{ "id": "mvxVBIvdjGEVWgGX", "meta": { "templateCredsSetupCompleted": true }, "name": "Reconcile blended ROAS, MER and CAC (Meta, TikTok, Google live)", "tags": [], "nodes": [ { "id": "69fa3ad9-052e-4e35-b267-a65fb3216c18", "name": "Run manually", "type": "n8n-nodes-base.manualTrigger", "position": [ 31664, 5056 ], "parameters": {}, "typeVersion": 1 }, { "id": "af46f7f5-e04f-453c-9f1b-e8a6b79d2d1b", "name": "Set config: store revenue, new customers, extra platforms", "type": "n8n-nodes-base.code", "position": [ 31888, 5056 ], "parameters": { "jsCode": "// Date window + your true store numbers. Meta, TikTok and Google Ads are pulled\n// live below. Add any OTHER platforms manually in EXTRA_PLATFORMS.\nconst end = new Date();\nconst start = new Date(Date.now() - 30 * 864e5);\nconst fmt = (dt) => dt.toISOString().slice(0, 10);\nreturn [{ json: {\n DATE_PRESET: 'last_30d', // Meta window\n START_DATE: fmt(start), // TikTok + Google window\n END_DATE: fmt(end),\n STORE_REVENUE: 120000, // replace with a Shopify or Stripe node\n NEW_CUSTOMERS: 320, // replace with your real new-customer count\n EXTRA_PLATFORMS: [], // e.g. { platform: 'Snapchat', spend: 0, reported_revenue: 0 }\n} }];" }, "typeVersion": 2 }, { "id": "67458bd7-22ad-4dcb-a1b5-7d69c478ed6a", "name": "Fetch Meta spend & revenue (Meta)", "type": "n8n-nodes-base.facebookGraphApi", "position": [ 32112, 5056 ], "parameters": { "edge": "insights", "node": "={{ ($env.META_AD_ACCOUNT_ID || '').trim() }}", "options": { "queryParameters": { "parameter": [ { "name": "level", "value": "account" }, { "name": "date_preset", "value": "={{ $json.DATE_PRESET }}" }, { "name": "fields", "value": "spend,action_values" } ] } }, "graphApiVersion": "v21.0" }, "typeVersion": 1 }, { "id": "d65f56a4-a565-410c-8dc2-472bc7bd3195", "name": "Reconcile blended ROAS, MER & platform over-claim gap", "type": "n8n-nodes-base.code", "position": [ 33552, 5056 ], "parameters": { "jsCode": "// Compute the efficiency metrics every ecommerce operator actually tracks.\nconst { platforms, store_revenue, new_customers } = $json;\nconst total_spend = +platforms.reduce((n, p) => n + p.spend, 0).toFixed(2);\nconst total_reported = +platforms.reduce((n, p) => n + p.reported_revenue, 0).toFixed(2);\n\nconst blended_roas = total_spend ? +(store_revenue / total_spend).toFixed(2) : null; // real revenue / all ad spend\nconst mer = blended_roas; // marketing efficiency ratio\nconst blended_cac = new_customers ? +(total_spend / new_customers).toFixed(2) : null; // cost to acquire a customer\nconst over_claim = +(total_reported - store_revenue).toFixed(2); // platforms claim more than the store made\nconst over_claim_pct = store_revenue ? Math.round((over_claim / store_revenue) * 100) : null;\n\nconst byPlatform = platforms.map((p) => ({ ...p, reported_roas: p.spend ? +(p.reported_revenue / p.spend).toFixed(2) : null }));\nreturn [{ json: { total_spend, total_reported, store_revenue, blended_roas, mer, blended_cac, new_customers, over_claim, over_claim_pct, byPlatform } }];" }, "typeVersion": 2 }, { "id": "82904d0c-0510-4f37-b571-47532d4fa792", "name": "Build AI efficiency brief prompt", "type": "n8n-nodes-base.code", "position": [ 34112, 5056 ], "parameters": { "jsCode": "// Ask Claude for a short marketing-efficiency brief a founder can act on.\nconst m = $json;\nconst system = 'You are a growth-marketing analyst. Given blended ROAS, MER, blended CAC, and the gap between platform-reported and actual store revenue, write a 2-3 sentence executive read: is marketing efficient, how much are platforms over-claiming, and the single most important action. Terse and specific. Return ONLY JSON.';\nconst user = JSON.stringify(m) + '\\n\\nReturn JSON exactly: {\"verdict\":\"one sentence\",\"overclaim_note\":\"one sentence\",\"action\":\"one sentence\"}';\nconst body = { model: 'claude-haiku-4-5', max_tokens: 700, system, messages: [{ role: 'user', content: user }] };\nreturn [{ json: { body, _ctx: m } }];" }, "typeVersion": 2 }, { "id": "93007f54-ca68-4236-b75a-332776a7f7c5", "name": "Write marketing-efficiency brief with Claude AI", "type": "n8n-nodes-base.httpRequest", "position": [ 34384, 5056 ], "parameters": { "url": "https://api.anthropic.com/v1/messages", "method": "POST", "options": {}, "jsonBody": "={{ $json.body }}", "sendBody": true, "sendHeaders": true, "specifyBody": "json", "headerParameters": { "parameters": [ { "name": "x-api-key", "value": "={{ $env.ANTHROPIC_API_KEY }}" }, { "name": "anthropic-version", "value": "2023-06-01" }, { "name": "content-type", "value": "application/json" } ] } }, "typeVersion": 4.2 }, { "id": "ba81261a-df7a-4254-b3a1-5caec437184d", "name": "Overview", "type": "n8n-nodes-base.stickyNote", "position": [ 30720, 4720 ], "parameters": { "width": 764, "height": 572, "content": "## Reconcile blended ROAS, MER and CAC across ad platforms\n\n### How it works\n\nThis workflow reconciles the marketing-efficiency numbers that survive iOS attribution loss. It fetches real ad spend and platform-reported revenue from the Meta Marketing API (with Google Ads and TikTok slots to extend), joins your true store revenue and new-customer count, and computes blended ROAS, MER and blended CAC, plus the gap between what the platforms claim and what your store actually made. Claude then writes a short executive read.\n\n\n\n### Setup steps\n\n- Add META_ACCESS_TOKEN, META_AD_ACCOUNT_ID, META_API_VERSION and ANTHROPIC_API_KEY to your n8n environment.\n- In Config, replace STORE_REVENUE and NEW_CUSTOMERS with a Shopify or Stripe node, and the Google and TikTok placeholders with real ad-platform nodes.\n- Run the workflow manually, or attach a Schedule trigger for a daily brief.\n\n\n\n### Customization\n\nAdd more platforms in EXTRA_PLATFORMS. Swap the stdout report for a Slack or email node.\n\nBuilt by https://nocode.expert done-for-you automation and tracking. " }, "typeVersion": 1 }, { "id": "95ee39ac-d198-4347-8d05-d108d2727088", "name": "Section: Gather", "type": "n8n-nodes-base.stickyNote", "position": [ 31792, 4752 ], "parameters": { "color": 7, "width": 1388, "height": 528, "content": "## Configure and gather\nLoad settings and fetch real ad spend and platform-reported revenue, joined to your store revenue." }, "typeVersion": 1 }, { "id": "3b053dfd-d0d2-49d9-8867-6e368f4ba300", "name": "Section: Reconcile", "type": "n8n-nodes-base.stickyNote", "position": [ 33360, 4768 ], "parameters": { "color": 7, "width": 464, "height": 496, "content": "## Reconcile metrics\nCompute blended ROAS, MER, CAC and the platform over-claim gap." }, "typeVersion": 1 }, { "id": "2ed26c70-c2f6-4ec4-8995-3a39430951f6", "name": "Section: Brief", "type": "n8n-nodes-base.stickyNote", "position": [ 34000, 4768 ], "parameters": { "color": 7, "width": 580, "height": 528, "content": "## Write the AI brief\nBuild the prompt and have Claude write a short marketing-efficiency read." }, "typeVersion": 1 }, { "id": "9b5d2f3a-f4a9-4a47-8f0f-e22b529d65ce", "name": "Section: Report", "type": "n8n-nodes-base.stickyNote", "position": [ 34752, 4736 ], "parameters": { "color": 7, "width": 672, "height": 560, "content": "## Report\nPrint the blended ROAS and MER scorecard." }, "typeVersion": 1 }, { "id": "774ecdde-a90e-4e50-9430-f4adf6d9804d", "name": "Fetch TikTok spend & revenue", "type": "n8n-nodes-base.httpRequest", "position": [ 32336, 5056 ], "parameters": { "url": "https://business-api.tiktok.com/open_api/v1.3/report/integrated/get/", "options": {}, "sendQuery": true, "sendHeaders": true, "queryParameters": { "parameters": [ { "name": "advertiser_id", "value": "={{ $env.TIKTOK_ADVERTISER_ID }}" }, { "name": "report_type", "value": "BASIC" }, { "name": "data_level", "value": "AUCTION_ADVERTISER" }, { "name": "dimensions", "value": "[\"advertiser_id\"]" }, { "name": "metrics", "value": "[\"spend\",\"total_complete_payment_rate\"]" }, { "name": "start_date", "value": "={{ $('Set config: store revenue, new customers, extra platforms').first().json.START_DATE }}" }, { "name": "end_date", "value": "={{ $('Set config: store revenue, new customers, extra platforms').first().json.END_DATE }}" } ] }, "headerParameters": { "parameters": [ { "name": "Access-Token", "value": "={{ $env.TIKTOK_ACCESS_TOKEN }}" } ] } }, "typeVersion": 4.2 }, { "id": "2e62cd0b-9ca6-442c-bc20-8ea8a7e2cd9e", "name": "Get Google access token", "type": "n8n-nodes-base.httpRequest", "position": [ 32560, 5056 ], "parameters": { "url": "https://oauth2.googleapis.com/token", "method": "POST", "options": {}, "sendBody": true, "contentType": "form-urlencoded", "bodyParameters": { "parameters": [ { "name": "client_id", "value": "={{ $env.GOOGLE_ADS_CLIENT_ID }}" }, { "name": "client_secret", "value": "={{ $env.GOOGLE_ADS_CLIENT_SECRET }}" }, { "name": "refresh_token", "value": "={{ $env.GOOGLE_ADS_REFRESH_TOKEN }}" }, { "name": "grant_type", "value": "refresh_token" } ] } }, "typeVersion": 4.2 }, { "id": "566c27b1-72b0-429c-8c81-c165a4ac3dea", "name": "Fetch Google Ads spend & revenue", "type": "n8n-nodes-base.httpRequest", "position": [ 32784, 5056 ], "parameters": { "url": "=https://googleads.googleapis.com/v22/customers/{{ $env.GOOGLE_ADS_CUSTOMER_ID }}/googleAds:search", "method": "POST", "options": {}, "jsonBody": "={{ { \"query\": \"SELECT metrics.cost_micros, metrics.conversions_value FROM customer WHERE segments.date DURING LAST_30_DAYS\" } }}", "sendBody": true, "sendHeaders": true, "specifyBody": "json", "headerParameters": { "parameters": [ { "name": "Authorization", "value": "=Bearer {{ $('Get Google access token').first().json.access_token }}" }, { "name": "developer-token", "value": "={{ $env.GOOGLE_ADS_DEVELOPER_TOKEN }}" }, { "name": "login-customer-id", "value": "={{ $env.GOOGLE_ADS_LOGIN_CUSTOMER_ID }}" }, { "name": "content-type", "value": "application/json" } ] } }, "typeVersion": 4.2 }, { "id": "11a8ea9a-ca9d-41f8-b861-b4c0213e95e6", "name": "Assemble platform table", "type": "n8n-nodes-base.code", "position": [ 32992, 5056 ], "parameters": { "jsCode": "// Pull spend + reported revenue from all three live platforms into one table.\nconst cfg = $('Set config: store revenue, new customers, extra platforms').first().json;\n// Meta\nconst mRow = (($('Fetch Meta spend & revenue (Meta)').first().json.data)||[{}])[0] || {};\nconst REV = ['onsite_web_app_purchase','omni_purchase','offsite_conversion.fb_pixel_purchase','purchase'];\nconst mSpend = Number(mRow.spend)||0;\nlet mRev=0; for (const t of REV){ const av=(mRow.action_values||[]).find(a=>a.action_type===t); if(av){ mRev=Number(av.value)||0; break; } }\n// TikTok\nconst tt = ((($('Fetch TikTok spend & revenue').first().json.data)||{}).list||[{}])[0] || {};\nconst ttm = tt.metrics||{};\nconst ttSpend = Number(ttm.spend)||0;\nconst ttRev = Number(ttm.total_complete_payment_rate)||0;\n// Google Ads (cost_micros -> currency)\nconst g = ((($('Fetch Google Ads spend & revenue').first().json.results)||[{}])[0]||{}).metrics||{};\nconst gSpend = (Number(g.costMicros)||0)/1e6;\nconst gRev = Number(g.conversionsValue)||0;\nconst platforms = [\n { platform:'Meta', spend:+mSpend.toFixed(2), reported_revenue:+mRev.toFixed(2) },\n { platform:'TikTok', spend:+ttSpend.toFixed(2), reported_revenue:+ttRev.toFixed(2) },\n { platform:'Google', spend:+gSpend.toFixed(2), reported_revenue:+gRev.toFixed(2) },\n ...(cfg.EXTRA_PLATFORMS||[]),\n];\nreturn [{ json: { platforms, store_revenue: cfg.STORE_REVENUE, new_customers: cfg.NEW_CUSTOMERS } }];" }, "typeVersion": 2 }, { "id": "f7933011-0e99-44d4-958a-97afd00e94ba", "name": "Show blended ROAS / MER scorecard", "type": "n8n-nodes-base.code", "position": [ 34896, 5056 ], "parameters": { "jsCode": "// Print the blended ROAS / MER scorecard.\nconst m = $node['Reconcile blended ROAS, MER & platform over-claim gap'].json;\nconst raw = ($json.content && $json.content[0] && $json.content[0].text) || '{}';\nconst s = raw.indexOf('{'), e = raw.lastIndexOf('}');\nlet ai = { verdict: '', overclaim_note: '', action: '' };\ntry { ai = JSON.parse(raw.slice(s, e + 1)); } catch (err) {}\n\nconst out = [];\nout.push('');\nout.push('==========================================================');\nout.push(' BLENDED ROAS & MER RECONCILER | nocode.expert');\nout.push('==========================================================');\nout.push('Total ad spend: $' + m.total_spend.toLocaleString());\nout.push('Actual store revenue: $' + m.store_revenue.toLocaleString());\nout.push('Blended ROAS / MER: ' + m.blended_roas + 'x');\nout.push('Blended CAC: ' + (m.blended_cac !== null ? '$' + m.blended_cac : 'n/a') + ' (' + (m.new_customers || 'n/a') + ' new customers)');\nout.push('');\nout.push('Platforms CLAIM: $' + m.total_reported.toLocaleString() + ' -> over-claim $' + m.over_claim.toLocaleString() + ' (' + m.over_claim_pct + '% of real revenue)');\nout.push('');\nout.push('Per platform (spend | reported rev | reported ROAS):');\nfor (const p of m.byPlatform) out.push(' ' + p.platform.padEnd(12) + '$' + String(p.spend).padStart(9) + ' | $' + String(p.reported_revenue).padStart(9) + ' | ' + p.reported_roas + 'x');\nout.push('');\nout.push('Verdict: ' + (ai.verdict || ''));\nout.push('Over-claim: ' + (ai.overclaim_note || ''));\nout.push('Action: ' + (ai.action || ''));\nout.push('==========================================================');\nreturn [{ json: { report: out.join('\\n'), ...m } }];" }, "typeVersion": 2 } ], "active": false, "settings": { "binaryMode": "separate", "executionOrder": "v1" }, "versionId": "b25bb6e0-dfa2-418d-a951-05b6fc052ef1", "connections": { "Run manually": { "main": [ [ { "node": "Set config: store revenue, new customers, extra platforms", "type": "main", "index": 0 } ] ] }, "Assemble platform table": { "main": [ [ { "node": "Reconcile blended ROAS, MER & platform over-claim gap", "type": "main", "index": 0 } ] ] }, "Get Google access token": { "main": [ [ { "node": "Fetch Google Ads spend & revenue", "type": "main", "index": 0 } ] ] }, "Fetch TikTok spend & revenue": { "main": [ [ { "node": "Get Google access token", "type": "main", "index": 0 } ] ] }, "Build AI efficiency brief prompt": { "main": [ [ { "node": "Write marketing-efficiency brief with Claude AI", "type": "main", "index": 0 } ] ] }, "Fetch Google Ads spend & revenue": { "main": [ [ { "node": "Assemble platform table", "type": "main", "index": 0 } ] ] }, "Fetch Meta spend & revenue (Meta)": { "main": [ [ { "node": "Fetch TikTok spend & revenue", "type": "main", "index": 0 } ] ] }, "Write marketing-efficiency brief with Claude AI": { "main": [ [ { "node": "Show blended ROAS / MER scorecard", "type": "main", "index": 0 } ] ] }, "Reconcile blended ROAS, MER & platform over-claim gap": { "main": [ [ { "node": "Build AI efficiency brief prompt", "type": "main", "index": 0 } ] ] }, "Set config: store revenue, new customers, extra platforms": { "main": [ [ { "node": "Fetch Meta spend & revenue (Meta)", "type": "main", "index": 0 } ] ] } } }