Typeform
Typeform is an easy-to-use tool for collecting data, feedback, and more.
By integrating Braze and Typeform, you can:
- Update user profiles in Braze with data collected from their Typeform response
- Trigger messaging in Braze based on a user’s engagement with a typeform
- Personalize Braze messaging based on a user’s Typeform responses
Prerequisites
| Requirement | Description |
|---|---|
| Typeform account | A Typeform account with access to webhooks is required to take advantage of this partnership. |
| Braze Data Transformation | A Data Transformation URL is necessary to receive data from Typeform. |
Integration
Step 1: Set up the Braze Data Transformation to accept Typeform’s webhooks
Navigate to the Braze dashboard, and go to Data Settings > Data Transformation.
note:
If you are using the older navigation, you can find Transformations under Data.
Click Create Transformation to name your transformation, then choose a destination.
More on destinations
- POST: Track users: Transforms webhooks from a source platform into user profile updates, such as attributes, events, or purchases.
- PUT: Update multiple catalog items: Transforms webhooks from a source platform into catalog item updates.
- DELETE: Delete multiple catalog items: Transforms webhooks from a source platform into catalog item deletions.
- PATCH: Edit multiple catalog items: Transforms webhooks from a source platform into catalog item edits.
note:
Want to request additional destinations? Consider leaving product feedback.
After creating your transformation, you’ll see the detailed view of the transformation. Here, you can view the most recent webhook received for this transformation under Webhook details and a space to write your transformation code under Transformation code.
Capture your Webhook URL for use in the next step.
Step 2: Set up Typeform webhooks
Follow the steps in Typeform’s webhooks documentation to set up a webhook.
For step 4, add your Data Transformation webhook URL as the Destination URL
Send a test event to your Data Transformation by clicking View deliveries and then Send test request.
Step 3: Write transformation code to accept your chosen Typeform events
In this step, you will transform the webhook payload that will be sent from Typeform to a JavaScript object return value.
- Refresh your Data Transformation and make sure you can see the Typeform test payload in the Webhook Details.
- Update your Data Transformation code to support your chosen Typeform events.
- Click Validate to return a preview of your code’s output and to check if it’s an acceptable
/users/trackrequest. - Save and activate your Data Transformation.
Request body format
This return value must adhere to Braze’s /users/track request body format:
- Transformation code is accepted in the JavaScript programming language. Any standard JavaScript control flow, such as if/else logic, is supported.
- Transformation code accesses the webhook request body via the payload variable. This variable is an object populated by parsing the request body JSON.
- Any feature supported in our
/users/trackendpoint is supported, including:- User attributes objects, event objects, and purchase objects
- Nested attributes and nested custom event properties
- Subscription group updates
- Email address as an identifier
Example Typeform webhook payload
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Content-Type: application/json
{
"event_id": "01HC3PTZN05GJWT0QDXXB2QV8F",
"event_type": "form_response",
"form_response": {
"form_id": "uaIA4a7Y",
"token": "7pctqdoqxg41to97pctqdibhqn6hqvto",
"landed_at": "2023-10-06T23:57:52Z",
"submitted_at": "2023-10-06T23:58:18Z",
"hidden": {
"user_id": "hidden_value"
},
"definition": {
"id": "uaIA4a7Y",
"title": "Project Feedback Survey",
"fields": [
{
"id": "G0IbXtfvsfjV",
"ref": "814b9fc2-e6d2-4672-accf-22f754b84f20",
"type": "email",
"title": "Please provide your email",
"properties": {}
},
{
"id": "lg82q3t0rK03",
"ref": "e1503b62-0241-4269-9902-5c539abf305e",
"type": "short_text",
"title": "What was your role in the project?",
"properties": {}
},
{
"id": "UXftY0tSmuDV",
"ref": "5b839dbb-566b-47de-a47e-b0914d9ccf7c",
"type": "opinion_scale",
"title": "How would you rate the overall performance of the team?",
"properties": {}
},
{
"id": "fE17bXVUEB4E",
"ref": "fd6be99d-1ed1-4a4d-b811-f6ecdd8fa9b6",
"type": "yes_no",
"title": "Did the project meet its intended outcomes?",
"properties": {}
},
{
"id": "NmVOQFuI0vv9",
"ref": "cd2b4176-db9a-49bb-a918-4463720bbc79",
"type": "multiple_choice",
"title": "Which area of the project do you think went well?",
"properties": {},
"choices": [
{
"id": "RvV3LaMEQ2eK",
"ref": "2d5e0913-afe9-491c-b31c-0648dd397d56",
"label": "Communication"
},
{
"id": "7iXmfpPMeQvz",
"ref": "7a7749d2-5cd6-4bf7-9726-65c7ab11ec83",
"label": "Planning"
},
{
"id": "1No85DZlvP6f",
"ref": "d7b7304a-776b-4630-8bee-7dc7ef9c9404",
"label": "Execution"
},
{
"id": "ruMnsZWjyalW",
"ref": "41dc926a-85af-4625-8a61-725fda35afda",
"label": "Problem Solving"
},
{
"id": "CexnFN3roprG",
"ref": "cfdd2da4-8c57-4ff1-b4c0-1a5262e2ff84",
"label": "Other"
}
]
},
{
"id": "ZJop9pvoObzk",
"ref": "ce903cda-7e27-4b4c-9fa8-0623c47c61b4",
"type": "multiple_choice",
"title": "Which area of the project do you think could be improved?",
"properties": {},
"choices": [
{
"id": "YQLArFf0Wks5",
"ref": "09fa30c7-7bdc-4753-971e-0d922638d023",
"label": "Communication"
},
{
"id": "iGjaELgfnChw",
"ref": "61820c89-3426-464d-b031-c06de5125fd5",
"label": "Planning"
},
{
"id": "2EyI5tozFxro",
"ref": "c35f71b2-2a6d-4488-a1ba-87c2e711ce19",
"label": "Execution"
},
{
"id": "VGtsIHBLAhME",
"ref": "6c171a9a-9324-4f7d-adb9-290bd701efe9",
"label": "Problem Solving"
},
{
"id": "lVdV7MIL1anS",
"ref": "faba551f-4e6b-4377-9f74-11ca4fcc8ed5",
"label": "Other"
}
]
},
{
"id": "hcCNsLUHGXgv",
"ref": "d1ae8537-0d5a-4ca8-bb6b-f8057f04d7e2",
"type": "opinion_scale",
"title": "How satisfied were you with the level of communication during the project?",
"properties": {}
},
{
"id": "dBqPlgeKejN2",
"ref": "e2c884c1-0d92-4f18-9833-79dff0b3eef2",
"type": "nps",
"title": "How likely are you to recommend Braze for customer engagement services?",
"properties": {}
},
{
"id": "vLdpFmCmulF5",
"ref": "a86e48ec-6d10-49fc-ac03-4ac1aad4bfec",
"type": "dropdown",
"title": "In which country was the project executed?",
"properties": {}
}
],
"endings": [
{
"id": "LUpVm67y72vb",
"ref": "30c03bdf-80b3-45f5-8307-df8ca49046b1",
"title": "Thank you for taking the time to complete our survey!",
"type": "thankyou_screen",
"properties": {
"button_text": "Create a typeform",
"show_button": true,
"share_icons": true,
"button_mode": "default_redirect"
}
}
]
},
"answers": [
{
"type": "email",
"email": "[email protected]",
"field": {
"id": "G0IbXtfvsfjV",
"type": "email",
"ref": "814b9fc2-e6d2-4672-accf-22f754b84f20"
}
},
{
"type": "text",
"text": "Project",
"field": {
"id": "lg82q3t0rK03",
"type": "short_text",
"ref": "e1503b62-0241-4269-9902-5c539abf305e"
}
},
{
"type": "number",
"number": 9,
"field": {
"id": "UXftY0tSmuDV",
"type": "opinion_scale",
"ref": "5b839dbb-566b-47de-a47e-b0914d9ccf7c"
}
},
{
"type": "boolean",
"boolean": true,
"field": {
"id": "fE17bXVUEB4E",
"type": "yes_no",
"ref": "fd6be99d-1ed1-4a4d-b811-f6ecdd8fa9b6"
}
},
{
"type": "choice",
"choice": {
"id": "ruMnsZWjyalW",
"label": "Problem Solving",
"ref": "41dc926a-85af-4625-8a61-725fda35afda"
},
"field": {
"id": "NmVOQFuI0vv9",
"type": "multiple_choice",
"ref": "cd2b4176-db9a-49bb-a918-4463720bbc79"
}
},
{
"type": "choice",
"choice": {
"id": "lVdV7MIL1anS",
"label": "Other",
"ref": "faba551f-4e6b-4377-9f74-11ca4fcc8ed5"
},
"field": {
"id": "ZJop9pvoObzk",
"type": "multiple_choice",
"ref": "ce903cda-7e27-4b4c-9fa8-0623c47c61b4"
}
},
{
"type": "number",
"number": 8,
"field": {
"id": "hcCNsLUHGXgv",
"type": "opinion_scale",
"ref": "d1ae8537-0d5a-4ca8-bb6b-f8057f04d7e2"
}
},
{
"type": "number",
"number": 6,
"field": {
"id": "dBqPlgeKejN2",
"type": "nps",
"ref": "e2c884c1-0d92-4f18-9833-79dff0b3eef2"
}
},
{
"type": "choice",
"choice": {
"id": "KESjdqLseWmC",
"label": "Brazil",
"ref": "250210d9-33f6-4734-8ec6-06005a8ef66d"
},
"field": {
"id": "vLdpFmCmulF5",
"type": "dropdown",
"ref": "a86e48ec-6d10-49fc-ac03-4ac1aad4bfec"
}
}
],
"ending": {
"id": "LUpVm67y72vb",
"ref": "30c03bdf-80b3-45f5-8307-df8ca49046b1"
}
}
}
Example Data Transformations
The following are example templates built using our example Typeform webhook payload. These templates can be used as a starting point. You can start from scratch or delete specific components as you see fit.
In these example templates, we are logging a custom event to the Braze profile. The title of the Typeform will be passed as the custom event name, and the Typeform results will be passed as event properties. These example templates do not account for the Calendly, File Upload, or Payment question types in Typeform.
Example: Email as identifier
In this example template, we are using an email address (captured from an email address question within the typeform) as the identifier.
note:
If you intend to use an email address as an identifier, review our frequently asked questions for the /users/track endpoint for more information on expected behavior.
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/* In the Typeform webhook payload each question is stored as a “title” within each object of the “fields” array. Our code defines a “title” variable where we store the value of each field title. */
const titles = payload.form_response.definition.fields.map(field => field.title);
/* The answers array is saved to a “tfAnswers” variable so this can be iterated through */
const tfAnswers = payload.form_response.answers;
/* The value of a response will change based on the type of question, to account for this we have created a function that iterates through the answers, determines what the answer type is and then, based on the type, adds the associated response to an extractedValues array. */
const extractValues = (tfAnswers) => {
const extractedValues = [];
tfAnswers.forEach((tfAnswer) => {
let result = null;
if (tfAnswer.type === 'choices') {
if (tfAnswer.choices) {
// Multiple choices
let labels = tfAnswer.choices.labels || [];
if (tfAnswer.choices.other) {
labels.push(tfAnswer.choices.other);
}
result = labels;
}
} else if (tfAnswer.type === 'choice' && Object.keys(tfAnswer.choice).length > 1) {
// Single choice
result = tfAnswer.choice && tfAnswer.choice.other ?
tfAnswer.choice.other.toString() :
tfAnswer.choice.label.toString();
} else if (tfAnswer.type === 'dropdown') {
// Dropdown
result = tfAnswer.text;
} else {
// For other types, use the type-specific value
result = tfAnswer[tfAnswer.type];
}
extractedValues.push(result);
});
return extractedValues;
};
/* We use the above defined function, passing it the “tfAnswers” variable that holds the answers portion of the Typeform webhook payload and save the output to a ”values” variable */
const values = extractValues(tfAnswers);
/* Finally, the values within the previously assigned “titles” variable and “values” variable are paired together in an object as the values to a “question” key and “answer” key in a “responses” array of objects variable. */
const results = titles.map((title, index) => {
return {
question: title,
answer: values[index],
};
});
/* The code defines a variable, "brazecall", to build a /users/track request. Within the request, the typeform title is populated as the event name, and our “results” variable (where all of our question/answer pairs are stored), is assigned as the event’s properties. */
let brazecall = {
"events": [{
"email": payload.form_response.answers.find(answer => answer.type === 'email').email,
"name": payload.form_response.definition.title,
"time": new Date().toISOString(),
"properties": {
"responses": results
}
}]
};
// After the /users/track request is assigned to brazecall, you will want to explicitly return “brazecall” to create an output
return brazecall;
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{
"events": [
{
"email": "[email protected]",
"name": "Project Feedback Survey",
"time": "2023-10-17T18:21:39.527Z",
"properties": {
"responses": [
{
"question": "Please provide your email",
"answer": "[email protected]"
},
{
"question": "What was your role in the project?",
"answer": "Lorem ipsum dolor"
},
{
"question": "How would you rate the overall performance of the team?",
"answer": 5
},
{
"question": "Did the project meet its intended outcomes?",
"answer": true
},
{
"question": "If you answered \"No\" to the previous question, please explain why. If you answered \"Yes\", skip this question.",
"answer": "Lorem ipsum dolor"
},
{
"question": "Which area of the project do you think went well?",
"answer": "Communication"
},
{
"question": "Which area of the project do you think could be improved?",
"answer": "Communication"
},
{
"question": "How satisfied were you with the level of communication during the project?",
"answer": 5
},
{
"question": "How likely are you to recommend Braze for customer engagement services?",
"answer": 5
},
{
"question": "In which country was the project executed?",
"answer": "United States"
}
]
}
}
]
}
Example: Using identifier passed in Hidden Fields
You can use Typeform Hidden Fields to pass data in the Typeform webhook payload, such as a user’s ID, without having to pass this information in the Typeform response.
In this example template, we are using a “user_id” Hidden Field and passing this into the /users/track request payload as the external_id. Although we are using “user_id”, the fields can be modified to suit your needs.
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/* In the Typeform webhook payload each question is stored as a “title” within each object of the “fields” array. Our code defines a “title” variable where we store the value of each field title. */
const titles = payload.form_response.definition.fields.map(field => field.title);
/* The answers array is saved to a “tfAnswers” variable so this can be iterated through */
const tfAnswers = payload.form_response.answers;
/* The value of a response will change based on the type of question, to account for this we have created a function that iterates through the answers, determines what the answer type is and then, based on the type, adds the associated response to an extractedValues array. */
const extractValues = (tfAnswers) => {
const extractedValues = [];
tfAnswers.forEach((tfAnswer) => {
let result = null;
if (tfAnswer.type === 'choices') {
if (tfAnswer.choices) {
// Multiple choices
let labels = tfAnswer.choices.labels || [];
if (tfAnswer.choices.other) {
labels.push(tfAnswer.choices.other);
}
result = labels;
}
} else if (tfAnswer.type === 'choice' && Object.keys(tfAnswer.choice).length > 1) {
// Single choice
result = tfAnswer.choice && tfAnswer.choice.other ?
tfAnswer.choice.other.toString() :
tfAnswer.choice.label.toString();
} else if (tfAnswer.type === 'dropdown') {
// Dropdown
result = tfAnswer.text;
} else {
// For other types, use the type-specific value
result = tfAnswer[tfAnswer.type];
}
extractedValues.push(result);
});
return extractedValues;
};
/* We use the above defined function, passing it the “tfAnswers” variable that holds the answers portion of the Typeform webhook payload and save the output to a ”values” variable */
const values = extractValues(tfAnswers);
/* Finally, the values within the previously assigned “titles” variable and “values” variable are paired together in an object as the values to a “question” key and “answer” key in a “responses” array of objects variable. */
const results = titles.map((title, index) => {
return {
question: title,
answer: values[index],
};
});
/* The code defines a variable, "brazecall", to build a /users/track request. Within the request, the typeform title is populated as the event name, and our “results” variable (where all of our question/answer pairs are stored), is assigned as the event’s properties. */
let brazecall = {
"events": [{
"external_id": payload.form_response.hidden.user_id,
"name": payload.form_response.definition.title,
"time": new Date().toISOString(),
"properties": {
"responses": results
}
}]
};
// After the /users/track request is assigned to brazecall, you will want to explicitly return “brazecall” to create an output
return brazecall;
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{
"events": [
{
"external_id": "hidden_value",
"name": "Project Feedback Survey",
"time": "2023-10-17T18:27:22.209Z",
"properties": {
"responses": [
{
"question": "Please provide your email",
"answer": "[email protected]"
},
{
"question": "What was your role in the project?",
"answer": "Lorem ipsum dolor"
},
{
"question": "How would you rate the overall performance of the team?",
"answer": 5
},
{
"question": "Did the project meet its intended outcomes?",
"answer": true
},
{
"question": "If you answered \"No\" to the previous question, please explain why. If you answered \"Yes\", skip this question.",
"answer": "Lorem ipsum dolor"
},
{
"question": "Which area of the project do you think went well?",
"answer": "Communication"
},
{
"question": "Which area of the project do you think could be improved?",
"answer": "Communication"
},
{
"question": "How satisfied were you with the level of communication during the project?",
"answer": 5
},
{
"question": "How likely are you to recommend Braze for customer engagement services?",
"answer": 5
},
{
"question": "In which country was the project executed?",
"answer": "United States"
}
]
}
}
]
}
Step 4: Publish your Typeform webhook
After you have written your data transformation, click Validate to make your Data Transformation code is formatted correctly and will work as expected. Then, save and activate your Data Transformation.
Once activated, custom event data will be logged to a user’s profile when they complete your form.
Monitoring and troubleshooting
See the section Monitoring your transformation for more information on monitoring and troubleshooting your transformation.
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