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Calcimator

Embedded Finance ROI Calculator

Revenue from embedded financial services in platforms.

About this calculator

This models the business case for a software platform bolting on financial products — payments, lending, or both — rather than leaving that revenue to a bank or payment processor. It sums three separate revenue streams: embedded payments revenue, calculated as the share of users who adopt payments times their average monthly spend, multiplied by your interchange share in basis points (a typical banking-as-a-service split runs 50-150 bps, i.e. 0.5-1.5% of volume processed); embedded lending revenue, from the share of users who take a loan or BNPL offer times average loan size times your net margin on that lending (the spread after defaults); and a retention-value term, which multiplies your existing baseline revenue (monthly active users times current ARPU) by an assumed retention-lift percentage, capturing the idea that offering financial features reduces churn even among users who don't take the payment or lending product directly.

Net monthly ROI subtracts your integration cost — the ongoing BaaS platform, engineering, and compliance spend — from total revenue, and payback period divides integration cost by that net figure. The retention-value assumption is the softest number in the model and the easiest to get wrong: it's not observed, it's an input you supply, so treat the 8% default skeptically and lean on your own churn data or a conservative estimate rather than industry-quoted ranges, since retention lift is notoriously hard to isolate from other product changes happening at the same time.

Inputs

%
%
%
%

Results

Total monthly revenue

$242,500.00

Net monthly ROI

$227,500.00

Annual net ROI$2,730,000.00
ARPU uplift ($/mo)$4.85
ARPU uplift (%)19.4%
Payment interchange revenue$30,000.00
Lending revenue$112,500.00
Retention value$100,000.00
Payback Months0.07
How to Use This Calculator
  1. Enter Monthly active users, Current ARPU ($/mo), and Payment adoption (%).
  2. Set Avg monthly spend ($), Interchange share (bps), and Lending adoption (%).
  3. Adjust Avg loan size ($), Lending margin (%) as needed.
  4. Review Total monthly revenue ($) and Net monthly ROI ($).
  5. Use Annual net ROI ($) and ARPU uplift ($/mo) ($) to inform your decision.

How the result changes with Monthly active users

Monthly active usersTotal monthly revenueNet monthly ROI
25,000$121,250.00$106,250.00
37,500$181,875.00$166,875.00
75,000$363,750.00$348,750.00
125,000$606,250.00$591,250.00

What each input means

Monthly active users
Number of monthly active users on your platform.
Current ARPU ($/mo)
Current average revenue per user per month (before embedded finance).
Payment adoption (%)
Percentage of users expected to adopt embedded payment features (cards, wallets).
Avg monthly spend ($)
Average monthly transaction volume per user through embedded payments.
Interchange share (bps)
Your share of interchange revenue in basis points (100 bps = 1%). Typical BaaS share: 50-150 bps.
Lending adoption (%)
Percentage of users expected to take an embedded loan or BNPL offer.
Avg loan size ($)
Average loan amount for embedded lending products.
Lending margin (%)
Net margin on lending (origination fee or interest spread minus defaults).
Integration cost ($/mo)
Monthly cost of embedded finance infrastructure (BaaS platform, engineering, compliance).
Retention lift (%)
Expected improvement in user retention from offering financial services. Studies show 5-15% lift.

What each result means

Total monthly revenue
Combined revenue from embedded payments, lending, and retention improvement.
Net monthly ROI
Revenue minus integration and infrastructure costs.
Annual net ROI
Projected annual net return from embedded finance.
ARPU uplift ($/mo)
Additional revenue per user per month from embedded finance.
ARPU uplift (%)
Percentage increase in ARPU from embedded finance.
Payment interchange revenue
Monthly revenue from embedded payment interchange share.
Lending revenue
Monthly revenue from embedded lending margin.
Retention value
Incremental revenue from improved user retention.

How this is calculated

Worked example, using the default values

  1. Identify Input Parameters
    4 parameters
    Monthly active users = 50000, Current ARPU ($/mo) = 25, Payment adoption (%) = 30, Avg monthly spend ($) = 200 = 10 input(s) provided
  2. Calculate Total monthly revenue
    Total monthly revenue = paymentRevenue + lendingRevenue + retentionValue
    242500 = $242,500
  3. Calculate Net monthly ROI
    Net monthly ROI = totalMonthlyRevenue - integrationCostMonthly
    227500 = $227,500
  4. Calculate Annual net ROI
    Annual net ROI = netMonthlyROI * 12
    2730000 = $2,730,000
  5. Calculate ARPU uplift
    ARPU uplift = monthlyActiveUsers > 0
    4.85 = $4.85

Engine last updated . Checked against 2 independently-derived tests — how we verify calculators. Built by Paul Gunder, a software engineer, not a licensed financial, medical, or legal professional.

Frequently Asked Questions

Why does the calculator count retention value as revenue when no new money is changing hands?

Retention value represents baseline revenue you'd otherwise lose to churn — if embedded finance features keep users on your platform who would have left, that's revenue you keep rather than revenue you gain, but it's economically identical to new revenue for ROI purposes. The calculator applies your retention-lift percentage to your existing monthly active users times current ARPU, so it only ever recovers a share of revenue you already had, never revenue beyond your current base.

What's the difference between payment adoption and interchange share, and why do both matter?

Payment adoption is the percentage of your users who actually use the embedded payment feature at all, which determines how much total spend flows through it; interchange share in basis points is the cut of that spend your platform actually keeps after the card networks, issuing bank, and BaaS partner take theirs. A platform with high adoption but a thin negotiated interchange share can generate less revenue than one with lower adoption but a richer split, which is why the calculator multiplies the two together rather than treating adoption alone as the revenue driver.

How is payback period calculated, and what does a payback of 'Infinity' mean?

Payback period divides your monthly integration cost by net monthly ROI (total revenue minus integration cost), showing how many months of net profit it takes to recoup a month's infrastructure spend. If net monthly ROI is zero or negative — meaning your combined payment, lending, and retention revenue doesn't even cover the integration cost — the calculator returns Infinity, since the investment would never pay itself back at that revenue level.

Why should I be skeptical of the default 8% retention lift more than the other inputs?

Payment and lending revenue are grounded in transaction-level math you can verify against your own data — adoption rate times spend times a real interchange or margin split. Retention lift, by contrast, is a behavioral assumption about how many users would have churned without the financial features, which is genuinely hard to isolate from other product changes happening at the same time, so it's the input most likely to overstate the model's ROI if left at the default without backing it against your own churn cohort data.

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