Helpdesk migration
Field-level mapping, validation, and rollback between Heyday AI and Zoho Desk. We move data and schema; workflows are rebuilt natively in Zoho Desk.
Heyday AI
Source
Zoho Desk
Destination
Compatibility
4 of 12
objects map 1:1 between Heyday AI and Zoho Desk.
Complexity
CModerate
Timeline
2-4 weeks
Overview
Moving from Heyday AI to Zoho Desk is a structural migration from a retail chatbot platform with no standalone public API into a mature multi-channel help desk with a documented REST API and a native CSV import tool. Heyday AI holds customer profiles synced from e-commerce integrations, conversation threads built by an AI chatbot, and agent accounts managed through Hootsuite. Zoho Desk receives these as Contacts, Accounts, Tickets with Threads, and Agents respectively. The critical complexity on the Heyday side is that no documented export API exists; conversation history, automation rules, and bot training data require manual extraction via the Hootsuite admin interface or direct vendor assistance. We handle that extraction process in the discovery phase, prepare data in the Zoho Desk assisted migration CSV format (Agents_XX.csv, Accounts_XX.csv, Contacts_XX.csv, Tickets_XX.csv), and import in dependency order. FAQ automation flows, keyword triggers, and routing logic built inside Heyday's conversational flow builder do not migrate; we deliver a written specification of every observed automation for the customer's admin to rebuild in Zoho Desk Blueprint or Macros. Reports, dashboards, and SLAs similarly require manual reconfiguration in Zoho Desk's Setup.
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 Zoho Desk, 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
Zoho Desk
Ticket + Ticket Thread + Ticket Comment
1:manyConversation threads in Heyday map to Zoho Desk Tickets with message history in Thread and Comment records. Since Heyday has no documented export API, we extract conversation data via Hootsuite admin backend access or manual admin UI export where available. Each distinct conversation becomes a Ticket with the originating customer's email as the requester, agent assignment resolved by the original assigned agent email, and message timestamps preserved in Thread records. Subject line maps from Heyday's conversation title or first message excerpt. Tags migrate as Zoho Desk Tags. This extraction step is the highest-risk part of the migration and may require Hootsuite vendor assistance if the admin UI export does not include full message body content.
Heyday AI
Customers
Zoho Desk
Contact + Account
1:manyHeyday Customer profiles may contain both individual shopper data and organisational data from e-commerce integration. We split at migration time: individual profiles with a single email and no company affiliation map to Zoho Desk Contact. Profiles with a company name or domain map to Zoho Desk Account first, then Contact linked to that Account via AccountId. Custom customer properties built inside Heyday (such as loyalty tier, preferred language, or acquisition channel) migrate to Zoho Desk custom Contact fields that we create before import. Heyday customer identifiers are stored as ContactExtId in Zoho Desk for dedupe validation on subsequent delta imports.
Heyday AI
Products
Zoho Desk
Product
1:1Product records synced into Heyday from connected e-commerce platforms map to Zoho Desk Product. We extract product name, SKU (stored in product_code), description, and unit price. The Zoho Desk Product module stores these for linking to Tickets and Accounts, but Zoho Desk does not natively manage inventory; inventory tracking depends on the connected e-commerce platform post-migration. Product records are imported before Tickets so that the product reference on ticket line items is satisfied.
Heyday AI
Orders
Zoho Desk
Custom Field on Ticket or Contact
lossyOrder data does not live natively inside Heyday; it is referenced from connected e-commerce platforms during chatbot interactions. We preserve order reference numbers (order ID, order date, order total) as custom fields on the relevant Zoho Desk Contact or Ticket record, depending on where the customer reference is most contextually relevant. We do not migrate full order records into Zoho Desk; the e-commerce platform remains the system of record for order data post-migration.
Heyday AI
Automation Rules
Zoho Desk
Blueprint + Macro (rebuild required)
lossyHeyday FAQ automation flows, keyword triggers, and routing logic are configured inside the Heyday conversational flow builder and are not exposed as data that can be exported. This object cannot be migrated. We perform live observation of the customer's Heyday automation during the discovery phase and document every observed trigger, keyword, condition, and routing action as a written specification. The customer uses this specification to rebuild equivalent Zoho Desk Blueprint flows and Macros post-migration. We do not rebuild these as code inside the migration scope.
Heyday AI
Agent Profiles
Zoho Desk
Agent (User)
1:1Human agent accounts and their assignment rules in Heyday are managed through Hootsuite admin. We extract agent identities (name, email, department, role) via Hootsuite admin APIs where accessible, or via manual admin export. Each agent maps to a Zoho Desk Agent record by email match. Zoho Desk requires a unique email per agent. Any Heyday agent without a corresponding Zoho Desk user account is placed in a reconciliation queue for the customer's admin to provision before record migration begins. Department and role data maps to Zoho Desk Departments and Role-based ticket assignment rules.
Heyday AI
Tags and Labels
Zoho Desk
Tag + Custom Field
lossyConversation tagging schemas in Heyday vary by customer implementation. We extract all observed tag names, label values, and hierarchical groupings used on conversations and customers and map them to Zoho Desk Tags. Tags that represent structured categorical data (such as customer segment, issue type, or channel source) may be better represented as Zoho Desk custom picklist fields rather than free-form Tags; the customer chooses the strategy during scoping. Tag names are preserved as-is on import to avoid losing categorisation context.
Heyday AI
Integrations
Zoho Desk
Connector / Integration documentation
1:1Heyday connects to 20 or more apps including Shopify, WooCommerce, Magento, Facebook Messenger, Instagram, and WhatsApp. During discovery we identify every active integration and document its equivalent in Zoho Desk. Zoho Desk has its own connector marketplace covering CRM, e-commerce, and communication channels. We produce a written integration parity map showing which Heyday integrations have a native or marketplace Zoho Desk equivalent, which require a third-party integration tool (such as Zapier or Make), and which have no Zoho Desk equivalent and require a process change. We do not configure the integrations themselves; that is a separate implementation task.
Heyday AI
Bot Training Data and FAQ Responses
Zoho Desk
Knowledge Base Article (rebuild required)
lossyBot responses and FAQ content configured inside Heyday's conversational flow builder do not exist as exportable data records. We cannot migrate them as structured content. During discovery we document the FAQ topics, question variants, and response content observed in Heyday's automation flows. This documentation serves as the source material for the customer to create Zoho Desk Knowledge Base articles and to configure Zia (Zoho Desk's AI assistant) with equivalent response logic. The Knowledge Base module in Zoho Desk is the direct functional replacement for Heyday's FAQ automation content.
Heyday AI
Departments
Zoho Desk
Department
1:1If Heyday agent accounts are organised into departments or teams via Hootsuite, those department structures map to Zoho Desk Departments. We create the department hierarchy in Zoho Desk before agent records are imported so that agents are assigned to departments at the time of account creation. Ticket routing rules in Zoho Desk reference departments, so the department structure must be in place before ticket import begins.
Heyday AI
SLA Configuration
Zoho Desk
SLA Policy
lossyHeyday does not expose SLA configuration as a data object based on public documentation. If the customer has configured response time or resolution time expectations in Heyday (via Hootsuite orHeyday admin settings), we document those settings during discovery. Zoho Desk SLA Policies are created post-migration using the documented thresholds as the source specification. SLA creation is a Zoho Desk configuration task, not a data migration task.
Heyday AI
Reports and Dashboards
Zoho Desk
Report + Dashboard (rebuild required)
lossyHeyday's reporting covers FAQ automation rates, deflection rates, and conversation volume by channel. These reports are platform-native and cannot be exported. We deliver a written inventory of every active Heyday report with its metric definitions, date ranges, and filters as a specification for the customer to rebuild in Zoho Desk using its native reporting module. Zoho Desk Professional and above include custom report builders; Enterprise adds advanced analytics. We do not rebuild reports as part of the migration scope.
| Heyday AI | Zoho Desk | Compatibility | |
|---|---|---|---|
| Conversations | Ticket + Ticket Thread + Ticket Comment1:many | Not supported | |
| Customers | Contact + Account1:many | Mapping required | |
| Products | Product1:1 | Mapping required | |
| Orders | Custom Field on Ticket or Contactlossy | Mapping required | |
| Automation Rules | Blueprint + Macro (rebuild required)lossy | Not supported | |
| Agent Profiles | Agent (User)1:1 | Mapping required | |
| Tags and Labels | Tag + Custom Fieldlossy | Mapping required | |
| Integrations | Connector / Integration documentation1:1 | Mapping required | |
| Bot Training Data and FAQ Responses | Knowledge Base Article (rebuild required)lossy | Fully supported | |
| Departments | Department1:1 | Fully supported | |
| SLA Configuration | SLA Policylossy | Fully supported | |
| Reports and Dashboards | Report + Dashboard (rebuild required)lossy | 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
Zoho Desk gotchas
Agent email identity determines comment ownership after migration
Blueprints and SLA policies do not export via API
File upload capped at 10GB per migration batch
Tier-gated export and migration capabilities
Inbound migration is two-phase with a hard Phase 2 cutoff
Pair-specific challenges
Migration approach
Discovery and data extraction planning
We audit the Heyday and Hootsuite admin interface to identify all exportable data: customer profiles, conversation threads, agent accounts, departments, tags, and product references. Because Heyday has no documented standalone API, we assess what Hootsuite admin APIs are accessible for the customer's account and what manual admin UI exports are available. We produce a written data inventory listing every object we can extract, the extraction method (API, admin export, manual), and the estimated extraction time. This step establishes the realistic migration scope before any Zoho Desk configuration begins.
Zoho Desk schema setup
We configure the destination Zoho Desk account ahead of data import. This includes creating any custom fields on Contacts and Tickets to receive Heyday-specific properties (loyalty tier, acquisition channel, conversation source channel), setting up the department hierarchy matching the Heyday agent organisation, configuring ticket status values that map from Heyday conversation states (open, resolved, escalated), and creating Tags to receive Heyday's tagging conventions. We also configure SLAs using documented thresholds from Heyday if available. All schema work is performed in the customer's live Zoho Desk environment with a pre-migration backup taken before any data is inserted.
Manual data extraction from Heyday
We execute the data extraction plan from Step 1, working with the customer's Hootsuite admin to pull conversation history, customer profiles, agent records, and product references. If Heyday's admin UI does not support bulk export, we request Hootsuite vendor assistance or perform manual logging of conversation data. This phase is the most variable in duration across migrations; small accounts with accessible admin exports complete in days, while accounts requiring vendor assistance may take two to three weeks. We communicate extraction progress against the project baseline at each working session.
Data transformation and CSV preparation
We transform the extracted Heyday data into Zoho Desk CSV format using the assisted migration specification: Agents_XX.csv (agentExtId, Last Name, First Name, Email), Accounts_XX.csv (AccountExtId, Account Name, Website, Phone), Contacts_XX.csv (ContactExtId, Last Name, Email, AccountExtId, mobile phone fields), Tickets_XX.csv (TicketExtId, Subject, ContactExtId, agentExtId, status, priority, created time), and Threads_XX.csv (linked to tickets by ticketExtId). We apply the subject normalisation rule for conversations without meaningful titles, resolve Heyday agent emails to Zoho Desk agentExtId values, and flag any records with missing required fields for customer-side resolution before import.
Zoho Desk import in dependency order
We import data into Zoho Desk in strict dependency order: Departments first, then Agents (since tickets reference agents), then Accounts (since contacts reference accounts), then Contacts (with AccountId resolved), then Products, then Tickets (with ContactExtId and agentExtId resolved), then Threads and Ticket Comments. Each phase emits a row-count reconciliation report showing records inserted versus records expected. Any records rejected due to validation errors are corrected in the source CSV and re-imported in the same phase before moving to the next. We apply API rate-limit backoff on Zoho Desk API calls throughout to avoid throttling.
Automation rebuild handoff and cutover
We deliver a written Automation Inventory and Rebuild Specification covering every Heyday FAQ automation flow, keyword trigger, routing rule, and bot response topic observed during discovery, with a Zoho Desk Blueprint or Macro equivalent for each. We deliver a Knowledge Base Article specification derived from Heyday's bot response content. We deliver a Reports Inventory with the metric definitions from Heyday's native analytics for the customer to rebuild in Zoho Desk reporting. We perform a final cutover by disabling Heyday's live routing, running a delta migration of any records modified during the migration window, then confirming Zoho Desk as the active system of record. We support a one-week post-cutover reconciliation window for the customer to raise any data issues before migration close.
Platform deep dives
Heyday AI
Source
Strengths
Weaknesses
Zoho Desk
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 Zoho Desk.
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
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