Helpdesk migration

Migrate from Mava to HubSpot Service Hub

Field-level mapping, validation, and rollback between Mava and HubSpot Service Hub. We move data and schema; workflows are rebuilt natively in HubSpot Service Hub.

Mava logo

Mava

Source

HubSpot Service Hub

Destination

HubSpot Service Hub logo

Compatibility

50%

6 of 12

objects map 1:1 between Mava and HubSpot Service Hub.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Mava and HubSpot Service Hub are architecturally different platforms. Mava is an AI-first support tool built for community-driven companies operating across Discord, Telegram, and web chat, where users are often identified by platform-native IDs rather than verified email addresses. HubSpot Service Hub is the customer service layer of HubSpot's all-in-one CRM, where tickets are first-class CRM objects attached to contacts, companies, and pipelines. Migrating between them requires resolving Mava's community identity records (which may lack email addresses), mapping channel-source metadata into HubSpot's custom ticket property model, and preserving conversation threading across multiple social channels. We do not migrate Mava AI bot configurations, webhook payloads, SLA policies, or community channel links as functional equivalents — these are documented in the migration manifest for your admin to rebuild in HubSpot. Workflows and automations are similarly out of scope.

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

Mava logo

Mava

What's pushing teams away

  • Limited third-party integrations beyond Discord, Telegram, and website chat mean teams with established tech stacks often outgrow Mava and migrate to more flexible platforms.
  • Small review sample size makes it difficult to assess long-term reliability and enterprise-readiness before committing to the platform at scale.
  • Enterprise tier pricing is not publicly documented, which creates uncertainty for mid-market companies evaluating budget and scoping requirements.

Choosing

HubSpot Service Hub logo

HubSpot Service Hub

What's pulling them in

  • Unified CRM context means every support ticket links directly to the Contact and Company record without a separate integration
  • Free tier provides unlimited support seat access with basic ticketing and a shared inbox for small teams to validate fit before committing
  • Omnichannel routing consolidates email, live chat, Facebook Messenger, WhatsApp, and Instagram DM into one queue
  • Built-in customer success workspace gives health scores and portfolio views that other standalone helpdesks cannot match
  • AI-powered Breeze agent automates common resolutions and surfaces knowledge base articles without agent intervention

Object mapping

How Mava objects map to HubSpot Service Hub

Each row shows how a Mava object lands in HubSpot Service Hub, including any object-level transformations, lookup resolution, or schema-design dependencies.

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

Mava

Conversation

maps to

HubSpot Service Hub

Ticket

1:1
Fully supported

Mava Conversations map 1:1 to HubSpot Tickets. The conversation ID is preserved as a custom property mava_conversation_id__c on the ticket for audit traceability. Channel source (Discord, Telegram, or web) migrates as a single-select custom property ticket_channel__c. Message history and participant metadata transfer as threaded replies within the ticket conversation pane via HubSpot's Tickets API. Ticket status (open, pending, resolved, closed) maps from Mava's conversation state field.

Mava

User/Member

maps to

HubSpot Service Hub

Contact

lossy
Fully supported

Mava community members linked to Discord user IDs or Telegram user IDs without verified email addresses present a resolution challenge. We extract the full member roster and attempt email-based matching against any web session data captured in Mava. Members with no resolvable email are migrated as HubSpot Contacts with a mava_platform_id__c custom property storing the original Discord or Telegram ID and a mava_identity_unresolved__c flag set to true, so the customer's admin can enrich records post-migration. Members with verified emails map 1:1 to HubSpot Contacts.

Mava

Agent

maps to

HubSpot Service Hub

Agent (HubSpot user with Service Hub seat)

1:1
Fully supported

Mava Agents map directly to HubSpot Users with Service Hub seat access. We resolve by email match. The agent role (admin, agent) maps to the HubSpot user permission level. The customer's admin provisions HubSpot Service Hub seats before migration begins so that OwnerId references are satisfied at import time.

Mava

Team

maps to

HubSpot Service Hub

Team

1:1
Fully supported

Mava Teams map to HubSpot Teams. Team names and member lists migrate as-is. Team-based routing in Mava maps to HubSpot ticket assignment rules tied to the team object. If Mava teams are channel-specific (e.g., a Discord team and a Telegram team), we consolidate them into HubSpot Teams and note the channel association in the team description field for the admin to assign routing rules in HubSpot.

Mava

Tag

maps to

HubSpot Service Hub

Tag

1:1
Fully supported

Mava conversation tags migrate as HubSpot ticket properties. Tags are preserved as key-value strings in the mava_tags__c multi-select custom field on the ticket. If tag volume exceeds HubSpot's multi-select picklist limits, tags migrate as individual Topic assignments or as a comma-separated text field, with the customer choosing the strategy during scoping.

Mava

AI Bot Configuration

maps to

HubSpot Service Hub

Documentation only (no destination object)

lossy
Fully supported

Mava AI bot intent catalogs are configured per channel with intent rules, automated responses, and routing conditions. HubSpot Service Hub has no equivalent bot-intent object — Breeze AI Agent uses knowledge-base retrieval rather than intent-based routing. We extract the full bot intent catalog across all channels (Discord, Telegram, web) as a JSON manifest and deliver it as part of the migration documentation package. Rebuilding intent rules in HubSpot requires manual configuration of Breeze AI Agent knowledge sources and is outside the migration scope.

Mava

Custom Webhook

maps to

HubSpot Service Hub

Documentation only (no destination object)

lossy
Fully supported

Mava webhook integrations are customer-defined with no documented standard payload schema, meaning payload structures vary significantly per customer. We extract all webhook endpoint URLs, trigger conditions, and associated conversation IDs as a manifest. HubSpot Service Hub supports native webhooks via Workflows (outbound webhook action) and the HubSpot API for inbound webhook delivery. Payload transformation requires manual mapping and is documented for the customer's developer to implement post-migration.

Mava

SLA Policy

maps to

HubSpot Service Hub

Configuration (SLA Policies in HubSpot Service Hub)

lossy
Fully supported

Mava SLA configurations (first-response and resolution time targets per channel or team) map to HubSpot Service Hub SLA Policies, which support targets on first response time and next time to reply. We document each Mava SLA rule (target time, business hours, priority) and the associated team or channel, then configure equivalent SLA Policies in HubSpot during migration. SLA policy activation requires the Professional or Enterprise tier of HubSpot Service Hub.

Mava

Conversation Attachments

maps to

HubSpot Service Hub

File Attachments (linked to Ticket)

1:1
Fully supported

File attachments within Mava conversations migrate as HubSpot file attachments linked to the corresponding ticket. We use HubSpot's Files API to upload each attachment and link it via the ticket hs_attachment_ids property. Large files (over 16 MB) exceeding HubSpot's file size limit are flagged in the migration manifest for manual handling.

Mava

Channel Source Metadata

maps to

HubSpot Service Hub

Custom Ticket Property (ticket_channel__c)

lossy
Fully supported

Mava conversations carry channel source metadata indicating whether the thread originated on Discord, Telegram, or web. HubSpot Service Hub does not have a native channel source field on tickets. We create a single-select custom property ticket_channel__c on the Ticket object and populate it with the source value during migration. This preserves channel attribution for reporting without requiring agents to infer the source from message timestamps or content.

Mava

Original Mava Conversation ID

maps to

HubSpot Service Hub

Custom Ticket Property (mava_conversation_id__c)

lossy
Fully supported

We store the original Mava conversation identifier as a string custom property mava_conversation_id__c on each migrated HubSpot Ticket. This creates a permanent audit link between the destination record and the source record, enabling reconciliation and supporting any future cross-system reporting the customer requires.

Mava

Conversation Thread (Messages)

maps to

HubSpot Service Hub

Ticket Conversation ( threaded replies)

1:1
Fully supported

Individual messages within a Mava Conversation thread map to reply entries in the HubSpot Ticket conversation pane. We preserve author identity (agent or contact), timestamp, and message body. Discord message threading (reply chains) and Telegram message groups transfer as sequential reply entries ordered by the original timestamp. Rich formatting, embedded media URLs, and emoji reactions from Discord and Telegram do not preserve formatting; plain message content and links transfer as-is.

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.

Mava logo

Mava gotchas

Medium

Community identity linkage may be incomplete

Low

Bot configurations are channel-specific

Low

Webhook payloads lack standardized schema

HubSpot Service Hub logo

HubSpot Service Hub gotchas

High

Rate limits throttle large migration API calls

High

Side conversations and Zendesk macros have no HubSpot equivalent

High

HubSpot stores ticket history as fragmented engagement objects

Medium

Custom Objects require Enterprise tier in HubSpot

Medium

Ticket pipeline stage probability values do not export cleanly

Pair-specific challenges

  • Community identities without email addresses cannot map directly to HubSpot Contacts

    Mava links users to their Discord user ID or Telegram user ID rather than a verified email in many cases. HubSpot Contacts require an email address as the primary identifier. We extract all community member records and attempt to resolve a web-session email where one exists. Records with no resolvable email are migrated as flagged Contacts with the platform ID stored in mava_platform_id__c and an mava_identity_unresolved__c flag. The customer's admin must either enrich these records with email addresses before migration or accept that these Contacts cannot receive automated HubSpot workflows or email sequences. Skipping this step results in orphaned ticket submitters in HubSpot with no contact record linkage.

  • Mava AI bot intent catalogs have no functional equivalent in HubSpot Service Hub

    Mava's AI bots are configured per channel with intent-based routing, automated response triggers, and conditional escalation paths. HubSpot Service Hub's Breeze AI Agent uses knowledge-base retrieval rather than structured intent matching. Bot intent catalogs, intent-to-response mappings, and channel-specific automation rules do not migrate to HubSpot as functional components. We extract the full intent catalog as a structured manifest and document the Mava bot configuration for the customer's admin to rebuild manually in HubSpot using Breeze knowledge sources and Workflow triggers. This is a manual rebuild task, not a data migration item.

  • Webhook payloads lack a documented schema and cannot be migrated as code

    Mava's webhook integrations are entirely customer-defined with no standardized payload structure. Webhook endpoint URLs and trigger conditions migrate as documentation, but payload transformation rules require manual reimplementation. HubSpot's outbound webhook action in Workflows accepts a payload defined at configuration time. We extract all webhook configurations (URLs, event triggers, header configurations) and deliver them as a manifest. The customer's developer rebuilds the payload mapping in HubSpot Workflows post-migration, which is a manual implementation task separate from the data migration scope.

  • SLA policies require manual configuration in HubSpot Service Hub

    Mava SLA configurations (first-response time and resolution time targets tied to channels or teams) map to HubSpot Service Hub SLA Policies, but SLA Policy creation in HubSpot requires the Professional or Enterprise tier and manual setup of target metrics, business hours, and ticket filters. We document each Mava SLA rule and the target values, then create equivalent SLA Policies during migration. If the destination HubSpot account is on the Starter free tier, SLA Policies are unavailable and we note this in the migration manifest for the admin to address before activating SLA tracking.

  • HubSpot API rate limits constrain conversation history migration volume

    HubSpot's CRM API enforces rate limits (100 calls/10 seconds for standard tiers, higher for Enterprise) that affect the speed of large conversation history migrations. Mava conversations with message threads spanning months or years can produce hundreds of thousands of individual message records. We use HubSpot's Batch API endpoints where available and apply exponential backoff and chunking for bulk imports. A migration window of two to four weeks is typical for mid-volume accounts; very large histories (over 500,000 message records) may require a staged migration with a delta-sync at cutover to avoid prolonged dual-operation periods.

Migration approach

Six steps for a successful Mava to HubSpot Service Hub data migration

  1. Discovery and Mava data audit

    We audit the Mava portal to extract the full object inventory: conversation count and thread depth, member roster with identity resolution status, agent list, team structures, tag taxonomy, bot intent catalog across all channels, webhook configurations with endpoint URLs, and SLA rule definitions. We assess identity resolution completeness by counting records with and without resolvable email addresses. The discovery output is a written migration scope document that defines the conversation import volume, contact resolution rate estimate, and a list of objects that migrate as data versus objects that migrate as documentation.

  2. HubSpot schema setup and custom properties

    We configure the HubSpot Service Hub destination before any data import. This includes creating the custom ticket properties ticket_channel__c (single-select), mava_conversation_id__c (string), mava_platform_id__c (string), mava_identity_unresolved__c (checkbox), mava_tags__c (multi-select or text), and mava_original_timestamp__c (datetime) on the Ticket object. We configure SLA Policies (if Professional or Enterprise) based on the documented Mava SLA rules. We set up the Support Pipeline with stages mapped from Mava's conversation states and configure HubSpot Teams matching the Mava team structure. This phase runs in a HubSpot Sandbox or staging account for validation before production migration.

  3. Sandbox migration and reconciliation

    We run a full migration into a HubSpot Sandbox using production-like data volume. The customer's support operations lead reconciles record counts (tickets in, contacts resolved, agents mapped), spot-checks 25-50 randomly sampled tickets against the Mava source conversation threads, and verifies that channel metadata, tags, and agent assignments transferred correctly. Any field mapping corrections happen at this stage. The customer approves the sandbox results in writing before production migration begins.

  4. Agent and team provisioning

    We extract every distinct Mava Agent and map them to HubSpot Users by email match. The customer's HubSpot admin provisions Service Hub seats for each agent before migration begins. Teams from Mava are created as HubSpot Teams with members assigned. Migration cannot proceed past this step because ticket OwnerId references require a valid HubSpot User. Agents without a matching HubSpot User are held in a reconciliation queue for the admin to address.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Agents and Teams (validated first), Contacts (with identity resolution status flagged), Tickets (with conversation threads, channel metadata, tags, and mava_conversation_id__c populated), and file attachments. Bot intent catalogs and webhook configurations are delivered as documentation artifacts alongside the data migration. SLA Policy activation is applied after ticket migration using the documented Mava SLA rules.

  6. Cutover, delta sync, and handoff documentation

    We freeze Mava writes during cutover, run a final delta migration of any tickets or messages created during the migration window, then enable HubSpot Service Hub as the system of record for new inbound conversations. We deliver the bot intent catalog manifest, webhook configuration manifest, and SLA rule mapping document to the customer's admin team. We support a one-week hypercare window for reconciliation issues raised by the support team. We do not rebuild Mava AI bot automations or webhook payloads inside the migration scope; these are separate implementation tasks.

Platform deep dives

Context on both ends of the pair

Mava logo

Mava

Source

Strengths

  • Deep Discord and Telegram native integration for community-first support workflows
  • AI bot automation with intent-based routing reduces manual triage workload
  • Free tier available for small teams and early-stage community projects
  • Pricing tiers scale from free through enterprise with clear feature differentiation

Weaknesses

  • Limited third-party integrations beyond core community channels
  • No publicly documented API or developer documentation in the research data
  • Enterprise pricing opaque without direct sales engagement
  • Small review sample size limits visibility into long-term reliability
HubSpot Service Hub logo

HubSpot Service Hub

Destination

Strengths

  • Unified CRM object model means support context is always linked to sales and marketing data
  • Generous free tier with unlimited tickets and a shared inbox for small teams
  • Omnichannel inbox consolidates email, live chat, and major messaging platforms natively
  • Customer Success Workspace provides portfolio-level health scores without a separate tool
  • AI agent (Breeze) handles Tier-1 resolutions and knowledge base deflection automatically

Weaknesses

  • Per-seat pricing with mandatory onboarding fees inflates year-one cost significantly
  • Ticket history stored as fragmented engagement objects across APIs complicates export and migration
  • Custom Objects locked behind Enterprise tier limits portability for mid-market teams
  • Help desk depth—routing rules, SLA management, advanced reporting—trails dedicated tools like Zendesk
  • Setup and configuration requires real time investment; out-of-box defaults rarely fit existing workflows

Complexity grading

How hard is this migration?

Standard Helpdesk migration. 2 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 Mava and HubSpot Service Hub.

  • Object compatibility

    B

    2 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

    Mava: Not publicly documented..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Mava to HubSpot Service Hub 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 Mava to HubSpot Service Hub data migrations

Answers to the questions buyers ask most during Mava to HubSpot Service Hub migration scoping. Not seeing yours? Book a call.

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Most migrations land between two and four weeks for accounts under 10,000 conversations and 3,000 contacts with clean identity resolution. Migrations with large conversation histories spanning multiple Discord and Telegram channels, extensive bot intent catalogs, or complex SLA configurations move to four to eight weeks because of identity reconciliation time, multi-channel message threading, and SLA rule documentation scope. The timeline assumes the customer's HubSpot admin has provisioned Service Hub seats before the production migration phase begins.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Mava.
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