LivePerson + Zendesk
Connect LivePerson and Zendesk to Bring Conversational AI and Customer Support Together
Stop losing context between AI-powered messaging and your helpdesk. Get faster resolutions without the manual handoffs.
Why integrate LivePerson and Zendesk?
LivePerson and Zendesk do different jobs. LivePerson handles proactive, AI-powered conversations across messaging channels. Zendesk manages tickets, agent workflows, and longer support resolutions. When you connect them, every chat, bot interaction, or messaging thread can flow into a Zendesk ticket complete with conversation history, routed to the right team automatically. The context gaps that frustrate agents and customers alike just go away.
Automate & integrate LivePerson & Zendesk
Use case
Automatic Ticket Creation from LivePerson Escalations
When a LivePerson bot or live agent decides a conversation needs formal follow-up, tray.ai creates a Zendesk ticket populated with the full chat transcript, contact details, and intent classification. No escalated conversation gets dropped, and agents have everything they need before they type a single word. The ticket is tagged, prioritized, and routed to the right Zendesk group without anyone touching it manually.
Use case
Real-Time Zendesk Ticket Status Updates Back to LivePerson
After a ticket is created in Zendesk, customers often keep messaging through LivePerson expecting updates. tray.ai watches Zendesk for ticket status changes and pushes updates into the active LivePerson conversation thread, so customers stay informed without agents juggling two platforms at once. Fewer 'any updates?' messages follow.
Use case
Unified Customer Profile Sync Between LivePerson and Zendesk
Contact data created or updated in LivePerson — new customer identifiers, phone numbers, custom attributes — syncs automatically to the matching Zendesk user profile. Both systems stay current, and agents always work from accurate data. tray.ai handles field mapping between the two platforms' different schemas without any custom code.
Use case
Bot Conversation Summaries Attached to Zendesk Tickets
LivePerson's Conversational AI often handles the first part of an interaction before a human takes over. tray.ai pulls structured summaries — identified intent, entities, resolution attempts — from LivePerson and attaches them as internal notes on the Zendesk ticket. Agents know immediately what the bot already tried, what the customer needs, and where to start.
Use case
CSAT and Sentiment Data Flowing into Zendesk Analytics
LivePerson collects sentiment signals and post-conversation CSAT scores during and after messaging interactions. tray.ai pipes this data into Zendesk as custom ticket fields or satisfaction ratings, giving support managers a unified view of customer sentiment across both channels. Reporting gets more meaningful, and coaching opportunities are easier to spot.
Use case
SLA-Triggered Messaging Outreach via LivePerson
When a Zendesk ticket is close to an SLA breach, tray.ai fires a proactive outbound message through LivePerson to notify the customer and set expectations before the deadline is missed. The message is dynamically populated with ticket details, estimated resolution time, and agent name — no manual drafting required.
Use case
Closed Zendesk Ticket Triggers LivePerson Follow-Up Survey
Once a Zendesk ticket is marked solved, tray.ai automatically starts a follow-up conversation in LivePerson to gather feedback and confirm the customer's issue is actually resolved. It's richer than a standard Zendesk satisfaction rating, and customers respond more because it feels like a conversation rather than a form. Responses loop back into Zendesk as ticket comments.
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LivePerson & Zendesk Challenges
What challenges are there when working with LivePerson & Zendesk and how will using Tray.ai help?
Challenge
Schema and Data Model Mismatches Between Platforms
LivePerson and Zendesk organize data differently at a fundamental level. LivePerson works around conversations, skills, and intents. Zendesk structures everything around tickets, organizations, and groups. Mapping fields manually between them is error-prone, and both platforms change often enough that those mappings need constant attention.
How Tray.ai Can Help:
tray.ai's visual data mapper lets teams define precise field-level mappings between LivePerson and Zendesk schemas without writing code. Those mappings are version-controlled and can be updated immediately when either platform changes, so you're not chasing breaking changes across brittle point-to-point integrations.
Challenge
Managing Conversation-to-Ticket Deduplication
Without deduplication logic, a single LivePerson conversation can spawn multiple Zendesk tickets — especially when conversations transfer between agents or retry logic fires duplicate events. The result is a noisy queue and agents unsure which ticket actually represents the customer's issue.
How Tray.ai Can Help:
tray.ai workflows run idempotency checks by storing conversation IDs and looking up existing tickets before creating new ones. Configurable deduplication logic maps repeat LivePerson events to the correct existing Zendesk ticket rather than generating duplicates, keeping queues clean.
Challenge
Handling High-Volume Real-Time Event Streams
LivePerson fires high-frequency webhooks during peak periods — conversation started, message sent, transfer initiated, conversation closed — and keeping Zendesk in sync with all of them reliably requires queue management and error handling that's genuinely hard to build and maintain yourself.
How Tray.ai Can Help:
tray.ai processes LivePerson webhooks asynchronously with built-in retry logic, error alerting, and execution logs. Every event is visible, transient failures retry automatically, and events that need manual review go to a dead-letter queue — without any infrastructure management on your end.
Challenge
Authentication and Credential Management Across Both APIs
LivePerson uses a multi-domain authentication model with account-specific API base URLs and OAuth 2.0 bearer tokens. Zendesk uses subdomain-based endpoints with API key or OAuth credentials. Managing these credentials securely and rotating them across integrated workflows adds up to real operational overhead.
How Tray.ai Can Help:
tray.ai's centralized credential store manages authentication for both LivePerson and Zendesk, handling token refresh automatically. Credentials are encrypted at rest, scoped by connector, and updated in one place across every workflow that uses them — no hard-coded secrets, simpler rotation.
Challenge
Preserving Rich Conversation Context During Escalation
The whole point of connecting LivePerson and Zendesk is getting structured context — bot intents, detected entities, conversation tags, engagement history — through the escalation intact. Naive integrations pass raw text and lose the metadata that actually makes agent handoffs useful.
How Tray.ai Can Help:
tray.ai workflows extract and transform the full structured payload from LivePerson's Conversations API — intent classifications, entity extractions, skill routing history, custom engagement attributes — and map each field to the right Zendesk ticket field, custom attribute, or internal note. Agents get actionable context, not a wall of raw text.
Start using our pre-built LivePerson & Zendesk templates today
Start from scratch or use one of our pre-built LivePerson & Zendesk templates to quickly solve your most common use cases.
LivePerson & Zendesk Templates
Find pre-built LivePerson & Zendesk solutions for common use cases
Template
LivePerson Escalation to Zendesk Ticket with Full Transcript
Automatically creates a Zendesk support ticket whenever a LivePerson conversation is escalated, attaching the full chat transcript, customer identifiers, and bot-detected intent as ticket fields and internal notes.
Steps:
- Trigger on LivePerson conversation escalation or transfer-to-agent event
- Extract conversation transcript, contact data, intent tags, and CSAT signals from LivePerson API
- Create a new Zendesk ticket with mapped fields, attach transcript as internal note, and route to the appropriate group based on intent
Connectors Used: LivePerson, Zendesk
Template
Zendesk Ticket Status Change Notification in LivePerson
Watches Zendesk tickets for status changes and sends an automated message to the customer in the matching LivePerson conversation thread to keep them informed in real time.
Steps:
- Trigger on Zendesk ticket status update webhook
- Look up the associated LivePerson conversation ID from the ticket's custom fields
- Send a templated status update message to the customer via LivePerson messaging API
Connectors Used: Zendesk, LivePerson
Template
Bidirectional Customer Profile Sync: LivePerson and Zendesk
Keeps customer contact records in sync between LivePerson and Zendesk by detecting new or updated user profiles in either system and pushing changes to the other, with conflict resolution logic for field-level discrepancies.
Steps:
- Trigger on new or updated user record in LivePerson or Zendesk
- Apply field mapping transformation to normalize schema differences between platforms
- Upsert the corresponding record in the target system, logging any conflict overrides
Connectors Used: LivePerson, Zendesk
Template
Zendesk SLA Breach Alert via LivePerson Proactive Messaging
Watches Zendesk ticket SLA policies and fires a proactive outbound LivePerson message to the customer when a ticket is within a configurable threshold of a breach, with a status update and estimated resolution time.
Steps:
- Poll Zendesk for tickets approaching SLA breach threshold on a scheduled interval
- Retrieve ticket details including assignee, priority, and estimated resolution data
- Send a dynamically generated proactive outbound message via LivePerson to the customer's registered messaging channel
Connectors Used: Zendesk, LivePerson
Template
Post-Resolution LivePerson Survey Triggered by Zendesk Ticket Closure
When a Zendesk ticket moves to solved, automatically starts a follow-up survey conversation in LivePerson and writes responses back to the Zendesk ticket as comments.
Steps:
- Trigger on Zendesk ticket status change to 'Solved'
- Initiate a pre-built LivePerson bot survey flow for the associated customer
- Capture survey responses via LivePerson webhook and append them as internal comments on the original Zendesk ticket
Connectors Used: Zendesk, LivePerson
Template
LivePerson CSAT and Sentiment Score Sync to Zendesk
Pulls post-conversation CSAT ratings and sentiment scores from LivePerson and writes them to custom fields on the matching Zendesk ticket, so satisfaction reporting works across both platforms in one place.
Steps:
- Trigger on LivePerson conversation closed event with CSAT or sentiment data available
- Match the LivePerson conversation to a Zendesk ticket using a shared customer identifier or conversation reference
- Update Zendesk ticket custom fields with CSAT score, sentiment label, and conversation duration metrics
Connectors Used: LivePerson, Zendesk