Migrate your Deskhero data
AI-powered helpdesk built around knowledge base enrichment and Shopify-native ticket context. Small-to-mid support teams use it when Shopify customer data and live product pricing need to surface in every ticket response.
In its favor
Why people choose Deskhero
The signal that keeps Deskhero on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Teams already running Shopify choose Deskhero because it queries live pricing and stock data from the Shopify API at reply time rather than caching stale values, keeping every AI-drafted response accurate.
The platform requires no credit card and gets teams productive in under ten minutes — connect a mailbox, add a website to scrape, and the AI begins drafting context-enriched replies immediately.
Small support teams appreciate the per-agent pricing model with a three-agent minimum, making total cost predictable for teams under ten support staff.
The AI drafts replies but never sends them automatically — agents always review and approve, which reduces customer-facing errors and earns trust from teams wary of fully autonomous support.
Multilingual conversation handling and language-detection rules let teams serving non-English customers triage and respond without switching tools.
The three-agent minimum billing forces small solo operators or two-person teams to pay for an unused seat, pushing them toward platforms with no minimum headcount.
Billing escalates quickly with ticket volume — the per-1,000-ticket overage charge on top of per-agent pricing compounds for high-volume support operations.
Advanced features like AI-training data and SSO are gated to higher tiers, meaning teams needing those capabilities must upgrade before the platform delivers its core promise.
Customers report that copycat domains (deskhero.ca) create confusion — the actual helpdesk software is deskhero.com while the .ca domain sells physical keyboards, leading to misdirected signups and support confusion.
Reasons to switch
Why people leave Deskhero
The recurring reasons buyers give for replacing Deskhero. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Deskhero 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
Deskhero pricing overview
Per-agent pricing with a three-agent minimum. Small plans start at $29.85/month and scale via per-agent overage charges. Ticket volume, Shopify products, scraped pages, list entries, and form counts each have separate per-unit overage fees on top of the base plan.
Small
Tier 1 of 3
$29.85/month
What's included
Need help selecting your Helpdesk?
Book a free 30 minute consultationPricing is informational. FlitStack AI does not bill on Deskhero's schedule — see our quote-based pricing →
What gets migrated
Deskhero object support
Object-by-object support for Deskhero migrations. Per-pair details surface during scoping.
Tickets
Fully supportedTickets are the primary object in Deskhero. We migrate tickets with their full conversation threads, status, priority, and timestamps. Custom ticket fields are preserved as key-value pairs. Deskhero does not cache Shopify live data inside tickets — product context is stored as references, so we migrate those references intact and flag them for destination-side Shopify reconnection.
Conversations
Fully supportedConversations are stored as nested message objects inside each Ticket. We preserve message authorship, timestamps, attachments references, and internal/external flags. Agent replies and customer messages are sequenced by timestamp during import.
Knowledge Base Articles
Fully supportedArticles are standalone objects fed into the AI response engine. We migrate articles with their sections, categories, and attachment references. If the destination uses a different knowledge base schema, we flatten hierarchical articles into flat documents and preserve category assignments as tags.
Mailboxes
Mapping requiredMailboxes represent connected Gmail or Outlook accounts with two-way sync. We migrate mailbox configurations and map them to the destination's inbox channel model. IMAP/SMTP credentials cannot be migrated — customers must re-authenticate their mailbox connection at the destination.
Custom Fields
Mapping requiredDeskhero supports up to 100 (Small) or 250 (Large) custom fields across tickets and contacts. Custom field definitions and their current values per ticket are migrated. Field type mapping depends on the destination — we convert Deskhero field types to nearest equivalents and flag unsupported field types for manual review.
Groups
Mapping requiredGroups define team routing and agent permissions. We migrate Group definitions and their agent membership lists. If the destination uses a role-based access model instead of groups, we map group memberships to the nearest role or team structure.
Lists and List Entries
Mapping requiredLists are segmentation objects with up to 5,000 or 10,000 entries depending on tier. We migrate list definitions and their entry records. Entries are tied to customer records by email or customer ID — we resolve these references and remap them in the destination.
Forms
Mapping requiredForms generate tickets from web submissions. We migrate form definitions (field structure, routing rules) and the submitted records. Form submissions that created tickets are linked via ticket references. Destination form recreation depends on the target platform's form builder capabilities.
Automation Rules
Mapping requiredAutomation rules trigger on language, tone, or subject conditions to assign, tag, or triage tickets. We map these to the destination's automation or workflow engine. Not all platforms support the same condition triggers — we flag language-based and tone-based rules as requiring destination-specific equivalents.
Web Scraped Pages
Mapping requiredDeskhero scrapes website pages to build knowledge base context. We migrate the scraped page URLs and their extracted content. The destination must either support its own scraping or have the content re-scraped there — we export the raw extracted text and category assignments.
Shopify Data
Mapping requiredProducts and customer data sync from Shopify. Deskhero never caches price or stock — it queries live via Shopify API. We migrate Shopify store references, product ID mappings, and customer associations. Price and stock must be reconnected via API in the destination environment.
| Object | Support | Notes |
|---|---|---|
| Tickets | Fully supported | Tickets are the primary object in Deskhero. We migrate tickets with their full conversation threads, status, priority, and timestamps. Custom ticket fields are preserved as key-value pairs. Deskhero does not cache Shopify live data inside tickets — product context is stored as references, so we migrate those references intact and flag them for destination-side Shopify reconnection. |
| Conversations | Fully supported | Conversations are stored as nested message objects inside each Ticket. We preserve message authorship, timestamps, attachments references, and internal/external flags. Agent replies and customer messages are sequenced by timestamp during import. |
| Knowledge Base Articles | Fully supported | Articles are standalone objects fed into the AI response engine. We migrate articles with their sections, categories, and attachment references. If the destination uses a different knowledge base schema, we flatten hierarchical articles into flat documents and preserve category assignments as tags. |
| Mailboxes | Mapping required | Mailboxes represent connected Gmail or Outlook accounts with two-way sync. We migrate mailbox configurations and map them to the destination's inbox channel model. IMAP/SMTP credentials cannot be migrated — customers must re-authenticate their mailbox connection at the destination. |
| Custom Fields | Mapping required | Deskhero supports up to 100 (Small) or 250 (Large) custom fields across tickets and contacts. Custom field definitions and their current values per ticket are migrated. Field type mapping depends on the destination — we convert Deskhero field types to nearest equivalents and flag unsupported field types for manual review. |
| Groups | Mapping required | Groups define team routing and agent permissions. We migrate Group definitions and their agent membership lists. If the destination uses a role-based access model instead of groups, we map group memberships to the nearest role or team structure. |
| Lists and List Entries | Mapping required | Lists are segmentation objects with up to 5,000 or 10,000 entries depending on tier. We migrate list definitions and their entry records. Entries are tied to customer records by email or customer ID — we resolve these references and remap them in the destination. |
| Forms | Mapping required | Forms generate tickets from web submissions. We migrate form definitions (field structure, routing rules) and the submitted records. Form submissions that created tickets are linked via ticket references. Destination form recreation depends on the target platform's form builder capabilities. |
| Automation Rules | Mapping required | Automation rules trigger on language, tone, or subject conditions to assign, tag, or triage tickets. We map these to the destination's automation or workflow engine. Not all platforms support the same condition triggers — we flag language-based and tone-based rules as requiring destination-specific equivalents. |
| Web Scraped Pages | Mapping required | Deskhero scrapes website pages to build knowledge base context. We migrate the scraped page URLs and their extracted content. The destination must either support its own scraping or have the content re-scraped there — we export the raw extracted text and category assignments. |
| Shopify Data | Mapping required | Products and customer data sync from Shopify. Deskhero never caches price or stock — it queries live via Shopify API. We migrate Shopify store references, product ID mappings, and customer associations. Price and stock must be reconnected via API in the destination environment. |
Gotchas
What to watch for in Deskhero migrations
Issues we've hit on past Deskhero migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
Shopify live-data model means no historical price or stock snapshot migrates
Three-agent minimum creates stranded cost for very small teams
Mailbox two-way sync requires re-authentication at destination
No documented bulk export API for self-service data portability
| Severity | Issue |
|---|---|
| Medium | Shopify live-data model means no historical price or stock snapshot migrates |
| Low | Three-agent minimum creates stranded cost for very small teams |
| Medium | Mailbox two-way sync requires re-authentication at destination |
| High | No documented bulk export API for self-service data portability |
Leaving Deskhero?
Where Deskhero customers move next
7 destinations Deskhero can migrate to.
How a Deskhero migration works
Four steps, Deskhero-specific
Connect
OAuth 2.0 (Google, Microsoft sign-on); API access available on Large plan into Deskhero. Scopes limited to read-only on the data we move.
Map
We translate Deskhero-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Deskhero quirks before production.
Migrate
Full migration with Deskhero rate-limit handling. Rollback available throughout.
FAQ
Deskhero migration FAQ
Answers to the questions buyers ask most during Deskhero migration scoping. Not seeing yours? Book a call.
Can't find your answer?
Walk through your Deskhero migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationOther helpdesks we support
Ready when you are
Migrate Deskhero.
Without the rebuild.
Free scoping call with a migration engineer. Tell us about your Deskhero setup and destination — written quote back within a business day.