted Scoping
Sales team conducts project scoping with AI assistance to define requirements, identify solutions, and structure deliverables.Requirements Gathering
Sales team leads client conversations to gather requirements using AI-generated questions and structured discovery frameworks.
AI-Powered Analysis
AI analyzes gathered requirements to identify technical solutions, estimate complexity, and suggest optimal project structure.
Scope Refinement
Sales team and AI collaborate to refine project scope, validate requirements, and ensure comprehensive coverage of client needs.
Deliverable Definition
Clear project deliverables and milestones defined collaboratively, ready for accurate estimation and proposal creation.
Step 4
Estimation
Generate Accurate Estimates
Initial project estimates created by AI, then refined and validated by sales professionals.Initial AI Estimation
AI generates initial project estimates based on identified gaps, similar project patterns, and complexity analysis.
Historical Data Calibration
Machine learning algorithms calibrated on agency delivery data and historical estimates for improved accuracy.
Sales Team Refinement
Sales professionals review AI estimates, adding client-specific considerations and market dynamics.
Step 5
Proposal Generation
Create Ready-to-Send Proposals
Comprehensive proposals and quotes generated by AI, formatted and ready for immediate client delivery.Automated Proposal Creation
AI generates comprehensive proposals including project scope, timeline, deliverables, and pricing structure.
Performance-Based Pricing
Sophisticated pricing frameworks combining fixed fees with performance bonuses tied to measurable business outcomes.
Risk-Sharing Models
AI recommends optimal risk-sharing mechanisms based on project type, client profile, and success metrics.
Ready-to-Send Quotes
Final proposals formatted professionally and ready for immediate delivery to clients, complete with success metrics.
Scopeful Process Summary
From client inquiry to winning proposal in 5 streamlined steps
Step 1: Client Inquiry
Client reaches out with project details. AI extracts key business metrics, pain points, and success criteria for immediate qualification and prioritization.
Step 2: Background Analysis
AI completes comprehensive background research and delivers ready-to-use briefing for sales team follow-up with complete client context.
Step 3: AI-Assisted Scoping
Sales team conducts project scoping with AI assistance to define requirements, identify solutions, and structure deliverables collaboratively.
Step 4: Estimation
AI generates accurate project estimates based on historical data, then sales team refines with client-specific considerations.
Step 5: Proposal Generation
AI creates comprehensive performance-based proposals with risk-sharing models, formatted and ready for immediate client delivery.
FAQs
Frequently Asked Questions
Get answers to common questions about Scopeful's AI-powered approach to performance-based pricing for software agencies.
Why should agencies move to performance-based pricing?
Performance-based pricing creates aligned incentives between agencies and clients, leading to higher win rates, stronger partnerships, and shared success. Only 0.5-1.1% of software deals currently use performance-based models, creating a massive competitive advantage for early adopters.
What do I need to get started with Scopeful?
You need access to your historical project data, client delivery metrics, and willingness to pilot the system with 2-3 projects. We provide training on value quantification, risk assessment, and outcome-based contract structures.
How does Scopeful achieve <25% effort prediction error?
Our ML algorithms are calibrated on your agency's specific delivery data and historical estimates. Pattern detection identifies project complexity factors, while continuous learning from each project improves prediction accuracy over time.
What if a client doesn't want performance-based pricing?
Scopeful still provides value through faster, more accurate scoping and risk assessment for traditional time-based contracts. The AI-powered requirements analysis and effort prediction improve all types of engagements, regardless of pricing model.
How do you measure ROI for software projects?
We use the Zwikael (2024) framework to classify project benefits across financial and non-financial dimensions. Our system identifies productivity gains, cost savings, revenue increases, and quality improvements - with 73% of benefits typically targeting client organizations.
What types of projects work best with performance-based pricing?
Projects with clear, measurable business outcomes work best - such as process optimization, digital transformation, or revenue-generating applications. Custom software with defined success metrics and willing private sector clients are ideal candidates.
Ready to Transform Your Agency?
Start Selling Results, Not Hours
Join the 0.5% of agencies using performance-based pricing.Share the risk, share the champagne.