Helpdesk migration

Migrate from Keeping to Gorgias

Field-level mapping, validation, and rollback between Keeping and Gorgias. We move data and schema; workflows are rebuilt natively in Gorgias.

Keeping logo

Keeping

Source

Gorgias

Destination

Gorgias logo

Compatibility

67%

8 of 12

objects map 1:1 between Keeping and Gorgias.

Complexity

CModerate

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Keeping is a Slack-native helpdesk built for small teams who want to manage support tickets without leaving their messaging tool. It has no standalone database export, no native CRM layer, and no reporting module; the customer record lives inside ticket metadata and Slack channel context. Migrating to Gorgias means moving from a messaging-tool extension to a dedicated e-commerce helpdesk with deep Shopify integration, per-ticket pricing, and a full API for contacts and tickets. We extract every Keeping ticket and its associated customer context from Slack-thread export, reconstruct the customer record in a staging layer, then map it to the Gorgias Customer and Ticket objects. We preserve the original ticket timestamps, assignee resolution, and any custom properties stored in Slack message metadata. We do not migrate Slack Channels, automations, macros, or reports as code; we deliver a written inventory of these for your admin to rebuild in Gorgias. Gorgias charges per ticket volume on all tiers, not per-agent, which changes the cost model significantly for high-volume support teams.

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

Keeping logo

Keeping

What's pushing teams away

  • Multi-channel support is limited — teams that grow into web chat, social, or voice channels typically move to Zendesk, Freshdesk, or HelpScout for unified routing.
  • Reporting depth is shallow versus standalone helpdesks; analytics-driven teams find the Advanced tier dashboards limited.
  • Enterprise tier carries a 10-user minimum at $49/user/month — small teams that want SLA uptime guarantees must commit at a higher floor than competitors.
  • Gmail dependency means teams migrating off Gmail (to Outlook, Spike, or a domain helpdesk) lose the core integration value.
  • Public review footprint is thinner than Hiver, HelpScout, or Front, making peer comparison harder for procurement teams.

Choosing

Gorgias logo

Gorgias

What's pulling them in

  • Shopify-native integrations pull order details, shipment status, and return data directly into the ticket view, eliminating the need for agents to switch between apps.
  • Unlimited user seats mean growing support teams do not trigger billing changes; pricing scales only on billable ticket volume.
  • AI Agent automates responses to high-volume queries like order status and returns, measurably reducing the number of billable tickets each month.
  • Omnichannel inbox consolidates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.
  • SOC 2 Type II certification and GDPR-aligned data handling satisfy enterprise procurement requirements for customer support platforms.

Object mapping

How Keeping objects map to Gorgias

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

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

Keeping

Ticket

maps to

Gorgias

Ticket

1:1
Fully supported

Keeping tickets are the primary data object and map directly to Gorgias Ticket. We extract the ticket subject, body, channel of origin (email or Slack), status, assignee (by email resolution to Gorgias User), priority, and tags from the Slack thread. The original Slack thread timestamp becomes the Gorgias created_datetime and last_message_datetime fields. Custom properties stored in Slack message metadata (such as order numbers or internal tracking flags) map to Gorgias custom fields on Ticket, which we pre-create via the Gorgias API using the external_id, object_type=Ticket, label, and definition structure.

Keeping

Customer

maps to

Gorgias

Customer

1:1
Fully supported

Keeping does not have a standalone Customer object; customer data lives inside ticket metadata as email addresses, names, and sometimes phone numbers extracted from Slack thread context. We reconstruct the customer record by iterating every ticket, extracting unique customer identifiers, and deduplicating by email. The reconstructed Customer record maps to Gorgias Customer with email, name, phone, and any extracted e-commerce identifiers. Customer external_id is set to the Keeping ticket ID for traceability. If no email is present in the thread, we flag that record for manual review during migration.

Keeping

Slack Channel

maps to

Gorgias

Tag or Macro

lossy
Fully supported

Keeping organizes tickets by Slack Channel, and each channel represents a support queue or topic. We treat Slack Channels as Gorgias Tags on the Ticket object, preserving the channel-to-tag relationship so that Gorgias agents can filter by the original Keeping queue. Alternatively, if the customer uses Slack Channels as routing rules (e.g., billing-channel routes to a billing team), we convert these to Gorgias Macros with routing actions, though macros are not migrated as code and require rebuild.

Keeping

Engagement: Email

maps to

Gorgias

Message

1:1
Fully supported

Keeping email tickets contain a message thread with sender, recipient, subject, and body. These map to Gorgias Ticket Messages in chronological order. We preserve the original sender email address, timestamp, and message body (plain text or HTML). Any inline images in email bodies migrate as embedded assets linked to the message.

Keeping

Engagement: Slack Thread Reply

maps to

Gorgias

Message

1:1
Fully supported

Slack thread replies from agents and customers are captured as ticket messages in Keeping. We map each Slack thread message to a Gorgias Ticket Message with the same timestamp sequence, preserving the conversation order. The Slack message author maps to the Gorgias User by email resolution. Customer replies in the Slack thread map to customer-side messages in the Gorgias ticket.

Keeping

Attachment (Slack message file)

maps to

Gorgias

Attachment

1:1
Fully supported

Keeping tickets attached to Slack messages may contain files (screenshots, PDFs, order exports). We extract these from the Slack thread export and attach them to the corresponding Gorgias Ticket Message. We flag any attachments that were stored as Slack message files but are inaccessible due to workspace permission changes or deleted workspace files. Attachments migrate as binary blobs via the Gorgias API, preserving filename and MIME type.

Keeping

Agent / Owner

maps to

Gorgias

User

1:1
Fully supported

Keeping Agents are Slack workspace members who have been given access to specific channels. We resolve Keeping agents to Gorgias Users by email match. Any agent without an email in the Keeping export is flagged in the reconciliation queue. We provision the Gorgias Users (name, email, role) before ticket import so that assignee resolution is satisfied at insert time.

Keeping

Customer Email Address

maps to

Gorgias

Customer Email

1:1
Fully supported

Email addresses extracted from Keeping tickets become the primary identifier on the Gorgias Customer object. The email address is set as the Customer.email field and used as the dedupe key during import. If the same customer appears across multiple tickets (same email address), we merge them into a single Gorgias Customer with multiple associated tickets.

Keeping

Ticket Timestamp

maps to

Gorgias

Ticket created_datetime and last_message_datetime

lossy
Fully supported

Keeping derives ticket creation time from the first Slack message in the thread. We preserve this as the Gorgias Ticket created_datetime and last_message_datetime fields. This is critical for SLA reporting in Gorgias and for historical audit. We do not reset timestamps to migration time; the original Slack timestamp is the system of record.

Keeping

Ticket Tags

maps to

Gorgias

Tag

lossy
Fully supported

Keeping supports channel-based tagging and any custom tags applied by agents. We extract all tags from the Keeping ticket metadata and map them to Gorgias Tags on the Ticket. Tags are stored as string arrays in Gorgias. If tags represent categories (billing, shipping, refund), they map directly; if tags represent internal routing (assigned-to-jane, escalated), we document them for the customer's admin to configure as Gorgias Rules or Macros post-migration.

Keeping

Slack Message Metadata (custom properties)

maps to

Gorgias

Custom Field

lossy
Fully supported

Keeping stores some custom metadata in Slack message properties (such as order IDs, internal tracking codes, or source attribution). We extract these as key-value pairs and create matching Gorgias custom fields on the Ticket or Customer object via the Gorgias API. The custom field definition must specify the type (boolean, number, text) and the object_type (Ticket or Customer). We pre-create these fields before any record import.

Keeping

Knowledge Base (if applicable)

maps to

Gorgias

Help Center Article

1:1
Fully supported

If Keeping has been used to share knowledge base articles via Slack (less common), we extract these as plain-text documents and map them to Gorgias Help Center Articles. Gorgias supports article creation via API with title, body, and publication status. This is a lower-confidence migration path because Keeping has no native knowledge base feature; articles are typically shared as Slack messages and require manual content extraction.

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.

Keeping logo

Keeping gotchas

High

Data lives in Gmail, not Keeping — extraction needs Gmail API

High

Internal notes do not appear in Gmail

Medium

Enterprise tier has a 10-user minimum at $49/user/month

Medium

No public API surface beyond the Chrome extension

Gorgias logo

Gorgias gotchas

High

AI Agent adds outcome-based fees on top of billable ticket costs

High

Overage billing for tickets scales nonlinearly

Medium

API rate limits restrict bulk export throughput

Medium

Agent data visibility cannot be restricted by role for GDPR use cases

Low

Knowledge Base translations require separate API calls per locale

Pair-specific challenges

  • Keeping has no native database export

    Keeping does not expose a REST API or CSV export for ticket history, customer records, or agent data. The only data source is Slack message history: tickets live inside Slack Channels, and customer context lives inside Slack thread messages. We must parse the Slack thread export (channel by channel, message by message) to reconstruct tickets and customer records. This extraction process is iterative and error-prone if Slack messages were deleted, threads were archived, or workspace permissions changed. We run a pre-migration Slack export audit to identify gaps before committing to a timeline.

  • Customer records must be reconstructed from ticket metadata

    Keeping stores no standalone Customer object. The customer's name, email, and phone number exist only within ticket threads as Slack message metadata or quoted text. We deduplicate across all tickets by email to build the Gorgias Customer record. If a customer contacted support from multiple email addresses, we create separate Customer records and document the merge decision for the customer's admin. If no email address is present in a ticket (Slack-only contact without email capture), we flag those records and assign them a placeholder email for manual review in Gorgias.

  • Gorgias does not allow contact export as CSV

    Gorgias does not expose a CSV export for Customer records via its standard export tool. Only ticket data exports as CSV (without message bodies). Full ticket export including message content requires the Gorgias REST API. This means that if a rollback becomes necessary, the only path back to Keeping is re-importing via Slack messages, which is not supported natively by either platform. We mitigate this risk by maintaining a full JSON backup of the migrated dataset in our staging environment for 30 days post-migration.

  • Automations, Macros, and Rules do not migrate

    Gorgias Macros, Rules, and automation workflows (e.g., order status auto-responses, refund triggers, intent detection routing) are configuration objects that do not transfer from Keeping because Keeping has no equivalent automation layer. We deliver a written inventory of every automation concept implied by Keeping's ticket tagging and Slack Channel routing patterns, with recommended Gorgias Rule and Macro configurations. The customer's admin rebuilds these in Gorgias Settings. Keeping's Slack-based routing (e.g., a specific channel routed to a specific team) maps to Gorgias Rules with channel-based conditions.

  • Gorgias pricing is per-ticket volume, not per-agent

    Gorgias charges based on monthly ticket count (Starter 50/month, Basic 300/month, Pro 2,000/month) with per-ticket overage and unlimited agent seats on all paid plans. Keeping's pricing is tied to Slack workspace size. Teams migrating from Keeping should model their monthly ticket volume against Gorgias tiers before committing. High-volume months (Black Friday, product launches) may trigger overage charges that did not exist in Keeping's flat-rate model. We include a ticket volume analysis in the discovery phase to recommend the correct Gorgias tier.

Migration approach

Six steps for a successful Keeping to Gorgias data migration

  1. Slack export audit and data mapping

    We request a full Slack workspace export from the Keeping admin covering all support channels, including archived threads and any message edits. We parse the export channel by channel, identifying ticket boundaries (first message in a thread is the ticket open), customer identifier locations (email in message metadata or quoted text), agent attributions, and attachment URLs. We produce a pre-migration data map showing estimated ticket count, customer deduplication estimate, attachment count, and any data gaps (deleted messages, inaccessible files). This audit determines the migration timeline and flags any records that require manual customer-record construction.

  2. Gorgias schema pre-creation

    We provision the Gorgias destination environment: creating User accounts for each resolved agent, pre-creating any custom fields on Ticket and Customer objects (via the Gorgias API POST /api/custom-fields with object_type, label, definition, and required flags), and setting up Tags that mirror the Keeping Slack Channel structure. We configure the Gorgias inbox routing rules for each channel-to-team mapping derived from the Keeping Slack architecture. This step runs before any record import so that all lookup dependencies are satisfied at insert time.

  3. Customer record reconstruction

    We iterate every Keeping ticket in the parsed Slack export, extract unique customer identifiers (email, name, phone), and build a deduplicated Customer staging table. For each Customer record, we associate all Ticket IDs from which that customer's data was extracted. Customers with no email are flagged with a placeholder and routed to the manual review queue. We write the Customer records to Gorgias via the REST API before any Ticket import, ensuring the Customer ID is available for the Ticket-to-Customer relationship.

  4. Ticket and message import

    We import Keeping tickets to Gorgias Tickets in chronological order. Each Ticket is linked to its reconstructed Customer by email lookup. Agent assignment resolves by matching the Slack message author to the pre-provisioned Gorgias User by email. Message history (email body and Slack thread replies) migrates as Ticket Messages in sequence, preserving the original timestamps. Attachments download from Slack, are stored in a temporary file store, and are uploaded to the corresponding Gorgias Ticket Message via the API.

  5. Reconciliation and validation

    We produce a row-count reconciliation report comparing Keeping ticket counts (as parsed from Slack) against Gorgias Ticket counts, Customer counts against deduplication estimates, and Message counts against thread reply totals. We spot-check 20-30 randomly selected tickets in Gorgias against the source Slack threads, validating subject accuracy, customer linkage, timestamp preservation, and message sequence. Any discrepancies are corrected in the Gorgias environment before the cutover window opens. We do not modify the source Keeping data at any point.

  6. Cutover and automation handoff

    We freeze new ticket creation in Keeping during the cutover window, run a final delta migration of any tickets created or updated since the initial export, and then mark the migration as complete. We deliver the written automation inventory documenting the Slack Channel routing patterns as recommended Gorgias Rules, the tagging structure as Tags, and any implied macros for the customer's admin to implement. We support a five-business-day hypercare window for reconciliation issues. We do not rebuild automations or configure macros as part of the migration scope; those are separate configuration engagements.

Platform deep dives

Context on both ends of the pair

Keeping logo

Keeping

Source

Strengths

  • Gmail-native — works inside the tool teams already use.
  • Per-seat pricing starting at $12/user/month is competitive for small teams.
  • Collision detection, internal notes, assignment, and tags add ticket discipline to Gmail.
  • Native integrations with ClickUp, Shopify, HubSpot, and Zapier.
  • SOC2 compliance.

Weaknesses

  • Limited multi-channel support (email-only via Gmail).
  • Reporting depth shallower than standalone helpdesks.
  • Enterprise tier requires 10-user minimum.
  • No public REST API documented.
  • Tied to Gmail — migrating off Gmail breaks the value prop.
Gorgias logo

Gorgias

Destination

Strengths

  • Shopify and BigCommerce integrations surface order, return, and shipment data natively inside every ticket.
  • Unlimited agent seats remove per-user licensing friction as support teams grow.
  • AI Agent reduces billable ticket volume through automated resolution of high-frequency queries.
  • SOC 2 Type II certified with GDPR-aligned data handling for enterprise procurement readiness.
  • Omnichannel inbox aggregates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.

Weaknesses

  • Ticket-volume pricing with overage fees creates unpredictable monthly costs during seasonal traffic spikes.
  • Custom reporting is shallow; raw event-level data export for BI tooling is not natively supported.
  • Knowledge Base, Macros, and Rules lack simple export tooling, making competitive migrations complex.
  • GDPR compliance limitations mean customer data cannot be hidden from agents by role, blocking use by teams with freelance staff.
  • Performance and glitch reports emerge in G2 reviews at higher ticket volumes.

Complexity grading

How hard is this migration?

Moderate Helpdesk migration. 4 of 7 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Keeping and Gorgias.

  • Object compatibility

    C

    4 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

    Keeping: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Keeping to Gorgias 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 Keeping to Gorgias data migrations

Answers to the questions buyers ask most during Keeping to Gorgias migration scoping. Not seeing yours? Book a call.

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Keeping has no standalone database and no export API. The only data source is Slack message history. We work with the Keeping admin to request a full Slack workspace export (channels, messages, files, and edits) covering the relevant support channels. We parse this export to reconstruct tickets, extract customer records, and identify attachment URLs. The quality of the migration depends on the completeness of the Slack export: archived channels, deleted messages, and inaccessible workspace files create gaps that we document in the pre-migration audit.

Adjacent paths

Related migrations to explore

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