What happened.
Clearco expanded revenue-based funding for e-commerce businesses during a period of strong online retail growth. As conditions changed, it reduced staffing and geographic exposure and later announced a recapitalization, including new equity and asset-backed financing.
The public record supports a business-model and funding transition. It does not provide a complete loan-level loss series or prove that particular underwriting signals were missed. The useful analytical question is how a lender translates continuously available merchant data into limits and portfolio decisions as market conditions change.
A revenue-linked repayment structure can adjust collections to sales while still exposing the lender to cohort deterioration, slower repayment, and funding pressure.
From individual facts to a fuller picture.
- The company announced new equity and financing in its 2023 recapitalization.
- Its funding model relied on merchant revenue and commerce data; public disclosures do not provide a complete loss series.
- How does each merchant cohort perform as sales growth, refunds, and acquisition costs change?
- Does the proposed advance remain proportionate to verified revenue and existing obligations?
- Can funders see performance by vintage, sector, and geography rather than only an aggregate balance?
The review questions are analytical prompts. They do not establish that particular data was available to the institution at the time, or that a different process would have changed the outcome.
A different decision starts here.
Tie financing capacity to reconciled net cash and the dependencies behind merchant revenue.
Authorized merchant sales, processor settlements, refunds, fees, reserves, financing repayments, and customer revenue evidence where available.
01 Move from gross sales to available cash
- Evidence to connect
- Gross orders, refunds, processor fees, reserves, and settled bank receipts.
- Amlok output
- A reconciled revenue view showing how reported sales become available operating cash.
Decision it could supportUse the supported net-cash picture when reviewing capacity instead of assuming every sale is immediately spendable.
02 Find shared revenue dependencies
- Evidence to connect
- Resolved customer receipts and supported customer or channel identifiers.
- Amlok output
- A concentration view with customer-level coverage measured separately from channel-level assumptions.
Decision it could supportReview merchants exposed to a common customer dependency and investigate channel exposure where evidence supports it.
03 Refresh the financing decision
- Evidence to connect
- New settlements, changing refunds and reserves, current obligations, and the original underwriting baseline.
- Amlok output
- A comparison showing what changed in repayment capacity and which evidence supports it.
Decision it could supportLet the institution adjust review cadence, terms, or limits under its own policy as merchant conditions change.
Put numbers behind the opportunity.
These scenarios apply Amlok’s supplied comparison rates to the review described above. They are projections, not measured results at Clearco. Count-based scenarios use an assumed population, not the institution’s actual records.
Revenue settlement reconciliation
Assumed population: 1,000 eligible merchant settlement groups.
More settlement groups could support a financing assessment based on collected cash.
Calculation & assumptions
Comparison inputs: 75% → ≈90%.
Population calculation: 1,000 × 75% = 750; 1,000 × 90% ≈ 900. Difference: ≈150 additional.
Relative change: (90 − 75) ÷ 75 × 100 ≈ +20%.
15 percentage points higher than the input baseline. Assumes processor and bank evidence can be matched. The supplied reconciliation rate is not a measured merchant default or recovery rate.
View the supplied comparison inputsCustomer concentration coverage
Assumed population: 1,000 eligible merchant concentration assessments.
More merchants could be evaluated for concentration in the customers generating their revenue.
Calculation & assumptions
Comparison inputs: 60% → ≈84%.
Population calculation: 1,000 × 60% = 600; 1,000 × 84% ≈ 840. Difference: ≈240 additional.
Relative change: (84 − 60) ÷ 60 × 100 ≈ +40%.
24 percentage points higher than the input baseline. Assumes customer-level evidence is available. Platform or advertising-channel concentration must be tested separately, not inferred from this metric.
View the supplied comparison inputsFrom a projection to a validated result.
Replay merchant reviews with dated sales and settlement evidence. Measure reconciled groups and customer-concentration coverage first; evaluate financing performance separately on matched cohorts.
Public funding announcements do not provide a loan-level loss series. This scenario does not assert that Clearco missed these signals or that a specific funding decision caused a loss. The supplied comparison rates are approximate scenario inputs; no institution-specific replay or confidence interval is available for these estimates. The two metrics describe separate dimensions and should not be added together.
Read the source material.
This is a strategy and funding case. Public data does not establish portfolio loss rates, missed signals, or an outcome that Amlok would have achieved.
- 01Clearco: recapitalization and operating updateCompany disclosure
- 02FinTech Futures: recapitalisation summaryTrade press
Amlok’s interpretation is independent of the institutions discussed. Public records are limited to their stated scope and period. Historical figures describe the source events; the separately labeled Amlok scenarios are calculated projections. Institution names and logos do not imply affiliation or endorsement.
