Helpdesk migration

Migrate from Hiver to Freshdesk

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

Hiver logo

Hiver

Source

Freshdesk

Destination

Freshdesk logo

Compatibility

92%

11 of 12

objects map 1:1 between Hiver and Freshdesk.

Complexity

BStandard

Timeline

1-2 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Hiver to Freshdesk requires translating a Gmail-thread-centric data model into a standalone ticket system. Hiver structures every customer interaction as a Conversation inside a Shared Inbox, tied to Gmail threads by subject and participant. Freshdesk uses Tickets as the primary object, organized by Groups and Products rather than Shared Inboxes, with a separate Contact and Company model. We extract Conversations with assignee, status, tags, and Shared Notes, then map each Shared Inbox to a Freshdesk Group or Product category depending on the customer's routing structure. Hiver's Automation rules have no export path and must be manually reconstructed; we deliver a written inventory of every rule during scoping. Email Templates export cleanly; Shared Drafts require destination-side confirmation of draft acceptance. Freshdesk's API rate limits (200 calls per minute on Growth, 400 on Pro, 700 on Enterprise) govern import speed and require batch chunking on large histories. We do not migrate Automations, Workflows, or reporting dashboards as code.

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

Hiver logo

Hiver

What's pushing teams away

  • The reporting module is shallow compared to standalone helpdesk platforms — teams that graduate to needing multi-dimensional analytics, custom dashboards, or historical SLA trending find Hiver's native reports insufficient.
  • Performance inconsistencies appear when opening emails that do not pull the Hiver overlay correctly, frustrating agents who rely on instant context switching inside Gmail.
  • Teams that need multi-channel support beyond email and WhatsApp find Hiver's channel coverage limited — live chat, phone, and social channels are either absent or require third-party integrations.
  • When migrating away, the lack of a bulk automation export means every Automation rule must be manually reconstructed in the destination platform, making the migration project significantly larger than expected.

Choosing

Freshdesk logo

Freshdesk

What's pulling them in

  • Free tier for 1-2 agents with no credit card makes initial evaluation risk-free and appeals to startups and small support teams.
  • Per-agent pricing is predictable and scales cleanly as teams grow from Growth at $15/agent/month to Enterprise at $89/agent/month.
  • Freddy AI Copilot and Email AI Agent bring AI assistance without forcing a full platform switch, appealing to teams already embedded in Freshdesk.
  • Multilingual help desk and customer portal features serve global SMB teams without requiring enterprise-level investment.
  • Collaborators up to 5,000 included in paid plans allow non-agent stakeholders to view tickets without additional licensing cost.

Object mapping

How Hiver objects map to Freshdesk

Each row shows how a Hiver object lands in Freshdesk, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Hiver

Conversation

maps to

Freshdesk

Ticket

1:1
Fully supported

Hiver Conversations map to Freshdesk Tickets. Each Conversation thread inside a Shared Inbox becomes a Ticket with the Gmail thread subject preserved as Ticket Subject, assignee mapped from Hiver assignee to Freshdesk agent_id, and status translated from open/pending/closed to open/pending/resolved respectively. The original Hiver conversation ID is stored in a custom field for reconciliation. Shared Notes attached to the Conversation migrate as internal Ticket Notes visible to agents but not the requester.

Hiver

Shared Inbox

maps to

Freshdesk

Group or Product

lossy
Fully supported

Hiver Shared Inboxes are top-level containers without a direct Freshdesk equivalent because Freshdesk organizes by Group, Product, or both. During scoping we confirm whether the customer's Shared Inbox structure maps to Freshdesk Groups (agent routing), Products (product-category routing), or a combination. Each Shared Inbox becomes one or more Freshdesk Group or Product entries, and Conversations inherit the mapping from their source Inbox. This is a manual configuration decision confirmed with the customer before migration.

Hiver

Contact

maps to

Freshdesk

Contact

1:1
Fully supported

Hiver Contact records export as a discrete data type and map directly to Freshdesk Contact. The email address is the dedupe key. If the same contact appears both as a standalone Hiver Contact and within Conversation thread metadata, we deduplicate by email and carry forward the most recent name, phone, and company values. Any contact without an email address is held in a manual review queue because Freshdesk requires email for Contact creation.

Hiver

Tag

maps to

Freshdesk

Tag

1:1
Fully supported

Hiver tags applied at the Conversation level export as flat labels and map directly to Freshdesk Tags. Tag names and character casing are preserved exactly. If the customer uses tags as a routing signal, we recommend confirming during scoping that the tag taxonomy maps cleanly to Freshdesk's tag model, which supports multi-value tagging on Tickets but not at the Contact or Company level by default.

Hiver

Shared Note

maps to

Freshdesk

Internal Note

1:1
Fully supported

Shared Notes are internal comments attached to Hiver Conversations and visible to all team members. They map to Freshdesk internal notes on the corresponding Ticket. We confirm with the customer during scoping whether any Shared Notes should be migrated as public Replies instead of internal Notes, since platforms interpret note visibility differently. The author and timestamp of each Shared Note are preserved on the Freshdesk note record.

Hiver

Email Template

maps to

Freshdesk

Email Template

1:1
Fully supported

Hiver Email Templates export as discrete objects with body, subject, and variable placeholders intact. We import them into Freshdesk Templates using the Freshdesk v2 API. Template body HTML and any conditional logic written in Hiver's template syntax require review in Freshdesk's template editor because the variable syntax differs between platforms.

Hiver

Shared Draft

maps to

Freshdesk

Draft

1:1
Fully supported

Hiver Shared Drafts are unsent email replies saved within Conversations. We export them as draft records. Freshdesk's API supports draft creation via the Reply endpoint with draft=true, but bulk draft import is not guaranteed across all Freshdesk tiers. We confirm draft acceptance during the scoping demo and flag any draft records that cannot be imported so the customer can decide whether to recreate them manually.

Hiver

Agent

maps to

Freshdesk

Agent

1:1
Fully supported

Hiver Agent records (name, email, group membership) map to Freshdesk Agent records by email match. Agent group assignments in Hiver's Shared Inbox model translate to Freshdesk Group membership. Any Hiver agent without a matching Freshdesk agent is placed in a reconciliation queue for the customer's Freshdesk admin to provision before record import begins.

Hiver

SLA Policy

maps to

Freshdesk

SLA Policy

1:1
Fully supported

Hiver SLA policies define business hours and response and resolution deadlines enforced at the Shared Inbox level. We extract the SLA configuration and map it to Freshdesk SLA Policies, which can be applied at the Ticket, Contact, or Account level. Multi-timezone SLA policies in Hiver require confirmation that Freshdesk's business hours configuration supports the same timezone coverage.

Hiver

Custom Field

maps to

Freshdesk

Custom Field

1:1
Fully supported

Hiver custom fields on Conversations (such as order IDs populated by AI Extract) export as structured data with field name and value. We map each Hiver custom field to a Freshdesk Custom Field of equivalent type: text fields to text, dropdowns to dropdown, numeric values to number fields. We pre-create all custom fields in Freshdesk before migration so the Ticket import can populate them directly.

Hiver

CSAT Survey Response

maps to

Freshdesk

Satisfaction Rating

1:1
Fully supported

CSAT survey responses tied to resolved Hiver Conversations export with score, response text, and associated Conversation ID. We map them to Freshdesk Satisfaction Ratings on the corresponding migrated Ticket. Survey configuration (questions, rating scale) does not migrate; we document the original Hiver survey setup so the customer's admin can configure equivalent satisfaction surveys in Freshdesk.

Hiver

Analytics Report (CSV)

maps to

Freshdesk

Report

1:1
Fully supported

Hiver's CSV analytics export is forward-looking only — it captures report data from the export date forward and does not backfill historical SLA, CSAT, or volume metrics. We extract whatever CSV data is available and deliver it alongside the migration. The customer should download any historical analytics they need from Hiver before the migration window. Post-migration reporting begins fresh in Freshdesk's native reporting module.

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.

Hiver logo

Hiver gotchas

High

Automations have no export path

Medium

Seat minimums and block upgrades affect final pricing

Medium

AI add-on is priced separately at $20/seat/month

Low

Analytics export is forward-looking only

Low

Shared Notes visibility intent must be confirmed

Freshdesk logo

Freshdesk gotchas

High

API access is blocked on the free plan

High

Per-minute rate limits are account-wide and endpoint-specific

Medium

Multi-channel source types do not map 1:1 to all destinations

Medium

Custom objects created in-product cannot be accessed by other apps

Low

Contact import requires at least 10 existing tickets in the account

Pair-specific challenges

  • Hiver Automations have no bulk export path

    Hiver's own data export documentation lists Conversations, Email Templates, Shared Drafts, and Contacts as exportable — Automations are explicitly excluded. There is no API endpoint for bulk automation export, and Hiver's own migration guide does not address automation transfer. Every automation rule a team has built, including auto-assignments, tag triggers, SLA reminders, and AI Extract steps, must be manually reconstructed in Freshdesk. We document every active Hiver Automation during the pre-migration audit so the customer has a complete written inventory to hand to their Freshdesk admin for rebuild. Freshdesk Scenario Automations are structurally different from Hiver's trigger-condition-action model, so the rebuild requires fresh configuration rather than a direct translation.

  • Freshdesk API rate limits vary by plan and require batch pacing

    Freshdesk's per-minute API rate limits are tiered: Growth allows 200 calls per minute, Pro allows 400, and Enterprise allows 700. Sub-limits apply per endpoint — for example, Ticket Create is capped at 80 calls per minute on Growth versus 160 on Pro. Migrations exceeding these limits receive 429 responses and require exponential backoff with jitter. We implement batch chunking and rate-limit-aware pacing tuned to the customer's Freshdesk plan tier. Trial accounts default to 50 calls per minute, which significantly extends migration time for demos and proofs of concept. We confirm the customer's plan tier before designing the batch configuration.

  • Gmail-thread to Ticket model translation requires Shared Inbox mapping

    Hiver Conversations are structured as Gmail threads — a thread contains all replies between requester and agents grouped by subject. Freshdesk Tickets are individual records, and thread continuity across replies depends on the Freshdesk Reply To and Forward To configuration. If a customer's Hiver setup has merged multiple customer threads into a single Shared Inbox Conversation (which Gmail threading sometimes does with BCC'd internal addresses), the migration may produce fewer Freshdesk Tickets than the raw conversation count suggests. We reconcile thread boundaries during the scoping demo to avoid surprises at import time.

  • AI Extract structured data may not transfer without schema reconfiguration

    Hiver's AI Extract feature populates custom fields with structured data parsed from email content (for example, pulling an order number or policy ID from the message body and writing it to a named custom field). We export the field schema and values, but the AI Extract logic itself does not migrate. In Freshdesk, the equivalent function requires either Freddy AI Setup or manual configuration of field parsing rules. We flag every AI Extract field during scoping so the customer can plan the Freshdesk-side configuration. Without Freddy AI or equivalent setup, imported Tickets will carry the last-parsed values but no automated re-extraction capability.

  • Shared Notes visibility intent requires manual confirmation

    Shared Notes in Hiver are internal comments visible to all team members on a Conversation. When migrating to Freshdesk, we confirm with the customer whether each Shared Note should land as an internal Note (visible to agents only) or as a public Reply (visible to the customer). Some teams use Shared Notes for internal escalations that should stay private in Freshdesk; others use them for customer-facing follow-up that should appear on the ticket timeline. This is a manual decision point during scoping that affects how we configure the import note type.

Migration approach

Six steps for a successful Hiver to Freshdesk data migration

  1. Pre-migration audit and scoping call

    We audit the Hiver account across Shared Inbox count, conversation volume, active Tags, Email Templates, SLA policies, custom fields, and AI Extract configurations. We extract the full Agent roster and confirm which agents are active versus inactive. We document every active Automation rule in detail (trigger, conditions, actions, AI Extract steps) for the customer's written rebuild inventory. We run a scoping call to confirm Shared Inbox-to-Group or Shared Inbox-to-Product mapping logic, Shared Notes visibility preferences, and any AI Extract fields that require Freddy AI configuration in Freshdesk. The output is a signed migration scope document.

  2. Demo migration into Freshdesk sandbox

    We run a demo migration using a representative sample of Hiver data — typically 50 to 200 records per object — into the customer's Freshdesk sandbox environment. This validates the Shared Inbox mapping, confirms custom field creation, tests tag reapplication, and confirms ticket threading behavior. The customer reviews the sandbox output and identifies any mapping corrections before production migration begins. Any draft acceptance limitations are confirmed here.

  3. Schema setup in Freshdesk production

    We create all custom fields, Groups, Products, SLA Policies, and Tag taxonomy in Freshdesk production before any record import. We configure Ticket status values to match Hiver's open/pending/closed model, set up internal Note versus public Reply defaults for Shared Notes, and pre-populate Email Templates. The customer's Freshdesk admin grants API access and confirms agent provisioning for all active Hiver agents before the migration window.

  4. Data export and transformation

    We export Conversations with assignee, status, tags, Shared Notes, and any custom field values from Hiver using the available admin-level export. Contacts export as a separate data type. We transform each Conversation into a Freshdesk Ticket-compatible record, resolving the Hiver assignee email to a Freshdesk agent_id, translating status to Freshdesk status, and mapping Shared Inbox membership to the configured Group or Product. We chunk records into batches sized to stay within the customer's Freshdesk plan rate limits (200 per minute on Growth, 400 on Pro, 700 on Enterprise).

  5. Batch import with rate-limit handling and reconciliation

    We import Tickets in rate-limit-aware batches using the Freshdesk v2 API with exponential backoff on 429 responses. Each batch emits a success and failure count. Failed records are retried with a delay. Contacts import after Groups are confirmed to satisfy the requester_id foreign key. Email Templates import as a separate phase. SLA Policies, Tags, and Custom Fields are populated during or before Ticket import depending on dependency order. We produce a row-count reconciliation report comparing Hiver source totals against Freshdesk destination totals for every object type.

  6. Cutover and post-migration handoff

    We schedule a cutover window during low ticket volume. The Hiver account is placed in read-only mode or agents are asked to pause new work. We run a final delta migration of any records modified during the migration window. Freshdesk is enabled as the system of record. We deliver the Automation rebuild inventory document to the customer's admin team. We support a 72-hour hypercare window for reconciliation issues raised during the first business days in Freshdesk. We do not rebuild Hiver Automations as Freshdesk Scenario Automations inside the migration scope.

Platform deep dives

Context on both ends of the pair

Hiver logo

Hiver

Source

Strengths

  • Runs entirely inside Gmail — no portal to switch to, agents stay in their inbox
  • Shared inbox and conversation assignment give managers real-time visibility of team workload
  • Automation rules with trigger/condition/action logic require no developer involvement to build
  • 2-seat minimum with block-based upgrades keeps pricing predictable for small teams
  • AI features (summarizer, sentiment analysis, AI Extract) are add-on priced and not forced on all tiers

Weaknesses

  • Automation rules cannot be exported — every rule must be manually rebuilt at the destination
  • Native reporting is shallow compared to standalone helpdesk platforms like Zendesk or Freshdesk
  • Performance inconsistencies when the Hiver Chrome extension does not load correctly on email open
  • Multi-channel coverage beyond email and WhatsApp is limited — live chat, phone, and social are gaps
  • The standalone web app is still under development, meaning the Chrome extension is currently required
Freshdesk logo

Freshdesk

Destination

Strengths

  • Generous free tier with no credit card required for 1-2 agents for 6 months.
  • Per-agent pricing model is transparent and scales linearly with team growth.
  • Freddy AI Copilot integrates assistance directly into the agent workspace without requiring separate tooling.
  • Multilingual help desk and customer portal serve global teams on Pro and Enterprise plans.
  • Shared inbox, threads, and tasks keep ticket context unified across multi-channel conversations.

Weaknesses

  • Freddy AI is a separate paid add-on charged per session, making AI costs unpredictable and hard to budget.
  • Performance issues including delayed loading and duplicate tickets are recurring user complaints during high-volume periods.
  • Customization is more limited than Zendesk, with fewer workflow options and reporting flexibility.
  • Add-ons for chat, advanced routing, and custom reporting are gated behind higher tiers or separate module purchases.
  • API access is completely disabled on the free plan, blocking any programmatic data export or migration tooling.

Complexity grading

How hard is this migration?

Standard Helpdesk migration. 1 of 7 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Hiver and Freshdesk.

  • Object compatibility

    B

    1 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

    Hiver: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Hiver to Freshdesk 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 Hiver to Freshdesk data migrations

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

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Small teams with under 5,000 conversations and no custom fields typically complete in one to two weeks. Mid-size teams with 5,000 to 20,000 conversations, multiple Shared Inboxes, and active SLA policies move to four to six weeks. Large migrations above 20,000 conversations or with complex multi-Shared Inbox routing, AI Extract custom fields, and large historical CSAT data extend to six to eight weeks because of schema translation work and API batch pacing.

Adjacent paths

Related migrations to explore

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