Sourcing deals (originator perspective)

Your capital providers care about one thing above all else: do you have deal flow? The best warehouse terms mean nothing if you can’t fund loans. Building reliable, cost-effective origination channels is the foundation of every successful lending business.

This guide covers how originators source borrowers and assets, from channel strategy to partnership economics to the unit economics that determine whether your acquisition spend generates returns.

The four core channels

Every originator sources volume through some combination of four channels. Your mix determines your cost structure, risk profile, and scalability.

Direct origination

You own the customer relationship end-to-end. Marketing, application, underwriting, and servicing all happen in-house.

Economics: Customer acquisition costs (CAC) typically run $50-300 for consumer products, $500-2,000 for small business, higher for specialized commercial. You capture 100% of the economics but bear 100% of the marketing and sales cost.

Advantages: Full control over brand, credit box, and customer experience. No broker fees or revenue share. Best data for underwriting optimization. Highest lifetime value from repeat customers.

Challenges: Requires significant marketing and sales investment. Scaling requires hiring or technology. Longer time to volume.

Broker networks

Independent brokers or correspondent lenders bring you applications. You underwrite, fund, and service.

Economics: Broker compensation runs 1-3% of funded amount depending on product complexity. Your cost is variable, tied to closed volume.

Advantages: Faster path to volume. Access to distribution you couldn’t build yourself. Variable cost structure.

Challenges: Less control over customer experience. Potential adverse selection (brokers send their best deals to whoever pays most). Higher fraud risk. Quality varies significantly across brokers.

Embedded finance

Your product is integrated into a platform’s checkout or workflow. The platform handles customer acquisition; you provide the financing.

Economics: Revenue share typically runs 20-50% of interest or fee income. Your CAC drops to near zero, but your margin per loan compresses.

Advantages: Extremely efficient customer acquisition. High conversion rates (customer is already transacting). Built-in distribution at scale.

Challenges: Platform dependency. Limited brand visibility. You compete on price and integration quality. Partner credit risk if they share losses.

Strategic partnerships

You provide the lending capability to a partner who brings the customer relationship. White-label programs, referral arrangements, or co-branded products.

Economics: Varies widely. Referral fees of $25-100 per funded loan at the simple end. Full revenue share arrangements at the complex end.

Advantages: Access to established customer bases. Lower acquisition cost than building direct. Brand credibility from partner association.

Challenges: Complex to structure. Regulatory considerations (true lender, licensing). Partner may have competing priorities. Relationship management overhead.

Choosing your channel mix

No originator succeeds with a single channel. The question is which combination fits your product, stage, and strategy.

Asset class compatibility

Not every channel works for every product.

Product Type	Best Channels	Why
Consumer unsecured	Direct (digital), embedded	Price-sensitive, high volume, digital-native customers
Auto	Dealer networks, direct	Point-of-sale integration at dealer, subprime via direct mail
Mortgage	Broker, correspondent	Complex product favors specialist originators
Small business	Direct (sales-led), embedded, broker	Relationship-driven, vertical-specific platforms
Equipment	Vendor programs, direct sales	Vendor integration at point of sale, relationship sales for large-ticket
Specialty (litigation, royalty)	Direct sourcing only	Highly specialized, relationship-based, no broker infrastructure

Control vs. scale trade-off

Direct channels give you control but limit scale. Partner channels give you scale but reduce control.

Early stage (under $50M annual originations): Focus on one or two channels. Prove unit economics before diversifying. Most start direct to control underwriting and learn the market.

Growth stage ($50-250M): Add a second major channel. If you started direct, consider broker or embedded to accelerate. If you started with partnerships, build some direct capability for margin and data.

Scale ($250M+): Optimize the mix. You should have clear channel-level P&Ls and understand marginal economics of each. Shift spend to highest-return channels.

Risk implications

Channel mix affects your portfolio composition and credit performance.

Broker-sourced loans typically underperform direct by 20-50 basis points in loss rates. Brokers shop multiple lenders; adverse selection is real. The borrower your competitor passed on ends up in your portfolio.

Embedded finance can outperform direct when properly structured. Pre-qualified customers transacting with a trusted merchant have lower fraud and better payment behavior.

Direct channels give you the data to improve. You see the full funnel, can test credit box changes, and optimize underwriting. Partner channels obscure the relationship between acquisition and performance.

Direct origination: building your own engine

If you’re building direct origination, you need a lead generation machine and a sales operation to convert leads into funded loans.

Digital customer acquisition

For consumer and small business lending, digital is the primary direct channel.

Paid media: Search (Google, Bing), social (Facebook, Instagram), affiliate networks, and display advertising. Expect to pay $30-150 per qualified lead depending on product and credit tier. Prime consumer lending is more competitive (higher CPL) than subprime.

Plan to test at least $50-100K across channels before drawing conclusions about what works. Small spend produces noisy data.

SEO and content: Longer-term investment that reduces CAC over time. Ranking for “small business loan” or “equipment financing” takes 6-12 months of sustained effort. Content marketing (calculators, educational material, comparison tools) builds organic traffic.

Affiliate networks: Third parties drive leads to your application. You pay per lead or per funded loan. Affiliates can scale quickly but require monitoring. Quality varies; some affiliates generate fraudulent or recycled leads.

Attribution: Multi-touch attribution matters as you scale. A customer who clicks a paid ad, leaves, returns via organic, and then converts from an email was touched by all three channels. Understand contribution, not just last-touch.

Sales-led origination

For commercial lending and complex consumer products, you need humans.

Inside sales: Phone-based sales teams working inbound leads or outbound prospecting. An experienced inside sales rep can manage 30-50 leads per day and close 5-15% depending on product and lead quality.

Field sales: Relationship-based selling for larger-ticket products. Equipment finance, commercial real estate, and specialty lending often require in-person meetings. A field rep manages 20-50 active relationships and closes 5-10 deals per month.

Compensation alignment: Sales comp should align with credit quality, not just volume. If reps are paid purely on funded volume, they’ll push marginal credits through underwriting. Consider:

Commission holdbacks released after loans season
Clawbacks for early defaults
Quality bonuses tied to portfolio performance
Tiered commissions by credit grade

Application flow optimization

Every point of friction in your application loses customers.

Stage	Typical Drop-Off	Optimization Lever
Landing to start application	70-85%	Page load speed, clear value prop, mobile optimization
Start to complete application	30-50%	Pre-fill, progress indicators, save-and-resume
Complete to submit	10-20%	Document upload simplification, e-signature
Submit to decision	5-15%	Instant decisioning, clear communication
Decision to funding	10-30%	Streamlined verification, fast funding

Instant decisioning is increasingly table stakes for consumer and small business. If your competitors decide in seconds and you take days, you lose on experience regardless of rate.

Broker and correspondent networks

Brokers extend your reach but introduce risk. Managing broker quality is as important as managing credit quality.

Building a broker program

Broker types matter. Retail brokers work directly with borrowers. Wholesale originators underwrite and close but need funding. Correspondent lenders fund their own loans and sell to you. Each has different economics and risk profiles.

Onboarding requirements should include:

Background checks and licensing verification
Minimum experience requirements
Financial statement review (for correspondents)
Technology capability assessment
Training on your products and processes

Rate sheets and pricing communication: Brokers need clear, current pricing. Most programs distribute daily or intraday rate sheets. Consider tiered pricing based on broker volume and quality metrics.

Technology: A broker portal is essential at scale. Self-service pricing, application submission, status tracking, and document upload. LOS integration (Encompass, BytePro, proprietary) matters for mortgage and complex commercial.

Managing broker quality

Not all brokers are equal. Build metrics and processes to identify quality.

Pull-through rate: What percentage of submitted applications fund? Low pull-through wastes underwriting capacity. Top brokers pull through 70%+. Poor brokers are below 30%.

Repurchase rate: How many loans require buyback due to rep and warranty breaches? High repurchase rates signal underwriting problems or fraud.

Fraud incidence: Track by broker. Fraud clusters around specific originators. Early detection prevents portfolio contamination.

Tiering and incentives: Pay better brokers more. Volume tiers, quality bonuses, and priority processing for top-tier brokers incentivize performance. Cut bottom performers.

Review broker quality metrics monthly. Terminate brokers who consistently underperform before they damage your portfolio.

Adverse selection in broker channels

Brokers optimize for their economics, not yours. A broker with the same loan at two lenders sends it to whoever pays more or approves faster. Your best credits go to your competitor with better pricing; their rejects come to you.

Compensation structures create selection. If you pay higher YSP (yield spread premium) than competitors, you get more volume but worse credits. If you’re the lender of last resort, you see what others rejected.

Mitigation strategies:

Compete on speed and certainty, not just price
Build broker relationships where you’re the primary outlet
Use data to identify selection patterns (compare broker-sourced to direct-sourced performance)
Price for the actual risk of broker-sourced loans, not theoretical risk

Embedded finance and platform partnerships

Embedded finance puts your lending product where customers are already transacting. The economics are different from direct origination.

The embedded model

Point-of-sale financing: You’re integrated into a merchant’s checkout. Customer finances a purchase; you provide the capital. Examples: BNPL at e-commerce checkout, equipment financing at dealer POS, patient financing at healthcare providers.

Platform partnerships: A vertical SaaS platform or marketplace offers your lending product to its users. Examples: lending through accounting software, financing through a B2B marketplace, working capital through an invoicing platform.

Revenue share arrangements: You split economics with the platform. Typical splits:

20-30% to platform for distribution-only arrangements
30-40% for platforms that handle servicing or take first-loss
40-50% for platforms with significant underwriting contribution

Finding and winning platform partners

Identify platforms with financing needs. Look for:

Platforms with high-value transactions (average order value over $500)
Platforms where financing would increase conversion
Verticals with existing financing but poor experience
B2B platforms where customers have cash flow timing mismatches

The pitch: Frame it as improving their customer experience and increasing conversion, not your need for volume. Concrete data helps: “Merchants who offer financing see 15-25% higher average order values and 10-20% higher conversion.”

Integration requirements: Technical lift varies from simple redirect to deep API integration. Understand the platform’s technical capacity and timeline expectations. Integration can take 2-6 months depending on complexity.

Exclusivity trade-offs: Platforms want exclusivity for simplicity. You want non-exclusive for diversification. Middle ground: category exclusivity (exclusive for your product type), minimum volume commitments, or exclusivity with term limits.

Platform partnership economics

The numbers work differently than direct.

Lower CAC, tighter margins. Your customer acquisition cost drops to near zero, but you’re paying 20-50% of economics to the partner. Net margin per loan is lower, but capital efficiency is higher.

Volume and conversion: Platform customers convert at higher rates (they’re already transacting) and have lower fraud (the platform has verified them). A 5% conversion rate on platform leads beats 0.5% conversion on paid search leads.

Concentration risk: If one platform drives 40% of your volume, losing that partner is catastrophic. Diversify across platforms even if it means lower volume from each.

Partner credit risk: If the partner takes first-loss or has recourse obligations, their financial stability matters. A bankrupt partner can’t honor repurchase obligations.

White-label and referral partnerships

Beyond embedded finance, partnerships can take simpler forms.

White-label programs

You’re the engine behind someone else’s brand. You provide credit infrastructure (credit box, capital, servicing, compliance). They provide distribution and customer relationship.

What you negotiate:

Credit box and eligibility criteria
Pricing and fee structure
Loss allocation (first-loss, excess loss, full recourse)
Servicing responsibilities
Regulatory responsibilities (licensing, disclosures, compliance)
Data rights and customer ownership

True lender considerations: If you’re funding loans originated under a partner’s brand, regulators may scrutinize who the “true lender” is. The true lender doctrine analysis matters for rate exportation and licensing. Structure carefully with counsel.

Referral arrangements

Simpler than white-label. A partner sends you leads or applications; you pay a referral fee.

Fee structures:

Per-application: $25-75 regardless of outcome (encourages volume, not quality)
Per-funded loan: $50-200 (better alignment, but partner has less control)
Percentage of loan amount: 0.5-1.5% (aligns value with loan size)

Compliance considerations: Referral fees can implicate RESPA (for mortgage), state broker licensing requirements, and anti-kickback regulations. Not every referral arrangement is legal in every context. Get legal review.

Structuring for durability

Partnerships fail when expectations aren’t aligned or documented.

Volume commitments: Minimum volumes protect your investment in the integration. Maximize flexibility by using targets rather than hard commitments, with pricing tiers that reward performance.

Performance benchmarks: Define success metrics upfront. If the partnership doesn’t hit targets, what happens? Renegotiation rights, cure periods, termination triggers.

Data rights: Who owns the customer data? Can you market to customers after the loan? Can you use portfolio data to improve underwriting? These matter for long-term value.

Transition provisions: If the partnership ends, how do you handle existing loans? Wind-down period, servicing transition, customer communication. Document this before you need it.

Lead generation and marketing operations

Regardless of channel, you need operational infrastructure to manage lead flow and optimize conversion.

Building your lead machine

Lead sources span the spectrum:

Organic (SEO, referrals, repeat customers)
Paid (search, social, affiliate, display)
Purchased (lead aggregators, data providers)
Partner-generated (platform leads, referrals)

Lead validation matters. A lead isn’t valuable if it’s fraudulent, recycled, or outside your credit box. Validate:

Phone and email verification
Identity verification (soft pull, fraud checks)
Credit pre-qualification (soft pull for eligibility)
Duplicate detection (same applicant from multiple sources)

Lead routing and prioritization: Not all leads deserve equal attention. Route high-intent, high-quality leads to your best salespeople. Auto-decline leads outside your credit box immediately. Prioritize leads with time sensitivity (rate locks, purchase deadlines).

Conversion rate optimization

Benchmark your funnel. Typical conversion rates vary by product:

Product	Lead to Application	Application to Approval	Approval to Funding
Consumer unsecured	30-50%	15-30%	50-70%
Consumer secured (auto)	40-60%	20-40%	60-80%
Small business	20-40%	10-25%	40-60%
Mortgage	10-25%	40-60%	70-85%

Identify your bottlenecks. Where is drop-off highest? That’s where optimization pays off. Common issues:

Landing page: slow load, unclear value proposition, poor mobile experience
Application start: too many fields, no save-and-resume, confusing flow
Application completion: document upload friction, stipulation confusion
Decisioning: slow response, unclear communication
Funding: verification delays, poor coordination

A/B testing discipline: Test one variable at a time. Run tests to statistical significance. Document learnings. Build institutional knowledge of what works.

Compliance in marketing

Marketing compliance failures create regulatory risk and can shut down acquisition channels.

Fair lending: Marketing can’t discriminate in reach or targeting. Avoid targeting exclusions that correlate with protected classes. Monitor for disparate impact.

UDAP (Unfair, Deceptive, Abusive Acts or Practices): Marketing claims must be accurate. If you say “rates as low as 5%,” that rate must be available to a meaningful number of applicants.

Disclosures: Required disclosures (APR, terms, fees) must be clear and conspicuous. State-specific requirements vary. Mortgage has TILA requirements; consumer has state disclosures.

Third-party monitoring: If you use affiliates or brokers, their marketing is your responsibility. Audit affiliate sites. Monitor broker advertising. Have takedown rights for non-compliant marketing.

Balancing underwriting capacity and demand

Origination volume is worthless if you can’t underwrite it. Managing capacity is an operational discipline.

Capacity planning

Underwriter productivity benchmarks vary by product:

Product	Decisions per Underwriter per Day
Consumer unsecured (automated)	100-500+
Consumer unsecured (manual review)	20-40
Auto	15-30
Small business (simple)	10-20
Small business (complex)	3-8
Commercial/specialty	1-3

Technology leverage: Automated decisioning handles 60-90% of volume for consumer products. Underwriters focus on exceptions and edge cases. If humans review every file, you can’t scale.

Scaling decisions:

Under capacity: hire, extend hours, reduce quality checks (risky)
Over capacity: reduce marketing spend, tighten credit box, route to waitlist
Chronic mismatch: invest in automation to increase throughput

Pipeline management

Volume volatility is normal. Seasonality, marketing campaign timing, competitive dynamics, and external events create volume swings. Plan for peaks and valleys.

Throttling levers:

Marketing spend (most immediate)
Rate and pricing (affects volume with lag)
Credit box changes (affects volume and risk)
Partner volume (if you have contractual flexibility)

Rate lock management: For products with rate commitments (mortgage, some auto), lock pipeline creates risk. A spike in rates creates fallout; a drop creates pipeline surge. Hedge or manage actively.

Turn time as competitive advantage

Speed wins deals. In competitive markets, the fastest lender often gets the loan. Customers don’t wait.

Product	Competitive Turn Time
Consumer unsecured	Instant to same-day
Auto	Same-day
Small business	Same-day to 2 days
Mortgage	2-4 weeks (approval), 30-45 days (close)
Equipment	1-3 days

Where delays happen:

Queue time (waiting for underwriter)
Stip clearing (waiting for documents)
Verification (employment, income, asset)
Condition clearing (final review)
Funding (disbursement process)

SLA management: Set internal SLAs by stage. Measure against them. Identify and address bottlenecks. Report turn time to leadership like a KPI because it is one.

Geographic and vertical expansion

Once you’ve proven your model, expansion creates growth. But expansion done wrong destroys value.

Geographic expansion

State licensing is the gating factor. Each state has its own licensing requirements for lenders, servicers, and collectors. Licensing costs $5-50K per state, with ongoing compliance costs. Some states (California, New York) have more burdensome requirements.

Market sizing by geography: Not every state is worth the licensing investment. Analyze:

Population and credit-eligible population
Competitive intensity (how many lenders already serve the market?)
Regulatory environment (usury caps, disclosure requirements)
Credit characteristics (default rates, recovery rates)

Localization: Marketing may need adjustment by region. Compliance certainly does. State-specific disclosures, rate caps, and licensing requirements all vary.

Vertical expansion

Adjacent asset classes leverage existing infrastructure. If you originate consumer installment loans, consumer lines of credit use similar underwriting, servicing, and compliance. The marginal cost is lower than a new product from scratch.

New customer segments within your asset class can expand volume without new infrastructure. Moving from prime to near-prime, or from one industry vertical to another, uses your existing platform.

Build vs. buy vs. partner: For net-new capabilities, evaluate:

Build: highest control, slowest, requires internal expertise
Buy: fast, expensive, integration risk
Partner: moderate speed, shared economics, dependency risk

Expansion economics

Marginal cost to enter new markets includes licensing, compliance build-out, marketing localization, and potentially staffing. For geographic expansion within an existing product, expect $50-200K per state all-in.

Time to profitability varies:

Geographic expansion (existing product): 6-12 months
Adjacent product (existing geography): 12-18 months
New product and geography: 18-36 months

Facility implications: Your capital provider cares about expansion. New states may require eligibility criteria updates. New products may need concentration limits. Discuss expansion plans with your facility provider before committing.

Unit economics of customer acquisition

Every origination channel is an investment. Understanding unit economics tells you whether that investment pays off.

The CAC-to-LTV framework

Customer acquisition cost (CAC): Total cost to acquire a funded customer. Include:

Marketing spend (paid media, content, events)
Sales cost (salaries, commissions, overhead)
Lead costs (if purchasing leads)
Partner fees (broker compensation, referral fees)
Application processing costs

Lifetime value (LTV): Total profit from the customer relationship. Include:

Interest income (net of funding cost)
Fee income (origination, servicing, late fees)
Minus: credit losses
Minus: servicing costs
Plus: repeat business value
Plus: referral value

Target ratios: Healthy lending businesses target 1:3 to 1:5 CAC:LTV ratios. If you spend $200 to acquire a customer, you need $600-1,000 in lifetime profit.

Payback period: How long until CAC is recovered? Consumer installment loans with 12-18 month terms should recover CAC within the first loan. Longer-term products (mortgage, equipment) may take longer.

Channel-level economics

Build a P&L for each channel. Include all costs, not just variable marketing spend.

Fixed vs. variable costs:

Direct digital: mostly variable (ad spend), some fixed (marketing team)
Inside sales: mixed (salaries fixed, commissions variable)
Broker: mostly variable (broker fees tied to volume)
Embedded: mostly variable (revenue share)

Marginal economics matter for scaling decisions. If the next $100K in marketing spend produces $80K in variable contribution, stop spending. If it produces $150K, spend more.

Optimizing acquisition spend

Budget allocation framework:

Calculate channel-level CAC and LTV
Rank channels by CAC:LTV ratio
Allocate budget to highest-return channels first
Test new channels with limited spend
Cut underperforming channels quickly

Testing discipline: Allocate 10-20% of budget to testing. Try new channels, new creative, new targeting. Most tests fail, but the winners create competitive advantage.

Seasonality and timing: Some products have clear seasonality (tax refund lending, back-to-school, holiday). Adjust spend accordingly. Don’t spend heavily when conversion is low.

Building long-term borrower relationships

Acquiring a customer once is expensive. Keeping them is cheaper and more profitable.

Customer retention and repeat lending

Repeat borrower economics are compelling:

CAC for repeat customers: near zero (you already have them)
Credit performance: typically 30-50% better than new customers
Lifetime value: 2-3x single-loan customers

Retention strategies:

Proactive refinancing offers when rates improve or credit improves
Loyalty programs with rate discounts or fee waivers for repeat customers
Cross-sell into adjacent products
Relationship servicing (not just transaction processing)

Timing matters. Contact customers at decision points:

70% through loan term (for refinance)
Life events (detected through data)
Competitive offers (if you can detect shopping behavior)
Seasonal patterns (known spending periods)

Customer experience as acquisition strategy

Net Promoter Score (NPS) correlates with referrals. Lending typically has low NPS (industry average 0-20). Being even moderately above average (30+) creates differentiation.

Reviews and reputation: Google reviews, BBB ratings, and industry-specific review sites influence customer decisions. Actively manage reviews. Respond to complaints. Make it easy for satisfied customers to leave positive reviews.

Word-of-mouth: Particularly important in B2B, small business, and specialty lending. A CFO who had a good experience tells other CFOs. Build referral programs that make sharing easy.

Data and feedback loops

Use your data to improve. Your origination data tells you which leads convert, which customers perform, and which channels work. Build feedback loops:

Credit performance by acquisition source (which channels produce best credits?)
Conversion by demographic/firmographic segments (who converts best?)
Lifetime value by cohort (are newer customers more or less valuable?)

Channel optimization through data: If broker-sourced loans default at 2x the rate of direct, price accordingly or exit the channel. If customers from a specific platform outperform, invest in that relationship.

Key takeaways

Diversify channels, but not too early. Prove unit economics in one or two channels before expanding. Spreading too thin dilutes focus and obscures learning.
Understand channel-level economics. Build a P&L for each channel. Know your CAC, LTV, and payback period. Cut losers; scale winners.
Broker channels require active management. Adverse selection is real. Monitor quality metrics, tier brokers, and terminate underperformers quickly.
Embedded finance trades margin for efficiency. Lower CAC but shared economics. Diversify across platforms to avoid concentration risk.
Partnerships require clear structure. Document volume commitments, performance benchmarks, data rights, and termination provisions before you need them.
Turn time is competitive advantage. In competitive markets, speed wins. Invest in automation and process to reduce decision time.
Repeat customers are your best customers. Retention is cheaper than acquisition. Build programs to keep good customers coming back.
Your facility cares about your origination strategy. Expansion, channel mix, and credit box changes all affect your capital relationships. Keep your capital providers informed.

Cross-references

Sourcing ABF Deals covers the capital provider perspective on deal sourcing
Early-Stage Financing addresses capital needs as you build origination channels
Originator Economics explores the P&L implications of acquisition strategy
True Lender Doctrine covers regulatory considerations in partnership models
Raising Capital addresses how your origination volume affects capital raising