Analytics tagging on a headless adaptive form

Hi ​@kolluax,

Thanks for the question — yes, for a headless Adaptive Forms implementation, the recommended approach is generally to let AEM manage the form definition and business logic, while the front-end renderer handles the analytics instrumentation.

In practical terms, that means:

• AEM should remain the source of truth for the form structure, field definitions, validation rules, conditional logic, and stable identifiers for fields/steps.
• The React front end should handle the actual analytics tagging and event collection, since it owns the rendered experience and user interactions.

So if your form is being delivered as JSON from AEM and rendered in React, the front end is the right place to capture events such as:

• form render / form start
• field interaction
• validation errors shown to the user
• step or panel progression
• submit attempts
• successful submissions
• abandon/drop-off behavior

That said, I would not recommend treating AEM as only a passive JSON source. It is still valuable for AEM to own the canonical form model and business semantics — for example, stable field names, step names, and any business-specific event meaning you want to keep consistent across channels.

A good pattern is:

• AEM owns: form schema, rules, validation, identifiers, business meaning
• React owns: UI event instrumentation, data layer updates, Adobe Analytics / Tags / Web SDK calls

This gives you the best of both worlds:

• a consistent form definition managed centrally in AEM
• analytics implemented where the user interaction actually happens
• better flexibility if the same form is later rendered in another channel

If helpful, I can also share a recommended event taxonomy and data layer structure for a headless Adaptive Forms implementation in React, so your team has a concrete starting point for analytics design.

Thanks

Hi ​@kolluax,

Absolutely — below is a recommended starter event taxonomy for a headless Adaptive Forms implementation rendered in React.

The goal is to keep the taxonomy:

• simple enough to implement quickly
• consistent across forms
• stable over time
• aligned to both UX analysis and business reporting

Recommended event taxonomy

Recommended event context

For each event, I would suggest sending a common set of attributes so reporting stays consistent:

Form-level attributes

• formId
• formName
• formTitle
• formVersion
• formPath
• channel (for example: web, mobile, spa)
• pageName or route
• authenticatedState

Step/panel-level attributes

• stepName
• stepTitle
• stepIndex

Field-level attributes

• fieldName
• fieldLabel
• fieldType
• fieldRequired
• fieldVisible

Error attributes

• errorCode
• errorType
• errorMessage
• validationStage (client or server)

Timing attributes

• timeSinceFormRender
• timeOnStep
• timeOnField

Recommended implementation guidance

To keep things maintainable:

• Let AEM own the stable identifiers such as form name, field name, step name, and business semantics.
• Let the React renderer emit the analytics events, since it owns the actual user interaction lifecycle.
• Keep event names generic and reusable, and use attributes for form-specific detail instead of inventing new event names per form.

For example, instead of creating separate events like:

• loan_form_email_error
• quote_form_email_error

use one reusable event:

• field_error

and pass the context in attributes such as:

• formName = loan_application
• fieldName = email

This keeps reporting much easier to scale.

Suggested minimum implementation for phase 1

If the team wants to start small, I’d recommend implementing these first:

1. form_render
2. form_start
3. step_view
4. field_error
5. form_submit_attempt
6. form_submit_success
7. form_abandon

That will already provide a strong funnel view for:

• form usage
• drop-off points
• validation friction
• submit conversion

Optional business events

In addition to the core UX events above, you may also want a small number of business-specific events, for example:

• eligibility_passed
• eligibility_failed
• quote_generated
• application_review_started
• document_upload_completed

These should be used sparingly and only for moments that are meaningful to the business, not for generic UI behavior.

Example structure

A simple event payload pattern could look like this:

{
  "event": "field_error",
  "formName": "account_opening",
  "formVersion": "v3",
  "stepName": "personal_details",
  "fieldName": "email",
  "fieldType": "text-input",
  "errorType": "validation",
  "errorCode": "invalid_format",
  "timeSinceFormRender": 42
}

Recommended next step

If helpful, the next step would be to define:

1. the final event names
2. the required attributes
3. the Adobe Analytics / Tags mapping
4. the React implementation hooks

That usually gives the team a complete and implementation-ready analytics contract.

Thanks
Pranay