Helpdesk migration

Migrate from REVE Chat to Salesforce Service Cloud

Field-level mapping, validation, and rollback between REVE Chat and Salesforce Service Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Service Cloud.

REVE Chat logo

REVE Chat

Source

Salesforce Service Cloud

Destination

Salesforce Service Cloud logo

Compatibility

83%

10 of 12

objects map 1:1 between REVE Chat and Salesforce Service Cloud.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

REVE Chat organizes around Conversations and Chat Sessions as the primary objects, with Tickets treated as secondary to the conversation stream. Salesforce Service Cloud uses Cases as the central record of record with Contacts, Accounts, and Assets as related objects, and Live Agent or Messaging for In-App and Web (MIAW) as the chat channel. We resolve the structural gap by threading REVE Chat conversations into Salesforce Cases via EmailMessage records, mapping agents to Salesforce Users, and preserving session metadata (channel source, device, page context) as custom fields on the Case. Chat history retention is plan-tiered in REVE Chat—Starter caps at 90 days, Growth at 365 days, Enterprise at unlimited—so we flag history windows during scoping and recommend a pre-migration export if the account is on a lower tier. Chatbot flows built in REVE Chat's Visual Flow Builder do not migrate as executable logic; we deliver a written inventory of the flow structure for the customer's admin to rebuild in Salesforce's Einstein Bot builder or a third-party chatbot platform. We do not migrate automations, routing rules, or SLA configurations; these require a Service Cloud administrator to configure post-migration based on the migrated routing topology.

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 logo

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

Salesforce Service Cloud logo

Salesforce Service Cloud

What's pulling them in

  • Deep Salesforce ecosystem integration with Sales Cloud, Marketing Cloud, and custom Apex apps creates a single pane of glass for enterprise customer data and cross-functional workflows.
  • Omnichannel case routing — email, chat, phone, social, and messaging — unified under one case object means agents do not lose context when customers switch channels mid-interaction.
  • AI for customer service (Einstein AI / Agentforce) offers automated case classification, suggested replies, and chatbot routing that reduces Tier-1 ticket volume without manual rule authoring.
  • Entitlement and milestone tracking enforces SLA compliance natively, automatically calculating breach windows and surfacing violations to supervisors in dashboards.
  • Salesforce's massive AppExchange ecosystem provides pre-built connectors, industry-specific managed packages, and third-party tools that extend Service Cloud beyond its out-of-box capabilities.

Object mapping

How REVE Chat objects map to Salesforce Service Cloud

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

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

REVE Chat

Conversations

maps to

Salesforce Service Cloud

Case + EmailMessage

1:1
Fully supported

REVE Chat Conversations map to Salesforce Case records with the transcript threaded into EmailMessage records linked to the Case via ParentId. Each conversation's start timestamp becomes the Case CreatedDate, and the channel source (web, mobile SDK, Facebook, WhatsApp, Telegram) populates the Case Origin field. We use the Bulk API 2.0 for large conversation batches with exponential backoff on API limit responses. Note that REVE Chat's Starter plan retains only 90 days of history; if the source account is on Starter, conversations older than 90 days cannot be recovered and we flag this gap before migration begins.

REVE Chat

Chat Sessions

maps to

Salesforce Service Cloud

Case Custom Fields

1:1
Fully supported

Chat Session metadata (device type, browser, page URL, visitor IP, session outcome, referring source) transfers to custom fields on the Case record. We create custom fields rc_device_type__c, rc_page_url__c, rc_referral_source__c, and rc_session_outcome__c in Salesforce before migration begins. Session duration migrates as a custom integer field rc_session_duration_seconds__c for reporting.

REVE Chat

Agents

maps to

Salesforce Service Cloud

User

1:1
Fully supported

REVE Chat Agents map to Salesforce User records by email match. Role assignments (admin, supervisor, agent) from REVE Chat map to Salesforce Permission Sets: we assign the Service Cloud User permission set and, if the agent will use chat, the Messaging for In-App and Web User permission set. Agents without a matching Salesforce User enter a reconciliation queue for the admin to provision. We verify that the Salesforce destination plan has sufficient user licenses before migration; REVE Chat's Growth plan caps at 25 agents, which we compare against the Salesforce user count at scoping.

REVE Chat

Tickets

maps to

Salesforce Service Cloud

Case

1:1
Fully supported

REVE Chat Ticket records map to Salesforce Case with status, priority, assignee, tags, and linked conversation preserved. REVE Chat ticket status values (open, pending, resolved, closed) map to Salesforce Case Status values that we configure as a Status Picklist during schema design. Tags migrate to a multi-select picklist or custom label field. The link between the REVE Chat Ticket and the originating Conversation is preserved as a custom external ID field rc_ticket_id__c on the Case.

REVE Chat

Customers

maps to

Salesforce Service Cloud

Contact + Account

1:1
Fully supported

REVE Chat Customer profiles (name, email, phone, company, custom labels) map to Salesforce Contact and Account records. Email is the dedupe key. If the REVE Chat customer has a company field, we resolve or create the Account first, then link the Contact to the Account via AccountId. Custom labels from REVE Chat migrate as key-value pairs to a custom text area field rc_custom_labels__c on Contact. If the customer's contact email already exists in Salesforce, we link to the existing Contact rather than creating a duplicate.

REVE Chat

Canned Responses

maps to

Salesforce Service Cloud

Email Templates or Quick Text

1:1
Fully supported

REVE Chat canned responses with shortcut triggers map to Salesforce Email Templates or Quick Text depending on how the destination team intends to use them. Email Templates suit macro-based replies sent via Case email actions; Quick Text suits agent-inserted snippets during chat. We preserve shortcut keys as the Quick Text Name or Email Template DeveloperName. Note that REVE Chat's canned response availability is plan-gated on the source side; we verify availability against the source plan during scoping.

REVE Chat

Departments

maps to

Salesforce Service Cloud

Queue + Omni-Channel Service Channel

lossy
Fully supported

REVE Chat Departments with routing rules map to Salesforce Queues and Omni-Channel Service Channels. Each department becomes a Queue with the associated Salesforce Users as members, and a Service Channel record linking the Queue to Cases originating from that department. Routing configurations from REVE Chat (round-robin, priority assignment) are documented in the routing handoff document for the customer's admin to rebuild in Omni-Channel routing configuration.

REVE Chat

Chatbots (Visual Flow Builder)

maps to

Salesforce Service Cloud

Documentation only (Einstein Bot or third-party)

1:1
Fully supported

REVE Chat chatbot flows built in the Visual Flow Builder are exported as structured documentation (JSON export of flow logic where available, screenshot-based walkthrough where not). The Visual Flow Builder uses proprietary branching logic that cannot be automatically imported into Salesforce Einstein Bot or any third-party chatbot platform. We deliver a written inventory of each chatbot's trigger conditions, decision branches, and response actions so the customer's admin or a chatbot implementation partner can rebuild them in Salesforce Einstein Bot Builder post-migration. We do not rebuild chatbot flows as code inside the migration scope.

REVE Chat

Social Channels (Facebook, Viber, WhatsApp, Telegram)

maps to

Salesforce Service Cloud

Case via Social Customer Service

1:1
Mapping required

Social channel messages from REVE Chat (Facebook Messenger, Viber, WhatsApp, Telegram) migrate to Salesforce Cases using Social Customer Service features. Each social channel message becomes an EmailMessage record on the Case, with the channel recorded in a custom field rc_social_channel__c. Note that Instagram, WhatsApp, Viber, and Telegram may be add-ons on REVE Chat's Starter plan; we verify channel availability against the source plan during scoping and flag any records that may not exist on the source if the relevant add-on is not active.

REVE Chat

Media Attachments

maps to

Salesforce Service Cloud

ContentDocument + ContentVersion

1:1
Fully supported

Files and images shared within REVE Chat conversations are exported alongside transcript records. We preserve attachment URLs pointing to REVE Chat's storage and migrate them as Salesforce ContentDocument records linked to the parent Case via ContentDocumentLink. Customers should confirm whether they want to download attachments to Salesforce Files (ContentVersion) or maintain them as external URLs; this decision is made during scoping.

REVE Chat

Reports and Analytics

maps to

Salesforce Service Cloud

Case-based Reports (manual rebuild)

lossy
Mapping required

REVE Chat reporting metrics (response time, agent activity, session counts, chatbot performance) are exported as available and documented in a reporting handoff. These metrics do not create live Salesforce reports automatically; we deliver a written inventory of the source metrics with recommended Salesforce report types (Case reports, Case History reports, Omni-Channel reports) so the customer's admin can build equivalent reports in Salesforce Reports & Dashboards post-migration.

REVE Chat

Voice Calls

maps to

Salesforce Service Cloud

Case (Voice origin)

1:1
Mapping required

REVE Chat voice call records (duration, direction, outcome) migrate to Salesforce Cases with the origin set to Phone and call metadata in custom fields rc_call_duration__c and rc_call_direction__c. Note that REVE Chat's voice channel requires separate infrastructure validation if the customer is using the voice bot feature; we flag this during scoping. For voice-native integration, Salesforce Service Cloud Voice (SCV) requires a separate telephony partner (Amazon Connect, RingCentral, Talkdesk) which is outside the migration scope.

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 logo

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

Salesforce Service Cloud logo

Salesforce Service Cloud gotchas

High

Data Export 512MB file size cap breaks large org exports

High

API Daily Request Limits vary by license edition

High

No automatic data backup in base Salesforce

Medium

Picklist dependencies silently break records when unmapped

Medium

Workflow rules fire unexpectedly during data load

Pair-specific challenges

  • REVE Chat plan-tiered history means older conversations may not exist

    REVE Chat enforces different chat history retention windows per plan: Starter retains 90 days, Growth retains 365 days, and Enterprise retains unlimited. We identify the source plan tier during scoping and flag whether any historical conversations fall outside the retention window. Conversations that have aged out cannot be recovered from the source regardless of API access. If the customer is on Starter or Growth and requires historical conversations beyond the retention window, we recommend a pre-migration export from REVE Chat before the migration window begins. We cannot recover records that no longer exist in REVE Chat.

  • Chatbot flows do not migrate as executable logic

    REVE Chat chatbot flows built in the Visual Flow Builder use proprietary branching logic that has no direct import path into Salesforce Einstein Bot or any third-party chatbot platform. We export flow documentation and deliver a written inventory of each chatbot's trigger conditions, decision branches, and response actions, but we do not rebuild them as code. The customer's admin or a chatbot implementation partner must rebuild flows in Einstein Bot Builder post-migration. Skipping this step leaves the destination without automated chat deflection, which may increase agent case volume immediately after cutover.

  • REVE Chat API documentation requires direct outreach to obtain

    G2 reviews and Reddit threads consistently report that REVE Chat's API documentation is not publicly indexed, making it difficult to locate auth tokens, account IDs, and endpoint references. Public documentation gaps require us to request custom API documentation from the REVE Chat product team during scoping, with customers reporting receipt within 2-3 business days on direct request. We do not rely solely on public documentation for migration feasibility determination. This adds one to three business days to the discovery phase compared to migrations from platforms with publicly documented APIs.

  • Omni-Channel routing requires Service Cloud User licensing for every agent

    Every agent who will receive cases or chat sessions in Salesforce Service Cloud must have the Service Cloud User checkbox activated on their User record and, for Messaging for In-App and Web, the Messaging for In-App and Web User Permission Set License assigned. This is a per-agent license requirement, not a feature toggle. During scoping we verify that the destination Salesforce org has sufficient Service Cloud user licenses for all migrating agents. If the org is on a Salesforce edition with limited Service Cloud licenses, the customer may need to upgrade or assign licenses selectively.

Migration approach

Six steps for a successful REVE Chat to Salesforce Service Cloud data migration

  1. Discovery and plan-tier scoping

    We audit the source REVE Chat account across plan tier (Starter, Growth, Enterprise), chat history retention window, agent count, department count, chatbot flow count, canned response count, social channel add-on status, and conversation volume by channel. We cross-reference the plan tier against the history window to identify conversations that may have aged out. The discovery output is a written migration scope document listing record counts, retention gaps, agent-to-User mapping, department-to-queue mapping, and a recommendation for any pre-migration REVE Chat data export needed before cutover.

  2. Salesforce org readiness and schema design

    We verify the destination Salesforce org's edition and Service Cloud license count against the agent migration scope. We design the Case record type, Status picklist values, and custom fields to capture REVE Chat session metadata (device type, page URL, session duration, social channel source, ticket tags). We create the department-to-queue mapping and Omni-Channel service channel configuration as a design document for the customer's Salesforce admin to implement before production migration. Schema is deployed into a Salesforce Sandbox first for validation against the migrated data.

  3. Agent and Contact pre-provisioning

    We extract every distinct REVE Chat Agent and Customer profile and match them against the Salesforce User and Contact tables by email. Agents without a matching Salesforce User enter a provisioning queue for the customer's admin. Contacts without a matching Salesforce Contact are prepared for upsert. We verify that the Salesforce org has sufficient Service Cloud user licenses for all migrating agents before the record migration phase begins.

  4. Sandbox migration and reconciliation

    We run a full migration into the Salesforce Sandbox using production-like data volume. The customer's Service Cloud lead reconciles record counts (Cases in, Contacts in, Accounts in), spot-checks session metadata on 25-50 random Case records against the REVE Chat source, and validates the department-to-queue mapping. Any field mapping corrections, custom field additions, or queue configuration issues surface here before production migration begins.

  5. Production migration in dependency order

    We run production migration in dependency order: Accounts (from REVE Chat company field), Contacts (with AccountId resolved), Cases (with ContactId, OwnerId, and Status resolved, and transcript threaded as EmailMessage records), Queues (with Omni-Channel service channels linked), Canned Responses (as Email Templates or Quick Text), Social channel records (as Cases with rc_social_channel__c populated), and Media Attachments (as ContentDocument linked to Cases). Each phase emits a row-count reconciliation report. We use the Salesforce Bulk API 2.0 with batch chunking and exponential backoff for large Case and EmailMessage loads.

  6. Cutover, validation, and routing handoff

    We freeze REVE Chat writes during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We deliver the chatbot flow documentation, routing configuration guide, and reporting inventory to the customer's admin team. We support a one-week hypercare window for reconciliation issues raised by the support team. We do not configure Omni-Channel routing, rebuild REVE Chat automations, or rebuild chatbot flows inside the migration scope; these require a Service Cloud administrator or implementation partner post-migration.

Platform deep dives

Context on both ends of the pair

REVE Chat logo

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.
Salesforce Service Cloud logo

Salesforce Service Cloud

Destination

Strengths

  • Enterprise-grade security, compliance certifications, and audit logging available across all paid editions with Shield offering enhanced event monitoring.
  • Scalable multi-tenant cloud architecture supporting orgs from 5 users to 150,000+ seat enterprises without infrastructure management overhead.
  • Omnichannel contact center unifying email, live chat, phone, messaging, and social into a single Case timeline per customer interaction.
  • Rich workflow automation via Salesforce Flow, Process Builder, and Apex triggers enabling complex case escalation, routing, and field updates.
  • Native AI capabilities (Agentforce / Einstein) for case auto-routing, classification, suggested responses, and chatbot escalation without third-party add-ons.

Weaknesses

  • Per-seat pricing model with no contact limits creates unpredictable cost scaling for large organizations adding many agents over time.
  • No automatic data backup — organizations must purchase a third-party backup solution or build manual Data Loader exports to protect against data loss from human error, failed deployments, or integrations overwriting records.
  • Steep learning curve for non-technical users requiring dedicated admin resources and formal training investment before teams reach productive velocity.
  • Annual contract requirements and limited pro-ration on exit create significant switching cost friction, especially for organizations evaluating alternatives mid-cycle.
  • Add-on licensing (CPQ, Einstein Activity Capture, Shield, Data Cloud) can double effective per-seat cost without clear documentation of which features are included in base tiers.

Complexity grading

How hard is this migration?

Standard Helpdesk migration. 1 of 7 objects need a manual workaround.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across REVE Chat and Salesforce Service Cloud.

  • Object compatibility

    B

    1 of 7 objects need a manual workaround.

  • 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

    REVE Chat: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your REVE Chat to Salesforce Service Cloud 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.

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FAQ

Frequently asked questions about REVE Chat to Salesforce Service Cloud data migrations

Answers to the questions buyers ask most during REVE Chat to Salesforce Service Cloud migration scoping. Not seeing yours? Book a call.

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Most migrations land between three and five weeks for accounts under 50,000 conversations and 100 agents with no chatbot flow documentation scope or Omni-Channel rebuild. Migrations with large engagement histories (over 200,000 conversation records), Enterprise-tier history exports, multi-website session aggregation, or cross-channel social message preservation move to seven to eleven weeks because of plan-tiered history export sequencing, department-to-queue mapping, and the routing design work required before Omni-Channel activation.

Adjacent paths

Related migrations to explore

Ready when you are

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