Introduction
How ecommerce lenders calculate offers is one of the most opaque parts of business financing for online brands, yet the mechanics are surprisingly logical once you see them laid out. Most founders interact with a polished dashboard that returns a number and a fee, but behind that interface sits an underwriting engine evaluating real-time sales data, cash flow patterns, margin profiles, and revenue forecasts to determine exactly how much capital to extend and at what price.
This article focuses specifically on ecommerce-focused fintechs (lenders like Uncapped, Wayflyer, and Onramp) and revenue based financing providers, rather than traditional bank loans, SBA programs, or equity financing routes like venture capital. If you run an ecommerce business doing at least ~$100k per month in revenue (or ~$10k/month on Amazon), and you're weighing e commerce financing options for inventory, marketing campaigns, or bridging cash flow gaps, this breakdown is written for you.
The short answer: most ecommerce lenders calculate offers by connecting directly to your store and bank account data, evaluating revenue trends and cash flow health, projecting future sales under normal and stressed scenarios, and then structuring an advance amount and pricing metric (typically a factor rate, flat fee, or APR) calibrated to the risk they see in your numbers.
Here's what you'll take away from this guide:
- Understand which data lenders actually look at (e.g., Shopify, Amazon, bank feeds, ad accounts).
- See how that data turns into a maximum offer size and repayment schedule.
- Learn how factor rates work with a concrete numerical example.
- Know what to check to compare two very different-looking offers fairly.
- See how our underwriting and decision timeline (a decision within 24 hours) fits into this landscape.
Understanding Ecommerce Lending and Underwriting
Ecommerce financing refers to funding products designed specifically for online business models (brands selling through Shopify, Amazon, WooCommerce, or their own DTC storefronts), where the lender uses digital sales data rather than physical assets or extensive business credit history to make decisions. It's a category that includes revenue based financing, merchant cash advances, term loans, and lines of credit, all structured around the reality that e commerce businesses generate measurable, real-time revenue streams that traditional lenders often don't know how to evaluate.
Underwriting, in this context, is simply the process a lender uses to assess risk and build an offer. It answers three questions: how much can we safely advance, under what repayment structure, and at what price? For founders, understanding underwriting matters because it determines whether you get a $50k offer or a $500k one, and whether that capital costs you 6% or 30% in effective terms.
The pain point is real: founders need fast decisions without drowning in paperwork, but they also need to avoid opaque or overpriced deals. Ecommerce lenders promise speed and simplicity, and most deliver, but the mechanics behind their offers deserve scrutiny.
What Makes Ecommerce Underwriting Different From Traditional Business Loans
Traditional lenders (banks, credit unions, SBA-backed programs) typically require two to three years of tax returns, audited financial statements, hard collateral like real estate or physical assets, and strong owner credit scores. The process often takes weeks or months, and many asset-light online brands simply don't qualify.
Ecommerce lenders flip this model. Instead of requesting paper documents, they rely on:
- Real-time sales and payout data from platforms (Shopify, WooCommerce, Amazon, Stripe, PayPal).
- Bank transaction history over the last 6–12 months, pulled via open banking or Plaid-style connectors.
- Advertising and customer acquisition metrics from Meta Ads, Google Ads, and similar platforms, evaluating ROAS and customer acquisition costs.
This approach means that automated underwriting systems evaluate the operational and financial health of online storefronts directly. Ecommerce lenders often prioritize revenue data over traditional credit scores, making it possible for brands without long business credit histories or significant personal assets to access capital. But the trade-off is that lenders model revenue volatility, marketing efficiency, and platform dependency more aggressively than a bank ever would.
The type of product being offered, whether it's a term loan, a revenue-based advance, a merchant cash advance, or a line of credit, also shapes exactly how offers are calculated.
Key Ecommerce Funding Models, Including Revenue Based Financing, and Why They Matter for Offer Calculations
Not all ecommerce funding works the same way. The structure of the product determines which metrics carry the most weight in underwriting and how the final cost is presented. Here are the four most common models:
- Revenue-based financing: You receive a lump sum and repay a fixed percentage of daily or weekly sales until a set total is repaid. Revenue-based financing provides capital in exchange for a future revenue percentage, and repayments adjust based on sales performance, rising in strong months and falling during slow sales periods. Underwriting focuses heavily on gross revenue consistency, margin profile, and payout timing. Revenue-based financing does not dilute ownership or control of the business, which makes it popular among e commerce businesses for its flexibility.
- Merchant cash advances: Similar to revenue-based financing but often with daily or weekly sales splits and factor-rate pricing. Merchant cash advances provide funds based on future sales percentages and offer fast funding, but often at higher costs. Underwriting mirrors RBF but with more frequent deductions and tighter cash flow monitoring.
- Fixed-schedule term advances: The borrower repays via fixed instalments over a set period (e.g., 6–24 months), with pricing structured as a flat fee or interest rate. Underwriting here must confirm the brand can absorb those fixed payments every period, so steady sales, predictable cash flow, and margin cushion matter more than topline growth.
- Revolving lines of credit: You receive an approved credit limit and draw down as needed, paying interest only on what's used. Business lines of credit provide ongoing access to funds, and underwriting must assess worst-case exposure and how quickly drawdowns might be repaid.
Understanding which model you're being offered is critical, because “how much you can get” and “what it really costs” are calculated differently across each structure. A 12% revenue share on a cash advance and a 12% APR on a line of credit are fundamentally different propositions. With that context established, let's walk through the actual step-by-step process lenders use to move from your raw data to a finished offer.
The Step‑by‑Step Process: How Ecommerce Lenders Calculate Offers
Regardless of the specific lender, most ecommerce-focused fintechs follow a similar multi-stage journey: data connection, performance evaluation, forecasting, offer construction, and final checks. The subsections below walk through this process in chronological order, from the moment you click “apply” to the moment you see a number on screen.
Step 1: Connecting Your Sales, Banking, and Marketing Data
Modern ecommerce lenders start with API-based connections instead of requesting PDFs, spreadsheets, or tax returns. When you apply, you're typically asked to grant read-only access to:
- Commerce platforms (Shopify, Amazon, Magento, WooCommerce, BigCommerce).
- Payment processors (Stripe, PayPal, Adyen, Klarna).
- Business bank accounts via open banking or Plaid-style connectors.
- Ad platforms (Meta Ads, Google Ads, TikTok Ads) where relevant for assessing marketing spend and efficiency.
This step often takes only a few minutes for the founder, but it gives lenders months of granular daily data: gross sales, refunds, platform fees, net payouts, and bank account cash balance swings. No formal business plan or pitch deck is typically required. Our application, for example, asks you to connect sales platforms like Shopify, Amazon, and Stripe plus bank accounts, with no need for tax returns or investor materials. Ecommerce lenders analyze real-time digital sales data for loan offers, which is what makes fast decisions possible, often within a day rather than weeks.
Step 2: Evaluating Store Performance and Managing Cash Flow Health
Once data is flowing, the lender's underwriting engine begins analysing several layers of performance. Sales performance is evaluated through metrics such as average order value and transaction counts, alongside broader patterns:
- Revenue trends: monthly recurring revenue, 3–12 month growth rate (CAGR), and seasonality patterns that reveal whether growth is real or cyclical.
- Order metrics: AOV, order frequency, and the mix of one-off versus repeat buyers. High repeat purchase rates suggest brand loyalty and product quality, which reduces risk in the lender's model.
- Refunds and chargebacks: return rates, dispute frequency, and their timing across channels. High return rates raise red flags regarding potential quality control issues and eat into the revenue base the lender is sizing against.
- Cash flow: bank inflows and outflows, existing debt repayments, payroll, and supplier payments. Cash flow patterns and operational stability are vital for assessing business risk.
Wayflyer's underwriting process, for example, explicitly assesses cash flow, current and forecasted revenue, marketing spend, and overall company health from connected performance data. Onramp-style lenders lean heavily on real-time store performance and de-emphasise traditional credit scores, since e commerce financing considers digital sales data, not just credit scores.
The goal at this stage is to estimate “safe” repayment capacity under both normal and slightly stressed sales scenarios, building a picture of how much actual cash the business generates after all obligations are met.
Step 3: Forecasting Future Sales and Stress‑Testing Scenarios
Lenders use historical data plus seasonality and marketing signals to project the next 6–12 months of sales. Typical forecasting inputs include:
- Last 6–18 months of sales by month, weighted toward recent trends.
- Known peak periods (e.g., Q4 for gift-oriented brands, summer for outdoor products).
- Planned marketing campaigns and current ROAS/CAC metrics to gauge whether ad spend is scalable or already approaching diminishing returns.
Critically, lenders don't just run a rosy forecast. They model downside scenarios (sales 10–30% below forecast) to ensure repayments remain affordable even during a cash crunch. Seasonal fluctuations can create significant cash flow challenges for ecommerce brands, and lenders account for this by testing whether a brand can service its repayment obligations during the weakest projected months, not just the strongest.
The output is a forecast revenue curve that becomes the backbone for maximum advance size and repayment profile. If a brand's numbers can't survive a moderate downturn without repayments straining cash flow, the lender either reduces the offer or adjusts the repayment structure.
Step 4: Setting the Maximum Offer Size
Loan amounts are often calculated as a percentage of gross revenue. Many ecommerce lenders cap advances as a multiple of monthly revenue or projected campaign ROI. Common benchmarks include:
- 1–4× average monthly revenue over the last 3–6 months, adjusted for margins and volatility.
- A percentage of projected inventory or marketing needs for a specific period (e.g., Q4 stock build or a significant marketing effort ahead of peak season).
Risk factors such as high refund rates, thin profit margins, heavy concentration on a single platform or SKU, or existing debt can reduce the maximum offer. Conversely, higher-quality data (clean books, consistent growth, diversified channels) can increase the multiple and speed of approval.
Example scenario: A brand generating $300k per month in gross revenue with healthy margins and diversified sales channels might see an offer in the $300k–$600k range. E-commerce financing can provide up to $600,000 in funding depending on the lender and the brand's risk profile. But if that same brand has a 15% refund rate and 90% platform concentration, the offer could drop to $150k–$250k.
Step 5: Constructing the Pricing – Factor Rates, Fees, and Repayments
This is where many founders get confused. Different lenders use different pricing metrics (factor rate, flat fee, or APR), which can make two offers look incomparable even when they cost roughly the same. Fee structures may involve flat factor rates or APR based on risks and data. Also check for origination fees when comparing the total financing cost.
Here are the three most common pricing structures:
- Factor rate: A multiplier applied once to the advance amount (e.g., 1.2–1.4×), with the total repaid over time via revenue share or fixed debits. The total repayment is fixed at the outset and doesn't grow.
- Flat fee term advances: A single fee (e.g., 0.7–1% per month) added to principal, repaid over fixed instalments. Straightforward but less flexible if sales dip.
- Classic interest-bearing loans with APR: Interest compounds over time, and the total cost depends on how long the balance is outstanding. Business lines of credit and some term loans use this model.
Understanding which pricing structure you're looking at is essential before comparing offers, and the next section breaks down factor rate mechanics with a concrete example.
Inside the Numbers: How Factor Rates and Repayments Really Work
Factor rates are the most common pricing mechanism in e commerce funding, particularly for cash advances and revenue-based financing, and they're also the most frequently misunderstood. Founders accustomed to interest rates on traditional loans or business credit cards often misread factor rates, either overestimating or underestimating the true cost. This section uses a specific worked example to make the math transparent.
What Is a Factor Rate and How Is It Applied?
A factor rate is a multiplier applied once to the amount advanced. Unlike an annual interest rate, it doesn't compound over time. Total repayment equals the advance amount multiplied by the factor rate, and that total is fixed from day one.
Here's the concrete example:
- $50,000 advance at a 1.3 factor rate.
- Total to repay = $50,000 × 1.3 = $65,000, regardless of whether repayment takes 4 months or 12 months.
- The $15,000 difference is the flat cost of capital, and it doesn't grow if repayment slows down.
This is fundamentally different from APR-based products where you pay interest on the outstanding balance and total cost increases the longer you hold the debt. However, the speed of repayment does affect the effective annual cost: if you repay $65,000 in 4 months, the annualised cost is much higher than if you repay it over 12 months. That's why converting factor rates to an implied APR still matters for comparison.
How Revenue‑Based Repayment and Merchant Cash Advances Work in Practice
With a revenue-based repayment structure, you agree to share a fixed percentage of gross sales (e.g., 10–20%) until the total repayment amount ($65,000 in our example) is fully repaid. Repayments adjust based on sales volume fluctuations: on high-sales days you repay more; during slow sales periods you repay less.
Here's how it plays out month by month:
- Month 1: $200k in sales, sharing 10% → $20k repaid. Remaining: $45k.
- Month 2: $150k in sales → $15k repaid. Remaining: $30k.
- Month 3: $100k in sales (a slower month) → $10k repaid. Remaining: $20k.
- Month 4: $180k in sales → $18k repaid. Remaining: $2k.
- Month 5: Quickly cleared with early sales.
Lenders like Onramp use real-time store data to calibrate the revenue share percentage so it doesn't crush daily or weekly revenue during normal operations. If monthly revenue drops significantly, repayment stretches out rather than creating a fixed payment you can't meet, a structure often better aligned to ecommerce volatility than rigid term loans.
This performance-linked approach means that businesses with strong revenue growth can benefit from revenue-based financing by repaying quickly and moving on to new rounds of capital, while brands experiencing temporary dips aren't strangled by inflexible obligations.
Comparing Factor Rate Offers With APR‑Based Loans
When founders receive two offers side by side (one factor-rate-based, one APR-based), the numbers can look wildly different even if the actual cost is similar. Here's a qualitative comparison:
- Factor rate offer: $50k at 1.3 factor (repay $65k total) over an estimated 6–9 months via revenue share.
- APR-based loan: $50k at a stated 18% APR over 12 months with fixed monthly payments, as one example of long term loans with fixed repayment schedules.
Key differences to understand:
- If the factor-rate advance is repaid very quickly (say 4 months), its annualised cost is far higher than the 30% headline fee suggests. The same dollar fee spread over 12 months yields a much lower annualised cost.
- The APR-based term loan's total cost depends on amortisation: early payments go more toward interest, and the total interest paid is clear from the schedule.
- Online loan calculators and ecommerce-specific tools can convert factor-rate cost into an estimated APR for apples-to-apples comparison. Ask the lender for total amount to be repaid and estimated repayment duration. Those two numbers, combined with the advance amount, are all you need to approximate the annualised cost.
The key takeaway: don't compare just “fee versus interest rate.” Compare total dollars repaid and approximate annualised cost for the period you plan to use the capital. A factor rate that looks cheap might be expensive if repaid fast; an APR that looks high might cost fewer total dollars over a short term.
With pricing mechanics clear, the next question is: why do two brands with the same revenue get different rates and limits?
Deeper Underwriting Inputs: What Really Drives Your Offer
Two ecommerce brands each generating $300k per month in revenue can receive very different offers: one might get $450k at a 1.2 factor, the other $150k at a 1.4 factor. The difference comes down to several risk and quality signals that move your offer size and price up or down.
Revenue Quality, Margins, and Seasonality
Lenders look well beyond topline revenue to assess:
- Gross margin percentage by product or channel. Brands with margins above 30–40% after cost of goods, shipping, and platform fees offer more cushion for repayment. Thin margins force lower advance multiples.
- Concentration risk: If 90% of sales come from a single SKU, a single marketplace, or a single country, the lender sees elevated risk. Diversified, omnichannel brands (selling DTC plus through marketplaces) typically receive higher funding multiples and better pricing.
- Seasonality strength: A brand with heavy Q4 skew (say 40–50% of annual revenue in November and December) needs more conservative underwriting for off-peak months. Steady sales throughout the year generally support more flexible repayment options and better factor rates.
Sales volume and revenue consistency signal a business's capacity to service debt. Lenders evaluate risks associated with over-reliance on a single advertising channel or sales platform, and adjust accordingly.
Marketing Performance and Growth Efficiency
Efficiency in marketing is evaluated through customer acquisition cost versus lifetime value. Lenders pay close attention to:
- ROAS and CAC on Meta, Google, and TikTok campaigns: how efficiently the brand converts marketing spend into revenue.
- Blended CAC versus customer LTV or 6–12 month payback period.
- Organic versus paid traffic mix: more organic or repeat business reduces risk because growth isn't entirely dependent on ad spend.
Strong, repeatable marketing performance can justify larger offers aimed at scaling acquisition and better pricing, because future growth plans feel more predictable. Lenders like Wayflyer explicitly market this marketing-performance-driven approach; our underwriting is data-driven too, built on real sales and bank data.
Existing Debt, Obligations, and Cash Buffer
Ecommerce lenders consider existing financial obligations when calculating offers. Using bank data, they check:
- Existing loan repayments and their schedule, including any outstanding invoices or accounts receivable financing arrangements.
- Monthly fixed costs: payroll, rent, software subscriptions, 3PL logistics, supplier payments.
- Average and minimum cash balances over recent months. Cash flow coverage metrics determine a business's ability to repay new financing; consistently low cash reserves signal fragility.
High existing debt and thin cash cushions can lead to smaller offers, trigger higher pricing, or result in stricter repayment structures. Because we don't require a personal guarantee, the focus shifts even more onto the business's own cash generation, which makes managing cash flow and maintaining adequate reserves particularly important for applicants.
Operational and Platform Risk
Beyond financial metrics, lenders also factor in operational realities:
- Platform dependency: 100% reliance on a single marketplace versus a mix of DTC site plus marketplaces. Marketplace account health metrics impact loan offers directly due to their operational influence.
- Account health: Amazon suspension history, Shopify chargeback flags, or policy violations that could cut off revenue overnight.
- Supply chain risks: Very long lead times, single-factory dependency, or high inventory turnover risk. Inventory turnover reflects strong market demand and reduces risk of dead stock, so brands with healthy inventory cycles are viewed more favourably.
High platform or supplier risk may reduce offered amounts or lead to more conservative repayment assumptions, even when the topline revenue looks strong.
Common Challenges and How to Improve Your Offer
Many strong brands still receive smaller or more expensive offers than expected, often due to avoidable data gaps or structural issues. Here are the most common problems and practical actions founders can take before applying or renewing.
Problem 1: “My Offer Is Much Smaller Than I Need”
Typical reasons include:
- Short trading history (less than 6–9 months of connected data).
- Sharp recent revenue declines or volatile, unpredictable sales.
- High refund or chargeback rates that erode the usable revenue base.
Solutions:
- Wait 1–2 more stable quarters and reconnect data so the lender sees a clearer trend.
- Focus on stabilising a core SKU or channel to demonstrate consistent revenue performance.
- Clean up refund rates with better product pages, sizing guides, or quality control, since reducing return rates removes a red flag from underwriting.
- Working capital loans allow businesses to purchase inventory in advance during this stabilisation period, which can help establish the consistent sales patterns lenders want to see.
Problem 2: “The Pricing Looks Expensive or Confusing”
Confusion often comes from mixing factor rates, flat fees, and APRs: three different ways of expressing the cost of capital that aren't directly comparable without conversion.
Solutions:
- Ask each lender for two numbers: total amount to be repaid and estimated repayment duration based on your historic sales.
- Use an online APR or ecommerce loan calculator to estimate annualised cost from those inputs.
- Compare offers using total cost and repayment flexibility, not just headline “rate.”
- Set a maximum acceptable annualised cost based on expected ROI from purchasing inventory or scaling marketing campaigns. If the return on deployed capital exceeds the cost of financing, the deal makes economic sense regardless of whether it's structured as a factor rate or APR.
Problem 3: “Repayments Could Strain My Cash Flow”
Fixed repayments or an excessively high revenue share can create real pressure during slower months. E-commerce businesses often face cash flow gaps due to timing mismatches between when customers pay and when suppliers need payment.
Solutions:
- Negotiate a lower revenue share percentage over a slightly longer expected term, as most lenders will adjust within their risk parameters.
- Consider revenue-based structures rather than rigid term loans if your daily or weekly sales are volatile.
- Build a 3–6 month cash flow forecast including repayment scenarios before signing. Test what happens if revenue drops 20% for two consecutive months.
- Align funding purpose with structure: flexible repayment for marketing tests where outcomes are uncertain; fixed schedules for predictable inventory turns where you know when goods will sell.
Problem 4: “The Lender Doesn't Understand My Business Model”
Some lenders may misinterpret seasonality or launch cycles, flagging normal business stage patterns as risk.
Solutions:
- Provide a short note or call explaining your seasonality (e.g., “70% of revenue in Q4 is normal for our category, not a red flag”).
- Share upcoming purchase orders, confirmed retail partnerships, or marketplace launches that will drive near-term revenue.
- Choose lenders with clear ecommerce specialisation and direct integrations with your platforms, as they'll have seen your pattern before. Financing can help cover operational expenses during slow sales periods when your business model naturally generates less revenue.
How Uncapped Calculates Offers for Ecommerce and Digital Brands
To make the process concrete, here's how our underwriting works. It follows the same connection → evaluation → offer pattern described above, with specific details on timelines, requirements, and product structures. We provide non-dilutive capital for ecommerce brands with no equity and no personal guarantees, which makes us a straightforward example of modern e commerce funding in action.
Step 1: Connect Your Commerce and Finance Accounts
We ask brands to:
- Connect their primary sales platforms (e.g., Shopify, Amazon, Stripe, PayPal).
- Connect business bank accounts for cash flow analysis.
This takes minutes through secure, read-only integrations: no PDFs of tax returns, no business plans, no pitch decks. The data connection replaces the weeks of document gathering that traditional lenders require, and it gives our underwriting months of daily transaction-level data to work with.
Step 2: Data‑Driven Evaluation of Revenue and Cash Flow
Our underwriting:
- Uses real sales and bank data: around 200,000 platform data points, 100,000 banking data points and 2,000 accounting data points per decision. You need 6+ months of trading; Amazon sellers typically need $10K+ a month in sales, Walmart sellers $5K+, and other online brands typically $100K+.
- Assesses revenue trends and seasonality from your sales data.
- Evaluates cash flow health and existing obligations from your bank data.
Founders don't need perfect books, but clean, connected data, with all relevant platforms linked, gives us the clearest picture of the business. Our decisions are driven by real sales and bank data rather than personal credit scores or collateral, and applying doesn't affect your credit score.
Step 3: Building the Offer – Amount, Structure, and Pricing
We:
- Size the offer from your real sales and bank data, anywhere from $10K to $2M.
- Offer three main structures: Term Loans (UK and US, one fixed fee from 0.7% per month, terms up to 24 months), a Cash Advance (US only, $10K to $100K, one fixed fee agreed upfront and repaid as a fixed share of sales between 5% and 25%, collected weekly or every 14 days), or a Line of Credit (US only, $25K to $2M, fixed APR from 12.99%, and you only pay interest on what you use).
- Show the full cost upfront: one fixed fee on Term Loans and Cash Advance, no hidden fees and no equity taken.
You get a decision within 24 hours, and many Amazon offers arrive in minutes. There are no restrictions on how the money is spent; typical use cases include purchasing inventory, scaling marketing campaigns, covering purchase orders, funding international expansion, or hiring during growth phases.
Inventory financing allows businesses to stock products without depleting cash reserves, and invoice financing frees up cash tied up in unpaid customer invoices. Our products address these same underlying needs, with offers sized on your sales and bank data rather than on stock or invoices.
Step 4: Ongoing Monitoring and Renewals
Because we stay connected to your live sales data, existing customers can top up or refinance once part of their loan is repaid.
This monitoring is used to right-size support, not to micromanage operations. Cash flow and payout velocity indicate a business's health and customer activity, and we use those signals to make sure ongoing financing remains appropriate. US Amazon sellers can also choose Amazon Automated Repayment, a repayment method where repayments are collected directly from Amazon disbursements before they reach the bank account, simplifying the collection process.
Conclusion and Next Steps
Ecommerce lenders calculate offers using real-time sales and cash flow data pulled directly from connected platforms, model future revenue under both optimistic and stressed scenarios, and then structure the advance amount and pricing via factor rates, flat fees, or APRs, each calibrated to the risk and margin profile the data reveals. The entire process, from connection to offer, can happen within a day rather than the weeks or months required by traditional lenders.
Founders evaluating alternative financing offers should focus on two things: understanding the inputs (data connections, margins, marketing performance, and existing obligations) and decoding the outputs (total repayment amount, implied annualised cost, and repayment flexibility during slow months).
Here are your immediate next steps:
- Connect all relevant sales and bank accounts in one place and ensure data is clean, because gaps or disconnected platforms reduce your offer.
- Map out a 6–12 month cash flow forecast including potential repayment obligations under both normal and downside scenarios.
- Request total repayment amount and estimated repayment duration from each lender, then compare on effective cost and flexibility, not headline rates.
- If relevant, explore an Uncapped offer by completing the online application and connecting your accounts.
For deeper exploration, consider reading about revenue based financing mechanics, how working capital loans address cash flow gaps, or alternatives to bank loans for a broader view of business funding options available to ecommerce brands.
Additional Resources
These are optional but helpful for founders who want to go deeper on pricing, comparisons, and preparation:
- Factor rate vs APR explainer: Worked examples beyond the $50k / 1.3× case covered above, including how repayment speed changes effective cost.
- Data preparation checklist: Before applying for any ecommerce funding, gather your platform credentials (Shopify, Amazon, Stripe), bank login for open banking connection, and key KPIs: monthly revenue by channel, refund rate, gross margin, and current debt obligations.
- ROI forecasting guide: Map expected returns from inventory purchases or marketing spend against the cost of capital to determine whether an offer “pays for itself.” If a $50,000 inventory buy generates $80,000 in gross profit within six months, a $15,000 financing cost may be well worth it.
- Our “How it works” page: See the full application, data connection, and funding journey in one place.
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