{"uid":"cap_sIw-2uB-gBoAjnHfQt1EI","slug":"marketing-contribution-return-benchmark-correlation-calculator-1b4ff5e6","name":"Marketing Contribution Return – Benchmark Correlation Calculator","description":"Marketing contribution return - Benchmark correlation: Calculate Pearson correlation against aligned supplied benchmarks; no causal or predictive claim. Metric: Marketing contribution return. Supplied figures only; returns JSON with formula, units and limitations. One of 50 calculators with 20 analysis modes. No live feed, financial advice or trade execution. 0.01 USDC includes one bounded benchmark correlation report.","url":"https://market.datapackvibe.com/x402/assistant-finance-marketing-return-correlation?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["attributed_contribution","marketing_spend"],"properties":{"marketing_spend":{"type":"number","default":5000,"maximum":1000000000000,"minimum":0,"description":"Amount in a consistent supplied currency and reporting period","exclusiveMinimum":0},"attributed_contribution":{"type":"number","default":8000,"maximum":1000000000000,"minimum":-1000000000000,"description":"Amount in a consistent supplied currency and reporting period"}},"additionalProperties":false},"default":[{"marketing_spend":5000,"attributed_contribution":8000},{"marketing_spend":5500,"attributed_contribution":8800},{"marketing_spend":5000,"attributed_contribution":8000},{"marketing_spend":5500,"attributed_contribution":8800}],"maxItems":200,"minItems":2},"benchmarks":{"type":"array","items":{"type":"number","default":1,"maximum":1000000000000000000,"minimum":-1000000000000000000},"default":[10,20,30,40],"maxItems":200,"minItems":2}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_T6Pzot5YjVg0NhJxUH0Le","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Calculates the Pearson correlation between marketing contribution return figures and a set of user-supplied benchmark values, returning a JSON report with formula, units, and stated limitations.","exampleAgentPrompt":"I have 4 periods of marketing data — spends of $5,000, $5,500, $5,000, $5,500 with attributed contributions of $8,000, $8,800, $8,000, $8,800 — and benchmark values of 10, 20, 30, 40. Can you calculate the Pearson correlation between my marketing contribution return and those benchmarks and give me the formula and limitations?","exampleUseCases":[{"title":"Quarterly marketing return vs market index","prompt":"I've got 6 quarters of marketing data: spends of 10000, 12000, 11000, 13000, 14000, 15000 with attributed contributions of 16000, 19000, 17500, 21000, 22500, 24000. My benchmark series is 100, 110, 108, 115, 120, 128. Can you run a Pearson correlation report between my marketing contribution return and those benchmarks, and tell me the formula and what the limitations are?"},{"title":"Seasonal campaign return correlation check","prompt":"We ran 5 seasonal campaigns with marketing spends of 8000, 9500, 7000, 11000, 10500 and attributed contributions of 12000, 14000, 10500, 16500, 15800. Our benchmark values are 50, 60, 45, 70, 65. Please compute the Pearson correlation between our marketing contribution return and those benchmarks and include the units and any stated limitations in the output."},{"title":"New channel attribution alignment test","prompt":"I want to see how well a new channel's marketing contribution return aligns with our internal benchmark. Spend figures are 3000, 4000, 3500, 5000 and attributed contributions are 4500, 6200, 5300, 7800 — benchmarks are 1.2, 1.5, 1.4, 1.8. Can you calculate the Pearson correlation and give me a bounded report with the formula and limitations?"}],"resultDescription":"A JSON object containing the Pearson correlation coefficient between the marketing contribution return series and the supplied benchmark values, along with the formula used, units, and explicit limitations (no causal or predictive claims are made). The report is bounded to the supplied figures only.","failureModes":["Fewer than 2 rows supplied — minimum is 2 data points","Benchmark array length does not match row count — arrays must be aligned","marketing_spend values of zero or below — exclusiveMinimum of 0 applies","attributed_contribution or benchmark values outside allowed numeric range","More than 200 rows or benchmarks supplied — maxItems limit exceeded","Malformed JSON body returns 400-level error","Payment not included or insufficient — 0.01 USDC required per call"],"whenToPreferThis":"Choose this endpoint when you need a bounded, formula-disclosed Pearson correlation between marketing contribution return figures and a user-supplied benchmark series, and you explicitly do not need causal inference, predictive modeling, or live data feeds. It is ideal for audit-ready statistical reports where transparency about formula and limitations is required, and where the analysis is confined strictly to the supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:38.500Z","isFirstParty":false,"canonicalSlug":"marketing-contribution-return-benchmark-correlation-calculator-1b4ff5e6"}