Helpdesk migration

Migrate from LimeChat to Gorgias

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

LimeChat logo

LimeChat

Source

Gorgias

Destination

Gorgias logo

Compatibility

58%

7 of 12

objects map 1:1 between LimeChat and Gorgias.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from LimeChat to Gorgias is a multi-channel rationalisation for D2C brands that have outgrown LimeChat's WhatsApp-centric architecture. LimeChat stores customer interactions primarily as WhatsApp conversation threads with GPT-powered bot flows and WhatsApp marketing campaigns; Gorgias treats the ticket as the primary object, with email, chat, and social channels converging into a single inbox alongside WhatsApp. We extract LimeChat conversation histories with message metadata, customer profiles with WhatsApp identifiers, campaign structures, and bot intent definitions. The WhatsApp Business Account registered under LimeChat's Meta partnership must be transferred to Gorgias, which requires a 2-4 week Meta verification window that can interrupt active WhatsApp campaigns. We sequence that cutover carefully to minimise downtime. Bot NLP models trained inside LimeChat cannot be exported as portable files; we deliver intent labels and trigger phrases as a written document for retraining in Gorgias macros. Workflows, automation flows, and WhatsApp template messages do not migrate as code; we inventory every automation requiring rebuild in Gorgias Saved Replies and 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

LimeChat logo

LimeChat

What's pushing teams away

  • Frequent chatbot glitches and WhatsApp broadcasting issues reported in G2 reviews disrupt marketing campaign reliability and customer support workflows.
  • Software bugs in chat management and CSV uploading create friction when teams try to export or bulk-update customer data.
  • Mobile app performance lags significantly behind the desktop version, limiting field teams and support agents who need mobile access.
  • Monthly pricing is considered high by multiple reviewers despite acknowledging feature value, prompting evaluation of alternatives.
  • Limited platform independence due to WhatsApp-centric architecture means teams heavily invested in other channels find the migration path restrictive.

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 LimeChat objects map to Gorgias

Each row shows how a LimeChat 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.

LimeChat

Conversations

maps to

Gorgias

Ticket

1:1
Mapping required

LimeChat conversation threads map to Gorgias Tickets with the original WhatsApp message history preserved in the ticket body as a structured timeline. Each message maps to a Ticket Comment with the sender role (customer, agent, bot), timestamp, and message type (text, image, document, button response). The WhatsApp channel attribution and LimeChat conversation ID migrate as custom fields for cross-referencing. If the LimeChat account has over 50,000 conversations, we run a staged export with date-range chunking to avoid timeout failures.

LimeChat

Customers

maps to

Gorgias

Customer

1:1
Mapping required

LimeChat customer profiles with WhatsApp phone number, name, email, and interaction history map to Gorgias Customer records. The WhatsApp identifier (wa_id) migrates as a custom string field since Gorgias does not have a native WhatsApp-specific contact field. Custom properties on the LimeChat customer record map to Gorgias custom fields by type: string properties to String custom fields, date properties to Date custom fields, boolean flags to Boolean custom fields. We run a dedupe check on email and phone before insert to prevent duplicate Customer records.

LimeChat

Campaigns

maps to

Gorgias

Saved Reply or Rule

lossy
Mapping required

LimeChat WhatsApp marketing campaigns (targeting rules, message templates, send schedules) do not have a direct Gorgias equivalent since Gorgias separates marketing automation from support ticketing. We extract campaign structure and audience segment definitions as a written inventory document. WhatsApp broadcast templates migrate as Gorgias Saved Replies with the template body and variable placeholders preserved. The customer rebuilds targeting and scheduling logic inside Gorgias Rules or as a separate WhatsApp marketing tool (such as AiSensy, Wati, or a Meta-native Campaign Manager setup) post-migration.

LimeChat

Automation Flows

maps to

Gorgias

Rule or Macros

lossy
Mapping required

LimeChat bot flows with trigger conditions, decision trees, and response actions extract as structured data documenting each node, branch condition, and response. Gorgias Rules handle event-based automation (ticket created, status changed, tag added) and Gorgias Macros handle agent-executed shortcuts. Complex LimeChat branching flows with more than three decision nodes do not map directly to a single Gorgias Rule and require simplification or a multi-Rule chain. We deliver a flow-to-Rule mapping document with condition fields and action fields specified for the customer's admin to configure.

LimeChat

Bot Configurations

maps to

Gorgias

Macros

lossy
Mapping required

LimeChat bot settings (NLP intent definitions, entity extraction rules, handoff configurations, response templates) export as intent label and trigger phrase documentation. The GPT-trained intent models themselves are proprietary to LimeChat's AI infrastructure and cannot be exported as portable files. We deliver a plain-text intent inventory listing each intent name, training phrases, and associated response so the customer can retrain equivalent intents in Gorgias Macros or in a connected chatbot layer (Gorgias's AI Agent or a third-party NLP tool). This is documented scope, not migrated code.

LimeChat

Helpdesk Tickets

maps to

Gorgias

Ticket

1:1
Fully supported

LimeChat helpdesk ticket records (issue descriptions, status, assigned agents, conversation linkage) map directly to Gorgias Tickets. Ticket status values (Open, Pending, Resolved, Closed) map to Gorgias Ticket status using a status mapping defined during scoping. Agent attribution resolves by matching LimeChat agent email to a Gorgias Agent provisioned before migration. Custom ticket fields migrate individually via Gorgias custom field creation in the REST API, with the external_id field used to cross-reference the original LimeChat field name.

LimeChat

Products

maps to

Gorgias

Product

1:1
Mapping required

LimeChat product catalog entries (SKUs, product names, descriptions, pricing) map to Gorgias Product records. The product reference inside LimeChat conversation context (used by bots to surface product information) migrates as Gorgias Product records so that agents handling tickets can reference the same product data. Full catalog synchronisation with the e-commerce platform (Shopify, WooCommerce) requires a separate integration setup in Gorgias post-migration.

LimeChat

Tags

maps to

Gorgias

Tag

1:1
Fully supported

Contact and conversation tags from LimeChat migrate as Gorgias Tag labels attached to the corresponding Customer or Ticket. Tag arrays stored as multi-value properties on LimeChat contacts map to multiple Gorgias Tag records associated with the same Customer. Tag-based segmentation used in LimeChat campaign targeting is noted in the campaign inventory document so the customer can rebuild equivalent segments using Gorgias Customer attributes and Rules.

LimeChat

Click-to-WhatsApp Ads

maps to

Gorgias

Message

lossy
Mapping required

Click-to-WhatsApp ad configurations and campaign attribution data extract as Meta ad reference records documenting the ad set ID, campaign name, and attribution window. The actual Meta ad account linking requires reconnection inside Gorgias under the customer's Meta Business partnership. We preserve the attribution reference so the customer can re-link the ad account post-migration in Gorgias Settings > Integrations > Meta.

LimeChat

WhatsApp Business Account (WABA)

maps to

Gorgias

WhatsApp Channel (via Meta partnership)

lossy
Fully supported

The WhatsApp Business Account registered under LimeChat's Meta Business Solution Partnership requires a formal WABA transfer to Gorgias before WhatsApp channel activity can resume in the new platform. This is not a data migration step but a required Meta verification step coordinated during cutover. Transfer requests are submitted through Meta's Business Partner API and typically take 2-4 weeks. Active WhatsApp campaigns may be paused during this window. We sequence the data migration to complete before the WABA transfer begins to avoid partial imports on a changing source.

LimeChat

Conversation Analytics

maps to

Gorgias

Statistics (Gorgias reporting)

1:1
Not supported

LimeChat aggregated analytics and dashboard metrics are derived data computed from raw conversation records and are not migrated as a dataset. We migrate the underlying conversation records (mapped to Gorgias Tickets) so that the customer can reconstruct CSAT, response time, and automation rate reports from migrated data inside Gorgias Statistics > Support Performance. Pre-built LimeChat analytics exports (CSV or PDF reports) are flagged for manual reference and do not transfer into Gorgias dashboards.

LimeChat

Agent / Owner

maps to

Gorgias

Agent

1:1
Fully supported

LimeChat agent accounts and their conversation assignments map to Gorgias Agent records. Agent email address is the dedupe key. Agents without email (shared inbox access) require manual provisioning in Gorgias before migration so that the Agent attribution on Tickets is correctly assigned. Deleted or inactive LimeChat agents and their ticket assignments go to a reconciliation queue for the customer's admin to reassign to active Gorgias Agents before production cutover.

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.

LimeChat logo

LimeChat gotchas

High

Conversation-volume pricing tier affects migration scoping

High

WhatsApp Business Account verification is platform-locked

Medium

Bot NLP intent models do not transfer across AI providers

Medium

Software bugs affect conversation export reliability

Low

Mobile app data may be incomplete compared to desktop

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

  • WhatsApp Business Account re-verification is required and takes 2-4 weeks

    LimeChat operates as a Meta WhatsApp Business Solution Partner, which means the customer's WABA is registered under LimeChat's Meta partnership. Migrating to Gorgias requires initiating a formal WABA transfer through Meta's Business Partner transfer flow, which Gorgias must approve as the receiving partner. This process takes two to four weeks and may temporarily interrupt active WhatsApp marketing campaigns and automated bot responses. We coordinate the transfer request during the cutover window, extract and migrate all conversation and customer data before the transfer begins, and advise the customer to pause scheduled WhatsApp broadcasts during the verification period to avoid message delivery failures.

  • Gorgias macro import is text-only; field mutations do not transfer

    Gorgias's native import tool supports only macro reply text and basic status changes. Any LimeChat automation flow or bot configuration that updates custom fields, assigns tags, changes ticket priority, or triggers a side effect has no migration path through Gorgias's import tooling. We document every LimeChat flow with its trigger conditions, branch logic, and field actions as a written specification, but the customer must rebuild the automation logic inside Gorgias Rules and Macros manually. This is a known limitation of Gorgias's import framework documented on the Gorgias Developer Portal and in the ClonePartner Gorgias migration partner documentation.

  • LimeChat bot NLP models do not export as portable files

    LimeChat's GPT-powered chatbot trains customer-specific intent models with proprietary training phrases and entity extraction rules hosted inside LimeChat's AI infrastructure. These models cannot be exported, downloaded, or transferred to any external platform. We extract intent labels, training phrase text, and trigger conditions as a structured document so the customer can retrain equivalent intents in Gorgias Macros, Gorgias AI Agent, or a connected NLP layer. The retraining work is outside migration scope and requires the customer to define intents based on the documented inventory.

  • Conversation export reliability is affected by reported LimeChat software bugs

    G2 reviews document LimeChat chatbot glitches and WhatsApp broadcasting issues that occur during normal platform operation. These same instabilities can affect bulk conversation export reliability, particularly when exporting conversation histories exceeding 10,000 threads or when exporting CSVs of customer contact data. We run pre-migration validation checks on export batches, cross-reference record counts against LimeChat's internal analytics, and request manual re-export for any batches that return truncated or inconsistent data. Large exports (over 50,000 conversations) are chunked by date range to reduce the probability of timeout or truncation.

  • Gorgias charges per ticket, not per conversation, which affects pricing alignment

    LimeChat prices on conversation volume and user count. Gorgias prices on billable tickets, where a ticket is opened when a customer reaches out and resolved when marked closed; automated bot messages in LimeChat do not necessarily open Gorgias tickets. If LimeChat's 80% automation rate is genuine, the customer may have a relatively low ticket count in Gorgias relative to their LimeChat conversation volume, making the per-ticket model cost-competitive. However, if LimeChat counted automated bot interactions as conversations for billing purposes, the apparent volume reduction in Gorgias may not translate directly to lower cost until the customer validates actual ticket volume against the Gorgias plan tier.

Migration approach

Six steps for a successful LimeChat to Gorgias data migration

  1. Discovery and scoping

    We audit the source LimeChat account across plan tier, conversation volume, customer count, active campaign count, bot flow complexity, and custom field usage. We extract a full object inventory including conversation thread count, customer profile fields, tag taxonomy, and product catalog size. We pair this with a Gorgias plan recommendation based on projected monthly ticket volume and required e-commerce integrations (Shopify, BigCommerce, or Magento). The discovery output is a written migration scope with record counts per object, a WABA transfer timeline, and a flag for any LimeChat accounts exceeding 50,000 conversations requiring a staged export strategy.

  2. Meta WABA transfer coordination

    We initiate the WhatsApp Business Account transfer request with Meta through Gorgias's partnership channel before any data extraction begins. This is the longest-lead-time step at two to four weeks. During this window, we extract conversation and customer data from LimeChat so that the migrated dataset is complete before the WABA transition interrupts source platform access. We advise the customer to document any active WhatsApp broadcast schedules, template message IDs, and chatbot operating hours that will need to be reconfigured post-transfer.

  3. Gorgias schema configuration

    We configure the destination Gorgias workspace before migration: creating custom fields that map to LimeChat custom properties via the Gorgias REST API (CustomField endpoint with external_id set to the LimeChat field name), provisioning Gorgias Agents to match LimeChat agent accounts, setting up the WhatsApp channel integration once the WABA transfer is confirmed, and creating the product catalog entries that correspond to LimeChat product records. Channel integrations (Shopify, email, Instagram) are connected and tested before data import begins.

  4. Sandbox migration and validation

    We run a full migration into the customer's Gorgias workspace using representative data volume. The customer reconciles record counts (Customers, Tickets, Tags, Products) against LimeChat source counts, spot-checks 25-50 migrated ticket threads for message integrity and timestamp ordering, and validates that agent attributions match the expected assignments. Any custom field mapping errors, missing tags, or conversation truncation is corrected before production migration begins. This step runs in parallel with the WABA transfer window where possible.

  5. Production migration in dependency order

    We run production migration in dependency order: Products first (for product reference resolution), then Customers, then Tickets with conversation threads as the primary content, then Tags linked to the migrated Customers and Tickets. Agent attribution resolves by email match against the Gorgias Agent table. Each phase emits a row-count reconciliation report before the next phase begins. Large conversation histories (over 10,000 threads per batch) are chunked by date range with pre-validation checks to handle the export reliability limitations documented in the gotchas section.

  6. Cutover, WABA activation, and automation handoff

    We freeze LimeChat writes during cutover, run a final delta migration of any records modified during the migration window, then activate the Gorgias WhatsApp channel once Meta confirms the WABA transfer. We deliver the automation inventory document covering every LimeChat bot flow, campaign targeting rule, and automation condition to the customer's admin team with recommended Gorgias Rule and Macro equivalents. We support a one-week post-cutover window to resolve any reconciliation issues. We do not rebuild LimeChat bot flows inside Gorgias; that work is documented for the customer's admin to configure or for a separate chatbot implementation engagement.

Platform deep dives

Context on both ends of the pair

LimeChat logo

LimeChat

Source

Strengths

  • WhatsApp-native commerce with native channel support across WhatsApp, Facebook Messenger, and Instagram
  • GPT-powered chatbots delivering natural language customer support without large support teams
  • Unified platform combining helpdesk, marketing automation, and lightweight CRM
  • Established track record with 300+ D2C brands including major Indian consumer goods companies
  • 2-way WhatsApp campaigns enabling personalised marketing without broadcast spam perception

Weaknesses

  • WhatsApp-centric architecture limits platform independence for multi-channel strategies
  • Limited public API documentation makes programmatic data access and migration planning difficult
  • Frequent software bugs and glitches reported across chat functionality and CSV operations
  • Mobile app significantly underperforms desktop, restricting field team access
  • Pricing transparency lacking with custom quotes required to understand full cost
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 LimeChat 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

    LimeChat: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your LimeChat to Gorgias migration cost

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

Step 1

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FAQ

Frequently asked questions about LimeChat to Gorgias data migrations

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

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Straightforward migrations with under 10,000 customer profiles and 5,000 conversation threads complete in three to five weeks. The longest-lead-time variable is the WhatsApp Business Account transfer with Meta, which takes two to four weeks regardless of migration scope and can run in parallel with data extraction. Migrations with large conversation histories (over 50,000 threads), multiple active campaigns, bot configuration documentation for retraining, or multi-channel ticket reconstruction extend to eight to twelve weeks.

Adjacent paths

Related migrations to explore

Ready when you are

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