Helpdesk migration

Migrate from REVE Chat to Gorgias

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

REVE Chat logo

REVE Chat

Source

Gorgias

Destination

Gorgias logo

Compatibility

83%

10 of 12

objects map 1:1 between REVE Chat and Gorgias.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from REVE Chat to Gorgias is a model-shift migration, not a record copy. REVE Chat organizes around Conversations and Chat Sessions as the primary objects with Tickets as a secondary record type. Gorgias inverts this: Tickets are the primary object with customer information tied to an e-commerce data model (Customers linked to Orders and Products). We resolve that structural inversion during scoping by mapping REVE Chat Conversations to Gorgias Tickets and collapsing Chat Sessions into Ticket threads. Customer profiles migrate with all standard fields plus custom labels, and we link them to any e-commerce order data the customer provides. Agent profiles map to Gorgias Users with role and team assignment preserved. We do not migrate chatbot flows (Visual Flow Builder is proprietary), automations, or Reports as code; we deliver a written inventory of these for the customer's admin to rebuild in Gorgias Rules.

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

REVE Chat logo

REVE Chat

What's pushing teams away

  • Documentation gaps make initial setup and API authentication difficult—users report spending significant time locating their auth token and account_id.
  • Limited third-party integrations force teams to build custom API workarounds, which is unsustainable at scale for CRM or helpdesk-centric workflows.
  • Some users describe the interface as dated and features as slow to evolve, particularly compared to AI-native competitors that update rapidly.
  • Occasional chat interface lag disrupts conversation flow and frustrates agents handling high-volume sessions.
  • Ticketing is treated as secondary to the conversation stream, which frustrates teams requiring SLA accountability, ticket lifecycle management, or structured ticket reporting.

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 REVE Chat objects map to Gorgias

Each row shows how a REVE Chat 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.

REVE Chat

Conversation

maps to

Gorgias

Ticket

1:1
Fully supported

REVE Chat Conversations map to Gorgias Tickets. Each Conversation record (with transcript, agent attribution, customer messages, and system events) becomes a Ticket with the full message thread preserved in the Ticket conversation pane. The Conversation status (open, pending, resolved, closed) maps to Gorgias Ticket status. We preserve the original conversation start timestamp as the Ticket created_at and resolve the customer reference to the migrated Customer record. Note that REVE Chat Conversations may span multiple Chat Sessions; we collapse session metadata into ticket attributes rather than creating multiple Tickets.

REVE Chat

Chat Session

maps to

Gorgias

Ticket Thread

1:many
Fully supported

Multiple REVE Chat Chat Sessions linked to a single Conversation collapse into one Gorgias Ticket. Session-level metadata (source channel, device info, page context) is preserved as Ticket attributes or ticket events. If a REVE Chat account has Conversational Commerce flows where sessions were intentionally split across topics, we flag this during scoping and offer the option to create separate Tickets per session.

REVE Chat

Customer

maps to

Gorgias

Customer

1:1
Fully supported

REVE Chat Customer profiles (name, email, phone, company, custom labels) map to Gorgias Customer records. The email field serves as the dedupe key during import. If the customer provides e-commerce order data (Orders CSV or API export), we link Customer records to Gorgias Order objects during migration. Custom labels stored as key-value pairs on REVE Chat Customer profiles migrate to Gorgias Customer Properties (metadata fields on the Customer object).

REVE Chat

Agent

maps to

Gorgias

User

1:1
Fully supported

REVE Chat Agent records (display name, email, role: admin/supervisor/agent) map to Gorgias Users. Role mapping: REVE Chat admin maps to Gorgias admin, supervisor maps to agent with team-lead context, and agent maps to agent. We resolve agents by email match against the destination Gorgias account's user table. Any agent without a matching User is held in a reconciliation queue for the customer's admin to provision before record import resumes.

REVE Chat

Ticket

maps to

Gorgias

Ticket

1:1
Fully supported

REVE Chat Ticket records (status, priority, assignee, tags, linked conversation) map to Gorgias Tickets. Ticket status (open, pending, resolved, closed) migrates directly. Priority migrates to Ticket priority. Tags migrate to Gorgias Ticket tags. Assignee migrates by resolving the REVE Chat agent reference to the corresponding Gorgias User via the agent email mapping. Linked conversations map to the Ticket conversation thread that was created from the parent Conversation.

REVE Chat

Canned Response

maps to

Gorgias

Macro

1:1
Fully supported

REVE Chat Canned Responses (saved reply templates with shortcut triggers) map to Gorgias Macros. The template body and shortcut key migrate intact. Note that some canned response fields may be plan-gated on REVE Chat (Starter vs Growth tier), which we verify during scoping. Macro triggers in Gorgias are applied manually or via Rules; we document which Macros map to which ticket events for the customer's admin to configure post-migration.

REVE Chat

Department

maps to

Gorgias

Team

1:1
Fully supported

REVE Chat Department records (controlling routing and agent assignment) map to Gorgias Teams. We preserve department configurations and linked routing rules. In Gorgias, Teams are assigned to Channels and Rules, so the department routing logic maps to a combination of Channel assignment and Rule conditions. We document the routing logic during scoping so the customer's admin can configure Gorgias Teams and routing Rules post-migration.

REVE Chat

Chatbot

maps to

Gorgias

Gorgias Rules (documentation)

lossy
Fully supported

Chatbot flows built in REVE Chat's Visual Flow Builder (including trigger conditions, decision branches, and response actions) do not migrate as code because the Visual Flow Builder uses a proprietary format with no export mechanism. We export the flow logic as a documented workflow description and deliver it as a written inventory for the customer's admin to rebuild using Gorgias Rules. For teams using REVE Chat Brain AI for automated responses, we flag that Gorgias's AI assist features (available on Pro tier) provide similar automation with a different trigger model.

REVE Chat

Reports and Analytics

maps to

Gorgias

Reports (inventory)

1:1
Mapping required

REVE Chat reporting is conversation-centric (response time, agent activity, session counts). We export available metrics as a CSV report delivered alongside migration data. Gorgias reporting is ticket-centric with CSAT, first response time, resolution time, and channel attribution. We document which REVE Chat metrics have Gorgias equivalents and which do not, flagging gaps in SLA adherence reporting and session-level analytics. The customer's admin rebuilds dashboards in Gorgias's Reports section post-migration.

REVE Chat

Media Attachments

maps to

Gorgias

Attachment

1:1
Fully supported

Files and images shared within REVE Chat conversations are exported alongside transcript records. We preserve attachment URLs pointing to REVE Chat storage and include attachment files in the migration package. In Gorgias, attachments are stored within Ticket records. We flag that customers should confirm their Gorgias storage limits (Standard and Pro plans include higher storage allocations) and consider downloading critical attachments to a separate archive for long-term retention.

REVE Chat

Voice Call

maps to

Gorgias

Ticket (voice subtype)

1:1
Fully supported

REVE Chat voice bot and audio call records (session subtypes with duration, direction, and outcome) migrate as Ticket records with a voice channel indicator. Call metadata (duration, direction) is preserved as ticket attributes. Note that the REVE Chat voice channel requires separate infrastructure validation if voice calls were made via SIP or PSTN integration; we flag this during scoping and recommend confirming with the Gorgias team whether voice channel handling (via Twilio or native) is in scope for the migration.

REVE Chat

Social Channel (Facebook, Viber, WhatsApp, Telegram)

maps to

Gorgias

Channel

1:1
Fully supported

Social channel records from REVE Chat (Facebook Messenger, Viber, WhatsApp, Telegram) are linked to Conversations and preserve message content, channel source, and customer profile. We map these to Gorgias Channels (Facebook, Instagram, Twitter/X, and additional channels supported via integrations). Note that Instagram and WhatsApp may be add-ons on REVE Chat Starter plans, which we verify during scoping. Some social channels on REVE Chat (Viber, Telegram) require verification of Gorgias channel availability; we flag any channels that lack a Gorgias equivalent during the mapping phase.

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.

REVE Chat logo

REVE Chat gotchas

High

Chat history retention is plan-tiered

High

Seat ceiling limits by plan

Medium

Chatbot session limits and AI credits

Medium

Social channels are add-on or tier-gated

Medium

API documentation and custom endpoint discovery

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

  • Conversation-to-ticket model inversion requires upfront design

    REVE Chat is conversation-centric with Tickets as a secondary record type; Gorgias is ticket-centric with the Ticket as the primary object. A single REVE Chat Conversation may have multiple linked Chat Sessions; in Gorgias, these collapse into one Ticket with a threaded conversation pane. We define the collapse rule during scoping (one Conversation = one Ticket, with session metadata as ticket attributes) and run it as the first transform. Migrations that skip this design step end up with orphaned session records or duplicate Tickets in Gorgias.

  • Chat history retention varies by REVE Chat plan tier

    REVE Chat enforces plan-tiered chat history retention: Starter retains 90 days, Growth retains 365 days, and Enterprise retains unlimited. We identify the source plan tier during scoping and flag whether any historical conversations fall outside the retention window. Conversations that have aged out cannot be recovered from the source. For Starter-plan accounts with significant history needs, we recommend exporting before migration begins if the history window is already closing. We do not fabricate or interpolate missing history.

  • E-commerce order data linkage requires separate export

    Gorgias's data model links Customers to Orders and Products, surfacing order context in the ticket sidebar. REVE Chat has no native order linkage. If the customer needs order context in Gorgias Tickets post-migration, they must provide a separate export of Orders and Products from their e-commerce platform (Shopify, WooCommerce, Magento) and we will link them to the migrated Customer records. Without this export, Customers migrate without order history, and agents lose post-purchase context visible in REVE Chat conversation threads.

  • Chatbot flows do not export from REVE Chat Visual Flow Builder

    REVE Chat's Visual Flow Builder uses a proprietary flow definition format with no public export mechanism. A G2 reviewer confirmed that custom API calls and new API documentation can be requested from the REVE Chat product team, but no documented export endpoint exists for chatbot flows. We export the flow logic as a written workflow description (trigger, conditions, branches, actions) based on screenshots and notes from the source account. The customer's admin rebuilds these as Gorgias Rules post-migration. We do not migrate Brain AI response configurations.

  • REVE Chat automations and workflows do not migrate to Gorgias Rules

    Gorgias Rules and REVE Chat Workflows are different automation models. REVE Chat Workflows trigger on conversation events (new session, visitor action, chatbot response); Gorgias Rules trigger on ticket events (ticket created, ticket updated, SLA breach). We do not migrate automations as code. We deliver a written inventory of every active REVE Chat Workflow with its trigger, conditions, and actions, and document the equivalent Gorgias Rule configuration. The customer's admin rebuilds them in Gorgias Rules post-migration.

Migration approach

Six steps for a successful REVE Chat to Gorgias data migration

  1. Discovery and plan-tier audit

    We audit the source REVE Chat account across plan tier (Free/Starter/Growth/Enterprise), agent count, conversation volume, chat history retention window, channel inventory (web, mobile, Facebook, Viber, WhatsApp, Telegram, voice), canned response count, active departments, custom label schema, and chatbot flow count. We pair this with a Gorgias edition decision: Starter ($15/seat) covers single-channel web chat migrations; Standard ($49/seat) is required for multi-channel (Facebook, Instagram, Twitter) and e-commerce order linkage; Pro ($89/seat) adds AI assist and advanced SLA rules. We confirm whether the customer has e-commerce order data to link and verify channel availability on the destination plan. The discovery output is a written migration scope with record counts, channel mapping, and Gorgias edition recommendation.

  2. Conversation-to-ticket mapping design and schema preparation

    We design the conversation-to-ticket collapse rule: one REVE Chat Conversation becomes one Gorgias Ticket, with session metadata (channel source, device info, page context) mapped to Ticket attributes. We design the Customer schema: standard fields (name, email, phone, company) plus custom labels mapped to Gorgias Customer Properties. If order data is provided, we design the Customer-to-Order linkage. We configure Gorgias Teams to match REVE Chat Departments, Channels to match active source channels, and document which Macros correspond to REVE Chat Canned Responses. Schema is validated in the customer's Gorgias sandbox before production migration begins.

  3. Sandbox migration and reconciliation

    We run a full migration into the customer's Gorgias sandbox environment using production-like data volume. The customer reconciles record counts (Conversations in vs Tickets in, Agents in vs Users in, Customers in vs Customers in), spot-checks 25-50 random Tickets against the source REVE Chat transcripts, and reviews the customer profile completeness. Any mapping corrections, tag inconsistencies, or status mismatches are resolved here. Customer signs off the sandbox migration before production migration begins.

  4. Agent and user reconciliation

    We extract every distinct REVE Chat Agent referenced on Conversations, Tickets, and Departments and match by email against the destination Gorgias account's User table. Agents without a matching Gorgias User go to a reconciliation queue. The customer's admin provisions any missing Users (active or inactive depending on whether the original REVE Chat agent is still active). Department-to-Team mapping is validated during this phase. Migration cannot proceed past this step because User references are required for Ticket assignee and Team membership.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Teams (configured), Users (reconciled), Customers (with custom labels mapped), Channels (configured per active source channels), Tickets (with Conversation transcripts threaded, agent assignee resolved via email mapping, and status mapped). Macros migrate as Gorgias Macros with shortcut triggers intact. Media attachments are included in the migration package and linked to Tickets. Chatbot flow logic is delivered as a written inventory document for Rules rebuild. Reports and analytics are exported as a CSV and documented as a rebuild handoff.

  6. Cutover, validation, and automation rebuild handoff

    We freeze REVE Chat writes during cutover, run a final delta migration of any records modified during the migration window, then enable Gorgias as the system of record. We deliver the chatbot flow inventory document, the REVE Chat Workflow inventory document, and the reports mapping document to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues raised by the support team. We do not rebuild REVE Chat Workflows as Gorgias Rules or REVE Chat chatbot flows as Gorgias Rules inside the migration scope; that is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

REVE Chat logo

REVE Chat

Source

Strengths

  • Generous free tier with 5,000 live chat sessions and basic chatbot features for teams evaluating fit before committing.
  • Omnichannel coverage across web, mobile, Facebook, Viber, WhatsApp, Telegram, and voice in a single dashboard.
  • AI chatbot builder (Visual Flow Builder and Brain AI) included without requiring a separate chatbot platform subscription.
  • Co-browsing and screen-sharing bundled at no extra cost, which competitors often gate behind higher tiers.
  • Per-seat pricing at $14.99/month on Growth is competitive for small to mid-market teams needing multichannel support.

Weaknesses

  • Documentation gaps and poor API discoverability make setup and integration work difficult for technical teams.
  • Limited third-party integrations compared to established helpdesk platforms, forcing custom API workarounds at scale.
  • Interface and feature set described by some users as dated, with slower update cadence than AI-native competitors.
  • Ticketing is secondary to the conversation stream, lacking SLA tooling, ticket lifecycle depth, and structured reporting.
  • Occasional chat interface lag reported by users handling high-volume sessions, disrupting agent workflow.
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 REVE Chat 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

    REVE Chat: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your REVE Chat 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 REVE Chat to Gorgias data migrations

Answers to the questions buyers ask most during REVE Chat 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 15,000 Conversations and 5,000 Tickets with single-channel (web chat) sources and no e-commerce order linkage. Migrations with multi-channel histories (Facebook, WhatsApp, Telegram), custom label transformations, large transcript volumes (over 200,000 messages), or e-commerce order data linkage move to seven to twelve weeks because of order data preparation, channel mapping scope, and Gorgias sandbox validation time.

Adjacent paths

Related migrations to explore

Ready when you are

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