Ten workflow pobiera dane z marketingu online (Google Analytics dla wielu domen, Google Ads, Meta Ads) z ostatnich 7 dni oraz z tego samego okresu w poprzednim roku. Dane są następnie przygotowywane przez AI w formie tabeli, analizowane i opatrzone krótkim podsumowaniem.
Podsumowanie jest wysyłane e-mailem na wybrany adres, a w skróconej i podsumowanej ponownie formie może być również wysłane na konto Telegram.
Sekwencja workflow
Wyzwalacz czasowy (np. w każdy poniedziałek o 7:00)
Pobranie danych z marketingu online z ostatnich 7 dni (poprzez pod-workflow)
Przypisanie i podsumowanie danych
Pobranie danych z tego samego okresu w poprzednim roku
Przypisanie i podsumowanie danych
Przygotowanie w formie tabelarycznej i krótka analiza przez AI
Wysłanie raportu e-mailem
Przygotowanie skróconej wersji przez AI dla Telegram (opcjonalnie)
Wysłanie jako wiadomość Telegram
Wymagania
Do działania workflow wymagane są następujące dostępności:
Google Analytics (poprzez Google Analytics API)
Google Ads (poprzez HTTP Request -> Google Ads API)
Meta Ads (poprzez Facebook Graph API)
Dostęp do API AI (np. OpenAI, Anthropic, Google lub Ollama)
Dane dostępowe SMTP (do wysyłania maila)
Dane dostępowe Telegram (opcjonalnie do wysyłania wiadomości Telegram)
Konfiguracja
Poszczególne pod-workflow należy skonfigurować jako osobne workflow. Następnie należy ustawić "Execute workflow trigger" i wybrać odpowiedni pod-workflow w narzędziach AI Agent Tools.
Można samodzielnie wybrać liczbę domen. Jeśli niektóre zapytania o dane nie są wymagane, można po prostu usunąć odpowiednie narzędzie (np. "Analytics_Domain_5").
Przykłady zastosowań
Ta automatyzacja może być wykorzystana w różnych scenariuszach związanych z monitoringiem i raportowaniem działań marketingowych. Oto kilka potencjalnych zastosowań:
Cotygodniowe raportowanie wyników kampanii marketingowych dla zespołu
Automatyczne alerty o znaczących zmianach w wynikach w porównaniu do poprzedniego roku
Dostarczanie skróconych podsumowań dla kadry zarządzającej
Integracja danych z wielu platform marketingowych w jeden spójny raport
Monitorowanie efektywności różnych kanałów marketingowych
Śledzenie ROI kampanii reklamowych w czasie
Automatyzacja procesów decyzyjnych opartych na danych historycznych
NEWSLETTER
Bądź na bieżąco z AI
Co tydzień na Twoim mailu: podsumowania wydarzeń, top aplikacje, triki, konkursy i darmówki.
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year)","type":"n8n-nodes-base.set","position":[-340,1540],"parameters":{"options":{},"assignments":{"assignments":[{"id":"9c2f8b9a-e964-49a0-8837-efb0dfd7bcae","name":"Impressions","type":"number","value":"={{ $json.data[0].impressions }}"},{"id":"8b524518-1268-4971-b5c9-ae7da09d94f9","name":"CPM","type":"number","value":"={{ $json.data[0].cpm }}"},{"id":"ca7279b9-c643-425f-aa99-cb17146e9994","name":"Clicks","type":"number","value":"={{ $json.data[0].inline_link_clicks }}"},{"id":"591288f7-e8cf-445e-872a-5b83f997b825","name":"CTR","type":"number","value":"={{ $json.data[0].inline_link_click_ctr }}"},{"id":"dc1a43da-3f3a-4dca-bbde-904222d7f693","name":"Conversions","type":"number","value":"={{ $json.data[0].conversions[0].value }}"},{"id":"eac0b53e-c452-40b8-92bc-8af8ea349984","name":"=Cost per conversion","type":"number","value":"={{ $json.data[0].cost_per_conversion[0].value }}"},{"id":"b866032c-07ac-440b-a81a-d9787926b9d6","name":"ROAS","type":"number","value":"={{ $json.data[0].purchase_roas[0].value }}"},{"id":"b96439be-189d-4ebe-b49e-d5c31fefe9f0","name":"Spend","type":"number","value":"={{ $json.data[0].spend }}"}]}},"typeVersion":3.4},{"id":"faf34f2a-f6d3-4510-aeee-6b25174abc08","name":"Summarize Meta data input (previous year)","type":"n8n-nodes-base.summarize","position":[-40,1540],"parameters":{"options":{},"fieldsToSummarize":{"values":[{"field":"Impressions","aggregation":"sum"},{"field":"CPM","aggregation":"average"},{"field":"Clicks","aggregation":"sum"},{"field":"CTR","aggregation":"average"},{"field":"Conversions","aggregation":"sum"},{"field":"Cost per conversion","aggregation":"average"},{"field":"Spend","aggregation":"sum"},{"field":"ROAS","aggregation":"average"}]}},"typeVersion":1},{"id":"3985f30a-94ab-45be-a511-b9ae0d4f3bb0","name":"Format all Meta data for LLM","type":"n8n-nodes-base.code","position":[160,1540],"parameters":{"jsCode":"const currentData = $('Summarize Meta input (current year)').first().json;nconst previousData = $('Summarize Meta data input (previous year)').first().json;nnfunction parseNumber(value) {n if (typeof value === 'string') {n return parseFloat(value.replace(/\./g, '').replace(',', '.'));n }n return value || 0;n}nnfunction formatNumber(number, decimals = 0) {n if (number === 0) return "0";n return parseNumber(number).toLocaleString('de-DE', {n minimumFractionDigits: decimals,n maximumFractionDigits: decimalsn });n}nnfunction calculateCPM(cpm) {n return parseNumber(cpm);n}nnreturn [{n current_impressions: formatNumber(currentData.sum_Impressions),n current_cpm: formatNumber(calculateCPM(currentData.average_CPM), 2),n current_clicks: formatNumber(currentData.sum_Clicks),n current_ctr: formatNumber(parseNumber(currentData.average_CTR), 2),n current_conversions: formatNumber(currentData.sum_Conversions, 2),n current_cost_per_conversion: formatNumber(currentData.average_Cost_per_conversion, 2),n current_cost: formatNumber(currentData.sum_Spend, 2),n current_roas: formatNumber(parseNumber(currentData.average_ROAS), 2),n n previous_impressions: formatNumber(previousData.sum_Impressions),n previous_cpm: formatNumber(calculateCPM(previousData.average_CPM), 2),n previous_clicks: formatNumber(previousData.sum_Clicks),n previous_ctr: formatNumber(parseNumber(previousData.average_CTR), 2),n previous_conversions: formatNumber(previousData.sum_Conversions, 2),n previous_cost_per_conversion: formatNumber(previousData.average_Cost_per_conversion || 0, 2),n previous_cost: formatNumber(previousData.sum_Spend, 2),n previous_roas: formatNumber(parseNumber(previousData.average_ROAS), 2)n}];"},"typeVersion":2},{"id":"146d6907-66af-41ff-ab32-b2a3ec5787b6","name":"Processing for Google Ads report","type":"@n8n/n8n-nodes-langchain.openAi","position":[400,980],"parameters":{"modelId":{"__rl":true,"mode":"list","value":"gpt-4o","cachedResultName":"GPT-4O"},"options":{},"messages":{"values":[{"content":"=Please analyze the following data and output the results in table form:nn| Metric | Last 7 Days | Previous Year | Percentage Change |n|--------|-------------|---------------|-------------------|n| Total Impressions | {{$json.current_impressions}} | {{$json.previous_impressions}} | Percentage Change |n| CPM | {{$json.current_cpm}} | {{$json.previous_cpm}} | Percentage Change |n| Total Clicks | {{$json.current_clicks}} | {{$json.previous_clicks}} | Percentage Change |n| CTR | {{$json.current_ctr}} | {{$json.previous_ctr}} | Percentage Change |n| Conversions | {{$json.current_conversions}} | {{$json.previous_conversions}} | Percentage Change |n| Cost per Conversion | {{$json.current_cost_per_conversion}} | {{$json.previous_cost_per_conversion}} | Percentage Change |n| ROAS | {{ $json.current_roas }} | {{ $json.previous_roas }} | Percentage Change |n| Costs | {{$json.current_cost}} | {{$json.previous_cost}} | Percentage Change |nnNumber format:n- Period (.) for thousands (e.g. 4.000)n- Comma (,) for decimal numbers (e.g. 3,4)n- Display CPM, Cost per Conversion, ROAS and Costs in €n- CTR in percentnnPlease write a brief summary of the analyzed data above the table (in max 3 sentences!)nnIMPORTANT:nWrite nothing except the summary and the table below it!nNO INTRODUCTION, NO CONCLUSION!"}]}},"credentials":{"openAiApi":{"id":"niikB3HA4fT5WAqt","name":"OpenAi account"}},"typeVersion":1.7},{"id":"2fd2a795-caa4-4194-8049-4955c1d54dd9","name":"Format all Google data for LLM","type":"n8n-nodes-base.code","position":[260,980],"parameters":{"jsCode":"const currentData = $('Summarize input (current year)').first().json;nconst previousData = $('Summarize input (previous year)').first().json;nnfunction formatNumber(number, decimals = 0) {n if (number === 0) return "0";n return number.toLocaleString('de-DE', {n minimumFractionDigits: decimals,n maximumFractionDigits: decimalsn });n}nnfunction calculateCPM(costMicros, impressions) {n if (impressions === 0) return 0;n return (costMicros / 1000000 / impressions) * 1000;n}nnreturn [{n current_impressions: formatNumber(currentData.sum_Impressions),n current_cpm: formatNumber(calculateCPM(currentData.sum_Spend, currentData.sum_Impressions), 2),n current_clicks: formatNumber(currentData.sum_Clicks),n current_ctr: formatNumber(currentData.average_CTR * 100, 2),n current_conversions: formatNumber(currentData.sum_Conversions, 2),n current_cost_per_conversion: formatNumber(currentData.average_Cost_per_Conversion / 1000000, 2),n current_cost: formatNumber(currentData.sum_Spend / 1000000, 2),n current_roas: formatNumber(currentData.average_ROAS, 2),n n previous_impressions: formatNumber(previousData.sum_Impressions),n previous_cpm: formatNumber(calculateCPM(previousData.sum_Spend, previousData.sum_Impressions), 2),n previous_clicks: formatNumber(previousData.sum_Clicks),n previous_ctr: formatNumber(previousData.average_CTR * 100, 2),n previous_conversions: formatNumber(previousData.sum_Conversions, 2),n previous_cost_per_conversion: formatNumber(previousData.average_Cost_per_conversion / 1000000, 2),n previous_cost: formatNumber(previousData.sum_Spend / 1000000, 2),n previous_roas: formatNumber(previousData.average_ROAS, 2)n}];"},"typeVersion":2},{"id":"e7e357e7-3f16-4b6e-ae50-c6741bbe8357","name":"Assign Google Analytics data input (current year)","type":"n8n-nodes-base.set","position":[-1080,460],"parameters":{"options":{},"assignments":{"assignments":[{"id":"9c2f8b9a-e964-49a0-8837-efb0dfd7bcae","name":"Page views","type":"number","value":"={{ $json.screenPageViews }}"},{"id":"8b524518-1268-4971-b5c9-ae7da09d94f9","name":"Users","type":"number","value":"={{ $json.totalUsers }}"},{"id":"ca7279b9-c643-425f-aa99-cb17146e9994","name":"Sessions","type":"number","value":"={{ $json.sessions }}"},{"id":"591288f7-e8cf-445e-872a-5b83f997b825","name":"Sessions per user","type":"number","value":"={{ $json.sessionsPerUser }}"},{"id":"dc1a43da-3f3a-4dca-bbde-904222d7f693","name":"Session duration","type":"number","value":"={{ $json.averageSessionDuration }}"},{"id":"eac0b53e-c452-40b8-92bc-8af8ea349984","name":"=Conversions","type":"number","value":"={{ $json.ecommercePurchases }}"},{"id":"b96439be-189d-4ebe-b49e-d5c31fefe9f0","name":"Value per Conversion","type":"number","value":"={{ $json.averagePurchaseRevenue }}"},{"id":"94835d43-2fc8-49c0-97f0-6f0f8699337a","name":"Revenue","type":"number","value":"={{ $json.purchaseRevenue }}"},{"id":"d70f8138-3b84-4b88-a98f-eb929e1cc29a","name":"date","type":"string","value":"={{ $json.date }}"}]}},"typeVersion":3.4},{"id":"9f16d330-9288-42bc-9a21-beb002c0ce4f","name":"Summarize Google Analytics input (current year)","type":"n8n-nodes-base.summarize","position":[-860,460],"parameters":{"options":{},"fieldsToSummarize":{"values":[{"field":"Page views","aggregation":"sum"},{"field":"Users","aggregation":"sum"},{"field":"Sessions","aggregation":"sum"},{"field":"Sessions per user","aggregation":"average"},{"field":"Session duration","aggregation":"average"},{"field":"Conversions","aggregation":"sum"},{"field":"Value per Conversion","aggregation":"average"},{"field":"Revenue","aggregation":"sum"},{"field":"date"}]}},"typeVersion":1},{"id":"9355325f-35c2-4663-922e-d7ccec873fea","name":"Calculate date format for meta ads request s","type":"n8n-nodes-base.code","position":[-1600,1540],"parameters":{"jsCode":"// Aktuelles Datumnconst now = new Date();nn// Gestern als Ende-Datumnconst yesterday = new Date(now);nyesterday.setDate(now.getDate() - 1);nn// Start-Datum (7 Tage vor gestern)nconst weekStart = new Date(yesterday);nweekStart.setDate(yesterday.getDate() - 6);nn// Vorjahreszeitraumnconst lastYearStart = new Date(weekStart);nlastYearStart.setFullYear(weekStart.getFullYear() - 1);nnconst lastYearEnd = new Date(yesterday);nlastYearEnd.setFullYear(yesterday.getFullYear() - 1);nn// Formatierung YYYY-MM-DDnfunction formatDate(date) {n return date.toISOString().split('T')[0];n}nn// Ausgabenitems[0] = {n json: {n currentPeriod: {n since: formatDate(weekStart),n until: formatDate(yesterday)n },n lastYear: {n since: formatDate(lastYearStart),n until: formatDate(lastYearEnd)n }n }n};nnreturn items;"},"typeVersion":2},{"id":"7677727b-606b-4377-9057-032e91d1faae","name":"Calculation same period previous year1","type":"n8n-nodes-base.code","position":[-620,460],"parameters":{"jsCode":"return {n // Berechnung des Startdatums: Vorjahr, gleiche Woche, 7 Tage zurückn startDate: (() => {n const date = new Date();n date.setFullYear(date.getFullYear() - 1); // Zurück ins Vorjahrn date.setDate(date.getDate() - 7); // 7 Tage zurückn return date.toISOString().split('T')[0];n })(),n n // Berechnung des Enddatums: Vorjahr, heutiges Datumn endDate: (() => {n const date = new Date();n date.setFullYear(date.getFullYear() - 1); // Zurück ins Vorjahrn return date.toISOString().split('T')[0];n })(),n};n"},"typeVersion":2},{"id":"d49d00f4-7336-40b7-8833-d2e8c9eacb5b","name":"Assign Google Analytics data input (previous year)","type":"n8n-nodes-base.set","position":[-180,460],"parameters":{"options":{},"assignments":{"assignments":[{"id":"9c2f8b9a-e964-49a0-8837-efb0dfd7bcae","name":"Page views","type":"number","value":"={{ $json.screenPageViews }}"},{"id":"8b524518-1268-4971-b5c9-ae7da09d94f9","name":"Users","type":"number","value":"={{ $json.totalUsers }}"},{"id":"ca7279b9-c643-425f-aa99-cb17146e9994","name":"Sessions","type":"number","value":"={{ $json.sessions }}"},{"id":"591288f7-e8cf-445e-872a-5b83f997b825","name":"Sessions per user","type":"number","value":"={{ $json.sessionsPerUser }}"},{"id":"dc1a43da-3f3a-4dca-bbde-904222d7f693","name":"Session duration","type":"number","value":"={{ $json.averageSessionDuration }}"},{"id":"eac0b53e-c452-40b8-92bc-8af8ea349984","name":"=Conversions","type":"number","value":"={{ $json.ecommercePurchases }}"},{"id":"b96439be-189d-4ebe-b49e-d5c31fefe9f0","name":"Value per conversion","type":"number","value":"={{ $json.averagePurchaseRevenue }}"},{"id":"94835d43-2fc8-49c0-97f0-6f0f8699337a","name":"Revenue","type":"number","value":"={{ $json.purchaseRevenue }}"},{"id":"dd8255c6-65b1-41ce-b596-70c09108d6e2","name":"=date","type":"string","value":"={{ $json.date }}"}]}},"typeVersion":3.4},{"id":"a6f72675-f055-4270-8fff-05d61da6f3f9","name":"Summarize Google Analytics input (previous year)","type":"n8n-nodes-base.summarize","position":[40,460],"parameters":{"options":{},"fieldsToSummarize":{"values":[{"field":"Page views","aggregation":"sum"},{"field":"Users","aggregation":"sum"},{"field":"Sessions","aggregation":"sum"},{"field":"Sessions per user","aggregation":"average"},{"field":"Session duration","aggregation":"average"},{"field":"Conversions","aggregation":"sum"},{"field":"Value per conversion","aggregation":"average"},{"field":"Revenue","aggregation":"sum"},{"field":"date"}]}},"typeVersion":1},{"id":"61311c11-59d2-4b77-afc5-52b1d66afbd7","name":"Send mail report","type":"n8n-nodes-base.emailSend","position":[560,-220],"parameters":{"html":"={{ $json.output }}","options":{},"subject":"Weekly Report: Online Marketing Report","toEmail":"friedemann.schuetz@ep-reisen.de","fromEmail":"friedemann.schuetz@posteo.de"},"credentials":{"smtp":{"id":"A71x7hx6lKj7nxp1","name":"SMTP account"}},"typeVersion":2.1},{"id":"928d15f2-141c-4e88-abcc-60799793bde7","name":"Processing for Meta Ads Report","type":"@n8n/n8n-nodes-langchain.openAi","position":[400,1540],"parameters":{"modelId":{"__rl":true,"mode":"list","value":"gpt-4o","cachedResultName":"GPT-4O"},"options":{},"messages":{"values":[{"content":"=Please analyze the following data and output the results in table form:nn| Metric | Last 7 Days | Previous Year | Percentage Change |n|--------|-------------|---------------|-------------------|n| Total Impressions | {{$json.current_impressions}} | {{$json.previous_impressions}} | Percentage Change |n| CPM | {{$json.current_cpm}} | {{$json.previous_cpm}} | Percentage Change |n| Total Clicks | {{$json.current_clicks}} | {{$json.previous_clicks}} | Percentage Change |n| CTR | {{$json.current_ctr}} | {{$json.previous_ctr}} | Percentage Change |n| Conversions | {{$json.current_conversions}} | {{$json.previous_conversions}} | Percentage Change |n| Cost per Conversion | {{$json.current_cost_per_conversion}} | {{$json.previous_cost_per_conversion}} | Percentage Change |n| ROAS | {{ $json.current_roas }} | {{ $json.previous_roas }} | Percentage Change |n| Costs | {{$json.current_cost}} | {{$json.previous_cost}} | Percentage Change |nnNumber format:n- Period (.) for thousands (e.g. 4.000)n- Comma (,) for decimal numbers (e.g. 3,4)n- Display CPM, Cost per Conversion, ROAS and Costs in €n- CTR in percentnnPlease write a brief summary of the analyzed data above the table (in max 3 sentences!)nnIMPORTANT:nWrite nothing except the summary and the table below it!nNO INTRODUCTION, NO CONCLUSION!"}]}},"credentials":{"openAiApi":{"id":"niikB3HA4fT5WAqt","name":"OpenAi account"}},"typeVersion":1.7},{"id":"ce9175bd-b355-47eb-8dd8-dd26292e0061","name":"Processing for Google Analytics Report","type":"@n8n/n8n-nodes-langchain.openAi","position":[400,460],"parameters":{"modelId":{"__rl":true,"mode":"list","value":"gpt-4o","cachedResultName":"GPT-4O"},"options":{},"messages":{"values":[{"content":"=Please analyze the following data and output the results in table form:n| Metric | Last 7 Days | Previous Year | Percentage Change |n|-------------------------------|-------------|---------------|-------------------|n| Total Page Views | {{ $('Summarize Google Analytics input (current year)').item.json.sum_Page_views }} | {{ $json.sum_Page_views }} | Percentage Change |n| Total Users | {{ $('Summarize Google Analytics input (current year)').item.json.sum_Users }} | {{ $json.sum_Users }} | Percentage Change |n| Total Sessions | {{ $('Summarize Google Analytics input (current year)').item.json.sum_Sessions }} | {{ $json.sum_Sessions }} | Percentage Change |n| Average Sessions per User | {{ $('Summarize Google Analytics input (current year)').item.json.average_Sessions_per_user }} | {{ $json.average_Sessions_per_user }} | Percentage Change |n| Average Session Duration | {{ $('Summarize Google Analytics input (current year)').item.json.average_Session_duration }} | {{ $json.average_Session_duration }} | Percentage Change |n| Total Purchases | {{ $('Summarize Google Analytics input (current year)').item.json.sum_Conversions }} | {{ $json.sum_Conversions }} | Percentage Change |n| Average Revenue per Purchase | {{ $('Summarize Google Analytics input (current year)').item.json.average_Value_per_Conversion }} | {{ $json.average_Value_per_conversion }} | Percentage Change |n| Total Revenue | {{ $('Summarize Google Analytics input (current year)').item.json.sum_Revenue }} | {{ $('Summarize Google Analytics input (previous year)').item.json.sum_Revenue }} | Percentage Change |nnNumber format:n- Period (.) for thousands (e.g. 4.000)n- Comma (,) for decimal numbers (e.g. 3,4)n- Convert Average Session Duration to minutes instead of secondsn- Average Revenue per Purchase and Total Revenue in €nnPlease write a brief summary of the analyzed data above the table (in max 3 sentences!)nnIMPORTANT:nWrite nothing except the summary and the table below it!nNO INTRODUCTION, NO CONCLUSION!"}]}},"credentials":{"openAiApi":{"id":"niikB3HA4fT5WAqt","name":"OpenAi account"}},"typeVersion":1.7},{"id":"c960aed4-83c9-4f7f-b341-0eb29d4c3733","name":"Processing for Telegram Report","type":"@n8n/n8n-nodes-langchain.openAi","position":[0,0],"parameters":{"modelId":{"__rl":true,"mode":"list","value":"gpt-4o-mini","cachedResultName":"GPT-4O-MINI"},"options":{},"messages":{"values":[{"content":"=Convert the following text from HTML to plain text:nn{{ $json.output }}nnPlease format the table so that each evaluation (Domain 1, Domain 2, Domain 3, Domain 4, Domain 5, Google Ads, Meta Ads) is its own paragraph! Also, please display only the summary (without the table), but incorporate the numbers into the running text!nnExample:nnDomain 1:nxx,xxx page views (+x.xx%)nxx,xxx users (-x.xx%)nnDomain 2:nxx,xxx page views (+x.xx%)nxx,xxx users (-x.xx%)nnNormal"}]}},"credentials":{"openAiApi":{"id":"niikB3HA4fT5WAqt","name":"OpenAi account"}},"typeVersion":1.7},{"id":"542bad2f-fad2-4e6d-b7af-499c7cd2b35c","name":"Weekly Report Agent","type":"@n8n/n8n-nodes-langchain.agent","position":[-900,-220],"parameters":{"text":"=# Expert in Data Processing and Email Generation in N8NnYOU ARE AN EXPERT IN DATA PROCESSING AND EMAIL GENERATION IN N8N. YOUR TASK IS TO CREATE AN ENGLISH-LANGUAGE HTML EMAIL THAT COMPREHENSIVELY SUMMARIZES GOOGLE ANALYTICS AND GOOGLE ADS DATA FROM VARIOUS WORKFLOWS. YOU MUST FORMAT THE CAPTURED DATA ACCORDING TO THE SPECIFIED SPECIFICATIONS AND DESIGN THE EMAIL FOR OPTIMAL READABILITY.nn## Instructionsnn### 1. Collect Summaryn- First, retrieve the summary and table for `Analytics_Domain_1` from the `Analytics_Domain_1` workflow.n- Second, retrieve the summary and table for `Analytics_Domain_2` from the `Analytics_Domain_2` workflow.n- Third, retrieve the summary and table for `Analytics_Domain_3` from the `Analytics_Domain_3` workflow.n- Fourth, retrieve the summary and table for `Analytics_Domain_4` from the `Analytics_Domain_4` workflow.n- Fifth, retrieve the summary and table for `Analytics_Domain_5` from the `Analytics_Domain_5` workflow.n- Sixth, retrieve the summary and table for `Google_Ads` from the `Google_Ads` workflow.n- Seventh, retrieve the summary and table for `Meta_Ads` from the `Meta_Ads` workflow.nn### 2. Email Structuren- Begin the email with the following introduction: n "Hi Freddy, n Here is your weekly Online Marketing Report for the last 7 days from Domain 1, Domain 2, Domain 3, Domain 4, Domain 5, as well as Google Ads and Meta Ads!"nn- Create a separate section for each dataset: n - **Domain 1**: Contains the summary and table from `Analytics_Domain_1`n - **Domain 2**: Contains the summary and table from `Analytics_Domain_2`n - **Domain 3**: Contains the summary and table from `Analytics_Domain_3`n - **Domain 4**: Contains the summary and table from `Analytics_Domain_4`n - **Domain 5**: Contains the summary and table from `Analytics_Domain_5`n - **Google Ads**: Contains the summary and table from `Google Ads`n - **Meta Ads**: Contains the summary and table from `Meta Ads`nn- Present the sections clearly and readably as HTML.nn### 3. Design and Formattingn- Use simple HTML structures with clear section titles (e.g., `
` for titles).n- Present the summary as a paragraph (e.g., `
`).n- The table should be cleanly formatted (e.g., with `
`, `
`, `
`).n- Keep the presentation clear and easy to read.nn### 4. No Conclusion, No Signaturenn### HTML Output Structurenn```htmlnnnnnnn
Hi,
n
Here is your weekly Online Marketing Report for the last 7 days from Domain 1, Domain 2, Domain 3, Domain 4, Domain 5, as well as Google Ads and Meta Ads!
n n
Domain 1
n
[Summary from Analytics_Domain_1 will be inserted here]
n
n [Table content from Analytics_Domain_1 will be inserted here]n
n n
Domain 2
n
[Summary from Analytics_Domain_2 will be inserted here]
n
n [Table content from Analytics_Domain_2 will be inserted here]n
nnn```nn### 5. Outputn- Format the entire HTML content as a string for email transmission.nn### What Not to Don- No unwanted closings or signaturesn- No unstructured, hard-to-read data formattingn- No missing sections or titlesn- No copying of data without HTML formatting","options":{},"promptType":"define"},"typeVersion":1.7},{"id":"2a405e35-5d34-4f3c-a5e8-81e958cc550a","name":"Send Telegram report","type":"n8n-nodes-base.telegram","position":[560,0],"parameters":{"text":"={{ $json.message.content }}","chatId":"1810565648","additionalFields":{}},"credentials":{"telegramApi":{"id":"0hnyvxyUMN77sBmU","name":"Telegram account"}},"typeVersion":1.2},{"id":"eb8e59fe-2dbd-49e6-a055-a01f7419d8f3","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[-2120,-280],"parameters":{"width":440,"height":2180,"content":"Welcome to Online Marketing Weekly Report Workflow!nnThis workflow has the following sequence:nn1. time trigger (e.g. every Monday at 7 a.m.)n2. retrieval of Online Marketing data from the last 7 days (via sub workflows)n3. assignment and summary of the datan4. retrieval of Online Marketing data from the same time period of the previous yearn5. allocation and summary of the datan6. preparation in tabular form and brief analysis by AI.n7. sending the report as an emailn8. preparation in short form by AI for Telegram (optional)n9. sending as Telegram message.nnThe following accesses are required for the workflow:n- Google Analytics (via Google Analytics API): [Documentation](https://docs.n8n.io/integrations/builtin/credentials/google/)n- Google Ads (via HTTP Request -> Google Ads API):[Documentation](https://docs.n8n.io/integrations/builtin/credentials/google/)n- Meta Ads (via Facebook Graph API): [Documentation](https://docs.n8n.io/integrations/builtin/credentials/facebookgraph/)n- AI API access (e.g. via OpenAI, Anthropic, Google or Ollama)n- SMTP access data (for sending the mail)n- Telegram access data (optional for sending as Telegram message): [Documentation](https://docs.n8n.io/integrations/builtin/credentials/telegram/)nnYou can contact me via LinkedIn, if you have any questions: https://www.linkedin.com/in/friedemann-schuetz"},"typeVersion":1}],"active":false,"pinData":{},"settings":{"timezone":"Europe/Berlin","callerPolicy":"workflowsFromSameOwner","executionOrder":"v1"},"versionId":"0595b0a6-3130-4041-b3b1-41e820edd985","connections":{"Meta_Ads":{"ai_tool":[[{"node":"Weekly Report Agent","type":"ai_tool","index":0}]]},"Calculator":{"ai_tool":[[{"node":"Processing for Google Analytics Report","type":"ai_tool","index":0}]]},"Google_Ads":{"ai_tool":[[{"node":"Weekly Report Agent","type":"ai_tool","index":0}]]},"Calculator1":{"ai_tool":[[{"node":"Processing for Google Ads report","type":"ai_tool","index":0}]]},"Calculator3":{"ai_tool":[[{"node":"Processing for Meta Ads Report","type":"ai_tool","index":0}]]},"Schedule Trigger":{"main":[[{"node":"Weekly Report Agent","type":"main","index":0}]]},"OpenAI Chat Model":{"ai_languageModel":[[{"node":"Weekly Report Agent","type":"ai_languageModel","index":0}]]},"Analytics_Domain_1":{"ai_tool":[[{"node":"Weekly Report Agent","type":"ai_tool","index":0}]]},"Analytics_Domain_2":{"ai_tool":[[{"node":"Weekly Report Agent","type":"ai_tool","index":0}]]},"Analytics_Domain_3":{"ai_tool":[[{"node":"Weekly Report Agent","type":"ai_tool","index":0}]]},"Analytics_Domain_4":{"ai_tool":[[{"node":"Weekly Report Agent","type":"ai_tool","index":0}]]},"Analytics_Domain_5":{"ai_tool":[[{"node":"Weekly Report Agent","type":"ai_tool","index":0}]]},"Weekly Report Agent":{"main":[[{"node":"Processing for Telegram Report","type":"main","index":0},{"node":"Send mail report","type":"main","index":0}]]},"Send Telegram report":{"main":[[]]},"Execute Workflow Trigger":{"main":[[{"node":"Call Google Analytics data: Last 7 days","type":"main","index":0}]]},"Assign input (previous year)":{"main":[[{"node":"Summarize input (previous year)","type":"main","index":0}]]},"Format 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year)":{"main":[[{"node":"Summarize Meta input (current year)","type":"main","index":0}]]},"Calculate date format for meta ads request s":{"main":[[{"node":"Call Meta Ads Data: Last 7 days","type":"main","index":0}]]},"Call Meta Ads Data: Last 7 days (previous year)":{"main":[[{"node":"Assign Meta data input (previous year)","type":"main","index":0}]]},"Summarize Google Analytics input (current year)":{"main":[[{"node":"Calculation same period previous year1","type":"main","index":0}]]},"Summarize Google Analytics input (previous year)":{"main":[[{"node":"Processing for Google Analytics Report","type":"main","index":0}]]},"Assign Google Analytics data input (current year)":{"main":[[{"node":"Summarize Google Analytics input (current year)","type":"main","index":0}]]},"Call Google Ads Data: Last 7 days (previous year)":{"main":[[{"node":"Format data input (previous year)","type":"main","index":0}]]},"Assign Google Analytics data input (previous year)":{"main":[[{"node":"Summarize Google 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