Helpdesk migration
Field-level mapping, validation, and rollback between Heyday AI and Freshdesk. We move data and schema; workflows are rebuilt natively in Freshdesk.
Heyday AI
Source
Freshdesk
Destination
Compatibility
4 of 8
objects map 1:1 between Heyday AI and Freshdesk.
Complexity
CModerate
Timeline
2-4 weeks
Overview
Moving from Heyday AI to Freshdesk is a structural shift from a retail chatbot-first model to a full helpdesk ticketing platform. Heyday holds Conversations, Customers, Products, and Orders primarily as references pulled from e-commerce integrations rather than as native stored records, while Freshdesk operates a structured Tickets, Contacts, Companies, and Agents model with optional Custom Objects for order data. Heyday does not publish a standalone API, which means migration data must be extracted manually from the Heyday admin UI or with direct Hootsuite backend assistance, then pushed into Freshdesk via its documented REST API and bulk CSV import. We handle the extraction gap by sequencing a manual export phase first, transforming conversation threads into Freshdesk ticket format, mapping Heyday customer profiles to Freshdesk Contacts, and resolving agent identities against Freshdesk Agents. Automation rules, FAQ flows, and bot training data do not export and are documented for rebuild in Freshdesk's automation builder. The migration scope is bounded to records and engagement history; we do not migrate Heyday's integrations as live connections, but we deliver an integration inventory specifying their Freshdesk equivalents.
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 Freshdesk, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Heyday AI
Conversation
Freshdesk
Ticket
lossyHeyday conversation threads map to Freshdesk Ticket records with the conversation thread reconstructed as Ticket Description and threaded Replies. Heyday stores conversation messages with timestamps, sender role (customer or agent), and channel metadata. We transform this into Freshdesk's Ticket format using the conversation_start_timestamp as Ticket created_at, the last message timestamp as Ticket updated_at, and the channel value (chat, social, email) mapped to Freshdesk's type field. Conversation tags from Heyday migrate as Freshdesk Tags. Where Heyday conversation threads reference specific Products or Orders, those references are preserved as text in the Ticket description and optionally pulled into Freshdesk Custom Objects if the customer configures them.
Heyday AI
Customer
Freshdesk
Contact
1:1Heyday customer profiles (name, email, phone, e-commerce platform ID) map directly to Freshdesk Contact records. We use email as the primary dedupe key during import. Heyday-specific custom properties built inside Heyday's customer schema are mapped to Freshdesk Contact custom fields if those fields are pre-created in Freshdesk; if not, they are noted in the migration handoff as fields requiring admin configuration before a follow-on sync. Heyday customer profiles sourced from connected e-commerce platforms (Shopify, Magento) are identified by their external_id field and mapped to the Freshdesk Contact's unique ID for downstream reference.
Heyday AI
Customer
Freshdesk
Company
1:1Heyday customer records that include a company or brand affiliation map to Freshdesk Company records. We map the company name from Heyday to Freshdesk Company name, and resolve the Contact-to-Company relationship during import using Heyday's customer_company_id or equivalent field. Freshdesk requires at least 10 Tickets in the account before importing Contacts via CSV, so we validate this prerequisite is met before running the bulk import phase.
Heyday AI
Agent Profile
Freshdesk
Agent
1:1Heyday agent accounts (human agents assigned to conversations) map to Freshdesk Agent records. We extract agent identities from Heyday's admin UI or Hootsuite backend access where available, matching by email address to the Freshdesk Agent. Agent role and permission sets from Heyday (admin, agent, viewer) are mapped to Freshdesk's Agent Groups and Roles configuration. Any Heyday-specific roles that have no Freshdesk equivalent are documented in the handoff for manual role assignment post-migration.
Heyday AI
Product
Freshdesk
Product or Custom Object
lossyHeyday pulls product data from connected e-commerce platform integrations rather than storing products natively. During migration we identify which Products are referenced in conversation threads and extract the product name, SKU, and price where present. These are mapped to Freshdesk Products if the customer is on a Freshdesk plan that includes the Product Catalog feature, or to Freshdesk Custom Objects (configured as Products) on the Products object if the customer prefers a flexible schema. Product references in ticket descriptions are preserved as plain text regardless of whether a formal product record exists in Freshdesk.
Heyday AI
Order
Freshdesk
Custom Object (Orders)
lossyHeyday does not hold order data natively — order tracking queries pull from connected e-commerce platforms. We extract order references appearing in conversation threads (order ID, status, line items, amounts) and map them to Freshdesk Custom Objects configured as Orders, with fields for Order ID, Status, Customer (lookup to Contact), Total Amount, and Currency. Freshdesk's Custom Object documentation shows this as a supported pattern for e-commerce order tracking linked to Tickets and Contacts. We pre-create the Custom Object schema before migration so that order references can be linked via lookup fields during the import phase.
Heyday AI
Tag and Label
Freshdesk
Tag
1:1Heyday's conversation tagging schema (labels applied to conversations for categorization, intent tracking, or routing) maps to Freshdesk Tags. We extract the full set of unique tag values from Heyday conversation exports, map each tag name directly to a Freshdesk Tag, and apply them to the corresponding Ticket records during migration. Freshdesk Tags are applied per-Ticket rather than globally, matching Heyday's per-conversation tagging model. Note that Freshdesk does not currently support exporting tags by contact filter, so tag migration is applied at the Ticket level only.
Heyday AI
Integration connector
Freshdesk
Freshdesk App or API integration
lossyHeyday connects to 20-plus apps including Shopify, Magento, Facebook Messenger, Instagram, and WhatsApp. During migration we identify which integration connectors are active in Heyday and document each with its equivalent in Freshdesk's app ecosystem or API capability. Freshdesk's App Marketplace lists integrations for Shopify, Magento, WhatsApp, and major social channels. We do not migrate integrations as live connections; we deliver an integration inventory specifying the Freshdesk App or webhook configuration required to recreate each active Heyday integration post-migration.
| Heyday AI | Freshdesk | Compatibility | |
|---|---|---|---|
| Conversation | Ticketlossy | Fully supported | |
| Customer | Contact1:1 | Fully supported | |
| Customer | Company1:1 | Fully supported | |
| Agent Profile | Agent1:1 | Fully supported | |
| Product | Product or Custom Objectlossy | Fully supported | |
| Order | Custom Object (Orders)lossy | Fully supported | |
| Tag and Label | Tag1:1 | Fully supported | |
| Integration connector | Freshdesk App or API integrationlossy | 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
Freshdesk gotchas
API access is blocked on the free plan
Per-minute rate limits are account-wide and endpoint-specific
Multi-channel source types do not map 1:1 to all destinations
Custom objects created in-product cannot be accessed by other apps
Contact import requires at least 10 existing tickets in the account
Pair-specific challenges
Migration approach
Discovery and export readiness assessment
We audit the Heyday AI instance via admin UI access, identify active integrations, extract sample conversation exports, and enumerate customer profiles and agent accounts. We pair this with a Freshdesk readiness check: verify the target Freshdesk plan (Growth, Pro, or Enterprise), confirm the Custom Objects feature is enabled if order data migration is in scope, and validate the minimum 10-tickets prerequisite for CSV Contact import. The discovery output is a written migration scope specifying what exports are available, what must be manually extracted, and the target Freshdesk schema including any Custom Object fields to pre-create.
Manual export and source data extraction
Because Heyday has no documented API, we coordinate with the customer's Heyday admin to extract data manually. This includes: conversation thread exports from the admin UI, customer profile exports from connected e-commerce platforms (Shopify, Magento), agent account lists from Hootsuite admin, and any available FAQ or automation rule screenshots for documentation purposes. We request a schema overview from Hootsuite support if accessible. This phase typically takes three to five business days depending on how quickly Heyday/Hootsuite responds to data export requests.
Freshdesk schema preparation and Custom Object configuration
We configure Freshdesk's destination schema before any data is loaded. This includes: creating Freshdesk Contact custom fields to match Heyday customer properties, configuring Custom Objects for Products and Orders (if applicable), setting up Freshdesk Agent Groups and Roles to match Heyday agent roles, and defining Freshdesk Tags taxonomy to match Heyday's tagging conventions. We also configure Freshdesk Ticket Fields (status, priority, type, requester, group, agent) to align with the conversation metadata being migrated. Schema is validated in a Freshdesk test environment before production migration begins.
Data transformation and reconciliation against source
We transform the manually extracted Heyday data into Freshdesk-compatible formats. Conversations become Tickets with threaded Replies; customer profiles become Contacts linked to Companies; agent references become Agent records. We run a reconciliation pass comparing transformed record counts against the original Heyday export counts, and spot-check 20-30 random tickets against the source conversation logs to verify message ordering, timestamps, and tagging are preserved. Any gaps in the source export (missing messages, truncated threads) are flagged and reported before production load.
Production migration via Freshdesk REST API and CSV import
We load data into Freshdesk in dependency order: Agents first (manual provisioning verified), then Companies, then Contacts, then Tickets (using Freshdesk's bulk CSV import or REST API depending on volume), then Custom Objects (Products, Orders) with lookup relationships resolved. For large ticket volumes we use Freshdesk's admin-level data export bypass for retrieval and REST API for load, with batch chunking and exponential backoff on rate limit responses. Each phase emits a row-count reconciliation report. Tags are applied per-Ticket in a final pass after all Tickets are loaded.
Cutover, validation, and integration handoff
We freeze Heyday write access during cutover, run a final delta migration of any records modified during the migration window, then enable Freshdesk as the system of record. We deliver the automation and bot logic documentation to the customer's Freshdesk admin for rebuild in Freshdesk Automations and Freddy AI Agent. We deliver the integration inventory specifying the Freshdesk App or API webhook configuration required to recreate each active Heyday integration. We support a three-day hypercare window where we resolve any reconciliation issues. We do not rebuild Heyday automations as Freshdesk automations inside migration scope.
Platform deep dives
Heyday AI
Source
Strengths
Weaknesses
Freshdesk
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 Freshdesk.
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
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FAQ
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