Helpdesk migration

Migrate from LimeChat to Intercom

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

LimeChat logo

LimeChat

Source

Intercom

Destination

Intercom logo

Compatibility

50%

5 of 10

objects map 1:1 between LimeChat and Intercom.

Complexity

CModerate

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

LimeChat and Intercom serve different core channels: LimeChat is WhatsApp-native, built for D2C e-commerce brands in the Indian market with GPT chatbot and 2-way campaign capabilities, while Intercom is a multichannel conversational support and engagement platform with a mature AI agent (Fin), proactive messaging, and a broad integration ecosystem. Migrating from LimeChat to Intercom means moving out of a single-channel WhatsApp architecture into a platform that supports live chat, email, social, and in-app messaging from one inbox. We extract LimeChat's conversation threads, customer profiles, campaign records, and helpdesk tickets via LimeChat's export APIs, resolve WhatsApp Business Account re-verification under the new Meta partnership, and load records into Intercom's Users, Contacts, Companies, and Conversations objects. We do not migrate LimeChat's GPT-trained intent models or automation flows as functional code; we deliver plain-text inventories of bot logic and campaign rules for the customer's team to rebuild in Intercom's workflow builder. API rate limiting and phone number validation are handled during migration to prevent record rejection at the Intercom destination.

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

Intercom logo

Intercom

What's pulling them in

  • Instant chat and message threading on websites and apps gives support teams a single inbox without context-switching, according to reviewers on Capterra and G2 who highlight fast response times as a primary benefit.
  • Fin AI handles repetitive inbound queries automatically, reducing agent workload measurably — G2 reviewers report fewer escalations and faster first-response times once Fin is configured.
  • Automation workflows (Outbound, Operator, and custom bots) allow teams to qualify leads and route tickets without manual intervention, appealing to growth-stage SaaS companies managing high ticket volumes.
  • Help center articles and self-service deflection are natively integrated, so knowledge base content and chat conversations live in the same workspace, simplifying reporting.
  • Multi-channel support (live chat, email, SMS, WhatsApp, Phone) consolidates customer touchpoints into one inbox, reducing the operational overhead of managing separate tools.

Object mapping

How LimeChat objects map to Intercom

Each row shows how a LimeChat object lands in Intercom, 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

Intercom

Conversation

1:1
Mapping required

LimeChat WhatsApp conversation threads migrate to Intercom Conversation records with full message metadata (timestamps, message direction, read receipts, WhatsApp message type). We preserve the original WhatsApp message ID in intercom_external_id__c for cross-referencing. Agent attribution migrates to Conversation assignments linked to the resolved Intercom User. Unassigned conversations require default assignment settings enabled in Intercom before import per Help Desk Migration guidance.

LimeChat

Customers

maps to

Intercom

Contact (People)

1:1
Mapping required

LimeChat customer profiles with WhatsApp identifiers, contact details, and interaction history map to Intercom Contacts. The WhatsApp phone number becomes the primary identifier; we run phone number validation disable in Intercom settings before migration to prevent invalid numbers from blocking import. Custom contact attributes migrate to Intercom custom_attributes. Any HubSpot Owner email references are resolved to Intercom Admins via the Team member mapping.

LimeChat

Campaigns

maps to

Intercom

Outbound Campaign

lossy
Mapping required

LimeChat 2-way WhatsApp campaign structures (targeting rules, message templates, send schedules, audience segments) migrate as plain-text campaign inventory. WhatsApp template message formats are platform-specific and require reconstruction in Intercom's Outbound messaging as email, push, or WhatsApp templates. Campaign performance records (open rates, click rates, delivery stats) migrate as custom attributes on the Campaign record rather than native analytics.

LimeChat

Automation Flows

maps to

Intercom

Workflow (Bot, Operator, Custom Bot)

lossy
Mapping required

LimeChat bot flows with trigger conditions, decision trees, and response actions export as structured JSON but cannot run in Intercom without reconstruction. We deliver a written inventory of every active LimeChat automation with its trigger type, conditions, branching logic, and actions in plain-text format. The customer's Intercom admin rebuilds these as Intercom Workflows, Custom Bots, or Rules based on the delivered inventory.

LimeChat

Bot Configurations

maps to

Intercom

Fin AI Agent + Help Center Articles

lossy
Mapping required

LimeChat GPT intent definitions and NLP training labels export as plain-text intent and entity lists. These do not transfer as trained models to Intercom's Fin AI Agent, which requires its own Knowledge Hub article set for FAQ resolution. We extract LimeChat bot response templates as text files for the customer to repurpose as Intercom Help Center articles or Fin knowledge sources.

LimeChat

Helpdesk Tickets

maps to

Intercom

Conversation with Ticket Attributes

1:1
Fully supported

LimeChat tickets with issue descriptions, status, assigned agents, and conversation linkage migrate to Intercom Conversation records with Ticket attributes (Ticket title, Ticket attributes, Assigned team/teammate). Standard ticket fields migrate cleanly; custom ticket fields map to Intercom Ticket custom_attributes. The migration sequence requires Ticket attributes to be enabled in Intercom workspace settings before import.

LimeChat

Products

maps to

Intercom

Product

1:1
Mapping required

LimeChat product catalog entries (SKUs, product names, pricing, images) migrate to Intercom Products. Product-to-conversation surfacing that LimeChat bots perform requires reconstruction in Intercom as part of the bot workflow rebuild. E-commerce platform sync (Shopify, WooCommerce) requires separate integration setup post-migration.

LimeChat

Tags

maps to

Intercom

Tag

1:1
Fully supported

Contact and conversation tags used for segmentation and campaign targeting migrate as Tag records in Intercom. Tag associations to individual contacts and conversations migrate as tag_id references. Intercom's tag limit and naming conventions are validated during mapping to avoid conflicts with existing Intercom tags.

LimeChat

Click-to-WhatsApp Ads

maps to

Intercom

Campaign + User attribution

lossy
Mapping required

Click-to-WhatsApp ad configurations and campaign attribution data export as metadata records. Meta ad account linking requires reconnection in Intercom's Meta advertising integration post-migration. Customer attribution from ad-clicked conversations migrates as custom attributes on the Contact record.

LimeChat

Conversation Analytics

maps to

Intercom

Report (rebuilt)

lossy
Not supported

Aggregated analytics and pre-computed dashboards are derived data not stored as records. We do not migrate LimeChat's analytics outputs. The customer rebuilds reports in Intercom's native reporting using migrated conversation data. Created_at and Updated_at timestamps migrate for conversation records, enabling time-series analysis from day one.

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

Intercom logo

Intercom gotchas

High

S3 JSON export omits conversation transcripts

High

Workspace isolation prevents workflow migration

Medium

Fin AI resolution fees compound with automation success

Medium

Two-year conversation history limit on historical export

Low

Private app rate limits share workspace quota

Pair-specific challenges

  • WhatsApp Business Account re-verification is required

    LimeChat operates as a WhatsApp Business Solution Partner, meaning the customer's WABA is registered through LimeChat's Meta partnership. Migrating to Intercom requires re-verifying the WABA under Intercom's Meta partnership, which can take 2-4 weeks and may temporarily interrupt active WhatsApp campaigns. We coordinate Meta WABA transfer requests during migration cutover, but the customer must account for the downtime window and plan campaign suspension or fallback communication channels during the verification period.

  • GPT-trained bot intent models do not transfer across AI providers

    LimeChat's chatbot uses GPT-powered natural language processing with customer-specific intent training that is proprietary to LimeChat's AI infrastructure. These trained intent models cannot be exported as portable files or deployed to Intercom's Fin AI Agent. We extract intent definitions as plain-text labels and trigger phrases during migration, but the customer must retrain or recreate NLP models in Fin using Intercom's Knowledge Hub. This is a significant rebuild effort for teams with complex bot dialogue trees.

  • LimeChat export reliability affected by documented software bugs

    G2 reviews document LimeChat chatbot glitches and WhatsApp broadcasting issues that occasionally cause data inconsistency during normal operation. These same bugs affect bulk export reliability, particularly for large conversation histories and CSV uploads. We run pre-migration validation checks on export batches, cross-reference mobile and desktop data sources, and request manual re-export for any corrupted or truncated conversation threads. Customers with over 50,000 conversations should plan for staged export batches.

  • Intercom's API rate limits require campaign disablement during migration

    Intercom operates under API limits that regulate the number of requests processed over time. Automated email campaigns and active Outbound messages contribute to this limit and can slow or block data migration requests. Help Desk Migration documentation recommends disabling active automated campaigns before initiating data migration. We coordinate with the customer to pause Outbound campaigns during the import window and re-enable them post-migration.

  • Intercom Fin AI cannot query custom attributes directly

    Intercom's Fin AI Agent has limitations documented in the platform's developer documentation: it cannot query custom attributes directly, and overly large or unstructured API payloads cause hallucination risk. If the LimeChat migration brings complex custom attributes or large conversation histories into Intercom, Fin's initial performance may be degraded until the Knowledge Hub is properly structured. We flag this during scoping and recommend a phased Fin training approach after migration rather than expecting immediate AI resolution at cutover.

Migration approach

Six steps for a successful LimeChat to Intercom data migration

  1. Discovery and data inventory

    We audit the LimeChat portal to inventory conversation volume, customer record count, active campaign records, bot flow count and complexity, product catalog size, and tag taxonomy. We pair this with an Intercom workspace readiness check: verifying Ticket attributes are enabled, confirming the plan tier (Essential, Advanced, or Expert) to understand Fin AI availability, and checking existing Intercom tags and custom attributes for naming conflicts. The discovery output is a written migration scope with record counts per object, a WABA re-verification timeline estimate, and a bot flow rebuild scope summary.

  2. WhatsApp Business Account transfer coordination

    We initiate the Meta WABA transfer request with LimeChat's Meta partnership credentials and Intercom's Meta partnership credentials simultaneously. This step requires the customer's WABA admin access and can take 2-4 weeks depending on Meta's verification queue. We schedule this step at the start of the engagement so that the WABA transfer is in progress during data extraction, rather than sequenced after data migration is complete. The customer must plan for WhatsApp campaign suspension during the verification window.

  3. Data extraction and validation from LimeChat

    We extract LimeChat conversation threads, customer profiles, campaign records, bot flow logic, and helpdesk tickets via LimeChat's export APIs. For accounts with over 50,000 conversations, we implement staged batch extraction to avoid timeout and truncation issues. We run pre-migration validation checks comparing export batch counts against LimeChat's reported totals, cross-referencing mobile and desktop data sources for completeness. Any corrupted or truncated records are flagged and re-exported before transformation begins.

  4. Schema mapping and Intercom workspace configuration

    We map LimeChat objects to Intercom objects: Conversations to Intercom Conversations, Customers to Contacts, Campaigns to Outbound Campaigns, Helpdesk Tickets to Conversations with Ticket attributes, and Products to Intercom Products. We pre-create any missing custom attributes in Intercom, resolve tag naming conflicts, and configure default assignment settings for unassigned conversations. Bot flow logic exports as structured JSON and plain-text intent inventories for Intercom Workflow rebuild.

  5. Sandbox migration and reconciliation

    We run a full migration into a test environment using production-like data volume. The customer's team reconciles record counts per object, spot-checks 20-30 random conversations for message fidelity and threading, and validates contact custom attributes against the LimeChat source. Tag taxonomy is verified for completeness. Any mapping corrections occur in this phase before production migration begins.

  6. Production migration and bot flow handoff

    We run production migration in dependency order: Contacts (with phone validation disabled), Products, Campaigns, Helpdesk Tickets, and Conversation history. Bot flow inventories are delivered as written documents with plain-text trigger descriptions, conditions, and actions mapped to Intercom Workflow, Custom Bot, and Rule equivalents. Fin AI Agent knowledge training plan is delivered separately. We support a three-day hypercare window for reconciliation issues. Post-migration admin and workflow rebuild are outside standard scope.

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
Intercom logo

Intercom

Destination

Strengths

  • Integrated AI agent (Fin) for automated resolution with per-resolution billing that rewards high automation rates.
  • Multi-channel inbox consolidating live chat, email, SMS, WhatsApp, and Phone into a single threaded view.
  • Native help center with articles, collections, and self-service deflection capabilities.
  • Workflow automation for routing, qualification, and proactive outbound messaging across channels.
  • Strong API ecosystem with 10,000 req/min rate limits for private apps enabling high-throughput migration pipelines.

Weaknesses

  • Pricing model compounds with seat count, AI resolution fees, channel costs, and multiple add-ons, making total cost hard to predict.
  • Workspace-level isolation prevents moving workflows or content between environments, requiring manual rebuilds.
  • S3 JSON export deliberately excludes conversation transcripts, necessitating REST API calls for full message history.
  • Outages are reported as frequent enough to be a concern for always-on support operations.
  • Setup complexity means teams often require internal guidance or professional services to configure bots and automation correctly.

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 LimeChat and Intercom.

  • 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

    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 Intercom 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 LimeChat to Intercom data migrations

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

Can't find your answer?

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Most migrations land between two and four weeks for accounts under 10,000 conversations with no complex bot flows. Migrations with high conversation volume (over 50,000 threads), multiple campaign records requiring audience segment reconstruction, or complex bot flows requiring detailed Intercom workflow design extend to five to eight weeks because of the WhatsApp Business Account re-verification window, staged export batches, and bot flow inventory documentation work.

Adjacent paths

Related migrations to explore

Ready when you are

Move from LimeChat.
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