| name | fullstory-element-properties |
| version | v2 |
| description | Comprehensive guide for implementing Fullstory's Element Properties API across Web, Android, and iOS platforms. Teaches proper type handling, schema construction, value formatting, and platform-specific patterns including view/cell reuse. Includes detailed good/bad examples for e-commerce, forms, and dynamic content to help developers add semantic decoration to their apps and capture business-relevant properties on interactive elements. |
| related_skills | fullstory-page-properties, fullstory-user-properties, fullstory-analytics-events, fullstory-data-scoping-decoration, fullstory-privacy-controls, fullstory-ecommerce, fullstory-saas |
Fullstory Element Properties API
Overview
Fullstory's Element Properties API allows developers to capture custom properties on UI elements that can be used for search, filtering, grouping, and analytics. Unlike standard attributes which are only used for CSS selectors, element properties become first-class data points for analysis, similar to user properties, page properties, and event properties.
This skill covers implementation across Web (Browser), Android, and iOS platforms.
Core Concepts
API Defined Elements
- API Defined Elements provide a programmatic approach to defining Elements in Fullstory
- Once created, these elements can be used across Fullstory features for search and analysis
- Elements are defined using the
data-fs-elementattribute with a name - Element names are permanently attached to their associated Element (though display name can change)
Element Properties vs Attributes
- Attributes: Used for CSS selectors and element matching only
- Element Properties: Can be used for filtering, grouping, and analytics
- Properties inherit from parent elements in the hierarchy
- The deepest property value is used when conflicts occur
Key Features
- Properties are captured on element interactions (clicks, taps, etc.)
- Properties inherit down the element hierarchy
- Multiple
data-fs-properties-schemacan be set in the same hierarchy - Properties automatically connect to Named Elements
⭐ Critical: Property Inheritance (Parent ↔ Child)
This is one of the most powerful features of Element Properties:
Two-way inheritance:
- Parent → Child: Properties defined on a parent element are inherited by all child elements
- Child → Parent: When an action occurs on a parent element, it captures properties from all defined child elements
┌─────────────────────────────────────────────────────────────────────┐
│ FORM (data-fs-element="checkout-form") │
│ │
│ ┌─────────────────────────────────────────────────────────────┐ │
│ │ SHIPPING SELECT (selectedShipping="express") │ │
│ └─────────────────────────────────────────────────────────────┘ │
│ │
│ ┌─────────────────────────────────────────────────────────────┐ │
│ │ PAYMENT SELECT (selectedPayment="credit_card") │ │
│ └─────────────────────────────────────────────────────────────┘ │
│ │
│ ┌─────────────────────────────────────────────────────────────┐ │
│ │ GIFT WRAP CHECKBOX (giftWrap="true") │ │
│ └─────────────────────────────────────────────────────────────┘ │
│ │
│ ┌─────────────────────────────────────────────────────────────┐ │
│ │ SUBMIT BUTTON (data-fs-element="submit-order") │ │
│ │ ─────────────────────────────────────────────────────── │ │
│ │ When clicked, captures ALL properties from siblings: │ │
│ │ • selectedShipping: "express" │ │
│ │ • selectedPayment: "credit_card" │ │
│ │ • giftWrap: true │ │
│ └─────────────────────────────────────────────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────────┘
Why this matters for analytics:
<!-- Form with multiple selections and a submit button -->
<form data-fs-element="checkout-form">
<select data-selected-shipping
data-fs-properties-schema='{"data-selected-shipping": "str"}'>
<option value="standard">Standard</option>
<option value="express" selected>Express</option>
</select>
<select data-selected-payment
data-fs-properties-schema='{"data-selected-payment": "str"}'>
<option value="credit_card" selected>Credit Card</option>
<option value="paypal">PayPal</option>
</select>
<label>
<input type="checkbox" checked data-gift-wrap="true"
data-fs-properties-schema='{"data-gift-wrap": "bool"}'>
Gift wrap
</label>
<!-- Submit button inherits ALL properties from above -->
<button type="submit" data-fs-element="submit-order">
Place Order
</button>
</form>
In Fullstory, when "submit-order" is clicked:
- The click event captures:
selectedShipping,selectedPayment,giftWrap - You can now create metrics like:
- "Submit clicks WHERE selectedPayment = 'paypal'"
- "Group submit clicks BY selectedShipping" → see which shipping option is most popular
- "Funnel: visits → checkout-form viewed → submit-order clicked WHERE giftWrap = true"
Key Insight: Define element properties on individual form fields, but the submit button (or any parent action element) will automatically capture the state of all child properties at the moment of interaction. This eliminates the need to manually aggregate form state.
Platform-Specific Implementation
WEB / BROWSER IMPLEMENTATION
Basic Syntax
Element properties are defined using HTML data attributes:
data-fs-properties-schema: JSON object defining which attributes to capture and their typesdata-fs-element: (Optional) Names the element for use in Fullstory
Schema Structure
{
"attribute-name": "type",
"attribute-name-2": {
"type": "type_value",
"name": "override_property_name"
}
}
Supported Value Types
| Type | Description | Examples |
|---|---|---|
str |
String value | "foo", "bar", "foo@bar" |
strs |
Array of strings | ["foo", "bar"] |
int |
Integer | 0, -123, 45 |
ints |
Array of integers | [0, 1, 2] |
real |
Float/decimal | 12.345, -0.5 |
reals |
Array of reals | [12.345, 1] |
bool |
Boolean | true, false, 1, 0, t, f |
bools |
Array of booleans | [true, false] |
date |
ISO8601 date/datetime | "2006-01-02T15:04:05Z" |
dates |
Array of dates | ["2006-01-02", "2006-01-02T15:04:05Z"] |
✅ GOOD WEB IMPLEMENTATION EXAMPLES
Example 1: E-commerce Product Card
<!-- GOOD: Comprehensive product card with proper typing and meaningful names -->
<div
class="product-card"
data-product-id="SKU-12345"
data-product-name="Premium Wireless Headphones"
data-product-category="Electronics"
data-product-price="199.99"
data-product-stock="15"
data-product-rating="4.5"
data-on-sale="true"
data-launch-date="2024-01-15"
data-tags='["wireless", "bluetooth", "noise-canceling"]'
data-fs-properties-schema='{
"data-product-id": {
"type": "str",
"name": "productId"
},
"data-product-name": {
"type": "str",
"name": "productName"
},
"data-product-category": {
"type": "str",
"name": "category"
},
"data-product-price": {
"type": "real",
"name": "price"
},
"data-product-stock": {
"type": "int",
"name": "stockLevel"
},
"data-product-rating": {
"type": "real",
"name": "rating"
},
"data-on-sale": {
"type": "bool",
"name": "isOnSale"
},
"data-launch-date": {
"type": "date",
"name": "launchDate"
},
"data-tags": {
"type": "strs",
"name": "productTags"
}
}'
data-fs-element="Product Card">
<button
class="add-to-cart"
data-fs-element="Add to Cart Button">
Add to Cart
</button>
</div>
Why this is good:
- ✅ Proper type mapping (real for price, int for stock, bool for sale status)
- ✅ Clean property names using the
nameoverride - ✅ Captures both scalar and array values appropriately
- ✅ Named element for easy reference in Fullstory
- ✅ Child button inherits all parent properties
- ✅ Uses semantic attribute names that describe the data
Example 2: Form with Hierarchy
<!-- GOOD: Form-level properties inherited by all fields -->
<form
class="checkout-form"
data-form-type="checkout"
data-form-step="payment"
data-user-tier="premium"
data-fs-properties-schema='{
"data-form-type": {
"type": "str",
"name": "formType"
},
"data-form-step": {
"type": "str",
"name": "checkoutStep"
},
"data-user-tier": {
"type": "str",
"name": "userTier"
}
}'
data-fs-element="Checkout Form">
<input
type="text"
name="cardNumber"
data-field-name="cardNumber"
data-field-required="true"
data-field-validation="credit-card"
data-fs-properties-schema='{
"data-field-name": {
"type": "str",
"name": "fieldName"
},
"data-field-required": {
"type": "bool",
"name": "isRequired"
},
"data-field-validation": {
"type": "str",
"name": "validationType"
}
}'
data-fs-element="Card Number Field">
<button
type="submit"
data-button-type="primary"
data-fs-properties-schema='{
"data-button-type": "str"
}'
data-fs-element="Submit Payment Button">
Complete Purchase
</button>
</form>
Why this is good:
- ✅ Hierarchical property inheritance (form properties flow to all children)
- ✅ Each element has appropriate context-specific properties
- ✅ All interactions capture both element-specific and form-level context
- ✅ Clear separation of concerns (form context vs field specifics)
Example 3: Dynamic Content (React/Vue Pattern)
// GOOD: Dynamically setting properties in a React component
function ProductCard({ product }) {
const schemaRef = useRef(null);
useEffect(() => {
if (schemaRef.current) {
// Set the schema as a data attribute
schemaRef.current.setAttribute('data-fs-properties-schema', JSON.stringify({
'data-product-id': { type: 'str', name: 'productId' },
'data-product-name': { type: 'str', name: 'productName' },
'data-price': { type: 'real', name: 'price' },
'data-in-stock': { type: 'bool', name: 'inStock' },
'data-variant-count': { type: 'int', name: 'variantCount' }
}));
// Set the actual attribute values
schemaRef.current.setAttribute('data-product-id', product.id);
schemaRef.current.setAttribute('data-product-name', product.name);
schemaRef.current.setAttribute('data-price', product.price.toString());
schemaRef.current.setAttribute('data-in-stock', product.inStock.toString());
schemaRef.current.setAttribute('data-variant-count', product.variants.length.toString());
schemaRef.current.setAttribute('data-fs-element', 'Product Card');
}
}, [product]);
return (
<div ref={schemaRef} className="product-card">
{/* Component content */}
</div>
);
}
Why this is good:
- ✅ Properly handles dynamic data
- ✅ Sets schema first, then values
- ✅ Converts values to strings as required
- ✅ Uses appropriate types for each property
- ✅ Includes element naming
❌ BAD WEB IMPLEMENTATION EXAMPLES
Example 1: Common Type Mistakes
<!-- BAD: Multiple type and naming issues -->
<button
class="product-buy"
data-price="$199.99"
data-quantity="5 items"
data-available="yes"
data-fs-properties-schema='{
"data-price": "str",
"data-quantity": "int",
"data-available": "bool"
}'
data-fs-element="Buy Button">
Buy Now
</button>
Why this is bad:
- ❌
data-pricecontains "$" currency symbol but typed as string (should be real and clean numeric: "199.99") - ❌
data-quantitycontains "items" text but typed as int (should be clean number: "5") - ❌
data-availableuses "yes" instead of boolean value (should be "true" or "1") - ❌ Lost ability to do numeric filtering, comparisons, and aggregations
CORRECTED VERSION:
<!-- GOOD: Proper types and clean values -->
<button
class="product-buy"
data-price="199.99"
data-quantity="5"
data-available="true"
data-currency="USD"
data-fs-properties-schema='{
"data-price": {
"type": "real",
"name": "price"
},
"data-quantity": {
"type": "int",
"name": "quantity"
},
"data-available": {
"type": "bool",
"name": "isAvailable"
},
"data-currency": {
"type": "str",
"name": "currency"
}
}'
data-fs-element="Buy Button">
Buy Now
</button>
Example 2: Over-capturing and Schema Bloat
<!-- BAD: Capturing too many irrelevant properties -->
<div
data-component-name="ProductCard"
data-component-version="1.2.3"
data-react-key="product-123"
data-render-timestamp="2024-10-20T14:30:00Z"
data-css-class="product-card mb-4 shadow-lg"
data-developer-name="John Doe"
data-git-commit="abc123def456"
data-build-number="4567"
data-product-id="SKU-123"
data-product-name="Widget"
data-fs-properties-schema='{
"data-component-name": "str",
"data-component-version": "str",
"data-react-key": "str",
"data-render-timestamp": "date",
"data-css-class": "str",
"data-developer-name": "str",
"data-git-commit": "str",
"data-build-number": "int",
"data-product-id": "str",
"data-product-name": "str"
}'>
Why this is bad:
- ❌ Captures technical/debug data not useful for analytics (component version, git commit, developer)
- ❌ Captures implementation details (react-key, css-class)
- ❌ Wastes property quota (limit of 50 per interaction, 500 total)
- ❌ Creates high cardinality issues (timestamp, git commits)
- ❌ Makes actual business data harder to find
- ❌ No meaningful names provided
CORRECTED VERSION:
<!-- GOOD: Only business-relevant properties -->
<div
data-product-id="SKU-123"
data-product-name="Widget"
data-product-category="Tools"
data-product-price="29.99"
data-fs-properties-schema='{
"data-product-id": {
"type": "str",
"name": "productId"
},
"data-product-name": {
"type": "str",
"name": "productName"
},
"data-product-category": {
"type": "str",
"name": "category"
},
"data-product-price": {
"type": "real",
"name": "price"
}
}'
data-fs-element="Product Card">
Example 3: Invalid JSON and Syntax Errors
<!-- BAD: Multiple JSON and syntax errors -->
<button
data-product-id="SKU-123"
data-price="49.99"
data-fs-properties-schema="{
'data-product-id': 'str',
"data-price": "real"
}"
data-fs-element="Add to Cart">
Add to Cart
</button>
Why this is bad:
- ❌ Mixed single and double quotes in JSON (invalid JSON)
- ❌ JSON will fail to parse
- ❌ Properties won't be captured at all
- ❌ Silent failure - no console errors
CORRECTED VERSION:
<!-- GOOD: Valid JSON with consistent quoting -->
<button
data-product-id="SKU-123"
data-price="49.99"
data-fs-properties-schema='{
"data-product-id": {
"type": "str",
"name": "productId"
},
"data-price": {
"type": "real",
"name": "price"
}
}'
data-fs-element="Add to Cart">
Add to Cart
</button>
Example 4: Missing Property Values
<!-- BAD: Schema references attributes that don't exist -->
<button
data-product-id="SKU-123"
data-fs-properties-schema='{
"data-product-id": "str",
"data-product-name": "str",
"data-price": "real",
"data-category": "str"
}'
data-fs-element="Product Button">
View Product
</button>
Why this is bad:
- ❌ Schema references
data-product-name,data-price,data-categorybut these attributes don't exist - ❌ Only
data-product-idwill be captured - ❌ Incomplete data reduces analytics value
- ❌ Creates confusion about what's actually being captured
CORRECTED VERSION:
<!-- GOOD: All referenced attributes exist -->
<button
data-product-id="SKU-123"
data-product-name="Premium Widget"
data-price="49.99"
data-category="Electronics"
data-fs-properties-schema='{
"data-product-id": {
"type": "str",
"name": "productId"
},
"data-product-name": {
"type": "str",
"name": "productName"
},
"data-price": {
"type": "real",
"name": "price"
},
"data-category": {
"type": "str",
"name": "category"
}
}'
data-fs-element="Product Button">
View Product
</button>
ANDROID IMPLEMENTATION
Basic Syntax
Element properties are set using the FS.setAttribute() method:
Java:
public static void FS.setAttribute(View view, String attributeName, String attributeValue);
Kotlin:
fun FS.setAttribute(view: View, attributeName: String, attributeValue: String)
✅ GOOD ANDROID IMPLEMENTATION EXAMPLES
Example 1: Product Card with Comprehensive Properties (Java)
// GOOD: Complete product card implementation with proper typing
public class ProductCardViewHolder extends RecyclerView.ViewHolder {
private View cardView;
public void bind(Product product) {
cardView = itemView.findViewById(R.id.product_card);
// Set individual attribute values
FS.setAttribute(cardView, "data-product-id", product.getId());
FS.setAttribute(cardView, "data-product-name", product.getName());
FS.setAttribute(cardView, "data-category", product.getCategory());
FS.setAttribute(cardView, "data-price", String.valueOf(product.getPrice()));
FS.setAttribute(cardView, "data-stock-level", String.valueOf(product.getStockLevel()));
FS.setAttribute(cardView, "data-rating", String.valueOf(product.getRating()));
FS.setAttribute(cardView, "data-on-sale", String.valueOf(product.isOnSale()));
FS.setAttribute(cardView, "data-launch-date", product.getLaunchDate().toString()); // ISO8601 format
// Set the properties schema - defines types for all attributes
String schema = new JSONObject()
.put("data-product-id", new JSONObject()
.put("type", "str")
.put("name", "productId"))
.put("data-product-name", new JSONObject()
.put("type", "str")
.put("name", "productName"))
.put("data-category", new JSONObject()
.put("type", "str")
.put("name", "category"))
.put("data-price", new JSONObject()
.put("type", "real")
.put("name", "price"))
.put("data-stock-level", new JSONObject()
.put("type", "int")
.put("name", "stockLevel"))
.put("data-rating", new JSONObject()
.put("type", "real")
.put("name", "rating"))
.put("data-on-sale", new JSONObject()
.put("type", "bool")
.put("name", "isOnSale"))
.put("data-launch-date", new JSONObject()
.put("type", "date")
.put("name", "launchDate"))
.toString();
FS.setAttribute(cardView, "data-fs-properties-schema", schema);
// Name the element for easy reference in Fullstory
FS.setAttribute(cardView, "data-fs-element", "Product Card");
// Configure child button - will inherit parent properties
Button addToCartBtn = itemView.findViewById(R.id.btn_add_to_cart);
FS.setAttribute(addToCartBtn, "data-fs-element", "Add to Cart Button");
}
}
Why this is good:
- ✅ Uses proper type conversions (String.valueOf for numbers/booleans)
- ✅ Provides clean property names via the
namefield - ✅ Sets schema AFTER all attribute values are set
- ✅ Uses JSONObject for clean schema construction
- ✅ Child elements automatically inherit parent properties
- ✅ Includes element naming for both parent and child
Example 2: Form with Field-Level Properties (Kotlin)
// GOOD: Comprehensive form tracking with hierarchy
class CheckoutFormFragment : Fragment() {
private fun setupFormTracking() {
val formContainer = view?.findViewById<ViewGroup>(R.id.checkout_form)
// Set form-level properties that all fields will inherit
formContainer?.let { form ->
FS.setAttribute(form, "data-form-type", "checkout")
FS.setAttribute(form, "data-form-step", "payment")
FS.setAttribute(form, "data-user-tier", "premium")
FS.setAttribute(form, "data-total-amount", viewModel.cartTotal.toString())
val formSchema = JSONObject().apply {
put("data-form-type", JSONObject().put("type", "str").put("name", "formType"))
put("data-form-step", JSONObject().put("type", "str").put("name", "checkoutStep"))
put("data-user-tier", JSONObject().put("type", "str").put("name", "userTier"))
put("data-total-amount", JSONObject().put("type", "real").put("name", "cartTotal"))
}.toString()
FS.setAttribute(form, "data-fs-properties-schema", formSchema)
FS.setAttribute(form, "data-fs-element", "Checkout Form")
}
// Set field-specific properties
val cardNumberField = view?.findViewById<EditText>(R.id.card_number_field)
cardNumberField?.let { field ->
FS.setAttribute(field, "data-field-name", "cardNumber")
FS.setAttribute(field, "data-field-required", "true")
FS.setAttribute(field, "data-field-type", "credit-card")
FS.setAttribute(field, "data-max-length", "16")
val fieldSchema = JSONObject().apply {
put("data-field-name", JSONObject().put("type", "str").put("name", "fieldName"))
put("data-field-required", JSONObject().put("type", "bool").put("name", "isRequired"))
put("data-field-type", JSONObject().put("type", "str").put("name", "fieldType"))
put("data-max-length", JSONObject().put("type", "int").put("name", "maxLength"))
}.toString()
FS.setAttribute(field, "data-fs-properties-schema", fieldSchema)
FS.setAttribute(field, "data-fs-element", "Card Number Field")
}
// Submit button inherits form properties
val submitButton = view?.findViewById<Button>(R.id.submit_payment)
submitButton?.let { button ->
FS.setAttribute(button, "data-button-type", "primary")
FS.setAttribute(button, "data-button-action", "submit-payment")
val buttonSchema = JSONObject().apply {
put("data-button-type", "str")
put("data-button-action", JSONObject().put("type", "str").put("name", "buttonAction"))
}.toString()
FS.setAttribute(button, "data-fs-properties-schema", buttonSchema)
FS.setAttribute(button, "data-fs-element", "Submit Payment Button")
}
}
}
Why this is good:
- ✅ Clear hierarchy: form properties inherited by all children
- ✅ Each element has context-specific properties
- ✅ Proper Kotlin idiomatic code with safe calls
- ✅ Uses JSONObject.apply for clean schema building
- ✅ All interactions capture full context
Example 3: RecyclerView with Dynamic Content (Java)
// GOOD: Handling dynamic list items with proper cleanup
public class ProductAdapter extends RecyclerView.Adapter<ProductAdapter.ViewHolder> {
@Override
public void onBindViewHolder(@NonNull ViewHolder holder, int position) {
Product product = products.get(position);
// Clear previous attributes (important for recycled views)
holder.clearFullstoryAttributes();
// Set new attributes
holder.setProductProperties(product);
}
static class ViewHolder extends RecyclerView.ViewHolder {
private List<String> appliedAttributes = new ArrayList<>();
void setProductProperties(Product product) {
View itemView = this.itemView;
// Track which attributes we're setting
appliedAttributes.clear();
// Set attributes
setAttribute(itemView, "data-product-id", product.getId());
setAttribute(itemView, "data-product-name", product.getName());
setAttribute(itemView, "data-price", String.valueOf(product.getPrice()));
setAttribute(itemView, "data-in-stock", String.valueOf(product.isInStock()));
setAttribute(itemView, "data-position", String.valueOf(getAdapterPosition()));
// Build and set schema
try {
String schema = new JSONObject()
.put("data-product-id", new JSONObject().put("type", "str").put("name", "productId"))
.put("data-product-name", new JSONObject().put("type", "str").put("name", "productName"))
.put("data-price", new JSONObject().put("type", "real").put("name", "price"))
.put("data-in-stock", new JSONObject().put("type", "bool").put("name", "inStock"))
.put("data-position", new JSONObject().put("type", "int").put("name", "listPosition"))
.toString();
setAttribute(itemView, "data-fs-properties-schema", schema);
setAttribute(itemView, "data-fs-element", "Product List Item");
} catch (JSONException e) {
Log.e("ProductAdapter", "Error building properties schema", e);
}
}
private void setAttribute(View view, String name, String value) {
FS.setAttribute(view, name, value);
appliedAttributes.add(name);
}
void clearFullstoryAttributes() {
// Note: There's no official remove method, but setting empty values works
for (String attr : appliedAttributes) {
FS.setAttribute(itemView, attr, "");
}
appliedAttributes.clear();
}
}
}
Why this is good:
- ✅ Handles RecyclerView recycling correctly
- ✅ Clears old attributes before setting new ones
- ✅ Tracks applied attributes for cleanup
- ✅ Includes error handling for JSON construction
- ✅ Sets position in list for analytics context
- ✅ Proper type conversions throughout
❌ BAD ANDROID IMPLEMENTATION EXAMPLES
Example 1: Type Mismatches and String Contamination (Java)
// BAD: Multiple type and formatting issues
public void bindProductCard(Product product) {
View cardView = findViewById(R.id.product_card);
// Setting formatted values instead of clean data
FS.setAttribute(cardView, "data-price", "$" + product.getPrice()); // BAD: includes $
FS.setAttribute(cardView, "data-stock", product.getStockLevel() + " items"); // BAD: includes "items"
FS.setAttribute(cardView, "data-available", product.isInStock() ? "Yes" : "No"); // BAD: uses Yes/No not bool
FS.setAttribute(cardView, "data-rating", product.getRating() + "/5 stars"); // BAD: includes text
// Schema with wrong types
String schema = "{" +
"\"data-price\": \"str\"," + // BAD: should be "real"
"\"data-stock\": \"int\"," + // BAD: value has text, will fail
"\"data-available\": \"bool\"," + // BAD: value is "Yes"/"No" not boolean
"\"data-rating\": \"str\"" + // BAD: should be "real"
"}";
FS.setAttribute(cardView, "data-fs-properties-schema", schema);
FS.setAttribute(cardView, "data-fs-element", "Product Card");
}
Why this is bad:
- ❌ Price includes "$" symbol but typed as string (loses ability to do numeric operations)
- ❌ Stock includes "items" text but typed as int (will fail parsing)
- ❌ Available uses "Yes"/"No" instead of boolean values
- ❌ Rating includes "/5 stars" text but typed as string (loses numeric analysis)
- ❌ Manual JSON string construction is error-prone
- ❌ No property name overrides for readability
CORRECTED VERSION:
// GOOD: Clean values with proper types
public void bindProductCard(Product product) {
View cardView = findViewById(R.id.product_card);
// Set clean values
FS.setAttribute(cardView, "data-price", String.valueOf(product.getPrice()));
FS.setAttribute(cardView, "data-stock", String.valueOf(product.getStockLevel()));
FS.setAttribute(cardView, "data-available", String.valueOf(product.isInStock()));
FS.setAttribute(cardView, "data-rating", String.valueOf(product.getRating()));
FS.setAttribute(cardView, "data-currency", "USD"); // Separate attribute for currency
try {
String schema = new JSONObject()
.put("data-price", new JSONObject()
.put("type", "real")
.put("name", "price"))
.put("data-stock", new JSONObject()
.put("type", "int")
.put("name", "stockLevel"))
.put("data-available", new JSONObject()
.put("type", "bool")
.put("name", "isAvailable"))
.put("data-rating", new JSONObject()
.put("type", "real")
.put("name", "rating"))
.put("data-currency", new JSONObject()
.put("type", "str")
.put("name", "currency"))
.toString();
FS.setAttribute(cardView, "data-fs-properties-schema", schema);
FS.setAttribute(cardView, "data-fs-element", "Product Card");
} catch (JSONException e) {
Log.e("ProductCard", "Error building schema", e);
}
}
Example 2: Setting Schema Before Values (Kotlin)
// BAD: Setting schema before attribute values
fun setupProductCard(product: Product) {
val cardView = findViewById<View>(R.id.product_card)
// BAD: Setting schema first
val schema = JSONObject().apply {
put("data-product-id", "str")
put("data-price", "real")
}.toString()
FS.setAttribute(cardView, "data-fs-properties-schema", schema)
// Then setting values (TOO LATE - schema won't capture these properly)
FS.setAttribute(cardView, "data-product-id", product.id)
FS.setAttribute(cardView, "data-price", product.price.toString())
FS.setAttribute(cardView, "data-fs-element", "Product Card")
}
Why this is bad:
- ❌ Schema is set before the actual attribute values
- ❌ May cause timing issues with property capture
- ❌ Best practice is to set values first, then schema
CORRECTED VERSION:
// GOOD: Setting values first, then schema
fun setupProductCard(product: Product) {
val cardView = findViewById<View>(R.id.product_card)
// Set attribute values FIRST
FS.setAttribute(cardView, "data-product-id", product.id)
FS.setAttribute(cardView, "data-price", product.price.toString())
// Then set schema
val schema = JSONObject().apply {
put("data-product-id", JSONObject().put("type", "str").put("name", "productId"))
put("data-price", JSONObject().put("type", "real").put("name", "price"))
}.toString()
FS.setAttribute(cardView, "data-fs-properties-schema", schema)
// Finally name the element
FS.setAttribute(cardView, "data-fs-element", "Product Card")
}
Example 3: Forgetting to Convert Numbers (Java)
// BAD: Not converting primitive types to String
public void setupView(View view, int quantity, double price, boolean available) {
// These will cause compilation errors
FS.setAttribute(view, "data-quantity", quantity); // ERROR: expects String
FS.setAttribute(view, "data-price", price); // ERROR: expects String
FS.setAttribute(view, "data-available", available); // ERROR: expects String
}
Why this is bad:
- ❌
FS.setAttribute()expects String for all values - ❌ Compilation errors
- ❌ Won't work at all
CORRECTED VERSION:
// GOOD: Proper type conversion to String
public void setupView(View view, int quantity, double price, boolean available) {
FS.setAttribute(view, "data-quantity", String.valueOf(quantity));
FS.setAttribute(view, "data-price", String.valueOf(price));
FS.setAttribute(view, "data-available", String.valueOf(available));
try {
String schema = new JSONObject()
.put("data-quantity", new JSONObject().put("type", "int").put("name", "quantity"))
.put("data-price", new JSONObject().put("type", "real").put("name", "price"))
.put("data-available", new JSONObject().put("type", "bool").put("name", "isAvailable"))
.toString();
FS.setAttribute(view, "data-fs-properties-schema", schema);
} catch (JSONException e) {
Log.e("ViewSetup", "Error building schema", e);
}
}
Example 4: RecyclerView Without Cleanup (Kotlin)
// BAD: Not handling view recycling properly
class ProductAdapter : RecyclerView.Adapter<ProductAdapter.ViewHolder>() {
override fun onBindViewHolder(holder: ViewHolder, position: Int) {
val product = products[position]
// BAD: Setting attributes without clearing old ones from recycled view
FS.setAttribute(holder.itemView, "data-product-id", product.id)
FS.setAttribute(holder.itemView, "data-product-name", product.name)
// More attributes...
// If this view was recycled, it might still have old attributes
// from previous product that no longer apply
}
}
Why this is bad:
- ❌ Recycled views retain old attributes
- ❌ Can cause data contamination (wrong product IDs on interactions)
- ❌ Creates confusing analytics data
CORRECTED VERSION:
// GOOD: Properly handling recycled views
class ProductAdapter : RecyclerView.Adapter<ProductAdapter.ViewHolder>() {
override fun onBindViewHolder(holder: ViewHolder, position: Int) {
val product = products[position]
// Clear old attributes by setting empty values
// (Note: Track previously set attributes in ViewHolder)
holder.clearPreviousAttributes()
// Set new attributes
holder.setProductAttributes(product, position)
}
class ViewHolder(itemView: View) : RecyclerView.ViewHolder(itemView) {
private val previousAttributes = mutableListOf<String>()
fun clearPreviousAttributes() {
previousAttributes.forEach { attr ->
FS.setAttribute(itemView, attr, "")
}
previousAttributes.clear()
}
fun setProductAttributes(product: Product, position: Int) {
// Set and track attributes
setAndTrack("data-product-id", product.id)
setAndTrack("data-product-name", product.name)
setAndTrack("data-price", product.price.toString())
setAndTrack("data-position", position.toString())
// Set schema
val schema = JSONObject().apply {
put("data-product-id", JSONObject().put("type", "str").put("name", "productId"))
put("data-product-name", JSONObject().put("type", "str").put("name", "productName"))
put("data-price", JSONObject().put("type", "real").put("name", "price"))
put("data-position", JSONObject().put("type", "int").put("name", "listPosition"))
}.toString()
setAndTrack("data-fs-properties-schema", schema)
setAndTrack("data-fs-element", "Product List Item")
}
private fun setAndTrack(attr: String, value: String) {
FS.setAttribute(itemView, attr, value)
previousAttributes.add(attr)
}
}
}
iOS IMPLEMENTATION
Basic Syntax
Element properties are set using the FS.setAttribute() method:
Objective-C:
[FS setAttribute:view attributeName:@"attribute-name" attributeValue:@"value"];
Swift:
FS.setAttribute(view: UIView, attributeName: String, attributeValue: String)
✅ GOOD iOS IMPLEMENTATION EXAMPLES
Example 1: Product Card with Comprehensive Properties (Swift)
// GOOD: Complete product card implementation
class ProductCardView: UIView {
private var addToCartButton: UIButton!
func configure(with product: Product) {
// Set all attribute values first
FS.setAttribute(self, attributeName: "data-product-id", attributeValue: product.id)
FS.setAttribute(self, attributeName: "data-product-name", attributeValue: product.name)
FS.setAttribute(self, attributeName: "data-category", attributeValue: product.category)
FS.setAttribute(self, attributeName: "data-price", attributeValue: String(product.price))
FS.setAttribute(self, attributeName: "data-stock-level", attributeValue: String(product.stockLevel))
FS.setAttribute(self, attributeName: "data-rating", attributeValue: String(product.rating))
FS.setAttribute(self, attributeName: "data-on-sale", attributeValue: String(product.isOnSale))
FS.setAttribute(self, attributeName: "data-launch-date", attributeValue: product.launchDate.iso8601String)
// Build properties schema as JSON string
let schema: [String: Any] = [
"data-product-id": [
"type": "str",
"name": "productId"
],
"data-product-name": [
"type": "str",
"name": "productName"
],
"data-category": [
"type": "str",
"name": "category"
],
"data-price": [
"type": "real",
"name": "price"
],
"data-stock-level": [
"type": "int",
"name": "stockLevel"
],
"data-rating": [
"type": "real",
"name": "rating"
],
"data-on-sale": [
"type": "bool",
"name": "isOnSale"
],
"data-launch-date": [
"type": "date",
"name": "launchDate"
]
]
// Convert to JSON string
if let schemaData = try? JSONSerialization.data(withJSONObject: schema),
let schemaString = String(data: schemaData, encoding: .utf8) {
FS.setAttribute(self, attributeName: "data-fs-properties-schema", attributeValue: schemaString)
}
// Name the element
FS.setAttribute(self, attributeName: "data-fs-element", attributeValue: "Product Card")
// Configure child button (inherits parent properties)
FS.setAttribute(addToCartButton, attributeName: "data-fs-element", attributeValue: "Add to Cart Button")
}
}
// Helper extension for ISO8601 dates
extension Date {
var iso8601String: String {
let formatter = ISO8601DateFormatter()
return formatter.string(from: self)
}
}
Why this is good:
- ✅ Proper type conversions using String() initializers
- ✅ Clean property names via
namefield - ✅ Uses Swift Dictionary for type-safe schema building
- ✅ Converts schema to JSON string properly
- ✅ Sets values before schema
- ✅ Includes ISO8601 date formatting
- ✅ Child button inherits parent properties
Example 2: Table View Cell with Reuse Handling (Swift)
// GOOD: Properly handling cell reuse in UITableView
class ProductTableViewCell: UITableViewCell {
private var currentAttributes: [String] = []
override func prepareForReuse() {
super.prepareForReuse()
clearFullstoryAttributes()
}
func configure(with product: Product, at indexPath: IndexPath) {
// Clear any existing attributes first
clearFullstoryAttributes()
// Set new attributes and track them
setAndTrack("data-product-id", product.id)
setAndTrack("data-product-name", product.name)
setAndTrack("data-price", String(product.price))
setAndTrack("data-in-stock", String(product.isInStock))
setAndTrack("data-row", String(indexPath.row))
setAndTrack("data-section", String(indexPath.section))
// Build schema
let schema: [String: Any] = [
"data-product-id": ["type": "str", "name": "productId"],
"data-product-name": ["type": "str", "name": "productName"],
"data-price": ["type": "real", "name": "price"],
"data-in-stock": ["type": "bool", "name": "inStock"],
"data-row": ["type": "int", "name": "rowIndex"],
"data-section": ["type": "int", "name": "sectionIndex"]
]
if let schemaData = try? JSONSerialization.data(withJSONObject: schema),
let schemaString = String(data: schemaData, encoding: .utf8) {
setAndTrack("data-fs-properties-schema", schemaString)
}
setAndTrack("data-fs-element", "Product Cell")
}
private func setAndTrack(_ attribute: String, _ value: String) {
FS.setAttribute(self, attributeName: attribute, attributeValue: value)
currentAttributes.append(attribute)
}
private func clearFullstoryAttributes() {
currentAttributes.forEach { attribute in
FS.setAttribute(self, attributeName: attribute, attributeValue: "")
}
currentAttributes.removeAll()
}
}
Why this is good:
- ✅ Handles cell reuse with
prepareForReuse() - ✅ Tracks applied attributes for cleanup
- ✅ Clears old attributes before setting new ones
- ✅ Includes position information (row/section) for context
- ✅ Helper methods for clean attribute management
Example 3: Form with Hierarchical Properties (Objective-C)
// GOOD: Form implementation with property inheritance
@implementation CheckoutFormViewController
- (void)setupFormTracking {
UIView *formContainer = self.formContainerView;
// Set form-level properties (inherited by all children)
[FS setAttribute:formContainer
attributeName:@"data-form-type"
attributeValue:@"checkout"];
[FS setAttribute:formContainer
attributeName:@"data-form-step"
attributeValue:@"payment"];
[FS setAttribute:formContainer
attributeName:@"data-user-tier"
attributeValue:self.userTier];
[FS setAttribute:formContainer
attributeName:@"data-cart-total"
attributeValue:[NSString stringWithFormat:@"%.2f", self.cartTotal]];
// Build form schema
NSDictionary *formSchema = @{
@"data-form-type": @{
@"type": @"str",
@"name": @"formType"
},
@"data-form-step": @{
@"type": @"str",
@"name": @"checkoutStep"
},
@"data-user-tier": @{
@"type": @"str",
@"name": @"userTier"
},
@"data-cart-total": @{
@"type": @"real",
@"name": @"cartTotal"
}
};
NSError *error;
NSData *formSchemaData = [NSJSONSerialization dataWithJSONObject:formSchema
options:0
error:&error];
if (formSchemaData && !error) {
NSString *formSchemaString = [[NSString alloc] initWithData:formSchemaData
encoding:NSUTF8StringEncoding];
[FS setAttribute:formContainer
attributeName:@"data-fs-properties-schema"
attributeValue:formSchemaString];
}
[FS setAttribute:formContainer
attributeName:@"data-fs-element"
attributeValue:@"Checkout Form"];
// Set field-specific properties
[self setupFieldTracking:self.cardNumberField
fieldName:@"cardNumber"
required:YES
fieldType:@"credit-card"];
// Submit button inherits form properties
[FS setAttribute:self.submitButton
attributeName:@"data-button-type"
attributeValue:@"primary"];
[FS setAttribute:self.submitButton
attributeName:@"data-fs-element"
attributeValue:@"Submit Payment Button"];
}
- (void)setupFieldTracking:(UITextField *)field
fieldName:(NSString *)name
required:(BOOL)required
fieldType:(NSString *)type {
[FS setAttribute:field attributeName:@"data-field-name" attributeValue:name];
[FS setAttribute:field attributeName:@"data-field-required"
attributeValue:required ? @"true" : @"false"];
[FS setAttribute:field attributeName:@"data-field-type" attributeValue:type];
NSDictionary *fieldSchema = @{
@"data-field-name": @{@"type": @"str", @"name": @"fieldName"},
@"data-field-required": @{@"type": @"bool", @"name": @"isRequired"},
@"data-field-type": @{@"type": @"str", @"name": @"fieldType"}
};
NSData *schemaData = [NSJSONSerialization dataWithJSONObject:fieldSchema
options:0
error:nil];
if (schemaData) {
NSString *schemaString = [[NSString alloc] initWithData:schemaData
encoding:NSUTF8StringEncoding];
[FS setAttribute:field
attributeName:@"data-fs-properties-schema"
attributeValue:schemaString];
}
[FS setAttribute:field
attributeName:@"data-fs-element"
attributeValue:[NSString stringWithFormat:@"%@ Field", name]];
}
@end
Why this is good:
- ✅ Clear hierarchy with form-level properties
- ✅ Reusable field setup method
- ✅ Proper error handling for JSON serialization
- ✅ Boolean values properly converted to "true"/"false" strings
- ✅ All child elements inherit form context
❌ BAD iOS IMPLEMENTATION EXAMPLES
Example 1: Type Mismatches and Formatting Issues (Swift)
// BAD: Multiple type and formatting problems
func configureProductCard(with product: Product) {
let cardView = self.productCardView
// BAD: Including formatting/symbols in numeric values
FS.setAttribute(cardView,
attributeName: "data-price",
attributeValue: "$\(product.price)") // BAD: includes $
FS.setAttribute(cardView,
attributeName: "data-stock",
attributeValue: "\(product.stockLevel) items") // BAD: includes "items"
FS.setAttribute(cardView,
attributeName: "data-available",
attributeValue: product.isInStock ? "Yes" : "No") // BAD: not boolean value
FS.setAttribute(cardView,
attributeName: "data-rating",
attributeValue: "\(product.rating) stars") // BAD: includes "stars"
// Schema with wrong types
let schema = """
{
"data-price": "str",
"data-stock": "int",
"data-available": "bool",
"data-rating": "str"
}
"""
FS.setAttribute(cardView,
attributeName: "data-fs-properties-schema",
attributeValue: schema)
}
Why this is bad:
- ❌ Price includes "$" making it a string, not a number
- ❌ Stock includes "items" text but typed as int
- ❌ Available uses "Yes"/"No" instead of "true"/"false"
- ❌ Rating includes "stars" text but typed as string
- ❌ Manual JSON string creation is error-prone
- ❌ No clean property names
CORRECTED VERSION:
// GOOD: Clean values with proper types
func configureProductCard(with product: Product) {
let cardView = self.productCardView
// Set clean numeric and boolean values
FS.setAttribute(cardView, attributeName: "data-price",
attributeValue: String(product.price))
FS.setAttribute(cardView, attributeName: "data-stock",
attributeValue: String(product.stockLevel))
FS.setAttribute(cardView, attributeName: "data-available",
attributeValue: String(product.isInStock))
FS.setAttribute(cardView, attributeName: "data-rating",
attributeValue: String(product.rating))
FS.setAttribute(cardView, attributeName: "data-currency",
attributeValue: "USD") // Separate field for currency
// Build schema using Dictionary for safety
let schema: [String: Any] = [
"data-price": ["type": "real", "name": "price"],
"data-stock": ["type": "int", "name": "stockLevel"],
"data-available": ["type": "bool", "name": "isAvailable"],
"data-rating": ["type": "real", "name": "rating"],
"data-currency": ["type": "str", "name": "currency"]
]
if let schemaData = try? JSONSerialization.data(withJSONObject: schema),
let schemaString = String(data: schemaData, encoding: .utf8) {
FS.setAttribute(cardView,
attributeName: "data-fs-properties-schema",
attributeValue: schemaString)
}
FS.setAttribute(cardView,
attributeName: "data-fs-element",
attributeValue: "Product Card")
}
Example 2: Not Handling Cell Reuse (Swift)
// BAD: UITableViewCell without cleaning up attributes
class ProductCell: UITableViewCell {
func configure(with product: Product) {
// BAD: Just setting new attributes without clearing old ones
FS.setAttribute(self, attributeName: "data-product-id", attributeValue: product.id)
FS.setAttribute(self, attributeName: "data-product-name", attributeValue: product.name)
// When this cell is reused, old attributes from previous product remain!
// This can cause wrong data to be captured
}
}
Why this is bad:
- ❌ Reused cells keep old attributes
- ❌ Can capture wrong product IDs/names
- ❌ Creates data integrity issues
- ❌ Doesn't override
prepareForReuse()
CORRECTED VERSION:
// GOOD: Proper cell reuse handling
class ProductCell: UITableViewCell {
private var trackedAttributes: [String] = []
override func prepareForReuse() {
super.prepareForReuse()
clearAttributes()
}
func configure(with product: Product) {
clearAttributes()
setAndTrack("data-product-id", product.id)
setAndTrack("data-product-name", product.name)
setAndTrack("data-price", String(product.price))
let schema: [String: Any] = [
"data-product-id": ["type": "str", "name": "productId"],
"data-product-name": ["type": "str", "name": "productName"],
"data-price": ["type": "real", "name": "price"]
]
if let schemaData = try? JSONSerialization.data(withJSONObject: schema),
let schemaString = String(data: schemaData, encoding: .utf8) {
setAndTrack("data-fs-properties-schema", schemaString)
}
setAndTrack("data-fs-element", "Product Cell")
}
private func setAndTrack(_ attr: String, _ value: String) {
FS.setAttribute(self, attributeName: attr, attributeValue: value)
trackedAttributes.append(attr)
}
private func clearAttributes() {
trackedAttributes.forEach { attr in
FS.setAttribute(self, attributeName: attr, attributeValue: "")
}
trackedAttributes.removeAll()
}
}
Example 3: Schema Before Values (Objective-C)
// BAD: Setting schema before values
- (void)configureProductCard:(Product *)product {
UIView *cardView = self.productCardView;
// BAD: Setting schema first
NSDictionary *schema = @{
@"data-product-id": @"str",
@"data-price": @"real"
};
NSData *schemaData = [NSJSONSerialization dataWithJSONObject:schema
options:0
error:nil];
NSString *schemaString = [[NSString alloc] initWithData:schemaData
encoding:NSUTF8StringEncoding];
[FS setAttribute:cardView
attributeName:@"data-fs-properties-schema"
attributeValue:schemaString];
// Then setting values (wrong order)
[FS setAttribute:cardView
attributeName:@"data-product-id"
attributeValue:product.productId];
[FS setAttribute:cardView
attributeName:@"data-price"
attributeValue:[NSString stringWithFormat:@"%.2f", product.price]];
}
Why this is bad:
- ❌ Schema set before values
- ❌ May cause timing/capture issues
- ❌ Values should always be set first
CORRECTED VERSION:
// GOOD: Values first, then schema
- (void)configureProductCard:(Product *)product {
UIView *cardView = self.productCardView;
// Set values FIRST
[FS setAttribute:cardView
attributeName:@"data-product-id"
attributeValue:product.productId];
[FS setAttribute:cardView
attributeName:@"data-price"
attributeValue:[NSString stringWithFormat:@"%.2f", product.price]];
// Then set schema
NSDictionary *schema = @{
@"data-product-id": @{@"type": @"str", @"name": @"productId"},
@"data-price": @{@"type": @"real", @"name": @"price"}
};
NSData *schemaData = [NSJSONSerialization dataWithJSONObject:schema
options:0
error:nil];
if (schemaData) {
NSString *schemaString = [[NSString alloc] initWithData:schemaData
encoding:NSUTF8StringEncoding];
[FS setAttribute:cardView
attributeName:@"data-fs-properties-schema"
attributeValue:schemaString];
}
[FS setAttribute:cardView
attributeName:@"data-fs-element"
attributeValue:@"Product Card"];
}
Example 4: Manual JSON String Construction (Swift)
// BAD: Manually building JSON strings
func setupProduct(_ product: Product) {
let cardView = self.cardView
FS.setAttribute(cardView, attributeName: "data-price", attributeValue: String(product.price))
FS.setAttribute(cardView, attributeName: "data-name", attributeValue: product.name)
// BAD: Manual JSON string construction
let schema = """
{
"data-price": {
"type": "real",
"name": "price"
},
"data-name": {
"type": "str",
"name": "productName"
}
}
"""
FS.setAttribute(cardView, attributeName: "data-fs-properties-schema", attributeValue: schema)
}
Why this is bad:
- ❌ Manual JSON string is error-prone
- ❌ Easy to make syntax errors (quotes, commas, brackets)
- ❌ No compile-time checking
- ❌ Hard to maintain
CORRECTED VERSION:
// GOOD: Using Dictionary and JSONSerialization
func setupProduct(_ product: Product) {
let cardView = self.cardView
FS.setAttribute(cardView, attributeName: "data-price",
attributeValue: String(product.price))
FS.setAttribute(cardView, attributeName: "data-name",
attributeValue: product.name)
// Use Dictionary for type safety
let schema: [String: Any] = [
"data-price": [
"type": "real",
"name": "price"
],
"data-name": [
"type": "str",
"name": "productName"
]
]
// Convert to JSON safely
if let schemaData = try? JSONSerialization.data(withJSONObject: schema),
let schemaString = String(data: schemaData, encoding: .utf8) {
FS.setAttribute(cardView,
attributeName: "data-fs-properties-schema",
attributeValue: schemaString)
}
}
LIMITS AND CONSTRAINTS
Global Limits
- 1,000 active API Defined Elements max (archived elements don't count)
- 50 unique properties per single element interaction max
- 500 unique properties across all element interactions max
Property Requirements
- Property Names:
- No type suffix needed (type is specified in schema)
- Follow standard naming conventions
- Use meaningful, readable names
- Property Values: Must match the specified type
- Cardinality: High cardinality properties may be limited
Best Practices for Limits
- ✅ Focus on business-relevant properties only
- ✅ Avoid debug/technical properties
- ✅ Use property hierarchy to reduce duplication
- ✅ Archive unused elements to free up quota
- ✅ Monitor your property count
COMMON IMPLEMENTATION PATTERNS
Pattern 1: Container + Interactive Element
Container (e.g., product card)
├── Properties: productId, productName, price, category
└── Button (e.g., "Add to Cart")
└── Inherits all container properties
└── Button interaction captures full product context
Pattern 2: Form + Fields
Form Container
├── Properties: formType, formStep, userTier
├── Field 1
│ ├── Inherits form properties
│ └── Own properties: fieldName, isRequired, fieldType
├── Field 2
│ └── Same pattern
└── Submit Button
└── Inherits form properties
Pattern 3: List Items
List Container
├── Properties: listType, totalItems, filterApplied
└── List Item (repeated)
├── Inherits list properties
└── Own properties: itemId, itemName, position
WHEN TO USE ELEMENT PROPERTIES
✅ Good Use Cases
- E-commerce Product Data: SKUs, prices, categories, stock levels
- Form Analytics: Form types, steps, field names, validation rules
- Content Tracking: Article IDs, categories, authors, publish dates
- A/B Testing: Variant names, experiment IDs
- User Segments: Tier levels, feature flags, entitlements
- Navigation Context: Section names, page types, user flows
❌ Avoid Element Properties For
- Technical/Debug Data: Component versions, render timestamps, git commits
- Styling Information: CSS classes, style properties
- Implementation Details: Framework internals, React keys
- High Cardinality: Unique timestamps, random IDs without business value
- Data Already Captured: Information available as user/page properties
- PII Without Consent: Personal information unless properly handled
TESTING AND VALIDATION
Pre-Deployment Checklist
- All attribute values are set before the schema
- All referenced attributes in schema actually exist
- Numeric values are clean (no symbols, units, text)
- Boolean values use "true"/"false" or "1"/"0"
- Date values are in ISO8601 format
- JSON schema is valid (no syntax errors)
- Property names are meaningful and use
nameoverride - Types match the actual data (real for decimals, int for whole numbers)
- Cell/view reuse is handled (mobile only)
- Elements are named with
data-fs-element
Validation in Fullstory
- Trigger an interaction on the decorated element
- Find the session in Fullstory
- Click on the element in the replay
- Check the Inspector for element properties
- Verify all properties appear with correct names and values
- Test filtering using the captured properties
TROUBLESHOOTING
Properties Not Appearing
Symptom: Properties don't show up in Fullstory after element interaction
Common Causes:
- ❌ Schema set before attribute values
- ❌ Invalid JSON in schema
- ❌ Attribute referenced in schema doesn't exist
- ❌ Type mismatch (e.g., "123abc" as int)
- ❌ Hit the 50/500 property limits
Solutions:
- ✅ Always set values before schema
- ✅ Use JSONObject/Dictionary, not manual strings
- ✅ Verify all attributes exist
- ✅ Ensure clean values matching types
- ✅ Check property count limits
Wrong Values Captured
Symptom: Properties show incorrect or stale values
Common Causes (Mobile):
- ❌ View/cell reuse not handled
- ❌ Old attributes not cleared
- ❌ Attributes set at wrong lifecycle point
Solutions:
- ✅ Implement prepareForReuse (iOS) or clear in onBindViewHolder (Android)
- ✅ Track and clear previous attributes
- ✅ Set attributes in appropriate lifecycle methods
Type Conversion Errors
Symptom: Numeric/boolean properties show as strings
Common Causes:
- ❌ Values contain non-numeric characters
- ❌ Type specified as "str" instead of "int"/"real"
- ❌ Boolean using "yes"/"no" instead of "true"/"false"
Solutions:
- ✅ Strip formatting before setting values
- ✅ Use correct type in schema
- ✅ Convert booleans to "true"/"false" strings
KEY TAKEAWAYS FOR AGENT
When helping developers implement Element Properties:
Always emphasize:
- Set attribute values BEFORE schema
- Use clean, unformatted values (no "$", "items", "Yes/No")
- Match types correctly (real for decimals, int for integers, bool for booleans)
- Provide meaningful property names via
nameoverride
For Web: Remind about JSON validity and proper data attribute syntax
For Android: Emphasize String.valueOf() conversions and RecyclerView reuse handling
For iOS: Emphasize JSONSerialization over manual strings and UITableView/UICollectionView reuse
Always ask about:
- What data is business-relevant?
- Is this element in a recycling container? (mobile)
- Are there parent elements that should have properties?
- What analytics questions need to be answered?
Red flags to watch for:
- Schema set before values
- Formatted numbers ("$10.99", "5 items")
- "Yes"/"No" for booleans
- Manual JSON string construction (mobile)
- No cell/view reuse handling (mobile)
- Over-capturing technical/debug data
REFERENCE LINKS
- Browser API: https://developer.fullstory.com/browser/fullcapture/set-element-properties/
- Android API: https://developer.fullstory.com/mobile/android/fullcapture/set-element-properties/
- iOS API: https://developer.fullstory.com/mobile/ios/fullcapture/set-element-properties/
- Help Center: https://help.fullstory.com/hc/en-us/articles/24236341468311-Extracted-Element-Properties
This skill document was created to help Agent understand and guide developers in implementing Fullstory's Element Properties API correctly across Web and Mobile platforms.