Migrate your LimeChat data
AI-powered WhatsApp commerce platform for D2C e-commerce brands combining chatbot support, marketing automation, and a lightweight CRM in one suite.
In its favor
Why people choose LimeChat
The signal that keeps LimeChat on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
WhatsApp-native commerce platform trusted by 300+ Indian D2C brands including Mamaearth and HUL, making it a low-friction choice for e-commerce teams already invested in the WhatsApp channel.
GPT-powered chatbots enable human-level customer support conversations without requiring large support teams, directly reducing customer acquisition costs for fast-growing D2C brands.
Combines helpdesk, WhatsApp marketing, and CRM in a single platform, reducing the need for multiple point solutions for teams with limited technical resources.
2-way WhatsApp campaigns allow brands to run personalised marketing without the spam perception associated with broadcast-only tools, improving retention for checkout-abandoned carts.
Established India presence with local support infrastructure, making it a practical choice for D2C brands operating primarily in the Indian market.
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.
Reasons to switch
Why people leave LimeChat
The recurring reasons buyers give for replacing LimeChat. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where LimeChat fits
Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.
SWOT — strengths, weaknesses, and use-case fit
Strengths
Weaknesses
Where it works
Where it struggles
Pricing tiers
LimeChat pricing overview
LimeChat uses a per-user monthly pricing model starting at $19/user/month, with costs scaling based on conversation volume and AI automation tier. Higher tiers require custom quotes, making it difficult to estimate total cost without a sales conversation.
Starter
Tier 1 of 3
$19/user/month
What's included
Need help selecting your Helpdesk?
Book a free 30 minute consultationPricing is informational. FlitStack AI does not bill on LimeChat's schedule — see our quote-based pricing →
What gets migrated
LimeChat object support
Object-by-object support for LimeChat migrations. Per-pair details surface during scoping.
Conversations
Mapping requiredLimeChat stores WhatsApp conversation threads with message metadata, customer identifiers, and agent attribution. We extract full conversation history including timestamps and resolve message-type schemas between platforms, noting that media attachments may require separate export handling.
Customers
Mapping requiredCustomer profiles in LimeChat include contact details, WhatsApp identifiers, and interaction history. We map these to destination CRM contacts and preserve custom fields, though WhatsApp-specific metadata (Opt-in status, WhatsApp Business ID) requires explicit field-level migration.
Campaigns
Mapping requiredMarketing campaigns in LimeChat include targeting rules, message templates, and send schedules. We preserve campaign structure and audience segments, noting that WhatsApp template message formats may need reformating in non-WhatsApp destinations.
Automation Flows
Mapping requiredBot flows define trigger conditions, decision trees, and response actions. We extract flow logic as structured data, but complex branching rules may require simplification or manual reconstruction at the destination.
Bot Configurations
Mapping requiredBot settings include NLP intent definitions, entity extraction rules, and handoff configurations. We export intent mappings and response templates, though platform-specific AI model settings do not transfer across different AI providers.
Helpdesk Tickets
Fully supportedTicket records include issue descriptions, status, assigned agents, and conversation linkage. Standard ticket fields migrate cleanly; custom ticket fields are mapped individually during scoping.
Products
Mapping requiredProduct catalog integration allows bots to surface product information during conversations. We extract product SKUs, names, and pricing, noting that full catalog sync requires destination e-commerce integration.
Tags
Fully supportedContact and conversation tags used for segmentation and workflow triggers migrate as label arrays, preserving all tag names and their associations to individual records.
Click-to-WhatsApp Ads
Mapping requiredAd configuration and associated campaign attribution data are exported, though the actual Meta ad account linking requires reconnection at the destination platform.
Conversation Analytics
Not in this platformAggregated analytics and reporting metrics are derived data rather than raw records. We do not migrate pre-computed dashboards; customers rebuild reports from migrated conversation data in their new platform.
| Object | Support | Notes |
|---|---|---|
| Conversations | Mapping required | LimeChat stores WhatsApp conversation threads with message metadata, customer identifiers, and agent attribution. We extract full conversation history including timestamps and resolve message-type schemas between platforms, noting that media attachments may require separate export handling. |
| Customers | Mapping required | Customer profiles in LimeChat include contact details, WhatsApp identifiers, and interaction history. We map these to destination CRM contacts and preserve custom fields, though WhatsApp-specific metadata (Opt-in status, WhatsApp Business ID) requires explicit field-level migration. |
| Campaigns | Mapping required | Marketing campaigns in LimeChat include targeting rules, message templates, and send schedules. We preserve campaign structure and audience segments, noting that WhatsApp template message formats may need reformating in non-WhatsApp destinations. |
| Automation Flows | Mapping required | Bot flows define trigger conditions, decision trees, and response actions. We extract flow logic as structured data, but complex branching rules may require simplification or manual reconstruction at the destination. |
| Bot Configurations | Mapping required | Bot settings include NLP intent definitions, entity extraction rules, and handoff configurations. We export intent mappings and response templates, though platform-specific AI model settings do not transfer across different AI providers. |
| Helpdesk Tickets | Fully supported | Ticket records include issue descriptions, status, assigned agents, and conversation linkage. Standard ticket fields migrate cleanly; custom ticket fields are mapped individually during scoping. |
| Products | Mapping required | Product catalog integration allows bots to surface product information during conversations. We extract product SKUs, names, and pricing, noting that full catalog sync requires destination e-commerce integration. |
| Tags | Fully supported | Contact and conversation tags used for segmentation and workflow triggers migrate as label arrays, preserving all tag names and their associations to individual records. |
| Click-to-WhatsApp Ads | Mapping required | Ad configuration and associated campaign attribution data are exported, though the actual Meta ad account linking requires reconnection at the destination platform. |
| Conversation Analytics | Not in this platform | Aggregated analytics and reporting metrics are derived data rather than raw records. We do not migrate pre-computed dashboards; customers rebuild reports from migrated conversation data in their new platform. |
Gotchas
What to watch for in LimeChat migrations
Issues we've hit on past LimeChat migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
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
| Severity | Issue |
|---|---|
| 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 |
Leaving LimeChat?
Where LimeChat customers move next
7 destinations LimeChat can migrate to.
How a LimeChat migration works
Four steps, LimeChat-specific
Connect
Not publicly documented into LimeChat. Scopes limited to read-only on the data we move.
Map
We translate LimeChat-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate LimeChat quirks before production.
Migrate
Full migration with LimeChat rate-limit handling. Rollback available throughout.
FAQ
LimeChat migration FAQ
Answers to the questions buyers ask most during LimeChat migration scoping. Not seeing yours? Book a call.
Can't find your answer?
Walk through your LimeChat migration with a real engineer — 30 minutes, free, written quote within 24 hours.
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Ready when you are
Migrate LimeChat.
Without the rebuild.
Free scoping call with a migration engineer. Tell us about your LimeChat setup and destination — written quote back within a business day.