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AB Tasty Integration Guide

Connect AB Tasty experimentation, personalization, and feature-management data with enterprise systems through REST APIs, selected webhook notifications, and Martini workflows.

AB Tasty integration options at a glance

AB Tasty provides REST APIs for programmatic access to Accounts, Projects, Campaigns, Variations, Audiences, Goals, and related configuration data. Selected AB Tasty product areas or events also support webhook-style notifications, although coverage is not universal across every object or lifecycle change. API credentials or tokens, account permissions, pagination, filtering, rate limits, and API-version differences should be confirmed for each implementation. Martini can consume the REST APIs, receive supported notifications through an exposed API endpoint, map JSON payloads, apply validation and business rules, and synchronize results with databases, warehouses, governance applications, analytics platforms, or other enterprise APIs.

Integration pointSupported by AB Tasty?Common use casesHow Martini supports it
REST APIsYesRetrieve Accounts, Projects, Campaigns, Variations, Audiences, Goals, and related configuration or reporting data. Use filters, status parameters, and pagination where provided.Martini can consume AB Tasty REST endpoints from workflows, authenticate with protected configuration, transform JSON responses, and write results to downstream systems.
Webhooks and outbound callbacksLimitedReceive selected campaign, project, or product-area notifications such as lifecycle changes where enabled and documented. Coverage is not universal for every AB Tasty object.Martini can expose an API endpoint, validate and deduplicate notifications, retrieve the current AB Tasty resource when necessary, and start asynchronous workflow processing.
AuthenticationYesUse account-level API credentials or tokens with account or project permissions. The exact token format, header, and permission model should be confirmed for each API product.Martini stores credentials in secrets or environment configuration and applies them to API requests without embedding them in workflows or logs.
Reporting and analytics accessLimitedRetrieve campaign or experimentation reporting where the customer’s subscription and API version expose the required endpoints. UI metrics should not automatically be assumed to be API-accessible.Martini can schedule retrieval, distinguish configuration from result data, normalize dimensions and metrics, and deliver approved data to analytics or warehouse platforms.
Bulk or asynchronous APIsNot confirmedNo general bulk or asynchronous API covering all AB Tasty objects was confirmed. High-volume designs should verify any product-specific export or reporting endpoint.Martini can orchestrate paginated calls and controlled batching when supported by the API, but should not assume a vendor bulk endpoint.
File or attachment APIsNot confirmedNo general-purpose AB Tasty file import, export, or attachment API was confirmed for the researched integration scope.Martini can process files from supported enterprise endpoints if AB Tasty supplies a documented export, but the vendor mechanism must be confirmed first.
Database or direct analytics accessLimitedCampaign and experimentation reporting may be available through product APIs, but direct database access and complete reporting coverage were not confirmed.Martini can consume documented reporting endpoints or write normalized results to a database; it should not connect directly to AB Tasty databases without an explicitly supported interface.
Scheduled synchronizationYesPeriodically reconcile Projects, Campaigns, Variations, Audiences, Goals, and available reporting data with enterprise stores or governance applications.Martini scheduler-triggered workflows can paginate results, maintain checkpoints, perform upserts, and retry transient failures.

How AB Tasty exposes data and business events

AB Tasty REST APIs

AB Tasty REST APIs provide the primary documented mechanism for programmatic access to Accounts, Projects, Campaigns, Variations, Audiences, Goals, and related configuration data. Collection endpoints may require pagination, filtering, status parameters, and account or project identifiers. Reporting availability and schema vary by product area, subscription, and API version.

Martini implementation pattern

Martini implementation pattern: a scheduled or API-triggered workflow authenticates with protected AB Tasty credentials, calls the required REST resources, follows pagination, maps JSON into a canonical model, applies business rules, and writes idempotently to the selected destination. The workflow records checkpoints, resource identifiers, correlation data, and failures for reconciliation.

Implementation sequence

Start the scheduled or API-triggered Martini workflow
Authenticate with the configured AB Tasty account credentials
Retrieve the required Projects, Campaigns, Variations, Audiences, or Goals
Follow pagination and apply supported filters or status parameters
Map the JSON response to the canonical enterprise model
Apply validation, lifecycle, ownership, and privacy rules before writing data anywhere.

AB Tasty Webhook Notifications

AB Tasty supports webhook-style notifications for selected events or product areas, but this is not a universal change-data-capture stream. The implementation must confirm supported event types, delivery guarantees, authentication or signature verification, payload completeness, and retry behavior.

Martini implementation pattern

Martini implementation pattern: Martini exposes a controlled API endpoint, validates the incoming request, stores an event key for idempotency, returns a prompt response where appropriate, and starts a workflow. The workflow retrieves the current AB Tasty Campaign or Project when the notification contains only an identifier, then routes approved lifecycle information to downstream systems.

Implementation sequence

Receive the documented AB Tasty notification at a Martini API endpoint
Validate the request method, content type, credentials, signature, or shared secret
Derive an event key and reject duplicate or stale notifications
Retrieve the current AB Tasty resource when the payload is incomplete
Map the lifecycle event and apply downstream routing rules
Write the result, record processing status, and retry transient failures

Common AB Tasty integration patterns

Pattern 1: Synchronize campaign configuration to a warehouse

When to use this pattern

Use this pattern when analytics, governance, or marketing operations need a consistent view of AB Tasty Projects, Campaigns, Variations, Audiences, and Goals. It is appropriate for scheduled reconciliation where webhook coverage is incomplete.

Integration direction
AB Tasty
Martini
Snowflake
Example Mapping
AB Tasty FieldCanonical FieldTarget Field
campaignIdexperiment.idCAMPAIGN_ID
campaign.statusexperiment.lifecycleStatusSTATUS
projectIddigitalProperty.idPROJECT_ID
campaign.startDateexperiment.startAtSTART_AT
Martini implementation pattern

A scheduler starts a Martini workflow that retrieves each required collection, follows pagination, normalizes dates and lifecycle states, and upserts rows using stable AB Tasty identifiers. The workflow stores a checkpoint or bounded lookback window, limits request concurrency, and sends failed pages to controlled retry or reconciliation handling.

Martini capabilities used
  • scheduled workflows
  • API consumption
  • pagination orchestration
  • data mapping
  • business rules
  • idempotent writes
  • error handling

Pattern 2: Process campaign lifecycle notifications

When to use this pattern

Use this pattern when product, marketing, or release operations need prompt notification of supported AB Tasty campaign or project events. It should be limited to event types documented for the customer’s AB Tasty product area.

Integration direction
AB Tasty
Martini
Salesforce
Example Mapping
AB Tasty FieldCanonical FieldTarget Field
eventTypelifecycle.eventTypeCampaign_Event__c
campaignIdexperiment.idAB_Tasty_Campaign_Id__c
campaign.statusexperiment.lifecycleStatusStatus__c
eventTimestamplifecycle.occurredAtOccurred_At__c
Martini implementation pattern

Martini receives the notification through an exposed API, verifies it, deduplicates it, and retrieves the current Campaign when required. Business rules determine whether the event updates Salesforce, an approval process, or an audit store; transient downstream errors are retried without replaying accepted events.

Martini capabilities used
  • API exposure
  • webhook consumption
  • workflow orchestration
  • validation
  • deduplication
  • data enrichment
  • retry handling

Pattern 3: Deliver experiment metadata to analytics

When to use this pattern

Use this pattern when an organization needs to join AB Tasty experiment definitions with conversion, customer, order, or product data in an analytics platform. Confirm which result, exposure, and reporting fields are available before treating them as metrics.

Integration direction
AB Tasty
Martini
Google Analytics 4
Example Mapping
AB Tasty FieldCanonical FieldTarget Field
campaignIdexperiment.keyexperiment_id
variationIdvariant.keyvariation_id
goalIdmeasurement.goalKeygoal_id
campaign.statusexperiment.statusexperiment_status
Martini implementation pattern

A Martini workflow retrieves approved campaign and variation metadata, distinguishes configuration from exposure and result data, maps fields to the analytics contract, and sends only supported events or attributes. Validation rejects incomplete identifiers, while delivery results and failed batches are logged for replay or reconciliation.

Martini capabilities used
  • scheduled workflows
  • REST API consumption
  • canonical mapping
  • JSON handling
  • validation
  • business rules
  • monitoring and error handling

Pattern 4: Govern AB Tasty project configuration

When to use this pattern

Use this pattern when multiple AB Tasty Projects must comply with naming, ownership, lifecycle, and scheduling policies. The workflow can identify exceptions without changing AB Tasty unless an explicitly approved write operation is designed.

Integration direction
AB Tasty
Martini
Contentsquare
Example Mapping
AB Tasty FieldCanonical FieldTarget Field
projectIdproperty.idproject_id
campaign.nameexperiment.namecampaign_name
campaign.ownerownership.ownerowner
campaign.endDategovernance.approvedEndAtapproved_end_at
Martini implementation pattern

Martini retrieves project and campaign configuration, compares it with approved internal rules, and routes exceptions to a governance or notification destination. The workflow preserves source status and scheduling fields, records resource identifiers, and isolates permission failures or malformed schemas from the rest of the project scan.

Martini capabilities used
  • workflow orchestration
  • API consumption
  • data validation
  • business rules
  • mapping and transformation
  • exception routing
  • audit logging

Applications commonly integrated with AB Tasty

AB Tasty data can be connected to analytics, customer-data, governance, and warehouse platforms. The exact event coverage and direction should be validated against the customer’s AB Tasty product edition, API access, and implementation model.

Application Scenario Direction Martini Pattern
Google Analytics 4 Combine AB Tasty experiment or personalization activity with web analytics and conversion reporting. AB Tasty → Martini → Google Analytics 4 Martini retrieves campaign metadata or receives supported events, normalizes experiment identifiers and lifecycle states, and sends approved event or configuration data to Google Analytics 4 through its available ingestion interface.
Adobe Analytics Correlate experimentation assignments and campaign outcomes with Adobe digital analytics data. AB Tasty → Martini → Adobe Analytics Martini transforms AB Tasty campaign and variation metadata into the agreed Adobe Analytics event or data model, applies validation, and routes only supported fields to the downstream analytics endpoint.
Segment Route experimentation and customer-experience events to analytics, warehouse, and customer-data destinations. AB Tasty → Martini → Segment A Martini workflow receives supported AB Tasty notifications or retrieves campaign data, maps identifiers and attributes to the Segment event model, and sends the result while recording delivery status and retries.
Contentsquare Combine experimentation activity with behavioral analytics, session analysis, and experience insights. AB Tasty → Martini → Contentsquare Martini prepares a normalized experiment and campaign payload, enriches it with approved project context, and delivers it to the customer’s Contentsquare integration or shared event layer where supported.
Salesforce Use CRM attributes or customer segments in personalization workflows and associate selected experiment outcomes with customer or account data. Salesforce → Martini → AB Tasty Martini retrieves approved Salesforce attributes, applies consent and eligibility rules, and sends only permitted audience or project data to AB Tasty; selected AB Tasty lifecycle data can flow back to Salesforce.
Snowflake Centralize campaign metadata, experiment results, and related business data for enterprise reporting and analysis. AB Tasty → Martini → Snowflake A scheduled Martini workflow retrieves available AB Tasty configuration or reporting data, paginates through results, maps it to warehouse tables, and performs idempotent upserts with reconciliation logging.
Amplitude Relate experimentation activity to product analytics, behavioral cohorts, and conversion analysis. AB Tasty → Martini → Amplitude Martini maps supported AB Tasty campaign and variation identifiers to the agreed Amplitude event schema, validates required properties, and sends data through the customer’s approved Amplitude ingestion method.
Optimizely Support migration, coexistence, or comparative experimentation governance between AB Tasty and another experimentation platform. AB Tasty → Martini → Optimizely Martini extracts AB Tasty project, campaign, variation, audience, and goal metadata, transforms it into a governed interchange model, and sends compatible fields to Optimizely for migration or comparison rather than runtime traffic control.

How to build a AB Tasty integration in Martini

Objective

Establish AB Tasty API access using the account credentials, permissions, base URL, and API version appropriate to the selected product area.

Instructions in Martini

  • Confirm the required AB Tasty token format, header, account scope, and project permissions.
  • Store credentials in Martini secrets or protected environment configuration.
  • Use separate non-production and production configuration where applicable.
  • Test access with a narrowly scoped resource request.

Objective

Select a scheduled trigger for reconciliation or a Martini API endpoint for supported AB Tasty notifications.

Instructions in Martini

  • Use a scheduler for Projects, Campaigns, Variations, Audiences, Goals, or reporting synchronization.
  • Use an API endpoint only for documented AB Tasty webhook event types.
  • Define event acknowledgment, timeout, and duplicate-processing behavior.

Objective

Call the required AB Tasty REST resources or process the incoming notification while accounting for pagination and incomplete event payloads.

Instructions in Martini

  • Retrieve the current resource after a webhook when the payload contains only an identifier.
  • Continue through collection pages until the API indicates that no pages remain.
  • Apply supported filters and status parameters.
  • Respect rate limits and avoid unrestricted parallel requests.

Objective

Coordinate retrieval, enrichment, transformation, destination writes, and operational state in a maintainable Martini workflow.

Instructions in Martini

  • Separate vendor-specific API calls from canonical transformation logic.
  • Persist checkpoints, resource identifiers, and correlation information.
  • Route partial failures to retry or reconciliation handling.
  • Keep longer webhook processing asynchronous where appropriate.

Objective

Transform AB Tasty JSON into the target application, analytics, warehouse, or governance model without losing source identifiers or lifecycle meaning.

Instructions in Martini

  • Map Projects, Campaigns, Variations, Audiences, and Goals to canonical fields.
  • Preserve source status, activation state, start date, and end date.
  • Validate required identifiers and reject malformed or incomplete payloads.
  • Distinguish configuration, exposure, conversion, and aggregated reporting data.

Objective

Apply ownership, privacy, eligibility, lifecycle, naming, and destination-routing rules before transmitting data to another system.

Instructions in Martini

  • Restrict audience or customer attributes to approved fields.
  • Use stable identifiers for idempotency and destination upserts.
  • Do not infer business meaning only from an active Boolean.
  • Record governance exceptions separately from technical failures.

Common AB Tasty data objects used in integrations

ObjectTypical UseCommon target systemsMartini handling
AccountsRepresent top-level AB Tasty customer or organizational containers that own projects and configuration.Governance databases, identity or permission reviews, data warehousesMartini retrieves account identifiers and permitted attributes, validates account scope, and maps them to the enterprise ownership model.
ProjectsRepresent digital properties or implementation contexts where experiments, feature flags, or personalization activities are configured.Governance applications, data warehouses, release catalogsMartini synchronizes project identifiers, ownership, status, and environment metadata with idempotent upserts and reconciliation.
CampaignsRepresent experimentation, personalization, or feature-management initiatives with targeting, scheduling, and activation state.Analytics platforms, approval workflows, governance systems, warehousesMartini preserves lifecycle status and scheduling fields, applies business rules, and retrieves the current object after selected webhook events.
VariationsRepresent alternative versions of an experience or feature configuration tested within a campaign.Analytics platforms, experimentation catalogs, warehousesMartini maps variation identifiers and campaign relationships, validates required fields, and avoids treating configuration as final performance results.
AudiencesDefine targeting rules used to determine which visitors or users are eligible for a campaign.Customer-data platforms, governance systems, analytics storesMartini transfers only approved audience attributes, applies privacy and eligibility rules, and records source identifiers for traceability.
GoalsRepresent conversion or measurement objectives used to evaluate campaign performance.Analytics platforms, reporting warehouses, governance applicationsMartini maps goal definitions and relationships to campaigns while distinguishing goal configuration from aggregated or statistically processed results.

Authentication and security considerations

Credentials and permissions

AB Tasty API access requires account-level credentials or tokens. Confirm the current token format, request header, API version, and account or project permissions for each operation before implementation.

Secret management

Store AB Tasty credentials in Martini secrets or protected environment configuration. Use separate credentials for development, staging, and production where applicable, and never place credentials in workflow payloads, mappings, or logs.

Webhook protection

For supported AB Tasty notifications, validate documented signatures, shared secrets, or API keys when available. Restrict methods and content types, reject malformed or stale requests, and use event keys to prevent replay processing.

Transport and data minimization

Use HTTPS for API communication and transmit only the AB Tasty fields required by the destination. Apply customer privacy and audience-eligibility rules before forwarding targeting or customer-related attributes.

Operational considerations for AB Tasty integrations

Pagination and rate limits

Collection endpoints may paginate Projects, Campaigns, Variations, Audiences, and Goals. Continue until no pages remain, respect rate-limit responses and headers when provided, and avoid unrestricted parallel calls.

Idempotency and checkpoints

Use stable account, project, campaign, variation, audience, and goal identifiers for upserts. Persist timestamps, cursors, event identifiers, or a bounded lookback checkpoint when the API supports them, and periodically reconcile for late changes.

Lifecycle and schema semantics

Preserve source status, activation state, start date, and end date rather than inferring meaning from a Boolean active flag. Isolate mappings for experimentation, personalization, and feature-management schemas.

Reporting and testing

Do not assume that UI reporting data is available through configuration endpoints. Confirm dimensions, metrics, attribution, and export limits, then test representative projects, lifecycle states, pagination, duplicate notifications, permission failures, and schema changes.

Retries and monitoring

Retry transient HTTP failures with controlled backoff, record correlation identifiers and AB Tasty resource IDs, and route persistent failures to operational review without exposing credentials.

Why use Martini instead of scripts or point-to-point integrations?

Orchestration beyond a script

Martini coordinates scheduled synchronization, webhook intake, API calls, transformations, business rules, destination writes, and exception handling in maintainable workflows rather than scattering logic across scripts.

Reusable integration assets

AB Tasty REST interactions, canonical mappings, validation rules, and destination services can be reused across Projects, Campaigns, analytics deliveries, and governance processes.

Controlled reliability

Martini provides structured handling for pagination, checkpoints, idempotent writes, retries, asynchronous webhook processing, and operational logging. This helps separate vendor API behavior from enterprise transformation and routing logic.

Flexible enterprise integration

Martini can consume AB Tasty APIs, expose controlled APIs, connect to databases and other enterprise endpoints, and extend workflows with custom logic when the integration requires more than straightforward field mapping.

Frequently asked questions

How can AB Tasty be integrated with enterprise systems?

AB Tasty can be integrated primarily through its REST APIs for Accounts, Projects, Campaigns, Variations, Audiences, Goals, and related configuration data. Selected AB Tasty product areas or events also support webhook-style notifications. API credentials, permissions, pagination, rate limits, and reporting availability should be confirmed for the specific account and API version.

Can Martini integrate with AB Tasty?

Yes. Martini can consume AB Tasty REST APIs, receive supported AB Tasty webhook notifications through an exposed API endpoint, map and transform JSON data, orchestrate workflows, and write results to databases, warehouses, analytics platforms, governance applications, or other APIs.

Do I need a connector to integrate AB Tasty with Martini?

No. A dedicated AB Tasty connector is not required. Martini can use AB Tasty’s documented REST APIs and supported webhook notifications through standard HTTP integration patterns, with credentials stored in protected Martini configuration.

Is there any extra Lonti cost to integrate AB Tasty with Martini?

Lonti does not charge an additional per-connector or per-vendor fee to integrate AB Tasty. The integration is subject to the provisioned capacity of the Martini environment. Separate costs may apply from AB Tasty, cloud infrastructure, or other third-party systems depending on subscription, usage, and deployment model.

Which AB Tasty integration methods should architects use?

REST APIs should be treated as the primary documented mechanism for configuration and resource access. Webhook-style notifications are a secondary option for selected events or product areas. No official AB Tasty GraphQL or SOAP API documentation, general-purpose file API, or universal bulk API was confirmed in this research.

Can Martini receive AB Tasty events or webhook notifications?

Yes, Martini can expose an API endpoint and process AB Tasty webhook-style notifications for supported events. Coverage is event-specific rather than universal, so the implementation must confirm event types, payload completeness, authentication or signature verification, delivery guarantees, and retry behavior.

How does synchronization and data mapping work for AB Tasty?

A Martini workflow can retrieve paginated AB Tasty resources on a schedule or enrich a webhook event by retrieving the current object. It maps source identifiers, lifecycle states, dates, targeting data, and ownership fields into a canonical model, applies business rules, and uses idempotent upserts or checkpoints in the destination.

How are AB Tasty errors, retries, and duplicates handled?

Martini can handle authentication and permission failures, invalid identifiers, rate limits, server errors, malformed webhook payloads, and partial multi-project failures through validation, controlled retries, logging, and reconciliation workflows. Stable AB Tasty identifiers and event keys support idempotency, while credentials and sensitive payload data are excluded from logs.

Related Martini documentation

AB Tasty APIs

Events

Workflows

Security

Operations

Connect AB Tasty with your enterprise systems

Use Martini to build secure, maintainable AB Tasty integrations for campaign synchronization, selected event processing, analytics delivery, and project governance.

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