Helpdesk migration
Field-level mapping, validation, and rollback between Heyday AI and Zendesk. We move data and schema; workflows are rebuilt natively in Zendesk.
Heyday AI
Source
Zendesk
Destination
Compatibility
6 of 10
objects map 1:1 between Heyday AI and Zendesk.
Complexity
CModerate
Timeline
1-3 weeks
Overview
Moving from Heyday AI to Zendesk is a migration from a retail-focused conversational AI chatbot platform to an enterprise helpdesk with full ticketing, SLA management, and knowledge-base infrastructure. Heyday AI does not publish a standalone public API, which means conversation history, automation rules, and bot training data require manual extraction from the Hootsuite admin interface or direct vendor assistance before any data can move. We scope the extraction method during discovery, build a custom field map against whatever schema is visible in the customer instance, and convert Heyday conversations to Zendesk Tickets with channel metadata preserved. We do not migrate FAQ automation flows, keyword triggers, or routing logic as code; we deliver a written specification of every observed automation for the customer's admin to rebuild in Zendesk. Historical conversation threads migrate where exportable; any gaps are documented explicitly rather than silently dropped.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Heyday AI object lands in Zendesk, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Heyday AI
Conversations
Zendesk
Ticket
1:1Heyday conversation threads map to Zendesk Tickets. Each Zendesk Ticket captures the conversation subject, description (first message), requester (customer), assignee (agent), status, priority, tags, and channel metadata. The channel field on the Zendesk Ticket reflects the original source channel (web chat, Facebook Messenger, Instagram, WhatsApp) pulled from Heyday's conversation metadata. Timestamps on Zendesk Comments preserve the original message timestamps from Heyday for full conversation timeline fidelity.
Heyday AI
Conversations
Zendesk
Comment
1:manyIndividual messages within a Heyday conversation thread map to Zendesk Comments on the corresponding Ticket. We preserve the sender role (customer, agent, bot) using the Comment author field, and internal notes in Heyday map to Zendesk internal Comments. Any bot-generated auto-responses are flagged with a system-generated author note for the customer's admin to review. Message attachments migrate as Zendesk Ticket Attachments linked to the Comment.
Heyday AI
Customers
Zendesk
End User
1:1Heyday customer profiles (pulled from connected e-commerce platforms or created during chat) map to Zendesk End Users. We map the customer's name, email, phone, and any custom properties stored in Heyday to Zendesk user fields or custom user fields. Heyday-specific customer identifiers are preserved in a custom field heyday_customer_id__c for audit. If a customer appears across multiple Heyday conversations, we deduplicate by email at migration time to produce a single Zendesk End User record.
Heyday AI
Products
Zendesk
Product
1:1Heyday product catalogue data (synced from connected e-commerce platforms) maps to Zendesk Article or Custom Object depending on the customer's use case. If the migration includes a product reference workflow where agents look up product information during support conversations, we map product records to a Zendesk Custom Object called Product_Reference__c with fields for name, SKU, category, and any pricing or inventory attributes carried in Heyday. The customer selects the preferred schema during scoping.
Heyday AI
Orders
Zendesk
Custom Object (Order_Reference__c)
1:1Heyday order tracking queries rely on e-commerce platform integrations rather than holding order data natively. We extract any order references surfaced in Heyday conversation metadata (order ID, status, product items, customer reference) and map them to a Zendesk Custom Object called Order_Reference__c. This object links to the Zendesk End User via a lookup relationship and stores order ID, status, total, and date. Native order management remains in the e-commerce platform; we preserve the reference context for agent visibility inside Zendesk tickets.
Heyday AI
Agent Profiles
Zendesk
Agent (User)
1:1Heyday human agent accounts and assignment rules map to Zendesk Agent User records. We resolve agents by email match against the Zendesk destination. Any Heyday-specific role (bot operator, social manager, escalation tier) is preserved in a custom user field heyday_role__c. Agent group assignments in Heyday map to Zendesk Groups, and individual ticket assignments map to Zendesk Agent assignments at the Ticket level. Inactive Heyday agents are migrated as inactive Zendesk Users for historical record integrity.
Heyday AI
Tags and Labels
Zendesk
Tag
1:1Heyday conversation tagging schemas vary by implementation and may include channel tags, topic tags, sentiment flags, or custom internal labels. We extract all tags applied to conversations during the migration window and map them to Zendesk Tags on the corresponding Tickets. Tag naming conventions are preserved as-is; tag hierarchies in Heyday (if any) are flattened to a flat tag namespace in Zendesk. We document the complete tag taxonomy during discovery so the customer can reorganize if needed.
Heyday AI
Bot Trained FAQ Content
Zendesk
Zendesk Guide Article
lossyHeyday FAQ automation flows contain trained question-and-answer pairs that are not exposed as exportable data. We perform a discovery walkthrough of the Heyday bot configuration, document every observed FAQ intent and its corresponding answer, and produce a written handoff specification for the customer's admin to recreate in Zendesk Guide as Articles and in Zendesk AI Agents as Answer intents. The specification includes the original question phrasings, answer text, and any conditional routing rules observed.
Heyday AI
Integrations
Zendesk
Configuration Documentation
lossyHeyday connects to 20-plus external platforms including Shopify, WooCommerce, Magento, Facebook, Instagram, and WhatsApp. We audit all active integrations during discovery and document each connection's purpose, data flow direction, and Zendesk equivalent. For e-commerce integrations (Shopify, WooCommerce), we recommend reconnecting via Zendesk's native apps or the Zendesk Shopify integration. Social integrations require reconfiguration in Hootsuite post-migration if Hootsuite remains in use. We do not migrate integrations as live connections; we deliver a connection map for the customer's IT team to rebuild.
Heyday AI
Conversation Metadata
Zendesk
Ticket Custom Fields
lossyHeyday conversation threads carry metadata beyond the message text, including conversation source channel, customer locale, bot vs. human routing outcome, and any custom fields configured inside Heyday's admin. We map these to Zendesk Ticket custom_fields with matching data types (text, dropdown, checkbox, date). Custom field creation in Zendesk is done via the Admin API before migration begins. Any Heyday custom fields that cannot be mapped to a typed Zendesk field are stored as a private internal Comment on the Ticket for manual review.
| Heyday AI | Zendesk | Compatibility | |
|---|---|---|---|
| Conversations | Ticket1:1 | Not supported | |
| Conversations | Comment1:many | Not supported | |
| Customers | End User1:1 | Mapping required | |
| Products | Product1:1 | Mapping required | |
| Orders | Custom Object (Order_Reference__c)1:1 | Mapping required | |
| Agent Profiles | Agent (User)1:1 | Mapping required | |
| Tags and Labels | Tag1:1 | Mapping required | |
| Bot Trained FAQ Content | Zendesk Guide Articlelossy | Fully supported | |
| Integrations | Configuration Documentationlossy | Mapping required | |
| Conversation Metadata | Ticket Custom Fieldslossy | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Heyday AI gotchas
No documented public API for data export
Pricing requires sales consultation
Automation rules and bot logic do not export
Limited public documentation on schema
Zendesk gotchas
Data export requires API scripting on non-Enterprise plans
Automations cap at 500 active rules and 1,000 tickets per hour
Help Center has no native export feature
Custom Objects and full data export are Enterprise-only
Pair-specific challenges
Migration approach
Discovery and extraction method scoping
We audit the Heyday instance via Hootsuite admin access where available, document active integrations, conversation volume, customer count, agent count, and tagging conventions. We assess whether the customer's contract with Hootsuite provides API access or whether data must be extracted manually from the admin UI. We also confirm the Zendesk destination edition and plan the custom field schema before any data moves. The discovery output is a written migration scope document specifying what migrates, what requires vendor assistance, and what requires admin rebuild documentation.
Zendesk environment preparation
We configure the Zendesk destination environment before migration begins. This includes provisioning custom fields (with types matched to Heyday's data), setting up Groups and agent Roles, creating Tags taxonomy based on Heyday's tagging conventions, and disabling triggers and automations to prevent notification spam during import. If the customer uses Zendesk Guide, we also prepare the article section hierarchy based on the bot FAQ content documented during discovery. The environment is validated in a Zendesk Sandbox or staging subdomain before production migration begins.
Customer and agent data extraction and mapping
We extract customer profiles and agent accounts from Heyday (via Hootsuite admin API where available, or via admin UI export) and map them to Zendesk End Users and Agent Users respectively. We deduplicate customers by email, preserve Heyday-specific identifiers in custom fields, and resolve agent email matches against the Zendesk User table. Any unmapped custom fields are stored as private comments on the first ticket created for each customer.
Conversation-to-ticket migration
We convert Heyday conversation threads to Zendesk Tickets in dependency order: End Users first, then Tickets with Comments. The Zendesk Ticket captures conversation metadata (channel, timestamps, requester, assignee, status, priority, tags) and each individual message becomes a Zendesk Comment. Internal notes in Heyday map to internal Comments in Zendesk. We use the Zendesk REST API with batch chunking and rate-limit handling to maintain data integrity at scale. Any records rejected due to validation rules or required field constraints are logged and retried after schema correction.
Bot FAQ content documentation and knowledge base handoff
We perform a discovery walkthrough of Heyday's bot configuration, documenting every observed FAQ intent, answer text, and routing rule. This is delivered as a written specification that the customer's admin uses to recreate the FAQ knowledge base in Zendesk Guide and to configure Zendesk AI Agents with the equivalent intents. We do not migrate the bot training data as code; the rebuild specification is the handoff artifact.
Cutover, validation, and rebuild handoff
We freeze Heyday writes during cutover, run a final delta migration of any conversations created or updated during the migration window, then switch Zendesk to active. We deliver a reconciliation report comparing source and destination record counts, a sample record validation against the source, and the bot FAQ rebuild specification. We provide a one-week hypercare window for the customer to report any data discrepancies. We do not rebuild Zendesk triggers, automations, or macros as part of the migration scope; those are documented separately for the customer's admin to configure.
Platform deep dives
Heyday AI
Source
Strengths
Weaknesses
Zendesk
Destination
Strengths
Weaknesses
Complexity grading
Moderate Helpdesk migration. 1 of 7 objects need a manual workaround.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Heyday AI and Zendesk.
Object compatibility
1 of 7 objects need a manual workaround.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
Heyday AI: Not publicly documented.
Data volume sensitivity
Heyday AI doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
Answers to the questions buyers ask most during Heyday AI to Zendesk migration scoping. Not seeing yours? Book a call.
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