How long does a REVE Chat to Zendesk migration take?

Most migrations land between two and three weeks for accounts under 50,000 conversations, 500 agents, and no custom fields. Migrations with Growth or Enterprise plan history recovery (365 days or unlimited), custom REVE Chat ticket fields, multi-channel social records, or large agent rosters move to four to six weeks because of API pagination across the retention window, Zendesk field validation coordination, and the delta migration at cutover. Migrations that begin with a plan-tier audit and sandbox validation typically complete faster than those where these steps are skipped.

Do REVE Chat chatbot flows and automations migrate to Zendesk?

No. Chatbot flows built in REVE Chat's Visual Flow Builder are proprietary and cannot be imported into Zendesk's Flow Builder or native AI. We export the flow logic as a written inventory documenting triggers, decision branches, response content, and conditional paths, but the customer must rebuild flows in Zendesk's bot builder, Flow Builder, or an alternative chatbot platform. REVE Chat automations, routing rules, and Social Channel routing configurations do not migrate either; we deliver a written map of these for the admin to configure in Zendesk Admin Center post-migration.

What happens to conversations outside the plan retention window?

REVE Chat enforces plan-tiered chat history limits: Starter retains 90 days, Growth 365 days, and Enterprise unlimited. Conversations that have aged out cannot be recovered from the API regardless of what exists in the REVE Chat dashboard. We identify the plan tier during scoping, document the retention window, and flag any customer expectations for historical data that does not exist. For accounts on Starter or Growth, we recommend exporting any critical historical conversations before migration begins if they fall within the retention window but have not yet been API-extracted.

What does a REVE Chat to Zendesk migration typically cost?

Migrations under 50,000 conversations, 500 agents, and no custom fields land between $4,000 and $6,500. Migrations with Growth or Enterprise history recovery, custom REVE Chat ticket fields, multi-channel social records, or complex agent hierarchies move to $7,500-$12,000. Zendesk Suite pricing (typically $19-$335 per agent per month depending on tier and add-ons) sits outside the migration fee and is the customer's recurring cost after cutover.

How do we handle the seat ceiling difference between REVE Chat and Zendesk plans?

REVE Chat enforces seat limits by plan: Starter caps at 10, Growth at 25, and Enterprise at unlimited. Zendesk Suite plans also enforce agent seat limits per tier. We verify the agent count during scoping against both the source plan ceiling and the destination plan capacity. If the Zendesk plan has fewer agent seats than the REVE Chat account, we flag this mismatch before migration begins so the customer can upgrade the Zendesk plan or deprovision inactive agents. Orphaned agent records or provisioning failures during migration are avoided by resolving this upfront.

Do REVE Chat canned responses and saved replies migrate?

Yes. Canned responses migrate to Zendesk Macros with the same body content preserved. Shortcut key triggers do not carry over as keyboard shortcuts; macros are recreated in Zendesk Admin and appear in the macro picker for agents to use manually. Some canned response fields may be plan-gated on REVE Chat Starter; we verify field availability against the source plan during scoping to avoid migrating content that does not exist.

What historical reporting context survives the migration?

REVE Chat reporting is conversation-centric (response time, agent activity, session counts) rather than ticket-centric. Zendesk Explore reporting is structured around ticket metrics (SLA compliance, ticket volume by status, CSAT trends, agent workload). We migrate the available conversation metrics as historical data points, but cross-object reporting that spans REVE Chat's session-level metrics will require rebuilding reports in Zendesk Explore post-migration. We deliver the migrated data in a format compatible with Zendesk's reporting tools so the customer's admin can construct equivalent dashboards.

REVE Chat to Zendesk Migration — Field-Level Mapping & Rollback

Overview

What this migration involves

Moving from REVE Chat to Zendesk requires a structural data model transformation. REVE Chat organizes around Conversations and Chat Sessions as the primary objects, with ticketing treated as secondary to the conversation stream; Zendesk is ticket-centric with SLA accountability, structured lifecycle management, and a separate messaging layer for asynchronous channels. We resolve this during scoping by mapping REVE Chat conversations to Zendesk tickets with full transcript preservation, agent attribution, and customer history intact. Plan-tiered chat history retention (Starter 90 days, Growth 365 days, Enterprise unlimited) is flagged upfront so customers do not assume historical conversations exist when they have aged out. Chatbot flows built in the Visual Flow Builder are exported as documentation for the customer to rebuild in Zendesk's native AI or an alternative bot platform; the proprietary logic does not migrate. We do not migrate Workflows, automations, or Social Channel routing rules as code. We deliver a written inventory of these for the customer's admin to configure in Zendesk Admin Center post-migration.

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

REVE Chat

What's pushing teams away

Documentation gaps make initial setup and API authentication difficult—users report spending significant time locating their auth token and account_id.
Limited third-party integrations force teams to build custom API workarounds, which is unsustainable at scale for CRM or helpdesk-centric workflows.
Some users describe the interface as dated and features as slow to evolve, particularly compared to AI-native competitors that update rapidly.
Occasional chat interface lag disrupts conversation flow and frustrates agents handling high-volume sessions.
Ticketing is treated as secondary to the conversation stream, which frustrates teams requiring SLA accountability, ticket lifecycle management, or structured ticket reporting.

Choosing

Zendesk

What's pulling them in

Mature omnichannel routing across email, chat, phone, messaging, and social — one unified inbox for support teams regardless of size or complexity.
Deep automation with Triggers, Automations, and SLA Policies lets high-volume teams enforce consistent workflows without manual ticket handling.
Large ecosystem of third-party integrations and a public app marketplace reduce friction for teams already using Salesforce, Jira, or Slack.
Industry-leading brand recognition and trust signal — many enterprise buyers default to Zendesk as a known quantity in vendor procurement cycles.
Generous documentation library and community mean onboarding teams can self-configure without needing a services engagement to get started.

Object mapping

How REVE Chat objects map to Zendesk

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

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

REVE Chat

Conversation

maps to

Zendesk

Ticket

1:1

Fully supported

REVE Chat Conversations are the primary object and map directly to Zendesk Tickets. Each conversation transcript migrates as the ticket Description, with agent and customer messages preserved in chronological order. Session metadata (channel source, device info, page context) migrates as ticket custom fields or as internal comments. The REVE Chat conversation ID is preserved in a custom field revchat_conversation_id__c for cross-reference. This is the core data model transformation: the conversation stream becomes the ticket body.

REVE Chat

Chat Session

maps to

Zendesk

Ticket Comment

1:1

Fully supported

Individual chat session records within a REVE Chat Conversation are mapped to Zendesk Ticket Comments. Each session contributes one or more comments to the parent Ticket, preserving the message sequence, agent attribution, and timestamp. System events (session start, session end, visitor info) migrate as internal notes so agent-facing views show only customer interaction content.

REVE Chat

Agent

maps to

Zendesk

Agent (User)

1:1

Fully supported

REVE Chat agent profiles (display name, email, role: admin, supervisor, agent) map to Zendesk User records. Role mapping follows: REVE Chat admin maps to Zendesk admin, supervisor maps to agent with group leadership, agent maps to agent. We resolve by email match. The seat ceiling per REVE Chat plan (Starter=10, Growth=25, Enterprise=unlimited) is verified against the Zendesk plan agent limit before migration; if the Zendesk plan has fewer agent seats, we flag this during scoping.

REVE Chat

Customer

maps to

Zendesk

End User

1:1

Fully supported

REVE Chat customer profiles (name, email, phone, company, custom labels) map to Zendesk End User records. Custom labels migrate as key-value custom fields on the End User. Customer chat history links to the End User record so agents can see prior conversations in the Zendesk sidebar. If the customer uses Zendesk's organization model, company fields map to Organizations.

REVE Chat

Ticket (REVE Chat)

maps to

Zendesk

Ticket

1:1

Fully supported

REVE Chat tickets (status, priority, assignee, tags, linked conversation) map to Zendesk Tickets with field-level fidelity. Status mapping: REVE Chat open/pending maps to Open, resolved maps to Solved, closed maps to Closed. Priority maps directly. Tags migrate to Zendesk tags. Linked conversations preserve the parent relationship so the transcript is accessible from the Zendesk ticket view.

REVE Chat

Canned Response

maps to

Zendesk

Macro

1:1

Fully supported

REVE Chat saved reply templates with shortcut triggers map to Zendesk Macros. Shortcut keys do not carry over as keyboard shortcuts; macros are recreated in Zendesk Admin with the same body content and are available in the macro picker. Some canned response fields may be plan-gated on the source side; we verify field availability against the source plan during scoping.

REVE Chat

Department

maps to

Zendesk

Group

1:1

Fully supported

REVE Chat department records (controlling routing and agent assignment) map to Zendesk Groups. Routing rules built in REVE Chat do not migrate as active configurations; we document the routing logic so the customer's Zendesk admin can configure equivalent routing in Zendesk Admin Center under Views and SLAs.

REVE Chat

Chatbot (Visual Flow Builder)

maps to

Zendesk

Bot Documentation (rebuild required)

lossy

Fully supported

Chatbot flows built in the Visual Flow Builder are exported as a written flow inventory documenting triggers, decision branches, response actions, and conditional logic. The Visual Flow Builder is a proprietary system; the flow logic cannot be imported into Zendesk's bot builder programmatically. We deliver the documentation so the customer's admin rebuilds flows in Zendesk's native AI, Flow Builder, or an alternative bot platform. AI session credits and chatbot quotas from REVE Chat plans do not transfer.

REVE Chat

Media Attachment

maps to

Zendesk

Ticket Attachment

1:1

Fully supported

Files and images shared within REVE Chat conversations are exported alongside transcript records and uploaded to Zendesk as ticket attachments. Attachment URLs pointing to REVE Chat storage are preserved in the ticket description as reference links. Customers should confirm whether they want to download files to their own storage before migration; we flag this during scoping.

REVE Chat

Social Channel Record

maps to

Zendesk

Ticket (via channel integration)

1:1

Fully supported

Social channel records (Facebook Messenger, WhatsApp, Viber, Telegram) linked to REVE Chat Conversations map to Zendesk Tickets via the appropriate channel integration. Instagram, WhatsApp, Viber, and Telegram may be add-ons on REVE Chat Starter; we confirm channel availability against the source plan during scoping and note which channels require separate Zendesk channel setup post-migration. Social channel routing rules do not migrate; we document the source routing for the admin to reconfigure.

REVE Chat	Zendesk	Compatibility
Conversation	Ticket1:1	Fully supported
Chat Session	Ticket Comment1:1	Fully supported
Agent	Agent (User)1:1	Fully supported
Customer	End User1:1	Fully supported
Ticket (REVE Chat)	Ticket1:1	Fully supported
Canned Response	Macro1:1	Fully supported
Department	Group1:1	Fully supported
Chatbot (Visual Flow Builder)	Bot Documentation (rebuild required)lossy	Fully supported
Media Attachment	Ticket Attachment1:1	Fully supported
Social Channel Record	Ticket (via channel integration)1:1	Fully supported

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.

REVE Chat gotchas

High

Chat history retention is plan-tiered

High

Seat ceiling limits by plan

Medium

Chatbot session limits and AI credits

Medium

Social channels are add-on or tier-gated

Medium

API documentation and custom endpoint discovery

Zendesk gotchas

High

Data export requires API scripting on non-Enterprise plans

Medium

Automations cap at 500 active rules and 1,000 tickets per hour

Medium

Help Center has no native export feature

High

Custom Objects and full data export are Enterprise-only

REVE Chat gotchas		Zendesk gotchas
Severity	Issue	Severity	Issue
High	Chat history retention is plan-tiered	High	Data export requires API scripting on non-Enterprise plans
High	Seat ceiling limits by plan	Medium	Automations cap at 500 active rules and 1,000 tickets per hour
Medium	Chatbot session limits and AI credits	Medium	Help Center has no native export feature
Medium	Social channels are add-on or tier-gated	High	Custom Objects and full data export are Enterprise-only
Medium	API documentation and custom endpoint discovery

Pair-specific challenges

Conversation-to-ticket model shift requires upfront field mapping

REVE Chat's primary object is the Conversation; Zendesk's primary object is the Ticket. A 1:1 conversation-to-ticket mapping preserves the transcript but requires decisions about metadata placement. Session-level fields (device info, page URL, visitor source) must map to Zendesk custom ticket fields or internal comments. If REVE Chat conversations span multiple sessions, we collapse them into a single Zendesk ticket with all session comments in sequence. We define the mapping during scoping and validate in a sandbox migration before production.
Chat history retention limits may exclude conversations outside the plan window

REVE Chat enforces retention windows by plan tier: Starter retains 90 days, Growth 365 days, and Enterprise unlimited. If the source account is on Starter or Growth, conversations older than the retention window have aged out and cannot be recovered from the API. We identify the plan tier during scoping, extract conversation history within the retention window, and flag any customer expectations for older data that does not exist. Migrations that assume unlimited history on a lower-tier plan will encounter gaps.
Visual Flow Builder chatbot logic cannot migrate to Zendesk

Chatbot flows built in REVE Chat's Visual Flow Builder use a proprietary logic system that cannot be imported into Zendesk's bot builder. We export the flow as a written inventory documenting triggers, decision branches, response content, and conditional paths. The customer must rebuild flows in Zendesk's Flow Builder, native AI agent, or an alternative chatbot platform post-migration. AI session credits and chatbot quotas from REVE Chat do not transfer and should be reviewed against Zendesk AI pricing.
REVE Chat API rate limits are not publicly published

G2 reviews and community reports indicate that REVE Chat's API rate limits are not publicly documented, requiring teams to request documentation directly from the product team. We request early API access during scoping to determine pagination limits, request throttling, and endpoint availability before designing the extraction strategy. Without this, extraction may encounter unexpected 429 responses or timeouts that extend the migration timeline.
Zendesk field validation rules can block ticket imports

Zendesk enforces validation rules (required field formats, conditional requireds, picklist whitelists) that can reject records during import if not coordinated in advance. We coordinate with the customer's Zendesk admin to temporarily disable validation rules during load or configure migration-context bypass rules. Without this step, records with missing or format-mismatched fields are silently skipped, resulting in incomplete ticket migration that is discovered post-cutover.

Migration approach

Six steps for a successful REVE Chat to Zendesk data migration

Scoping and plan-tier audit

We audit the source REVE Chat account across plan tier (Starter, Growth, Enterprise), conversation volume, agent count, department structure, canned response count, and chatbot flow inventory. We identify the chat history retention window applicable to the plan tier and flag conversations that fall outside the window and cannot be recovered. We also confirm social channel availability (which channels are included versus add-on on the source plan) and flag any expected records that may not have a destination equivalent.
Zendesk environment preparation

We guide the customer through Zendesk environment setup before data begins moving. This includes activating Zendesk Guide if knowledge base articles are in scope, configuring agent roles and groups to match the REVE Chat department structure, creating custom ticket fields to receive REVE Chat metadata (device info, page URL, visitor source), and disabling triggers, automations, and required field validation rules that would block import. Zendesk must be on a Suite plan that supports the expected agent count and channel integrations.
Sandbox migration and mapping validation

We run a sandbox migration into a Zendesk trial or sandbox environment using a representative data sample (typically 30 days of conversations, 50 agents, 100 tickets). The customer's support operations lead validates that conversations are readable as tickets, agent attribution is correct, customer profiles are linked, and metadata fields are populated. Mapping corrections happen here, not in production. This step also surfaces any Zendesk field type mismatches (date formats, picklist values, text lengths) before full extraction begins.
Data extraction in plan-tiered windows

We extract REVE Chat data via the REST API with pagination and rate-limit handling. Conversations within the applicable retention window are exported with full transcript, session metadata, agent attribution, and linked customer profiles. Chat history retention limits are enforced during extraction: if the source is on Starter (90 days) or Growth (365 days), records outside the window are excluded and noted in the reconciliation report. Agents, customers, departments, and canned responses are extracted in parallel threads and joined to conversation records during the transform phase.
Transform and load into Zendesk

We transform extracted records into Zendesk Ticket, User, Organization, and Comment API payloads. Conversation transcripts become ticket descriptions with comments in chronological order. Agent resolution uses email-based matching against the Zendesk User table. Canned responses become Macros in Zendesk Admin. Chatbot flows are exported as a written JSON and Markdown inventory. Social channel records are mapped to Zendesk channel integration equivalents. We use Zendesk's REST API with batch chunking, exponential backoff on rate-limit responses, and row-count reconciliation after each phase.
Cutover, validation, and automation handoff

We freeze REVE Chat writes during the cutover window, run a final delta migration of any records modified since the last extraction, then confirm Zendesk as the system of record. We deliver the chatbot flow inventory, department-to-group mapping documentation, and a written automation inventory (triggers, routing rules, auto-responders from REVE Chat) for the customer's Zendesk admin to rebuild in Admin Center. We support a 72-hour hypercare window for reconciliation issues. We do not rebuild automations or configure Zendesk routing as part of the migration scope.

Platform deep dives

Context on both ends of the pair

REVE Chat

Source

Strengths

Generous free tier with 5,000 live chat sessions and basic chatbot features for teams evaluating fit before committing.
Omnichannel coverage across web, mobile, Facebook, Viber, WhatsApp, Telegram, and voice in a single dashboard.
AI chatbot builder (Visual Flow Builder and Brain AI) included without requiring a separate chatbot platform subscription.
Co-browsing and screen-sharing bundled at no extra cost, which competitors often gate behind higher tiers.
Per-seat pricing at $14.99/month on Growth is competitive for small to mid-market teams needing multichannel support.

Weaknesses

Documentation gaps and poor API discoverability make setup and integration work difficult for technical teams.
Limited third-party integrations compared to established helpdesk platforms, forcing custom API workarounds at scale.
Interface and feature set described by some users as dated, with slower update cadence than AI-native competitors.
Ticketing is secondary to the conversation stream, lacking SLA tooling, ticket lifecycle depth, and structured reporting.
Occasional chat interface lag reported by users handling high-volume sessions, disrupting agent workflow.

Zendesk

Destination

Strengths

Well-documented REST API with broad endpoint coverage for Tickets, Users, Organizations, and Help Center.
Rich automation primitives: Triggers (event-driven), Automations (time-based), and Macros with variable substitution.
Multi-brand support enables large organizations to route and isolate support by product line or subsidiary.
Scalable from small teams on Team plan to global enterprises on Enterprise Plus with sandbox and disaster recovery options.
Large partner ecosystem and marketplace with hundreds of pre-built integrations reduces integration work at deployment.

Weaknesses

Per-agent pricing with aggressive feature gating makes lower tiers feel artificially limited.
No native full-KB export — Help Center content requires API scripting to extract.
AI features are add-on priced and behave inconsistently, not deeply embedded in core workflows.
Implementation timelines for complex multi-channel setups routinely exceed initial estimates by weeks or months.
Knowledge base and help center functionality are separate from core ticketing with their own permission model and versioning.

	REVE Chat Source	Zendesk Destination
Strengths	Generous free tier with 5,000 live chat sessions and basic chatbot features for teams evaluating fit before committing. Omnichannel coverage across web, mobile, Facebook, Viber, WhatsApp, Telegram, and voice in a single dashboard. AI chatbot builder (Visual Flow Builder and Brain AI) included without requiring a separate chatbot platform subscription. Co-browsing and screen-sharing bundled at no extra cost, which competitors often gate behind higher tiers. Per-seat pricing at $14.99/month on Growth is competitive for small to mid-market teams needing multichannel support.	Well-documented REST API with broad endpoint coverage for Tickets, Users, Organizations, and Help Center. Rich automation primitives: Triggers (event-driven), Automations (time-based), and Macros with variable substitution. Multi-brand support enables large organizations to route and isolate support by product line or subsidiary. Scalable from small teams on Team plan to global enterprises on Enterprise Plus with sandbox and disaster recovery options. Large partner ecosystem and marketplace with hundreds of pre-built integrations reduces integration work at deployment.
Weaknesses	Documentation gaps and poor API discoverability make setup and integration work difficult for technical teams. Limited third-party integrations compared to established helpdesk platforms, forcing custom API workarounds at scale. Interface and feature set described by some users as dated, with slower update cadence than AI-native competitors. Ticketing is secondary to the conversation stream, lacking SLA tooling, ticket lifecycle depth, and structured reporting. Occasional chat interface lag reported by users handling high-volume sessions, disrupting agent workflow.	Per-agent pricing with aggressive feature gating makes lower tiers feel artificially limited. No native full-KB export — Help Center content requires API scripting to extract. AI features are add-on priced and behave inconsistently, not deeply embedded in core workflows. Implementation timelines for complex multi-channel setups routinely exceed initial estimates by weeks or months. Knowledge base and help center functionality are separate from core ticketing with their own permission model and versioning.

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Migrate from REVE Chat to Zendesk

What this migration involves

Field-level fidelity

Schema-aware mapping

Relationships preserved

Full activity history

Attachments & notes

Two sides of the same decision

REVE Chat

Zendesk

How REVE Chat objects map to Zendesk

What specifically takes care here

Six steps for a successful REVE Chat to Zendesk data migration

Context on both ends of the pair

How hard is this migration?

Estimate your REVE Chat to Zendesk migration cost

What are you migrating?

Frequently asked questions about REVE Chat to Zendesk data migrations

Can't find your answer?

Related migrations to explore

Move from REVE Chat.
Land in Zendesk, intact.

Migrate from REVE Chat to Zendesk

What this migration involves

Field-level fidelity

Schema-aware mapping

Relationships preserved

Full activity history

Attachments & notes

Two sides of the same decision

REVE Chat

Zendesk

How REVE Chat objects map to Zendesk

What specifically takes care here

Six steps for a successful REVE Chat to Zendesk data migration

Context on both ends of the pair

How hard is this migration?

Estimate your REVE Chat to Zendesk migration cost

Frequently asked questions about REVE Chat to Zendesk data migrations

Can't find your answer?

How long does a REVE Chat to Zendesk migration take?

Do REVE Chat chatbot flows and automations migrate to Zendesk?

What happens to conversations outside the plan retention window?

What does a REVE Chat to Zendesk migration typically cost?

How do we handle the seat ceiling difference between REVE Chat and Zendesk plans?

Can we migrate social channel message history from Facebook, WhatsApp, or Telegram?

Do REVE Chat canned responses and saved replies migrate?

What historical reporting context survives the migration?

Related migrations to explore

Move from REVE Chat. Land in Zendesk, intact.

Move from REVE Chat.
Land in Zendesk, intact.