Helpdesk migration
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
Source
HubSpot Service Hub
Destination
Compatibility
6 of 12
objects map 1:1 between Mava and HubSpot Service Hub.
Complexity
BStandard
Timeline
2-4 weeks
Overview
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.
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.
Source platform
Mava platform overview
Scorecard, SWOT, gotchas, and pricing for Mava.
Destination platform
HubSpot Service Hub platform overview
Scorecard, SWOT, gotchas, and pricing for HubSpot Service Hub.
Data migration guide
The complete HubSpot Service Hub migration guide
Data model, import mechanisms, field mapping strategy, pitfalls, and cutover — by the engineers running it.
Destination checklist
HubSpot Service Hub migration checklist
Pre- and post-cutover tasks for moving onto HubSpot Service Hub.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
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
HubSpot Service Hub
Ticket
1:1Mava 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
HubSpot Service Hub
Contact
lossyMava 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
HubSpot Service Hub
Agent (HubSpot user with Service Hub seat)
1:1Mava 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
HubSpot Service Hub
Team
1:1Mava 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
HubSpot Service Hub
Tag
1:1Mava 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
HubSpot Service Hub
Documentation only (no destination object)
lossyMava 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
HubSpot Service Hub
Documentation only (no destination object)
lossyMava 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
HubSpot Service Hub
Configuration (SLA Policies in HubSpot Service Hub)
lossyMava 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
HubSpot Service Hub
File Attachments (linked to Ticket)
1:1File 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
HubSpot Service Hub
Custom Ticket Property (ticket_channel__c)
lossyMava 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
HubSpot Service Hub
Custom Ticket Property (mava_conversation_id__c)
lossyWe 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)
HubSpot Service Hub
Ticket Conversation ( threaded replies)
1:1Individual 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.
| Mava | HubSpot Service Hub | Compatibility | |
|---|---|---|---|
| Conversation | Ticket1:1 | Fully supported | |
| User/Member | Contactlossy | Fully supported | |
| Agent | Agent (HubSpot user with Service Hub seat)1:1 | Fully supported | |
| Team | Team1:1 | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| AI Bot Configuration | Documentation only (no destination object)lossy | Fully supported | |
| Custom Webhook | Documentation only (no destination object)lossy | Fully supported | |
| SLA Policy | Configuration (SLA Policies in HubSpot Service Hub)lossy | Fully supported | |
| Conversation Attachments | File Attachments (linked to Ticket)1:1 | Fully supported | |
| Channel Source Metadata | Custom Ticket Property (ticket_channel__c)lossy | Fully supported | |
| Original Mava Conversation ID | Custom Ticket Property (mava_conversation_id__c)lossy | Fully supported | |
| Conversation Thread (Messages) | Ticket Conversation ( threaded replies)1:1 | Fully 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.
Mava gotchas
Community identity linkage may be incomplete
Bot configurations are channel-specific
Webhook payloads lack standardized schema
HubSpot Service Hub gotchas
Rate limits throttle large migration API calls
Side conversations and Zendesk macros have no HubSpot equivalent
HubSpot stores ticket history as fragmented engagement objects
Custom Objects require Enterprise tier in HubSpot
Ticket pipeline stage probability values do not export cleanly
Pair-specific challenges
Migration approach
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.
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.
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.
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.
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.
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
Mava
Source
Strengths
Weaknesses
HubSpot Service Hub
Destination
Strengths
Weaknesses
Complexity grading
Standard Helpdesk migration. 2 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Mava and HubSpot Service Hub.
Object compatibility
2 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
Mava: Not publicly documented..
Data volume sensitivity
Mava 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
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FAQ
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