PRIVATE BROWSER TOOL
Advertising CSV analyzer
Analyze spend, attributed revenue, total revenue, conversions, refunds and new customers without uploading the file.
The ROAS field guide
Understand the return, account for the costs, and check the evidence. Find a practical answer for the decision in front of you.
Make the number meaningful before comparing campaigns.
Start with costs, then decide what needs to remain.
Check the data, then identify what changed.
Interactive workflow
These tools produce reproducible calculations instead of generic performance benchmarks.
PRIVATE BROWSER TOOL
Analyze spend, attributed revenue, total revenue, conversions, refunds and new customers without uploading the file.
PLANNING TOOL
Compare actual spend with a straight-line plan and calculate a month-end projection.
AMAZON TOOL
Use product price, referral fees and fulfillment costs to find a product-specific ceiling.
Browse the library
56 guides across 5 topics
Try a broader metric such as ROAS, margin or refunds.
Calculate return on ad spend from matching revenue and spend, interpret the result, and avoid common reporting mistakes.
Compare ROAS with a clearly defined ROI calculation using one worked campaign, and learn which costs each measure includes.
Judge ROAS against contribution margin, overhead, customer mix, and the purpose of a campaign instead of copying a benchmark.
Convert ROAS between a ratio and a percentage, distinguish revenue from profit, and avoid percentage-point mistakes.
Understand the reciprocal relationship between ACOS and ROAS, with worked conversions and a margin-based break-even check.
Calculate a clearly defined blended revenue-to-spend ratio and distinguish it from campaign-attributed ROAS.
Derive revenue per click from order value and conversion rate, then compare it with click cost and contribution.
Distinguish assigned advertising revenue from estimated additional revenue and understand the role of a counterfactual.
Calculate break-even ROAS from order revenue and variable costs, see margin scenarios, and distinguish the floor from a profit target.
Calculate a break-even and target cost per order from revenue, variable costs, and the contribution you need to retain.
Avoid confusing margin with markup when estimating an advertising budget, and include costs beyond the product itself.
Separate order contribution from whole-business break-even and show how allocated overhead changes a ROAS planning target.
Calculate how a lower selling price changes contribution, acquisition allowance, and the volume needed to preserve contribution.
Account for shipping revenue, carrier costs, packaging, percentage fees, and fixed transaction charges without double counting.
Calculate a blended break-even threshold from actual revenue and contribution instead of averaging product-level ratios.
Derive a ROAS target that reserves a specified share of revenue after variable costs and advertising, with feasibility checks.
Choose a clear revenue horizon for subscription advertising and compare realized contribution with acquisition cost.
See how including collected tax changes a ROAS ratio and how to document a consistent revenue and cost basis.
Reconcile canceled and unpaid orders with advertising revenue without subtracting the same reversal twice.
Estimate a clearly labeled returns reserve from mature order cohorts and replace forecasts with actual refunds as they arrive.
Understand how impression cost, click-through rate, and cost per click fit together, and why cheap traffic may not be profitable.
Separate click-based, session-based, and lead-based conversion rates and calculate their effect on advertising returns.
Calculate AOV and separate revenue gains from the extra costs, discounts, and conversion changes behind larger orders.
Define customer acquisition cost separately from cost per action or order, with a new-customer example and cost-scope checklist.
Use observed close rates and customer value to model leads, while separating estimates from realized revenue and contribution.
Build a bounded customer-value model using observed contribution, repeat purchases, and acquisition payback instead of gross revenue alone.
Calculate an affordable CPC from orders per click and order contribution, then reserve a contribution target before bidding.
Estimate an affordable impression cost using CTR, order rate, and order value, with consistent percentage units.
Solve for the required orders-per-click rate from CPC, average order value, and a ROAS target, and check whether the goal is realistic.
Work backward from acquisition cost or click economics to the order value required for a ROAS goal, then check margin and volume.
Reconcile gross sales, discounts, and refunds to a defined net revenue figure and compare equally mature order cohorts.
Compare platform and store reports systematically using revenue definitions, attribution, dates, currencies and event-level evidence.
Calculate aggregate ROAS from total revenue and spend and understand why averaging campaign or daily ratios can mislead.
Explain how conversion windows affect reported ROAS and document interaction types and timing before comparing campaigns.
Distinguish immature conversion data from finalized performance and compare reporting periods at a consistent age.
Reconcile purchase events to orders, inspect transaction identifiers, and distinguish duplicates from multiple valid purchases.
Calculate ROAS on one currency basis, document exchange-rate assumptions, and separate currency effects from campaign performance.
Build a reproducible campaign review with revenue, spend, contribution, data maturity, and a clearly stated next decision.
Define new-customer revenue, choose an explicit spend denominator, and distinguish first-order ROAS from CAC and lifetime value.
Compare branded and non-branded search performance with explicit grouping rules, customer mix, and incremental-value limitations.
Interpret returns from new-audience and prior-visitor campaigns without assuming equal intent or causal impact.
Track revenue from acquisition cohorts over a fixed horizon and avoid comparing mature groups with newly acquired customers.
Distinguish pipeline value, probability-weighted forecasts, and realized revenue when reporting returns from B2B advertising.
Build a consistent offline sales ROAS report by matching leads, completed sales, acquisition dates, and advertising costs.
Use consistent UTM campaign labels while recognizing that URL tags alone do not measure sales or import advertising costs.
Audit revenue events, order status, currencies, spend scope, and attribution when a ROAS report looks unexpectedly high or low.
Calculate revenue change per added spend and distinguish a before-and-after comparison from a causal incremental return.
Translate a revenue objective into a spend scenario, then check margin, conversion assumptions, and the limits of linear scaling.
Vary conversion rate, order value, click cost, and contribution margin to understand a campaign model without inventing forecasts.
Check measurement, traffic cost, conversion rate, order value, and margins in a logical sequence before selecting an intervention.
Plan a bounded advertising experiment with consistent measurement, cost-aware outcomes, and honest treatment of uncertainty.
Understand the difference between an economic requirement, a platform bidding target, and the ROAS actually reported.
Evaluate whether a higher basket value covers the shipping subsidy, extra product costs, and possible conversion changes.
Compare advertising creatives with attention to delivery mix, sample size, conversion delay, and contribution rather than a raw ROAS leaderboard.
Investigate how unavailable products, substitutions, and changing product mix affect observed advertising returns.
Separate calendar changes, discount economics, and conversion timing when interpreting seasonal advertising performance.