Migrate your Mava data
AI-first customer support platform built for community-driven web3, gaming, and SaaS companies managing support across Discord, Telegram, and the web.
In its favor
Why people choose Mava
The signal that keeps Mava on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Community-native integrations with Discord and Telegram make Mava a natural fit for web3 and gaming companies that already run their communities on those platforms, reducing the friction of adopting a separate support channel.
AI bot automation handles high volumes of repetitive questions in community chat environments, which reviewers say cuts response times and reduces burnout for small support teams.
Low entry-level pricing at $0 makes Mava accessible for early-stage startups and DAO treasuries that need professional support tooling without a large upfront commitment.
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.
Reasons to switch
Why people leave Mava
The recurring reasons buyers give for replacing Mava. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Mava 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
Mava pricing overview
Mava's pricing scales from a free tier for single-channel deployments through four paid tiers at $99, $199, and $599 per month, with enterprise pricing available by custom quote. The free tier is functional but limited to one channel, making it suitable for evaluation rather than production use.
Free
Tier 1 of 5
$0
What's included
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Book a free 30 minute consultationPricing is informational. FlitStack AI does not bill on Mava's schedule — see our quote-based pricing →
What gets migrated
Mava object support
Object-by-object support for Mava migrations. Per-pair details surface during scoping.
Conversations
Fully supportedConversations are Mava's primary ticket object. They include message history, timestamps, participant metadata, and channel source (Discord, Telegram, or web). We migrate conversations 1:1 and preserve the channel identifier as a custom field in the destination.
AI Bots
Mapping requiredMava's AI bots are configured per-channel with intent rules and automated responses. Bot configurations are stored as JSON payloads that vary by channel type. We extract the intent catalog and response templates, then map them to the destination's equivalent automation structure.
Users/Members
Mapping requiredCommunity members who interact with Mava are associated with their source platform identities (Discord user ID, Telegram user ID, or web session). We resolve these to email or username where available, and flag records where identity linkage is incomplete.
Agents
Fully supportedAgents are Mava's support team members who handle conversations. Agent records include name, email, role, and assignment rules. We map agents 1:1 to the destination's agent or user object.
Teams
Fully supportedMava supports team-based routing where conversations are assigned to teams. Teams have names and member lists. We preserve team structures and map them to the destination's team or group concept.
Tags
Fully supportedConversations can be tagged in Mava for categorization and reporting. Tags are simple key-value strings. We preserve them as-is in the destination.
Custom Webhooks
Mapping requiredMava supports webhook integrations for sending notifications or syncing with external tools. Webhook payloads are custom per customer. We extract the webhook configuration and endpoint URLs, but payload schemas must be manually reviewed in the destination.
SLA Policies
Mapping requiredMava allows teams to define first-response and resolution time targets. SLA configurations are stored as rule sets tied to channels or teams. We map SLA rules to the destination's SLA model where supported, and flag tier mismatches.
| Object | Support | Notes |
|---|---|---|
| Conversations | Fully supported | Conversations are Mava's primary ticket object. They include message history, timestamps, participant metadata, and channel source (Discord, Telegram, or web). We migrate conversations 1:1 and preserve the channel identifier as a custom field in the destination. |
| AI Bots | Mapping required | Mava's AI bots are configured per-channel with intent rules and automated responses. Bot configurations are stored as JSON payloads that vary by channel type. We extract the intent catalog and response templates, then map them to the destination's equivalent automation structure. |
| Users/Members | Mapping required | Community members who interact with Mava are associated with their source platform identities (Discord user ID, Telegram user ID, or web session). We resolve these to email or username where available, and flag records where identity linkage is incomplete. |
| Agents | Fully supported | Agents are Mava's support team members who handle conversations. Agent records include name, email, role, and assignment rules. We map agents 1:1 to the destination's agent or user object. |
| Teams | Fully supported | Mava supports team-based routing where conversations are assigned to teams. Teams have names and member lists. We preserve team structures and map them to the destination's team or group concept. |
| Tags | Fully supported | Conversations can be tagged in Mava for categorization and reporting. Tags are simple key-value strings. We preserve them as-is in the destination. |
| Custom Webhooks | Mapping required | Mava supports webhook integrations for sending notifications or syncing with external tools. Webhook payloads are custom per customer. We extract the webhook configuration and endpoint URLs, but payload schemas must be manually reviewed in the destination. |
| SLA Policies | Mapping required | Mava allows teams to define first-response and resolution time targets. SLA configurations are stored as rule sets tied to channels or teams. We map SLA rules to the destination's SLA model where supported, and flag tier mismatches. |
Gotchas
What to watch for in Mava migrations
Issues we've hit on past Mava migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
Community identity linkage may be incomplete
Bot configurations are channel-specific
Webhook payloads lack standardized schema
| Severity | Issue |
|---|---|
| Medium | Community identity linkage may be incomplete |
| Low | Bot configurations are channel-specific |
| Low | Webhook payloads lack standardized schema |
Leaving Mava?
Where Mava customers move next
7 destinations Mava can migrate to.
How a Mava migration works
Four steps, Mava-specific
Connect
Not publicly documented at the developer-portal level. Mava ships native connectors to Discord, Telegram, Slack, web chat, and email rather than positioning itself as an API-first platform. Auth for direct API access is confirmed with Mava support during scoping. into Mava. Scopes limited to read-only on the data we move.
Map
We translate Mava-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Mava quirks before production.
Migrate
Full migration with Mava rate-limit handling. Rollback available throughout.
FAQ
Mava migration FAQ
Answers to the questions buyers ask most during Mava migration scoping. Not seeing yours? Book a call.
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Ready when you are
Migrate Mava.
Without the rebuild.
Free scoping call with a migration engineer. Tell us about your Mava setup and destination — written quote back within a business day.