{
"name": "Keyword Finder",
"flow": [
{
"id": 1,
"module": "tally:watchNewResponse",
"version": 1,
"parameters": {
"__IMTHOOK__": 831908
},
"mapper": {},
"metadata": {
"designer": {
"x": 0,
"y": 0
},
"restore": {
"parameters": {
"__IMTHOOK__": {
"data": {
"editable": "false"
},
"label": "My New Response webhook"
}
}
},
"parameters": [
{
"name": "__IMTHOOK__",
"type": "hook:tally",
"label": "Webhook",
"required": true
}
],
"interface": [
{
"name": "eventId",
"type": "text",
"label": "Event ID"
},
{
"name": "responseId",
"type": "text",
"label": "Response ID"
},
{
"name": "submissionId",
"type": "text",
"label": "Submission ID"
},
{
"name": "respondentId",
"type": "text",
"label": "Respondent ID"
},
{
"name": "formId",
"type": "text",
"label": "Form ID"
},
{
"name": "formName",
"type": "text",
"label": "Form Name"
},
{
"name": "createdAt",
"type": "date",
"label": "Created at"
},
{
"name": "fields",
"spec": [
{
"name": "Was ist das Produkt/Thema?",
"type": "text"
},
{
"name": "In welcher Sprache sollen die Keywords ausgegeben werden?",
"type": "text"
},
{
"name": "An welche Email sollen die Keywords gesendet werden?",
"type": "email"
}
],
"type": "collection",
"label": "Fields"
},
{
"name": "fieldsById",
"spec": [
{
"name": "question_AzBJYB",
"type": "text",
"label": "Was ist das Produkt/Thema?"
},
{
"name": "question_Bax1Y7",
"type": "text",
"label": "In welcher Sprache sollen die Keywords ausgegeben werden?"
},
{
"name": "question_klNA46",
"type": "email",
"label": "An welche Email sollen die Keywords gesendet werden?"
}
],
"type": "collection",
"label": "Fields by ID"
}
]
}
},
{
"id": 3,
"module": "openai-gpt-3:CreateCompletion",
"version": 1,
"parameters": {
"__IMTCONN__": 2101033
},
"mapper": {
"select": "chat",
"max_tokens": "0",
"temperature": "1",
"top_p": "1",
"n_completions": "1",
"response_format": "text",
"model": "gpt-4o-mini",
"messages": [
{
"role": "system",
"content": "You are a google ads research specialist and especially have a deep knowledge about the right keywords for ad campaigns.\n\nYou have to be aware that the keywords are for an ecommerce Brand, meaning they should have search volumne for buying purposes."
},
{
"role": "user",
"content": "You are an expert in the following product: {{1.fieldsById.question_AzBJYB}}\n\nPlease provide a structured and clear explanation of the following points:\n\n**Product Overview**: What is this product about? Describe its core features and purpose.\n\n**User Experience**: What key aspects of the product do you highlight when showcasing it to potential users?\n\n**Problem-Solving**: What problems does this product help users solve, and why is it effective in addressing them?\n\n**User Values**: What specific features or qualities do users value the most in this product?\n\n**Target Audience**: What types of people or businesses typically buy this product?\n\n**Untapped Potential**: Who could benefit significantly from this product but may not yet be aware of its existence?\n\nPlease answer each section in detail, using examples where relevant to illustrate your points.\n\nGenerate the keywords in {{1.fieldsById.question_Bax1Y7}}"
}
]
},
"metadata": {
"designer": {
"x": 300,
"y": 0,
"name": "Product Understanding"
},
"restore": {
"parameters": {
"__IMTCONN__": {
"label": "My OpenAI connection",
"data": {
"scoped": "true",
"connection": "openai-gpt-3"
}
}
},
"expect": {
"select": {
"label": "Create a Chat Completion (GPT Models)"
},
"logit_bias": {
"mode": "chose"
},
"response_format": {
"mode": "chose",
"label": "Text"
},
"stop": {
"mode": "chose"
},
"additionalParameters": {
"mode": "chose"
},
"model": {
"mode": "chose",
"label": "gpt-4o-mini (system)"
},
"messages": {
"mode": "chose",
"items": [
{
"role": {
"mode": "chose",
"label": "System"
}
},
{
"role": {
"mode": "chose",
"label": "User"
}
}
]
}
}
},
"parameters": [
{
"name": "__IMTCONN__",
"type": "account:openai-gpt-3",
"label": "Connection",
"required": true
}
],
"expect": [
{
"name": "select",
"type": "select",
"label": "Select Method",
"required": true,
"validate": {
"enum": [
"chat",
"prompt"
]
}
},
{
"name": "max_tokens",
"type": "number",
"label": "Max Tokens",
"required": true
},
{
"name": "temperature",
"type": "number",
"label": "Temperature",
"validate": {
"max": 2,
"min": 0
}
},
{
"name": "top_p",
"type": "number",
"label": "Top P",
"validate": {
"max": 1,
"min": 0
}
},
{
"name": "n_completions",
"type": "number",
"label": "Number"
},
{
"name": "frequency_penalty",
"type": "number",
"label": "Frequency Penalty",
"validate": {
"max": 2,
"min": -2
}
},
{
"name": "presence_penalty",
"type": "number",
"label": "Presence Penalty",
"validate": {
"max": 2,
"min": -2
}
},
{
"name": "logit_bias",
"type": "array",
"label": "Token Probability",
"spec": {
"spec": [
{
"name": "token",
"type": "text",
"label": "Token ID",
"required": true
},
{
"name": "probability",
"type": "number",
"label": "Probability",
"required": true,
"validate": {
"max": 100,
"min": -100
}
}
],
"type": "collection",
"label": "Token Probability",
"name": "value"
}
},
{
"name": "response_format",
"type": "select",
"label": "Response Format",
"validate": {
"enum": [
"text",
"json_object"
]
}
},
{
"name": "seed",
"type": "integer",
"label": "Seed"
},
{
"name": "stop",
"type": "array",
"label": "Stop Sequences",
"validate": {
"maxItems": 4
},
"spec": {
"type": "text",
"label": "Stop Sequence",
"name": "value"
}
},
{
"name": "additionalParameters",
"type": "array",
"label": "Other Input Parameters",
"spec": {
"spec": [
{
"name": "key",
"type": "text",
"label": "Parameter Name",
"required": true
},
{
"name": "type",
"type": "select",
"label": "Input Type",
"options": [
{
"label": "Text",
"value": "text",
"nested": [
{
"name": "value",
"type": "text",
"label": "Parameter Value"
}
],
"default": true
},
{
"label": "Number",
"value": "number",
"nested": [
{
"name": "value",
"type": "number",
"label": "Parameter Value"
}
]
},
{
"label": "Boolean",
"value": "boolean",
"nested": [
{
"name": "value",
"type": "boolean",
"label": "Parameter Value"
}
]
},
{
"label": "Date",
"value": "date",
"nested": [
{
"name": "value",
"type": "date",
"label": "Parameter Value"
}
]
},
{
"label": "Any",
"value": "any",
"nested": [
{
"name": "value",
"type": "any",
"label": "Parameter Value"
}
]
}
]
}
],
"type": "collection",
"label": "Input Parameter",
"name": "value"
}
},
{
"name": "model",
"type": "select",
"label": "Model",
"required": true
},
{
"name": "messages",
"type": "array",
"label": "Messages",
"required": true,
"spec": {
"spec": [
{
"name": "role",
"type": "select",
"label": "Role",
"options": [
{
"label": "System",
"value": "system"
},
{
"label": "User",
"value": "user"
},
{
"label": "Assistant",
"value": "assistant"
}
],
"required": true
},
{
"name": "content",
"type": "text",
"label": "Message Content"
}
],
"type": "collection",
"label": "Message",
"name": "value"
}
}
]
}
},
{
"id": 4,
"module": "openai-gpt-3:CreateCompletion",
"version": 1,
"parameters": {
"__IMTCONN__": 2101033
},
"mapper": {
"select": "chat",
"max_tokens": "0",
"temperature": "1",
"top_p": "1",
"n_completions": "1",
"response_format": "text",
"model": "gpt-4o-mini",
"messages": [
{
"role": "system",
"content": "You are a google ads research specialist and especially have a deep knowledge about the right keywords for ad campaigns.\n\nYou have to be aware that the keywords are for an ecommerce Brand, meaning they should have search volumne for buying purposes."
},
{
"role": "user",
"content": "# Context\n\nYour goal now is to find keywords about the following topic: {{1.fieldsById.question_AzBJYB}}\n\nHere's more infos about the topic:\n{{3.result}}\n\n# Your Task\n\nNow your task is to research and generate keywords for google ads that potential customers are searching. \n\nSearch for the following kind of keywords:\n- Informational Keywords (Terms that potential customers might use when seeking information, such as \"how to use,\" \"benefits of,\" \"reviews of,\" or \"guide to.\")\n- Navigational Keywords (Keywords related to specific brands or products, like \"Nike shoes\" or \"Apple headphones.\")\n- Long-Tail Keywords (Phrases that are more specific and typically longer, targeting niche markets (e.g., \"best noise-cancelling headphones for remote work\"))\n\n# Output\n- Research 10 of each category\n- Only deliver the keywords. Deliver them in bullet points, one keyword per line."
}
]
},
"metadata": {
"designer": {
"x": 600,
"y": 0,
"name": "V4o Mini | Run 1"
},
"restore": {
"parameters": {
"__IMTCONN__": {
"label": "My OpenAI connection",
"data": {
"scoped": "true",
"connection": "openai-gpt-3"
}
}
},
"expect": {
"select": {
"label": "Create a Chat Completion (GPT Models)"
},
"logit_bias": {
"mode": "chose"
},
"response_format": {
"mode": "chose",
"label": "Text"
},
"stop": {
"mode": "chose"
},
"additionalParameters": {
"mode": "chose"
},
"model": {
"mode": "chose",
"label": "gpt-4o-mini (system)"
},
"messages": {
"mode": "chose",
"items": [
{
"role": {
"mode": "chose",
"label": "System"
}
},
{
"role": {
"mode": "chose",
"label": "User"
}
}
]
}
}
},
"parameters": [
{
"name": "__IMTCONN__",
"type": "account:openai-gpt-3",
"label": "Connection",
"required": true
}
],
"expect": [
{
"name": "select",
"type": "select",
"label": "Select Method",
"required": true,
"validate": {
"enum": [
"chat",
"prompt"
]
}
},
{
"name": "max_tokens",
"type": "number",
"label": "Max Tokens",
"required": true
},
{
"name": "temperature",
"type": "number",
"label": "Temperature",
"validate": {
"max": 2,
"min": 0
}
},
{
"name": "top_p",
"type": "number",
"label": "Top P",
"validate": {
"max": 1,
"min": 0
}
},
{
"name": "n_completions",
"type": "number",
"label": "Number"
},
{
"name": "frequency_penalty",
"type": "number",
"label": "Frequency Penalty",
"validate": {
"max": 2,
"min": -2
}
},
{
"name": "presence_penalty",
"type": "number",
"label": "Presence Penalty",
"validate": {
"max": 2,
"min": -2
}
},
{
"name": "logit_bias",
"type": "array",
"label": "Token Probability",
"spec": {
"spec": [
{
"name": "token",
"type": "text",
"label": "Token ID",
"required": true
},
{
"name": "probability",
"type": "number",
"label": "Probability",
"required": true,
"validate": {
"max": 100,
"min": -100
}
}
],
"type": "collection",
"label": "Token Probability",
"name": "value"
}
},
{
"name": "response_format",
"type": "select",
"label": "Response Format",
"validate": {
"enum": [
"text",
"json_object"
]
}
},
{
"name": "seed",
"type": "integer",
"label": "Seed"
},
{
"name": "stop",
"type": "array",
"label": "Stop Sequences",
"validate": {
"maxItems": 4
},
"spec": {
"type": "text",
"label": "Stop Sequence",
"name": "value"
}
},
{
"name": "additionalParameters",
"type": "array",
"label": "Other Input Parameters",
"spec": {
"spec": [
{
"name": "key",
"type": "text",
"label": "Parameter Name",
"required": true
},
{
"name": "type",
"type": "select",
"label": "Input Type",
"options": [
{
"label": "Text",
"value": "text",
"nested": [
{
"name": "value",
"type": "text",
"label": "Parameter Value"
}
],
"default": true
},
{
"label": "Number",
"value": "number",
"nested": [
{
"name": "value",
"type": "number",
"label": "Parameter Value"
}
]
},
{
"label": "Boolean",
"value": "boolean",
"nested": [
{
"name": "value",
"type": "boolean",
"label": "Parameter Value"
}
]
},
{
"label": "Date",
"value": "date",
"nested": [
{
"name": "value",
"type": "date",
"label": "Parameter Value"
}
]
},
{
"label": "Any",
"value": "any",
"nested": [
{
"name": "value",
"type": "any",
"label": "Parameter Value"
}
]
}
]
}
],
"type": "collection",
"label": "Input Parameter",
"name": "value"
}
},
{
"name": "model",
"type": "select",
"label": "Model",
"required": true
},
{
"name": "messages",
"type": "array",
"label": "Messages",
"required": true,
"spec": {
"spec": [
{
"name": "role",
"type": "select",
"label": "Role",
"options": [
{
"label": "System",
"value": "system"
},
{
"label": "User",
"value": "user"
},
{
"label": "Assistant",
"value": "assistant"
}
],
"required": true
},
{
"name": "content",
"type": "text",
"label": "Message Content"
}
],
"type": "collection",
"label": "Message",
"name": "value"
}
}
]
}
},
{
"id": 5,
"module": "openai-gpt-3:CreateCompletion",
"version": 1,
"parameters": {
"__IMTCONN__": 2101033
},
"mapper": {
"select": "chat",
"max_tokens": "0",
"temperature": "1",
"top_p": "1",
"n_completions": "1",
"response_format": "text",
"model": "gpt-4o-mini",
"messages": [
{
"role": "system",
"content": "You are a google ads research specialist and especially have a deep klnowledge about the right keywords for ad campaigns.\n\nYou have to be aware that the keywords are for an ecommerce brand, meaning they should have search volumne for buying purposes."
},
{
"role": "user",
"content": "# Context\n\nYour goal now is to find keywords about the following topic: {{1.fieldsById.question_AzBJYB}}\n\nHere's more infos about the topic:\n{{3.result}}\n\n# Your Task\n\nNow your task is to research and generate keywords for google ads that potential customers are searching. \n\nSearch for the following kind of keywords:\n- Product-Specific Keywords (Keywords that describe your products' features, uses, or categories (e.g., \"wireless headphones with long battery life\").)\n- Emotional Keywords (Words that evoke feelings or desires, such as \"luxury,\" \"affordable,\" or \"eco-friendly.\")\n- Symptoms of a Problem (Keywords that describe the issues customers face, such as \"tired of noise distractions,\" \"struggling with focus,\" or \"headphones that hurt ears.\")\n\n# What to avoid\n\nI already did some research and found the following keywords: {{4.result}}\nDo not use them again.\n\n\n# Output\n\n- Research 10 of each category\n- Only deliver the keywords. Deliver them in bullet points, one keyword per line.\n\n"
}
]
},
"metadata": {
"designer": {
"x": 900,
"y": 0,
"name": "V4o Mini | Run 2"
},
"restore": {
"parameters": {
"__IMTCONN__": {
"label": "My OpenAI connection",
"data": {
"scoped": "true",
"connection": "openai-gpt-3"
}
}
},
"expect": {
"select": {
"label": "Create a Chat Completion (GPT Models)"
},
"logit_bias": {
"mode": "chose"
},
"response_format": {
"mode": "chose",
"label": "Text"
},
"stop": {
"mode": "chose"
},
"additionalParameters": {
"mode": "chose"
},
"model": {
"mode": "chose",
"label": "gpt-4o-mini (system)"
},
"messages": {
"mode": "chose",
"items": [
{
"role": {
"mode": "chose",
"label": "System"
}
},
{
"role": {
"mode": "chose",
"label": "User"
}
}
]
}
}
},
"parameters": [
{
"name": "__IMTCONN__",
"type": "account:openai-gpt-3",
"label": "Connection",
"required": true
}
],
"expect": [
{
"name": "select",
"type": "select",
"label": "Select Method",
"required": true,
"validate": {
"enum": [
"chat",
"prompt"
]
}
},
{
"name": "max_tokens",
"type": "number",
"label": "Max Tokens",
"required": true
},
{
"name": "temperature",
"type": "number",
"label": "Temperature",
"validate": {
"max": 2,
"min": 0
}
},
{
"name": "top_p",
"type": "number",
"label": "Top P",
"validate": {
"max": 1,
"min": 0
}
},
{
"name": "n_completions",
"type": "number",
"label": "Number"
},
{
"name": "frequency_penalty",
"type": "number",
"label": "Frequency Penalty",
"validate": {
"max": 2,
"min": -2
}
},
{
"name": "presence_penalty",
"type": "number",
"label": "Presence Penalty",
"validate": {
"max": 2,
"min": -2
}
},
{
"name": "logit_bias",
"type": "array",
"label": "Token Probability",
"spec": {
"spec": [
{
"name": "token",
"type": "text",
"label": "Token ID",
"required": true
},
{
"name": "probability",
"type": "number",
"label": "Probability",
"required": true,
"validate": {
"max": 100,
"min": -100
}
}
],
"type": "collection",
"label": "Token Probability",
"name": "value"
}
},
{
"name": "response_format",
"type": "select",
"label": "Response Format",
"validate": {
"enum": [
"text",
"json_object"
]
}
},
{
"name": "seed",
"type": "integer",
"label": "Seed"
},
{
"name": "stop",
"type": "array",
"label": "Stop Sequences",
"validate": {
"maxItems": 4
},
"spec": {
"type": "text",
"label": "Stop Sequence",
"name": "value"
}
},
{
"name": "additionalParameters",
"type": "array",
"label": "Other Input Parameters",
"spec": {
"spec": [
{
"name": "key",
"type": "text",
"label": "Parameter Name",
"required": true
},
{
"name": "type",
"type": "select",
"label": "Input Type",
"options": [
{
"label": "Text",
"value": "text",
"nested": [
{
"name": "value",
"type": "text",
"label": "Parameter Value"
}
],
"default": true
},
{
"label": "Number",
"value": "number",
"nested": [
{
"name": "value",
"type": "number",
"label": "Parameter Value"
}
]
},
{
"label": "Boolean",
"value": "boolean",
"nested": [
{
"name": "value",
"type": "boolean",
"label": "Parameter Value"
}
]
},
{
"label": "Date",
"value": "date",
"nested": [
{
"name": "value",
"type": "date",
"label": "Parameter Value"
}
]
},
{
"label": "Any",
"value": "any",
"nested": [
{
"name": "value",
"type": "any",
"label": "Parameter Value"
}
]
}
]
}
],
"type": "collection",
"label": "Input Parameter",
"name": "value"
}
},
{
"name": "model",
"type": "select",
"label": "Model",
"required": true
},
{
"name": "messages",
"type": "array",
"label": "Messages",
"required": true,
"spec": {
"spec": [
{
"name": "role",
"type": "select",
"label": "Role",
"options": [
{
"label": "System",
"value": "system"
},
{
"label": "User",
"value": "user"
},
{
"label": "Assistant",
"value": "assistant"
}
],
"required": true
},
{
"name": "content",
"type": "text",
"label": "Message Content"
}
],
"type": "collection",
"label": "Message",
"name": "value"
}
}
]
}
},
{
"id": 15,
"module": "openai-gpt-3:CreateCompletion",
"version": 1,
"parameters": {
"__IMTCONN__": 2101033
},
"mapper": {
"select": "chat",
"max_tokens": "0",
"temperature": "1",
"top_p": "1",
"n_completions": "1",
"response_format": "text",
"model": "gpt-4o-mini",
"messages": [
{
"role": "system",
"content": "You are a google ads research specialist and especially have a deep klnowledge about the right keywords for ad campaigns.\n\nYou have to be aware that the keywords are for an ecommerce brand, meaning they should have search volumne for buying purposes."
},
{
"role": "user",
"content": "# Context\n\nYour goal now is to find keywords about the following topic: {{1.fieldsById.question_AzBJYB}}\n\nHere's more infos about the topic:\n{{3.result}}\n\n# Your Task\n\nNow your task is to research and generate keywords for google ads that potential customers are searching. \n\nSearch for the following kind of keywords:\n- Questions and Queries (Phrased as questions, these keywords highlight specific problems, like \"how to choose headphones for concentration\" or \"why are my headphones uncomfortable?\")\n- Comparative Keywords (Phrases comparing products based on solving a problem, like \"best vs. worst noise-cancelling headphones\" or \"affordable headphones that block noise.)\n\n# What to avoid\n\nI already did some research and found the following keywords: {{4.result}}\nDo not use them again.\n\n\n# Output\n\n- Research 10 of each category\n- Only deliver the keywords. Deliver them in bullet points, one keyword per line.\n\n"
}
]
},
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{
"name": "frequency_penalty",
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{
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{
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],
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},
{
"id": 10,
"module": "email:ActionSendEmail",
"version": 7,
"parameters": {
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"saveAfterSent": false
},
"mapper": {
"to": [
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],
"subject": "Keyword Research - Result",
"contentType": "html",
"attachments": [],
"cc": [],
"bcc": [],
"from": "",
"sender": "",
"replyTo": "",
"inReplyTo": "",
"references": [],
"priority": "normal",
"headers": [],
"html": "Hi,\n
\nhere are your keywords:\n
\n
\n{{4.result}}\n{{5.result}}\n{{15.result}}\n
\n
\nWe wish you great success!"
},
"metadata": {
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},
"restore": {
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},
"saveAfterSent": {
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},
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"contentType": {
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"bcc": {
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},
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"name": "bcc",
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{
"name": "from",
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{
"name": "sender",
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"label": "Sender"
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}