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Migrate from Freshchat to Kayako with precision & ease

A seamless, customizable migration solution for moving your Freshchat data with perfect fidelity and minimal disruption.

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Last updated August 2026

Freshchat
Kayako
MIGRATION OVERVIEW

Why teams migrate from Freshchat to Kayako

The core problem
No native migration path exists between Freshchat and Kayako; all data must be extracted via the Freshchat REST API v2, transformed, and loaded into Kayako via its REST API v1 bulk import endpoint (POST /api/v1/bulk/cases). The two platforms have fundamentally incompatible data models: Freshchat is conversation-centric, storing interactions as Conversations containing streams of Messages with no subject lines, while Kayako is case-based, requiring each Case to carry a subject, department, status, priority, and type. This mismatch requires custom transformation logic including synthesizing subject lines from message content, flattening rich Freshchat message_parts arrays into HTML or plain text, and mapping Freshchat actor types (bot, system) to placeholder Kayako user accounts. For large datasets, the extraction phase alone is the primary bottleneck due to Freshchat's N+1 query pattern and 50-messages-per-page API cap, with a 15,000-conversation dataset requiring an estimated 5–9 days of total pipeline runtime.
Why this matters for your migration
KEY CHALLENGES

What makes this migration complex

These are the architectural mismatches and technical hurdles specific to a Freshchat to Kayako migration.

Most Critical

N+1 Extraction Query Pattern

Freshchat's conversations list endpoint returns only metadata, requiring a separate paginated API call (capped at 50 messages per page) for every individual conversation to retrieve actual message content, resulting in thousands of sequential API requests that dominate total runtime.

Blocks all downstream imports if mapped wrong

Subject Line Synthesis Required

Freshchat has no concept of a ticket subject, so a subject must be programmatically generated for every Kayako case by truncating the first text content found in the conversation's message_parts array to approximately 50 characters.

Rich Message Part Flattening

Freshchat messages can contain structured UI elements such as carousels, buttons, quick-reply options, and collection cards within the message_parts array, all of which must be serialized into readable plain-text or HTML fallbacks since Kayako posts do not support interactive components.

Bot and System Actor Remapping

Kayako posts require a creator_id referencing a pre-existing Kayako user, but Freshchat messages can originate from bot or system actor types that have no direct Kayako equivalent, necessitating a designated placeholder user account for all non-human messages.

Time-Limited Attachment URLs

Freshchat attachment URLs embedded in message payloads are signed and time-limited, requiring all binary assets to be downloaded and stored locally or in object storage during the extraction phase before the URLs expire and become inaccessible.

Dual User Roster Merge

Freshchat maintains entirely separate API endpoints for contacts and agents (GET /v2/contacts and GET /v2/agents), both of which must be fetched independently and merged into a unified freshchat_id → type → kayako_id lookup table before any transformation can begin.

COMPLETE COVERAGE

Intelligent Human-Verified Data Mapping

Our migration engineer precisely maps every data point from Freshchat to Kayako, ensuring perfect continuity for your customer support operations.

Freshchat
Kayako
Conversations
Conversations
Messages
Messages
Contacts (Users)
Users
Agents
Agents
Groups
Teams
Labels
Conversation Tags
Attachments
Attachments
FAQs
Help Center Articles
FAQ Categories
Help Center Categories
Canned Responses
Not Available
Topics
Help Center Sections

Looking for more entity mappings?

Contact our team
MIGRATION RISK ASSESSMENT

Every migration risk, already solved

Migration between platforms is full of edge cases. Our engineers have identified every risk from Freshchat to Kayako and built proven solutions for each one.

High complexity
  • Messages / Posts
    The 50-messages-per-page pagination cap forces an N+1 query pattern that severely inflates extraction time and risk of data gaps from rate-limit backoff events or interrupted runs on large conversation threads.
    Solved
  • Attachments
    Freshchat attachment URLs are signed and time-limited with an undocumented TTL, meaning any attachment not downloaded during extraction will be permanently inaccessible if the URL expires before the load phase.
    Solved
  • Bot and System Messages
    Bot and system actor messages have no valid Kayako user equivalent and must be remapped to a placeholder account, risking loss of attribution context and potential confusion in migrated case histories.
    Solved
Custom engineering
  • Conversations / Cases
    One-to-one mapping of Freshchat conversations to Kayako cases is structurally sound, but requires synthesized subject lines and correct department, status, priority, and type fields that have no direct source equivalents in Freshchat.
    Handled
  • Contacts
    Contacts must be extracted from a separate endpoint than agents and pre-mapped to Kayako requester accounts before case import, and multi-channel contacts with multiple conversation threads must not be incorrectly deduplicated.
    Handled
  • Message Rich Content
    Structured Freshchat message elements such as buttons, carousels, and quick-reply options cannot be represented in Kayako posts and will be reduced to plain-text serializations, resulting in degraded fidelity for bot-driven or interactive conversations.
    Handled
  • Conversation Status
    Freshchat's four status values (new, assigned, waiting, resolved) must be mapped to Kayako's status model, which may have a different set of valid values requiring a defined transformation ruleset.
    Handled
  • Historical Data Completeness
    The Freshchat raw reports API restricts extraction to data within the last 15 months and limits Chat-Transcript exports to 24-hour windows, meaning conversations older than 15 months may be inaccessible via the reports path and require the slower per-conversation messages API.
    Handled
Clean transfer
  • Agents
    Agent data is retrievable from a dedicated endpoint and maps relatively cleanly to Kayako agent accounts, though agents must be pre-created in Kayako before case import references their IDs.
    Clean
  • Conversation Timestamps
    Kayako's bulk import endpoint accepts historical created_at and updated_at timestamps on both cases and posts, making accurate timestamp preservation feasible without custom workarounds.
    Clean
What Our Customers Say

Real migration stories

See all customer stories →
CUSTOM MIGRATION

Fully customizable engineer-led migration

Tailor your migration from Freshchat to Kayako exactly to your needs with our flexible customization options. Our experts will configure the perfect migration plan for your business.

Migration Filters

Conversation Type

Filter by chat, email, or social media conversations

Tag-Based Selection

Migrate tickets with specific tags only

User Selection

Migrate tickets for specific users or agents

Time Range

Migrate tickets from a specific time period

Data Types

Tickets & Conversations

Full conversation history with all metadata

Automations & Macros

Workflows, templates, and automation rules

Knowledge Base

Articles, categories, and help center content

Customer Profiles

Customer information and interaction history

ZERO DOWNTIME

Your timeline. Our engineers.

A dedicated engineer runs your migration, planned around your schedule and your data.

No babysitting a wizard. Avoid debugging errors yourself.

Looking for a more detailed migration timeline?

Contact our team

Speed

The migration timeline depends on both our turnaround time and yours.

We can complete a migration in under a day when the accounts are connected and the sample migration is approved promptly.

Background Sync

We also support migrating the newest records first, so you can go live faster while the rest of the data is synced in the background.

Data Volume Impact

Larger data volumes may require longer migration windows.

Continuous Operation

Weekend migrations minimize disruption to your customer service operations.

MIGRATION TIMELINE

Your Freshchat to Kayako migration, step by step

See how long your migration will take from start to finish. Drag the slider to estimate based on your data volume.

How many records are you migrating?

<10K 50K 100K 250K 500K 1M 2M 5M 10M+
Checklist ~3 days
Sample 1 day
Review ~2 days
Full 2 days
Delta 1 day
Your team ClonePartner

Estimated total

~9 business days

1

Migration Checklist

1 day · ClonePartner ~2 days · Your team

We prepare the optimal data mapping as a shareable spreadsheet. Your team reviews, approves, and adds any customizations.

2

Sample Migration

1 day · ClonePartner

We run a test migration with a representative sample of your data to verify mapping accuracy and identify any potential issues before the full run.

3

Review & Approve

~2 days · Your team

Your team reviews the sample migration results, confirms data accuracy and mapping, and gives the go-ahead for the full migration.

4

Full Migration

2 days · ClonePartner

We execute the complete migration of all your data to your new Kayako, with real-time progress tracking and comprehensive logging.

5

Delta Migration

1 day · ClonePartner

We capture and transfer any new data that was added or updated during the main migration to ensure no data is lost. This final sync keeps everything current.

Related Guides

Pros and cons of different migration options

Choosing the right approach is key because migrating from Freshchat to Kayako isn't just about moving data – it's about protecting customer relationships.

Feature / Criteria ClonePartner Automated Tools CSV Import In-house migration
Custom Scripting for complex data ✓ Engineers build & maintain ✗ No ⚠ Manual ✓ Yes – but costly
Sandbox & Pilot Migrations ✓ Full sandbox + pilot plans ⚠ Limited ✗ No ⚠ Often Informal
Manual validation & reconciliation ✓ Automated + manual QA ✗ No ✓ Yes (Manual) ✓ Heavy manual effort
Backup & rollback plan ✓ Robust procedures ✗ No ✗ No ⚠ Often incomplete
Handles automation and integrations ✓ Full support ⚠ Partial ✗ No ⚠ Possible but fragmented
Post-migration engineer support ✓ Dedicated engineers ✗ No ✗ No ⚠ Limited SLA
Adaptable to API changes ✓ Proactive adaptation ✗ No ⚠ Manual fixes ⚠ Slower response
Turnaround / SLA predictability ✓ Predictable SLAs ⚠ Fast but brittle ⚠ Slow and manual ⚠ Often slower
Data Security & Compliance ✓ High – enterprise grade ⚠ Medium (depends) ⚠ Low (manual) ⚠ Hidden gaps common
Pricing predictability ✓ Transparent & fixed ⚠ Low (per-job) ⚠ Low (manual hours) ⚠ High/variable OPEX
End-to-end project management ✓ Full E2E delivery & PM ✗ No ✗ No ⚠ Often partial
Business impact & opportunity cost ✓ No diversion of staff ✗ No ✗ No ⚠ Diverts engineering

What does an Engineer-led migration mean anyway?

Speed & Accuracy: Our Blended Method

We blend automation (smart scripts, bulk APIs) with human expertise for speed without risk. Our engineers manually check every mapping, validation, and exception.

You get:

  1. Speed of automation for bulk record migration
  2. Precision of engineers verifying integrity and business logic
  3. Pilot migrations and sandbox testing to catch issues early
  4. Real-time validation reports and rollback readiness
Result: 50x faster migrations than manual imports — with near-zero error rates.

Handling the Tricky Tech and API Details

The Freshchat and Kayako APIs each behave differently, which is where our engineers shine. We build custom logic to handle the data quirks where generic tools typically break.

We handcraft API logic for:

  1. Field mapping and transformation
  2. Pagination, rate-limit handling, and throttling
  3. Preserving conversation threads, attachments, and internal notes
  4. Syncing custom fields, SLAs, and macros without breaking structure
Our scripts: Natively retry failed calls, re-queue large attachments, and ensure data parity.

No Guesswork

We don't just promise smooth migrations—we measure and prove them. Every client receives a Migration Validation Report with all metrics.

Typical results across projects:

  1. 100% record-count parity between your Freshchat data and Kayako
  2. Zero downtime during staged cutovers
  3. 99.9% attachment integrity (verified via checksum)
  4. Full automation and preservation of all business rules
Our standard: Includes full SLA preservation and 30 days of engineer-assigned support post go-live.

We Adapt to Your Setup (Not the Other Way Around)

No two teams configure Freshchat or Kayako exactly the same way—with unique automations and data. We customize every migration script to fit your exact workflow, tags, and triggers.

Our engineers adapt for:

  1. Custom fields, ticket forms, and workflows
  2. Multi-brand or multi-language setups
  3. Historical imports and partial (date-based) migrations
  4. Integration re-mapping for CRMs, chat, or feedback tools
The promise: If your data doesn't fit a standard template, we build one just for you.

Enterprise-Grade Security & Compliance

Your customer data is precious. Our migration process maintains the highest standards of security and regulatory compliance.

SOC 2 Type II

Independently audited compliance with rigorous security standards

ISO 27001

Certified information security management system

GDPR

Full compliance with EU data protection regulations

HIPAA

Certified for handling protected health information

AES-256 Encryption

Bank-grade encryption for all stored credentials

Latest TLS

Secure transfer protocol for all data in transit

Role-Based Access

We follow role-based access control for every migration project

Scheduled Deletion

Automatic data purging after migration completion

FAQ

Frequently Asked Questions

Everything you need to know about migrating from Freshchat to Kayako. Can't find what you're looking for? Talk to our team.

Still have questions?

Book a free 30-minute consultation with our team.

Contact our team

Before you start

5 questions
Do I need professional help for this migration?
Yes. Professional help ensures proper field mapping and preservation of relationships between records. Our engineer-led approach catches edge cases that automated tools miss.
Does ClonePartner provide guidance before committing?
Yes. We provide a free consultation and assessment. We'll review your data structure, discuss your requirements, and provide a detailed migration plan and fixed-price quote before you commit to anything.
Do you use an off-the-shelf tool to migrate from Freshchat to Kayako, or is this built for our data?
It is built for your data. Each migration is a set of custom scripts written for your data model, not a generic import tool. That is also why we start with a sample migration: you see your own records in Kayako before the full migration is committed.
Can we see a sample of our Freshchat data migrated to Kayako before the full migration runs?
Yes. We run a sample migration on your own data first, so you can review how your records look in Kayako before the full migration goes ahead. We run validation scripts to confirm the record counts match your source, and you check the sample against your source records; if a field is missing or mapped wrong, or anything else needs adjusting, we fix it in the migration scripts and re-run the sample as many times as you need. The full migration only runs after you've approved the sample. On projects delivered in phases, each phase gets its own sample migration for you to approve.
Do we need to keep our Freshchat account active during the migration?
Usually, yes. Keep it active until we confirm the migration is complete, including the final delta migration, because we read your data directly from your Freshchat account throughout the project. If your subscription is due to end mid-project, extending it to cover the migration window keeps everything on track, and we tell you when it is safe to cancel. If it has to close sooner, we can pull your data out before it closes and migrate from that copy.

Data & mapping

13 questions
Will the original assignees, message authors and created dates be preserved?
Yes. Created-time metadata is carried across, and so are assignees and message authors who have a user account in Kayako. Where Kayako cannot store one of them natively, it is kept as embedded metadata on the migrated record.
If the new system can't natively support an old record type, what are my options?
We handle it case by case. While mapping your data, we identify every record type without a direct counterpart in Kayako, review sample records from it and propose how it can be represented, based on what Kayako supports: map it to the closest native object, create a custom field or object, fold it into the parent record as text or a note, attach it as a file, or keep it in a read-only archive. You choose the approach, we write the migration scripts to place the data there, so it comes across in the form you choose instead of being left behind, and you see how it looks in a sample migration before we run the full set.
Will the migration set off automations or send emails or notifications to customers, our team or anyone else?
No. Before the sample or full migration starts, we confirm with you that nothing in Kayako will send messages about the migrated data: we import with notifications switched off wherever Kayako allows it, and either pause any automation that could send them for the migration window or give it a condition, such as a suppression tag, that skips migrated records, which lets your live automations keep running for new records. We only proceed once you have confirmed it. If you want anyone told about the move, that message is sent separately, once the migrated data has been checked.
Can you migrate data that Kayako can't take in through an API?
In many cases, yes. Where something can't be written through an API, we recreate it through Kayako's user interface where the interface allows it, and where that work is repetitive we script and automate it. We tell you up front which items are handled this way, because recreating them through the interface can add time to the schedule.
What happens if Kayako requires fields our Freshchat data doesn't have?
We check the destination for required fields your source data cannot fill and bring each one to you before those records are migrated. Together we agree how each one is handled, such as a mapping from an existing field, a default value, or, where Kayako lets that field be made optional, setting it to not required for the migration so you can make it required again once the migration is complete. The migration then runs with that rule applied, so no records are rejected or left behind.
How will we tell migrated records apart from the ones already in Kayako?
We can mark every migrated record in Kayako, for example with a custom checkbox field such as "Migrated from Freshchat", so your team can tell migrated data apart from records created there. We agree the marker with you during scoping so it fits how your team uses Kayako.
Do internal notes and system-generated notes from Freshchat migrate to Kayako, or only customer-facing replies?
Internal notes can come across, and so can system-generated notes where Freshchat's API makes them available. During scoping you choose which notes to include, so Kayako holds the history your team will actually use.
We use a lot of custom fields in Freshchat. Can you map them to Kayako?
Where Kayako has a place for them, yes. Each migration is a custom script written for your project, so your custom fields and structure are mapped to Kayako's model rather than forced through an import template. Where field types differ, such as a value stored as text in Freshchat that Kayako needs as a number, the script converts it. We agree the mapping with you and prove it on a sample migration before the full run.
Can you combine data from Freshchat and other support tools into one Kayako account?
Yes. Each tool's data is extracted separately and written into the same Kayako account. How records from the different tools fit together is settled in the data mapping before the build. The sample migration includes data from every source, so you can check the combined result before the full run.
Do you migrate Freshchat live chat, SMS and messaging conversations, such as WhatsApp, to Kayako, and do they keep their original channel?
Yes. Chat conversations and messages from channels such as WhatsApp or Instagram are migrated as tickets alongside your email history, where Freshchat makes them available through its API or an export. Kayako may not let imported tickets keep every original channel: some platforms take most imported tickets in through a general API channel instead. So we keep the original channel wherever Kayako allows it, and can tag each ticket with its original one, such as chat, SMS or WhatsApp, so your team can still find and filter them. If an export leaves out the message content for some channels, we tell you and agree another way to retrieve it.
If we have Facebook and Instagram comments in Freshchat, will they keep the right author and show where they came from in Kayako?
Yes, as far as Freshchat records it. Each message is attributed to the author Freshchat's API reports, and messages from your team show under the right agent as long as that agent's account exists in Kayako before the tickets are migrated; otherwise they fall back to the default agent. We also carry over the message source in as much detail as the API provides, for example telling comments on Instagram posts apart from comments on Instagram ads.
What happens to a conversation in Freshchat that mixes email and chat messages if Kayako keeps those channels separate?
We agree the approach with you during scoping. One option is to split the conversation into a ticket for each channel, each carrying the same subject, tags and other details, so the two are easy to find together on the same customer. If you'd rather have a single thread, we confirm during scoping whether Kayako can hold it that way, and you check the result in the sample migration.
If we use a chatbot in Freshchat, do you migrate it and its conversation flows to Kayako, or only the conversations it handled?
We migrate the conversations it handled, not the chatbot itself. Every chat conversation the bot took part in comes across with your ticket history, while the chatbot's own setup isn't migrated as data and is set up again in Kayako where it offers one. Workflows and automation rules are a separate item, and the ones you have today can be recreated in Kayako as agreed during scoping.

Timeline & downtime

4 questions
How long does the Freshchat to Kayako migration take?
Most migrations complete within 1–5 business days, depending on data volume and complexity; very large migrations, such as several hundred thousand records, take longer. We provide a detailed timeline after the initial assessment and can often complete small migrations in under 24 hours.
Will there be downtime when migrating from Freshchat to Kayako?
No. Our migration process is designed for zero downtime. Freshchat stays fully operational throughout: the bulk migration runs in the background and the cutover is fast, so there is no disruption to your live business operations.
Our team has already started working in Kayako. Can we still migrate our Freshchat history?
Yes. We take the exact date, time and time zone your team went live as the cutoff, and migrate the history up to that point, so the work already done in Kayako is left as it is. That go-live moment separates the two systems' records, so we confirm it with you before anything runs.
Can we change fields or settings in Freshchat or Kayako while the migration is running, and is there anything we should switch off?
Mostly yes, and your team can keep working as normal, but leave the fields being migrated as they are, in Freshchat and Kayako, until the migration, including the final delta, is complete. The field mappings are set before the run starts, so hold off on renaming or removing those fields, and changing a migrated field's options, archiving it, or marking it as required or conditional can stop records from migrating. Where needed, and as agreed with you, we set the matching fields in Kayako to active, not required and not conditional for the duration of the migration. Other fields can be added or removed in the meantime. Also pause any AI agents, automations or rules in Kayako that could act on migrated records, so they don't fire on historical records as they arrive; if some must keep running for live work, we can instead agree a condition that makes them skip migrated records. Once the migration is complete, you can switch them back on, restore those field settings and rename fields freely.

Security & access

1 question
Can we whitelist a single IP instead of opening our network to your migration tool?
Yes. All migration traffic runs through a centralized system using one fixed IP, which your IT team can whitelist instead of opening broader network access.

Pricing

1 question
Is migration pricing a flat fee, or does it scale with data volume?
It's a flat fee with no hidden costs. The price we agree with you for your scope is the price you pay, and small variances in the final volume, a bit more or less, are included.

After go-live

5 questions
How do I validate that everything migrated correctly?
Every client receives a Migration Validation Report with comprehensive metrics including record-count comparison, attachment integrity verification via checksum, and full audit logs of the migration run, showing every record created, skipped or failed. If any item didn't come across, the report names each one, the specific reason, and how to bring it across if you want it there. We also offer unlimited sample migrations, so you can check your data before the full migration runs.
What support do you provide after the migration goes live?
At ClonePartner, we consider ourselves your partners in this journey. We take full accountability for your migration's success. Once your migration goes live, we provide 30 days of comprehensive post-migration support as standard, and longer support, such as 60 or 90 days, can be agreed for your project. During this period, we help with anything related to your migrated data, so your migration is a complete success.
Will we get a migration report and a mapping sheet linking old record IDs to new ones?
Yes. We provide a comprehensive migration report along with an ID-mapping sheet that links each old Freshchat record ID to its new ID in Kayako. This ensures full traceability, simplifies post-migration verification, and helps your team validate that records have been migrated accurately.
After migration, do I contact ClonePartner or the platform's own support if something looks wrong?
ClonePartner is the contact for anything about the migrated data itself. Questions about the platform itself, such as how its features and settings work, go to the platform's own support or to whoever administers it for you.
Can you keep our CRM updated with support activity after we move from Freshchat to Kayako?
Yes, where Kayako's API makes that activity available. We build an ongoing sync on Kayako's and your CRM's APIs that writes support activity to the right contacts and companies, and you decide what gets logged. It is a separate piece of work from the migration, scoped and priced on its own.

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Attention to Detail

We meticulously handle every aspect of your migration, ensuring no data is lost during transfer and mapping every field correctly between platforms.

Custom Solutions

Every business is unique. We tailor your migration strategy to match your specific requirements, workflows, and data structures.

Security & Compliance

Your customer data is handled with enterprise-grade security protocols, ensuring compliance with GDPR, HIPAA, and industry standards.