Helpdesk migration
Field-level mapping, validation, and rollback between LimeChat and Intercom. We move data and schema; workflows are rebuilt natively in Intercom.
LimeChat
Source
Intercom
Destination
Compatibility
5 of 10
objects map 1:1 between LimeChat and Intercom.
Complexity
CModerate
Timeline
2-4 weeks
Overview
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.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
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
Intercom
Conversation
1:1LimeChat 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
Intercom
Contact (People)
1:1LimeChat 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
Intercom
Outbound Campaign
lossyLimeChat 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
Intercom
Workflow (Bot, Operator, Custom Bot)
lossyLimeChat 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
Intercom
Fin AI Agent + Help Center Articles
lossyLimeChat 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
Intercom
Conversation with Ticket Attributes
1:1LimeChat 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
Intercom
Product
1:1LimeChat 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
Intercom
Tag
1:1Contact 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
Intercom
Campaign + User attribution
lossyClick-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
Intercom
Report (rebuilt)
lossyAggregated 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.
| LimeChat | Intercom | Compatibility | |
|---|---|---|---|
| Conversations | Conversation1:1 | Mapping required | |
| Customers | Contact (People)1:1 | Mapping required | |
| Campaigns | Outbound Campaignlossy | Mapping required | |
| Automation Flows | Workflow (Bot, Operator, Custom Bot)lossy | Mapping required | |
| Bot Configurations | Fin AI Agent + Help Center Articleslossy | Mapping required | |
| Helpdesk Tickets | Conversation with Ticket Attributes1:1 | Fully supported | |
| Products | Product1:1 | Mapping required | |
| Tags | Tag1:1 | Fully supported | |
| Click-to-WhatsApp Ads | Campaign + User attributionlossy | Mapping required | |
| Conversation Analytics | Report (rebuilt)lossy | Not supported |
Gotchas + challenges
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 gotchas
Conversation-volume pricing tier affects migration scoping
WhatsApp Business Account verification is platform-locked
Bot NLP intent models do not transfer across AI providers
Software bugs affect conversation export reliability
Mobile app data may be incomplete compared to desktop
Intercom gotchas
S3 JSON export omits conversation transcripts
Workspace isolation prevents workflow migration
Fin AI resolution fees compound with automation success
Two-year conversation history limit on historical export
Private app rate limits share workspace quota
Pair-specific challenges
Migration approach
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.
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.
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.
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.
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.
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
LimeChat
Source
Strengths
Weaknesses
Intercom
Destination
Strengths
Weaknesses
Complexity grading
Moderate Helpdesk migration. 3 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across LimeChat and Intercom.
Object compatibility
3 of 7 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
LimeChat: Not publicly documented.
Data volume sensitivity
LimeChat doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
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FAQ
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