Helpdesk migration

Migrate from monday service to Gorgias

Field-level mapping, validation, and rollback between monday service and Gorgias. We move data and schema; workflows are rebuilt natively in Gorgias.

monday service logo

monday service

Source

Gorgias

Destination

Gorgias logo

Compatibility

77%

10 of 13

objects map 1:1 between monday service and Gorgias.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

The monday service to Gorgias migration is fundamentally a schema translation, not a direct record copy. monday service surfaces support tickets as Items on Boards, with Customers stored as Items on a separate Customer Board, Conversations stored as Updates or sub-items, and SLA targets encoded in custom date columns or automation rules. Gorgias uses a native ticket-centric data model with a unified Customer object, threaded replies attached to tickets, and SLA Policies as a first-class feature. We audit the monday account's board structure during discovery, enumerate every board and custom column, define the Item-to-Ticket mapping rules, resolve agent email lookups, and extract conversation chronology from Updates before any write to Gorgias. Automations, portal configurations, and third-party integrations (Salesforce, Jira, Shopify if configured via monday.com integrations) do not migrate; we deliver a written inventory of each so the customer's team can rebuild them in Gorgias.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

monday service logo

monday service

What's pushing teams away

  • Pricing has increased materially — Basic rose from $9 to $12 per user monthly, and per-seat billing feels disproportionate to smaller support teams.
  • AI features are still maturing and users report inconsistent performance on ticket triage and auto-response compared to established helpdesk AI.
  • Automations created in monday service are not portable to other platforms, making migration away costly in terms of manual rebuild effort.
  • Complexity-based API rate limits are opaque and change without advance notice, creating integration instability for high-volume support workflows.
  • Platform is board-centric by design, so teams coming from traditional ticket-centric helpdesks find the mental model shift disruptive and the data layout harder to maintain.

Choosing

Gorgias logo

Gorgias

What's pulling them in

  • Shopify-native integrations pull order details, shipment status, and return data directly into the ticket view, eliminating the need for agents to switch between apps.
  • Unlimited user seats mean growing support teams do not trigger billing changes; pricing scales only on billable ticket volume.
  • AI Agent automates responses to high-volume queries like order status and returns, measurably reducing the number of billable tickets each month.
  • Omnichannel inbox consolidates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.
  • SOC 2 Type II certification and GDPR-aligned data handling satisfy enterprise procurement requirements for customer support platforms.

Object mapping

How monday service objects map to Gorgias

Each row shows how a monday service object lands in Gorgias, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

monday service

Ticket (Board Item)

maps to

Gorgias

Ticket

1:1
Fully supported

Monday service Tickets are Items on a support Board. We map Item name to Ticket subject, Item description (body column) to Ticket body, Item status column value to Gorgias Ticket status, Item priority column to Ticket priority, and Item assignee (monday User) to Gorgias agent via email lookup. Created date and last updated date migrate as Ticket created_at and updated_at. Each monday service Board that functions as a ticket board generates its own status column mapping to a Gorgias ticket status set per channel.

monday service

Customer Board Item

maps to

Gorgias

Customer

1:1
Fully supported

Customer records in monday service live as Items on a dedicated Customer Board or as contacts in the monday.com Contacts integration. We extract customer Items by Board ID, map email address to Gorgias Customer email (the primary key), name fields to first_name and last_name, phone column to phone, and any Shopify or external_id column to external_id for ecommerce linkage. If customers appear as sub-items on ticket Items, we extract and deduplicate before writing to Gorgias Customer.

monday service

Update (conversation thread)

maps to

Gorgias

Ticket Reply

1:1
Fully supported

Monday service conversation threads are stored as Updates attached to a Ticket Item. We extract Updates in chronological order, identify author (agent or customer email), timestamp, and body text, then write each Update as a Gorgias Ticket Reply with the corresponding ticket_id resolved. Rich media (embedded images, file attachments in Update text) are handled as ContentDocument attachments linked to the Reply. Thread ordering is preserved by sequencing Replies in original Update timestamp order.

monday service

Status Column

maps to

Gorgias

Ticket Status

lossy
Fully supported

Monday service status columns (Status, Substatus, or custom labeled columns) map to Gorgias Ticket status values. We enumerate all status column labels and their color assignments during discovery and configure equivalent Gorgias status values per ticket channel before migration. If the monday account has multiple ticket boards with independent status columns, we create separate status sets in Gorgias or collapse them to a unified status set depending on whether the customer's workflow benefits from channel-specific statuses.

monday service

SLA Date Column

maps to

Gorgias

Custom Field (date) + SLA Policy

1:1
Fully supported

Monday service encodes SLA targets in custom date columns (First Response Due, Next Response Due) and references them in automation rules. We preserve date column values as custom date fields on the Gorgias Ticket and flag which SLA policies should apply based on the customer's configured automation rules. Native Gorgias SLA Policies (First Response, Next Reply, Resolution) are set up separately in the Gorgias admin panel and linked to Tickets by channel and priority. SLA automation rules from monday service are documented for manual recreation.

monday service

Agent / Team Member (monday User)

maps to

Gorgias

Agent (Gorgias user)

1:1
Fully supported

Monday service agents are monday.com Users. We map by email match to Gorgias user email. Display name, role assignment (agent, admin), and active/inactive status transfer. We identify inactive monday users who still have open ticket assignments and route those to a reconciliation queue for the customer to reassign before migration. Viewer-only accounts are noted but not migrated as active agents.

monday service

Group (within Board)

maps to

Gorgias

Ticket Tag or Custom Field

lossy
Fully supported

Monday service Groups (row groupings within a Board) sometimes represent team assignments, ticket categories, or priority queues. We evaluate whether Groups represent useful segmentation for the Gorgias destination. If so, we map Group names to Gorgias ticket tags or a custom dropdown field. Groups that represent internal team routing (not visible to customers) map to internal notes or a custom field rather than a customer-facing tag.

monday service

Custom Column (text, number, date, dropdown)

maps to

Gorgias

Custom Field (Ticket or Customer)

1:1
Fully supported

Monday service custom columns of type Text, Number, Date, Dropdown, and Link map to equivalent Gorgias custom fields on Ticket or Customer depending on column scope. Text columns with URL patterns (e.g., links to Shopify orders) map to external_id or a URL-type custom field. Multi-select dropdown columns map to Gorgias multi-select fields. We flag formula columns and dependency columns as unsupported for direct migration and document them as custom field reconstruction items for the customer's admin.

monday service

Tag (Item label)

maps to

Gorgias

Ticket Tag

1:1
Fully supported

Monday service Tags applied to Items migrate as Gorgias Ticket Tags. Tags are extracted as a per-Item value set, deduplicated, and written to Gorgias via the ticket tag API. If the customer's tag taxonomy is extensive (over 200 distinct tags), we advise on tag consolidation before migration to avoid tag inflation in Gorgias.

monday service

File / Attachment (Item file column)

maps to

Gorgias

Ticket Attachment or Customer Attachment

1:1
Fully supported

Monday service file attachments uploaded to Item file columns migrate as Gorgias ticket attachments. We extract files during the monday.com account export or via individual Item API calls, re-upload to Gorgias, and link to the corresponding Ticket or Customer. File extraction can add significant processing time for accounts with heavy attachment volumes; we scope file migration separately and optionally defer re-attachment to post-migration with a file inventory delivered alongside the migration.

monday service

Formula Column

maps to

Gorgias

Not migrated (rebuild required)

lossy
Fully supported

Monday service formula columns (computed values derived from other column data) cannot be migrated because they depend on runtime evaluation. We document every formula column by board and Item count, map it to an equivalent Gorgias custom field type, and flag whether the formula logic should be rebuilt as a Gorgias rule or left to manual data entry. This is a manual post-migration step we document explicitly.

monday service

Dashboard Widget (board-referencing)

maps to

Gorgias

Data Export (CSV/JSON)

1:1
Fully supported

Monday service Dashboard widgets that reference board data are not migrated as live dashboard replications. We export the underlying data (ticket volume by status, agent workload, SLA compliance) as CSV and deliver it alongside the migration so the customer's team can rebuild equivalent reports in Gorgias Stats or a connected BI tool. Dashboard rebuild is outside standard migration scope.

monday service

Integration (Salesforce, Jira, Shopify via monday.com)

maps to

Gorgias

Not migrated (manual reconnect)

1:1
Fully supported

Third-party integrations configured in monday service (Salesforce connector, Jira sync, Shopify via monday.com integrations) are account-level configurations not accessible via API. Integration credentials and mapping rules do not transfer. We enumerate active integrations during discovery, document their purpose and data flow, and flag them as manual reconnect tasks in Gorgias. Gorgias's native Shopify integration is configured separately post-migration.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

monday service logo

monday service gotchas

High

Complexity-based API rate limits are undocumented and change without notice

Medium

Account data exports can take up to 24 hours for large workspaces

High

Automations and integrations are not accessible via the public API

Medium

Per-seat pricing model inflates cost for high-volume support teams

Gorgias logo

Gorgias gotchas

High

AI Agent adds outcome-based fees on top of billable ticket costs

High

Overage billing for tickets scales nonlinearly

Medium

API rate limits restrict bulk export throughput

Medium

Agent data visibility cannot be restricted by role for GDPR use cases

Low

Knowledge Base translations require separate API calls per locale

Pair-specific challenges

  • Board-to-ticket schema translation is non-trivial and account-specific

    Monday service has no dedicated ticket object; tickets are Items on Boards. Each monday service account uses a different board structure, column configuration, and group layout for support work. There is no standard template that applies across accounts. Before writing any data to Gorgias, we must audit every board, identify which Items constitute tickets vs. project tasks, enumerate status column labels and their color semantics, and define a mapping table for each board's columns to Gorgias ticket fields. Accounts with dozens of boards and extensive custom column usage require significant discovery time before migration begins. Skipping this step produces misaligned tickets with missing fields or incorrect status assignments.

  • Monday.com complexity-based rate limits are undocumented and change without notice

    Monday.com enforces a complexity point system for API calls rather than simple request-count limits. Individual queries cap at 5M complexity points; app tokens are limited to 5M points per minute. These limits are not publicly documented beyond broad categories and change without advance notice. During export, we monitor complexity consumption via API response headers, throttle or chunk reads accordingly, and schedule large account exports at least 24-48 hours before the migration write phase to avoid mid-export failures. For accounts with hundreds of boards and thousands of Items, we pre-test complexity thresholds with a sample board before running the full export.

  • Automations, portal configurations, and integrations are not accessible via the public API

    Monday service does not expose automation rules, portal layout settings, or third-party integration configurations through its API. This means any routing rules, SLA escalation triggers, Salesforce connectors, or Shopify integrations built in monday service will not transfer automatically. We enumerate all active automations and integrations during discovery and deliver a written migration playbook describing each rule so the customer's team can rebuild them in Gorgias Rules, Macros, and Flows. Portal re-setup (custom domains, branding, customer-facing page layout) is a manual post-migration task. This is a known limitation of leaving monday service that affects every migration destination, not just Gorgias.

  • Account exports can take up to 24 hours for large workspaces

    The monday.com admin account export generates a zip file containing all boards, Items, and optionally files. For accounts with hundreds of boards and heavy file attachments, monday.com advises that export generation can take up to 24 hours. We request exports at the start of migration scoping to avoid blocking the timeline. We can optionally exclude files during the initial export to reduce generation time and handle file attachments separately via API-based extraction, which we scope as a separate line item. Large file attachment volumes can extend the overall migration timeline significantly if file migration is included.

  • Conversation thread ordering depends on how Updates were structured in monday

    Monday service Updates are stored chronologically but the sequence of agent vs. customer messages within a thread depends on how the team used Updates (whether they replied inline, added new Updates per response, or used sub-items for customer replies). We reconstruct thread chronology by timestamp ordering, but the author attribution on each Reply must be inferred from the Update creator's email. If the monday account had multiple agents collaborating on the same ticket without consistent Update authorship, thread attribution may be imperfect. We validate thread reconstruction during sandbox migration and flag any ambiguous threads for customer review.

Migration approach

Six steps for a successful monday service to Gorgias data migration

  1. Discovery and board audit

    We audit every monday.com board in the source account, identify which boards function as support ticket boards, enumerate all column types and labels, and document the Customer Board structure (whether it exists as a separate board, uses monday.com Contacts integration, or stores customers as sub-items on ticket Items). We extract automation rules and integration configurations for the written playbook. The discovery output is a board-by-board mapping table, a column-type translation matrix, and a ticket volume estimate used for pricing and timeline confirmation.

  2. Schema design and Gorgias configuration

    We configure the Gorgias destination account before writing data. This includes creating custom fields to receive monday service custom column data (number, text, date, dropdown, link types), defining ticket status values that mirror the monday service status column semantics, setting up SLA Policies based on the monday service automation rules referencing date columns, and provisioning agents matched by email to monday service Users. If Gorgias's native Shopify or ecommerce integration is in use, we configure it during this phase so that customer-external_id linkage resolves automatically.

  3. Customer and agent extraction

    We extract all monday.com Users and Customer Board Items (or monday.com contact records) before the ticket migration. Agents are matched by email to Gorgias users; inactive or viewer-only accounts are flagged for the customer to reassign before ticket import. Customer records are deduplicated (by email) and written to Gorgias Customer first so that ticket imports can resolve the customer_id foreign key at write time.

  4. Conversation thread reconstruction

    We extract Updates from each ticket Item in chronological order, identify the author email and timestamp for each Update, and sequence them into Reply objects for Gorgias. We handle inline images and embedded URLs by extracting and re-uploading as ContentDocument attachments. If the monday account used sub-items for customer replies rather than Updates, we extract sub-items as Replies with the customer email attribution where available.

  5. Ticket migration in dependency order

    We write ticket Items to Gorgias Tickets in dependency order: Customers first (satisfying foreign key), then Tickets (resolving assignee by email, priority by column value, status by column label mapping), then Replies (resolving ticket_id by monday Item ID lookup), then Tags (by tag name dedup), then custom field values (by column type mapping). SLA date columns migrate as custom date fields; SLA Policy assignment is documented for manual configuration in Gorgias. Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, delta migration, and automation playbook handoff

    We freeze monday service writes during cutover, run a final delta migration of any Items modified during the migration window, then enable Gorgias as the system of record. We deliver the automation and integration playbook enumerating every monday service automation rule and third-party integration with a Gorgias equivalent recommendation. We support a one-week hypercare window where we resolve reconciliation issues. We do not rebuild monday service automations as Gorgias Rules, Macros, or Flows inside the migration scope; that is a separate engagement.

Platform deep dives

Context on both ends of the pair

monday service logo

monday service

Source

Strengths

  • Tightly integrated with the broader monday.com ecosystem for teams already using it for project management.
  • Highly customisable board structure means no two accounts are alike — supporting a wide range of support workflows.
  • Visual and intuitive UI reduces training time for agents new to the platform.
  • Strong automation builder for routing, status updates, and SLA escalation without developer involvement.
  • Generous free tier for small teams to evaluate the platform.

Weaknesses

  • Board-centric data model is a misfit for teams expecting traditional ticket-centric helpdesk semantics.
  • Pricing per-seat model is expensive for high-volume support teams, especially after recent increases.
  • Automations and portal settings are not portable, making migration away a manual-heavy undertaking.
  • API rate limits are complexity-based and opaque, with no guaranteed advance notice of changes.
  • Knowledge base management requires custom board-based workarounds rather than native KB articles and categories.
Gorgias logo

Gorgias

Destination

Strengths

  • Shopify and BigCommerce integrations surface order, return, and shipment data natively inside every ticket.
  • Unlimited agent seats remove per-user licensing friction as support teams grow.
  • AI Agent reduces billable ticket volume through automated resolution of high-frequency queries.
  • SOC 2 Type II certified with GDPR-aligned data handling for enterprise procurement readiness.
  • Omnichannel inbox aggregates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.

Weaknesses

  • Ticket-volume pricing with overage fees creates unpredictable monthly costs during seasonal traffic spikes.
  • Custom reporting is shallow; raw event-level data export for BI tooling is not natively supported.
  • Knowledge Base, Macros, and Rules lack simple export tooling, making competitive migrations complex.
  • GDPR compliance limitations mean customer data cannot be hidden from agents by role, blocking use by teams with freelance staff.
  • Performance and glitch reports emerge in G2 reviews at higher ticket volumes.

Complexity grading

How hard is this migration?

Moderate Helpdesk migration. 5 of 7 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across monday service and Gorgias.

  • Object compatibility

    C

    5 of 7 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    monday service: Complexity-based: 5M complexity points per individual query; 5M complexity points per minute for app tokens and API playground. Limits are not publicly documented in full and are subject to change..

  • Data volume sensitivity

    B

    monday service doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your monday service to Gorgias migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about monday service to Gorgias data migrations

Answers to the questions buyers ask most during monday service to Gorgias migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Most migrations land between three and five weeks for accounts under 10,000 tickets, a single Customer Board, and no complex custom column types (formula, dependency, link). Migrations with dozens of boards, multiple ticket boards, formula columns, or large file attachment volumes move to eight to twelve weeks because of board-by-board schema auditing, column type translation, thread reconstruction, and parent-record lookup resolution in Gorgias. Monday.com's account export can take up to 24 hours for large workspaces, which we schedule at the start of scoping to avoid blocking the timeline.

Adjacent paths

Related migrations to explore

Ready when you are

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