Helpdesk migration

Migrate from Pylon to Gorgias

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

Pylon logo

Pylon

Source

Gorgias

Destination

Gorgias logo

Compatibility

69%

9 of 13

objects map 1:1 between Pylon and Gorgias.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Pylon to Gorgias is a platform-model migration, not a record copy. Pylon organizes support around Issues with full conversation threads in Slack, Teams, and email channels, storing customer context in an Account Intelligence layer with Notebooks, Tasks, and Activities. Gorgias is ticket-centric with a flat customer table, Shopify order context surfaced via sidebar integration, and Rules-and-Macros automation instead of Pylon's workflow engine. We handle the structural differences: flattening Pylon's nested account-contact hierarchy into Gorgias's flat customer model, mapping Pylon channel assignments to Gorgias channel types, resolving custom fields against Gorgias's type system, and surfacing Pylon's Account Intelligence data as customer-level notes or properties. Macros, Rules, and automation configurations do not migrate; we deliver a written inventory for the customer's admin to rebuild. Integration configuration (webhooks, connected apps) also does not migrate and is documented separately for reconfiguration after cutover.

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

Pylon logo

Pylon

What's pushing teams away

  • AI features are priced as separate add-ons at $50/seat/month for Assistants and volume-based pricing for Agents, creating unpredictable bills that surprise teams during busy months.
  • Limited customization options frustrate teams with complex support workflows that require more than Pylon's opinionated defaults can accommodate.
  • Steep initial learning curve means teams spend weeks building custom views and mastering the tool before it becomes genuinely intuitive, delaying time-to-value.
  • Missing features around email threading, URL visibility in shared channels, and advanced reporting push sophisticated support orgs toward platforms like Front or Zendesk.
  • Annual-only billing with seat minimums (3 for Starter/Professional, 7 for Enterprise) locks teams into contracts that become expensive as headcount grows.

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 Pylon objects map to Gorgias

Each row shows how a Pylon 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.

Pylon

Issue

maps to

Gorgias

Ticket

1:1
Fully supported

Pylon Issues map to Gorgias Tickets. We preserve external comments as Ticket messages (channel determined by Issue channel assignment: email, chat, Facebook, Instagram, WhatsApp, SMS), and Pylon internal notes migrate to Gorgias's internal note field. Created time, first response time, and resolution time transfer as metadata. The Issue ID is stored in a custom field pylon_issue_id__c for audit traceability. Priority and status map from Pylon Issue priority and state to Gorgias ticket priority and status. Note: Pylon's thread-based model means a single Issue may contain multiple channel conversations — we collapse these into a single ticket with multi-channel message history.

Pylon

Account

maps to

Gorgias

Customer

1:1
Fully supported

Pylon Accounts (organizations) map directly to Gorgias Customers. The Account's domain, industry, and custom fields transfer as Customer properties. Pylon Account Intelligence data (health scores, risk flags, account tier) migrates as custom properties on the Customer record if Gorgias supports equivalent custom fields, or as structured notes if no custom field equivalent exists. Customer is created before any related Issue migration so the customer-ticket relationship is satisfied at import time.

Pylon

Contact

maps to

Gorgias

Customer (same table)

1:many
Fully supported

Pylon Contacts attached to an Account merge into the corresponding Gorgias Customer record. Pylon's per-contact email, phone, language, and timezone become properties on the Gorgias Customer. When multiple Pylon Contacts share an Account, their data is consolidated into one Gorgias Customer. The original Pylon contact_id is stored in a custom field pylon_contact_id__c for reconciliation. If the customer uses a flat contact model in Pylon without accounts, each Contact maps 1:1 to a Gorgias Customer.

Pylon

Team

maps to

Gorgias

Team

1:1
Fully supported

Pylon Teams map to Gorgias Teams. Team membership (agents assigned to each team) migrates as team assignments in Gorgias. Where Pylon routing rules are encoded as team-based conditions rather than static assignments, we represent those rules as a written routing matrix for the customer's admin to implement in Gorgias Rules.

Pylon

User (Agent)

maps to

Gorgias

Agent

1:1
Fully supported

Pylon Users map to Gorgias Agents by email match. Agent profiles (name, email, role, availability settings) transfer directly. We resolve each Pylon User against the Gorgias agent table by email; any Pylon User without a matching Gorgias Agent is placed in a reconciliation queue for the customer's admin to provision before migration resumes. Agent-level metrics (CSAT, handle time) stored as custom fields in Pylon do not have a direct Gorgias equivalent and are preserved as custom fields on the Agent record.

Pylon

Custom Fields (Issues)

maps to

Gorgias

Custom Fields (Tickets)

lossy
Fully supported

Pylon Issue custom fields (text, number, decimal, select, multi-select, boolean, date, datetime, URL) map to Gorgias ticket custom fields. Select and multi-select fields require pre-creation of the picklist values in Gorgias before migration. Boolean fields map to Gorgias checkboxes. Number and decimal fields map to Gorgias number fields with type preservation. We generate a schema diff listing each Pylon custom field, its data type, and the required Gorgias field type and configuration before migration begins.

Pylon

Custom Fields (Accounts)

maps to

Gorgias

Custom Fields (Customers)

lossy
Fully supported

Pylon Account custom fields (account tier, health score, risk flag, or any custom account property) map to Gorgias customer custom fields. Same type-mapping rules apply as for Issue custom fields. Pylon's Account Intelligence custom fields are included in this mapping scope. We generate a separate schema diff for account-level fields distinct from the ticket-level field diff.

Pylon

Custom Fields (Contacts)

maps to

Gorgias

Custom Fields (Customers)

lossy
Fully supported

Pylon Contact custom fields migrate to Gorgias customer custom fields following the same type-mapping pipeline as Account and Issue custom fields. Fields that exist at both the Account and Contact level in Pylon are merged into single customer fields in Gorgias, with a note in the schema diff documenting the source record type for each field value.

Pylon

Article

maps to

Gorgias

Help Center Article

1:1
Fully supported

Pylon Knowledge Base Articles migrate to Gorgias Help Center articles. Article content (text, rich text, embedded media) transfers with HTML sanitization applied. Author and last-modified timestamp are preserved as article metadata. Published status migrates — articles in draft state in Pylon remain draft in Gorgias. Article-to-Collection assignments are preserved through a separate mapping table during migration.

Pylon

Collection

maps to

Gorgias

Category

1:1
Fully supported

Pylon Collections (folders) map to Gorgias Help Center categories. Nested sub-collections in Pylon map to sub-categories in Gorgias. Permission settings on Collections are documented as access-control notes for the customer's admin to configure in Gorgias Help Center settings. The article-to-collection assignment is preserved through the mapping table generated during the Article migration phase.

Pylon

Account Intelligence: Notebook

maps to

Gorgias

Customer Note

1:1
Fully supported

Pylon Notebooks (structured account health notes, summaries, and context documents) migrate to Gorgias customer notes attached to the corresponding Customer record. Each Notebook's content, author, and timestamp transfer as a dated note entry on the Customer. If the customer has a high volume of Notebooks, we batch them by Account to minimize the number of individual note inserts.

Pylon

Account Intelligence: Task

maps to

Gorgias

Customer Note

1:1
Fully supported

Pylon Tasks and Projects from the Account Intelligence layer migrate as dated note entries on the corresponding Gorgias Customer. The task title, description, due date, and completion status transfer as note content formatted in a structured template (e.g., '[Task] Due: YYYY-MM-DD — description'). If Gorgias has a task or to-do feature available on the customer's plan, we document it as a configuration recommendation rather than forcing the note-format migration.

Pylon

Account Intelligence: Activity

maps to

Gorgias

Customer Note

1:1
Fully supported

Pylon Activities (login events, feature usage, support interactions tracked as account-level events) migrate as dated note entries on the Gorgias Customer record in reverse chronological order. High-frequency activity logs are summarized or sampled at migration time to avoid note inflation; the original activity log is documented as a CSV export excluded from the migration target.

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.

Pylon logo

Pylon gotchas

High

AI pricing is a separate billing line item

High

Annual billing with seat minimums locks migration timing

Medium

Seamless email migration only works from Zendesk, Front, or Intercom

Medium

Pylon migrates data only, not destination configuration

Low

Learning curve delays agent productivity post-migration

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

  • Pylon's thread model collapses differently than Gorgias tickets

    Pylon Issues contain multi-channel thread history (Slack messages, Teams messages, email exchanges, chat widget conversations) under a single Issue ID. Gorgias Tickets represent a single channel conversation with messages structured by source channel. When migrating from Pylon to Gorgias, we must determine whether to collapse all thread messages into one Gorgias ticket (preserving full history but losing channel attribution) or split by channel into separate Gorgias tickets (preserving channel structure but breaking the Issue's unified view). We resolve this during scoping by asking whether the customer's team needs the full Issue context in one view or channel-separated ticket tracking. The chosen strategy affects the message ordering, the channel field on each message, and how internal notes are distinguished from external messages in Gorgias.

  • No native Pylon-to-Gorgias migration integration exists

    Gorgias's Help Desk Migration app supports 80+ source platforms (Zendesk, Freshdesk, Front, Intercom, Salesforce Service Cloud, and others), but Pylon is not among them. There is no API-level sync partner or pre-built connector for Pylon to Gorgias, meaning every migration requires custom field mapping, API extraction from Pylon, and API insertion into Gorgias. This eliminates the drag-and-drop migration path that teams may have used when evaluating Gorgias. We handle the custom extraction pipeline and insertion pipeline as the core migration engineering work. Timeline and pricing reflect the absence of a pre-built connector.

  • Gorgias charges per ticket volume, not per agent

    Gorgias pricing is based on billable tickets per month ($10/month for 50 tickets up to $750/month for 5,000 tickets), with overage at $0.36-$0.40 per additional ticket. This model is fundamentally different from Pylon's per-seat billing ($59-$139 per agent per month, annual). Teams switching to Gorgias must estimate their monthly ticket volume carefully: a team with 3 agents generating 3,000 tickets per month lands on the $750/month Advanced plan, whereas the same team on Pylon Professional would pay $267/month ($89 x 3 seats). However, teams can add unlimited agents at no software cost, making Gorgias more economical for large seasonal support teams. We provide a volume estimation during scoping based on Pylon's historical Issue count.

  • Pylon Account Intelligence data has no native Gorgias equivalent

    Pylon's Account Intelligence layer — Notebooks, Tasks, Projects, Activities, and custom account-level health metrics — stores customer context that does not map to any standard Gorgias object. Gorgias surfaces Shopify order context via sidebar integration for e-commerce customers, but it does not have an Account Intelligence equivalent. We migrate Account Intelligence data as structured notes or custom customer properties where possible, but customer health scores, activity timelines, and project tracking require manual review in Gorgias after migration. We document every Account Intelligence field and its migration destination in the schema diff delivered before migration begins.

  • Pylon Broadcasts and Integrations do not migrate

    Pylon Broadcasts (one-off outbound messaging objects with analytics) do not map to any Gorgias object and are excluded from migration scope. We document the count and schedule of active Broadcasts so the customer's team can recreate them in a marketing or outreach tool post-migration. Integration configuration — connected apps, webhook endpoints, API credentials — is not migratable across platforms. We extract a full inventory of active Pylon integrations (CRM connectors, Slack channels, Teams, chat widget, email routing, data warehouse connections) and deliver it as a reconfiguration checklist for the customer's admin to implement in Gorgias after cutover.

Migration approach

Six steps for a successful Pylon to Gorgias data migration

  1. Discovery and migration strategy session

    We audit the source Pylon workspace across all objects: Issue volume (open and closed), Account count, Contact count, Team structure, User roster, custom field schemas on Issues, Accounts, and Contacts, Knowledge Base article count and collection structure, and Account Intelligence object volume. We pair this with a Gorgias plan recommendation based on estimated monthly ticket volume. We conduct a strategy session to decide whether Pylon's multi-channel threads collapse into single Gorgias tickets or split by channel, and to identify which Account Intelligence objects the customer wants migrated versus documented for manual re-entry. The discovery output is a written migration scope document.

  2. Schema diff and field mapping design

    We generate a complete schema diff comparing every Pylon custom field (by name, data type, and object) against Gorgias's supported field types. Select and multi-select fields require pre-creation of picklist values in Gorgias before migration; we deliver the exact values list for each field. Number, decimal, boolean, date, and text fields map directly where equivalent types exist. For Account Intelligence fields with no Gorgias equivalent, we define the target (custom customer property, structured note, or excluded) and document it in the diff. This diff is reviewed by the customer's admin before any schema creation begins.

  3. Pylon data extraction via API

    We extract data from Pylon using the Pylon REST API with rate-limit handling and exponential backoff. The extraction runs in phases: Users and Teams first (for agent matching), then Accounts and Contacts (for parent-record resolution), then Issues with full thread history (external comments, internal notes, channel metadata), then Knowledge Base Articles and Collections, then Account Intelligence objects (Notebooks, Tasks, Projects, Activities). Each extraction phase emits a record count and data quality report. Inline images embedded in Pylon thread messages are extracted separately as attachment references and re-hosted in Gorgias during insertion.

  4. Gorgias schema provisioning and test migration

    We pre-create all required custom fields in Gorgias (ticket custom fields, customer custom fields) using the exact names and data types from the schema diff. We configure Teams in Gorgias to match the Pylon Team structure. We run a test migration into a Gorgias trial or staging account with a representative sample of records (10% of total volume) and perform reconciliation: record counts per object, spot-check of 20-30 random tickets for message completeness and internal note attribution, and custom field value verification. Corrections to the mapping logic are applied before the full migration begins.

  5. Full production migration

    We run the production migration in dependency order: Agents (resolved by email match, held in reconciliation queue if missing), Customers (from Pylon Accounts, with Account Intelligence data attached), Knowledge Base Categories and Articles (for article-to-category assignment mapping), then Tickets (with thread history collapsed or split per the agreed strategy, and Customer lookup resolved at insert time). Each phase emits a row-count reconciliation report. We apply tagging to migrated tickets (pylon_imported: true, pylon_issue_id: original ID) for future reference. A final delta pass captures any Pylon records created or modified during the migration window.

  6. Cutover, validation, and automation rebuild handoff

    We freeze Pylon write access at cutover, run the final delta migration, then mark Gorgias as the system of record. We deliver the Migration Summary Report covering record counts per object, data quality metrics, unmapped fields (if any), and the Pylon integration inventory. We deliver the Workflow and Rule inventory document: every Pylon Workflow trigger, condition, and action is documented with a recommended Gorgias Rule or Macro equivalent. We do not rebuild Pylon Workflows as Gorgias Rules inside the migration scope. Integration reconfiguration (webhooks, connected apps) is documented in a separate checklist for the customer's admin. We offer a one-week hypercare window for reconciliation issues raised by the support team during live operation.

Platform deep dives

Context on both ends of the pair

Pylon logo

Pylon

Source

Strengths

  • Native Slack and Microsoft Teams channels mean no inbox switching for support teams already living in messaging apps.
  • Clean, opinionated data model with clear mappings to standard helpdesk objects makes schema translation predictable.
  • Account Intelligence layer unifies customer health data alongside support tickets in one platform.
  • AI Assist products are genuinely useful for handling common inquiries without full chatbot setup.
  • Strong G2 ratings (4.7–4.9 across 100+ reviews) indicate reliable execution of the core use case.

Weaknesses

  • AI features are separate paid add-ons rather than included in any tier, inflating real cost well above the $59/seat sticker price.
  • Annual-only billing with seat minimums removes flexibility for teams that need month-to-month options.
  • Limited customization compared to Zendesk or Front makes it hard to adapt Pylon to non-standard support workflows.
  • Missing email threading depth and URL visibility in shared channels are recurring complaints in G2 reviews.
  • No free plan means teams must commit to a sales call or demo before evaluating the product seriously.
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. 3 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 Pylon and Gorgias.

  • Object compatibility

    C

    3 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

    Pylon: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Pylon 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 Pylon to Gorgias data migrations

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

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Most migrations land between three and five weeks for accounts under 10,000 Issues and 5,000 Accounts with a straightforward custom field schema and no Account Intelligence layer to restructure. Migrations with large historical thread volumes (over 200,000 message records), complex Account Intelligence objects (Notebooks, Tasks, Activities across hundreds of accounts), or a large knowledge base (500+ articles in nested collections) move to seven to eleven weeks because of thread collapse logic, Account Intelligence note formatting, and knowledge base HTML sanitization. The test migration and admin review step adds approximately one week before production migration begins.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Pylon.
Land in Gorgias, intact.

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