Market Research/Readiness
Market Research Analysis & Credit Readiness
Evidence-led insights, investor-grade readiness.
We combine market intelligence with lender-style analysis to help mid-market operators and alternative-market platforms enter markets confidently and meet credit expectations across ASEAN and cross-border.
At a glance
Decision-grade insights paired with the controls, data and documentation that credit committees expect.
Market intelligence
Size the opportunity, understand unit economics, and locate the profit pools.
- Demand sizing & segmentation
- Pricing corridors & willingness-to-pay
- Competitive & channel mapping
Credit readiness
Translate performance into lender language—predictable cash flows and enforceable controls.
- Quality of earnings & cash conversion
- Collateral & security posture
- Policies, covenants & reporting cadence
Evidence & documentation
Investor-grade packs that withstand DD, with data lineage and audit trails.
- Data books & tapes (where relevant)
- Assumptions register & sensitivity cases
- Controls & procedures manuals
Scope & use cases
Right-sized modules depending on where you are in the cycle.
Market entry
Country/segment scans, regulatory maps and partner/supplier vetting.
Product/segment test
Demand signals, cohort economics and channel trials.
Credit raise prep
Debt story, covenant-fit and reporting readiness.
ABS/warehouse prep
Data room indexing, tape prep and trigger scaffolding.
Refinance/reset
Headroom analysis, waiver playbooks and KPI tuning.
Cross-border
Jurisdictional controls, FX/collections and reporting harmonisation.
Market & competitive analysis
A clear view of the opportunity and the path to capture it.
Demand & segmentation
- Top-down & bottom-up TAM/SAM/SOM
- Buyer personas & cohort behaviours
- Elasticity & switching triggers
Pricing & unit economics
- Contribution margins & CAC payback
- Lifetime value & retention curves
- Sensitivity bands & break-even
Competition & channels
- Competitor archetypes & moats
- Channel economics & partner models
- GTM motions & pipeline dynamics
Methodology notes
- Triangulate multiple data sources; reconcile conflicts with sensitivity bands.
- Prefer operational metrics over survey intent; validate with pilots where feasible.
- Document assumptions and lineage for auditability.
Credit readiness
Bridge operations and investor expectations with controls, data and governance.
Policies & procedures
- Credit & collections policies
- Eligibility tests & concentration limits
- Escalations, waivers & exceptions logs
Account & cash controls
- Account architecture & reconciliations
- Lockbox/escrow & sweeps (where applicable)
- Reserve mechanics & waterfall rules
Financials & ratios
- Quality of earnings & working capital
- DSCR/ICR/leverage views with headroom
- Monthly reporting cadence & variance analysis
Readiness checklist (illustrative)
- Close-ready monthly financials with reconciliations
- Documented credit/collections procedures and delegation
- Data dictionaries, lineage and evidence room index
- Borrowing-base or trigger calculation templates (if relevant)
- Draft covenant pack & KPI dashboard layout
Scoring & criteria
Indicative framework—tailored to sector and investor mandate.
| Dimension | Examples | Typical weight |
|---|---|---|
| Business model & market | TAM/SAM, competitive intensity, switching costs | 20–30% |
| Financial strength | Revenue quality, margins, cash conversion, volatility | 25–30% |
| Collateral/controls | Security package, account control, reserves | 15–20% |
| Governance & data | Policies, reporting cadence, audit trails | 10–15% |
| Jurisdictional risk | Legal enforceability, FX, regulatory stability | 10–15% |
How we calibrate weights
Weights shift with asset behaviour and investor appetite. For asset-backed flows, controls weigh more; for covenant-lite growth, volatility/retention weighs more. We document rationale and show sensitivity to weight changes.
Deliverables
Right-sized, version-controlled outputs ready for internal and investor use.
Market brief
Executive-ready deck with sizing, segments, pricing, competition and regulatory map.
Model & cases
Unit economics and scenarios with sensitivity bands and assumptions book.
Readiness pack
Policies, procedures, data dictionary and draft reporting templates.
Data book
Cleaned datasets/tapes (where applicable) with lineage and QA notes.
Dashboard spec
Metrics, definitions and wireframes for monthly reporting.
Action roadmap
90-day plan to close gaps and reach committee-ready status.
Data & sources
Blend internal, public and alternative datasets with transparent lineage.
Internal
- Sales/CRM, invoices, collections, cohort data
- Cost drivers & supplier records
- Operational & service KPIs
Public & filings
- Regulatory stats, customs/trade, company filings
- Industry benchmarks & price indices
- Central bank & macro series
Alternative
- Sat/geo, mobility, web-scraped panels (where appropriate)
- Surveys/interviews with anonymised notes
- Third-party vendors with data SLAs
Data quality principles
- Reproducibility via versioned pipelines and dictionaries
- Bias checks and outlier treatments documented
- Security by design with least-privilege access
Dashboards & reporting
Monthly, investor-friendly views with definitions and audit trails.
Market dashboard
- Pipeline by segment/channel; win rates and cycles
- Pricing bands and margin waterfalls
- Competitive moves & regulatory updates
Credit dashboard
- Cash conversion, DSCR/ICR, leverage
- Collections/aging, write-offs, concentrations
- Policy exceptions & trigger status
Case snapshots
Illustrative, anonymised results.
Logistics platform (ASEAN)
Segmented demand model and pricing bands enabled targeted growth and covenant-fit profile.
Consumer fintech
Data dictionary & monthly dashboard accelerated ABS readiness and investor diligence.
Industrial distributor
Unit economics and collections controls supported a structured working-capital facility.
FAQs
How long does a typical engagement take?
Modules range from 3–6 weeks for focused market/credit diagnostics to multi-quarter programs for full readiness and dashboard roll-out.
Do you build the dashboards?
We provide the metrics, definitions and wireframes; build can be done by your team or a preferred vendor with our oversight.
Can this feed into private credit or ABS?
Yes—outputs are designed to slot into lender/ investor packs, including borrowing-base calculations or ABS trigger matrices where relevant.