eCommerce ROI Dashboard

9 min read

The Commerce ROI Dashboard is an interactive financial calculator designed for e-commerce and retail leaders. It calculates whether introducing add-on tech such as interactive or shoppable videos across product pages produces enough incremental gross profit to justify its software and implementation costs, and how long that payback will take. Once inputs are entered, the dashboard instantly processes the data locally in your browser and displays the financial metrics.

Industry Contents · Interactive Tool

Calculate the conversion lift required for an interactive-video deployment to recover its costs within your modeled period.

Illustrative example Beta Updated Aug 2026 Inputs stay in your browser

See calculation logic and methodology

Methodology updated August 2026 · Scenario-based · Calculations run locally in your browser. Inputs are not stored.

1Operating baseline

2Deployment plan

3Scenario assumptions

4Investment and cost

Operating baseline

Your current traffic, order economics and margin, before any change.

Monthly PDP sessions ?

Sessions per month on eligible product pages, not total site traffic.

Average order value ?

Your typical order size today.

Conversion rate ?

Orders divided by sessions today, with no video.

Gross margin ?

Percent of revenue kept as gross margin.

Optional inputs

Modeled business case

Calculating…

Complete the steps to generate a result.

Net margin contribution—

Break-even lift—

Selected lift—

Payback—

Margin of safety

Calculating your headroom above break-even.

Modeled business case

12-month scenario based on your current inputs.

Estimate, not proven

Cumulative cash flow

The point at which cumulative contribution crosses zero represents modeled payback.

Contribution bridge

How incremental gross margin, return-cost effects and total investment combine to produce the modeled result.

Net margin contribution by scenario

12-month outcome under the downside, base and upper conversion-lift assumptions. The downside bar can fall below zero.

Net margin contribution

not set

Modeled 12-month net profit after platform & operating costs.

Return on investment

not set

Modeled return per dollar invested.

Payback period

not set

The first month cumulative contribution exceeds cumulative cost.

Complete the steps above to generate a decision implication.

Want the five cases behind the assumptions?

Five named retailer case studies
Real, vendor-reported conversion and engagement results
Unlocks the exportable summary of your modeled case
Sent straight to your inbox

The reported results come from vendors and participating retailers. They provide commercial context, not independent proof of likely performance.

Used only to send the requested briefing.

Sensitivity analysis. Test how the business case changes when the conversion assumption changes.

Selecting a case updates every output using the corresponding conversion-lift assumption.

not set modeled incremental revenue not set gross-margin assumption not set relative lift required to break even Include discounted cash flow (NPV)

Complete the steps above to generate the modeled business case.

The result is sensitive to the assumed conversion lift. It should be treated as an investment threshold to test, not as an expected commercial outcome.

Assumptions used

Every number behind this result, and where it came from.

Assumption	Value	Type	Source / status

Creates a link containing the model values above. No company data is uploaded to a server; the values are encoded directly in the URL, so anyone with the link can read them.

Hide monthly cash flows

Month	Coverage	Exposed sessions	Extra retained orders	Margin contribution	Cost	Net cash flow	Cumulative

Hide scenario comparison table

Case	Lift	Total margin contribution	Total cost	Net margin contribution	ROI	Payback

Methodology updated August 2026

Core financial rules and calculation logic

This model exists to answer one question a finance team will always ask: not whether shoppable video is engaging, but whether it produces enough incremental gross profit to justify its cost, and by when. Every rule below keeps that answer honest, defensible, and free of the estimation errors most vendor ROI claims quietly rely on.

Exposure-adjusted population

Impact is only calculated for the share of traffic that could realistically see and load the experience. Coverage, then valid impression rate, narrow the eligible audience before any conversion lift is applied. This stops a partial rollout from being credited with a sitewide result, a common inflation error in vendor-supplied projections.

Margin-first accounting

Every dollar of incremental revenue is converted into modeled margin contribution using your gross margin before it enters any output. Revenue is not profit, and this model never presents it as such.

Counterfactual baseline

Every additional order is measured against what the same audience would have converted at anyway, under its existing baseline rate. This isolates the incremental effect of the program from orders that would have happened regardless.

No double-counting

Incremental retained orders and reduced-return effects are calculated once, from a single reconciled order flow. Extra orders and fewer returns are never stacked as if they were independent benefits.

Incrementality over attribution

Revenue tied to a video view is filtered to isolate true incremental lift rather than correlation. Viewer conversion alone is not accepted as proof: viewers self-select and are typically more purchase-ready before they see the content, a bias known as selection bias. Only a controlled, randomized or carefully matched comparison confirms causality.

Cost timing discipline

One-time costs such as implementation are recognized in the exact month they are paid, never smoothed across the period. Recurring costs are only counted while the contract term is active.

Liquidity and payback focus

The headline metric is the exact month of cost recovery, prioritized because it reflects real-world cash flow risk more directly than a distant multi-year return figure. A discounted cash flow (NPV) view is available under an optional toggle.

Break-even as a threshold

The model solves, by iterative approximation, for the minimum conversion lift required to fully recover the investment. That figure is a testable commercial threshold to validate in a pilot, not a hopeful projection.

Three independently modeled cases

Downside, base and upper conversion-lift assumptions are run through the identical calculation engine and identical cost base, so comparisons are apples-to-apples. The base case is never labelled typical unless the evidence supports that expectation.

Sensitivity awareness

Coverage and conversion lift are the two assumptions with the largest influence on the outcome. Program cost has a moderate effect, and return-rate change typically has the smallest.

Governance, not automation

The model surfaces the numbers and their assumptions in full. It does not, and will not, recommend whether to scale, revise, extend testing, or stop. That decision requires business judgment this tool does not have.

On your data: every calculation on this page runs locally in your browser using JavaScript. Your traffic, revenue, margin, and cost inputs are never transmitted to or stored on our servers. The only exception is if you choose to submit your email to receive the case-study briefing or a scenario link, an action you take explicitly and separately from running the model.

Cumulative cash flow

Built by Industry Contents, from the reporting behind What Video Commerce Must Deliver to Pay for Itself.

Cumulative cash flow

Contribution bridge

Net margin contribution by scenario

Assumptions used

Before you scale

Core financial rules and calculation logic

Cumulative cash flow