CRM migration
Field-level mapping, validation, and rollback between Dashly and HubSpot. We move data and schema; workflows are rebuilt natively in HubSpot.
Dashly
Source
HubSpot
Destination
Compatibility
10 of 10
objects map 1:1 between Dashly and HubSpot.
Complexity
BStandard
Timeline
3–5 days
Overview
Dashly positions itself as a conversational marketing platform centered on live chat, triggered messages, and team inbox workflows. Its data model stores leads (called 'users' in Dashly), companies, conversation threads, and knowledge base articles. HubSpot CRM uses a contact-company-deal object graph with lifecycle stages, multiple pipelines, and an engagement timeline for calls, emails, and meetings. The migration carries Dashly user profiles and company records into HubSpot Contacts and Companies, conversation history into HubSpot's engagement timeline, and knowledge base articles into HubSpot's knowledge base. The harder problems are mapping Dashly's visitor-level data (which tracks anonymous-to-known transitions) to HubSpot's contact properties, preserving lead source through Dashly's attribution fields into HubSpot's original source fields, and handling Dashly's bot configuration data which has no native HubSpot equivalent and must be rebuilt as HubSpot workflows. FlitStack sequences the migration so foreign keys resolve correctly — companies migrate first, then contacts with their company associations, then conversations linked to the correct contact records. A delta-pickup window captures any new Dashly users or conversations during cutover.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Dashly object lands in HubSpot, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Dashly
User (lead in Dashly)
HubSpot
Contact
1:1Dashly users map directly to HubSpot contacts. Dashly stores user properties (name, email, phone, custom properties) which map to HubSpot contact properties. Dashly user IDs are preserved as a custom Source_System_ID__c field for delta-run de-duplication and traceability. Original creation timestamps are kept in a custom Original_Create_Date__c property, and any custom user fields are migrated as HubSpot custom contact properties.
Dashly
Company
HubSpot
Company
1:1Dashly company records map 1:1 to HubSpot companies. Company properties (domain, industry, employee count) map to HubSpot company standard properties. Dashly parent-child company hierarchies map to HubSpot's parent company association. Dashly company IDs are saved as Source_System_ID__c for reference, and any custom company fields are transferred as HubSpot custom company properties. Industry picklist values are aligned to HubSpot’s default options, with manual mapping for non‑standard values.
Dashly
User ↔ Company Association
HubSpot
Contact ↔ Company Association
1:1Dashly supports multiple companies per user (N:N model via company_ids array on the user object). HubSpot uses many-to-many associations via the built-in association model. We create HubSpot associations for each Dashly user-to-company link, defaulting the primary company by most-recent-activity rule.
Dashly
Conversation Thread
HubSpot
HubSpot Engagement Timeline
1:1Dashly conversation threads contain ordered messages between the user and team members. We split threads into individual engagement records on the contact: agent messages become notes on the contact, user messages become internal notes, and message timestamps are preserved. Thread-level context (conversation ID, channel) is stored in a custom property.
Dashly
Message (within conversation)
HubSpot
Note or Engagement Event
1:1Individual messages map to HubSpot notes attached to the contact record. The note body preserves the original message text, sender type (user vs. agent), and timestamp. Agent messages are labeled as internal notes; user messages become contact timeline entries. The conversation ID and channel information are stored in custom note properties to allow thread reconstruction if needed.
Dashly
Knowledge Base Article
HubSpot
Knowledge Base Article
1:1Dashly knowledge base articles migrate to HubSpot's knowledge base with article title, body content, category, and SEO settings. Article-to-bot associations are not preserved; bots must be rebuilt as HubSpot workflows and linked to articles manually post-migration. Each article’s Dashly ID is saved in a custom Source_System_ID__c property for cross‑reference, and the original category hierarchy is recreated in HubSpot’s knowledge base structure.
Dashly
Leadbot Configuration
HubSpot
HubSpot Workflow
1:1Dashly's leadbots, triggered messages, and auto-reply rules are bot logic with no direct HubSpot equivalent. Bot configurations cannot be extracted as migration-ready data — they must be documented and rebuilt as HubSpot workflows post-migration. We export bot trigger definitions as a reference PDF for your HubSpot admin.
Dashly
Visitor (anonymous session data)
HubSpot
Contact (anonymous contact record)
1:1Dashly tracks anonymous visitors before they become known users. The anonymous session data (first page seen, referrer, UTM parameters) migrates as HubSpot contact properties (hs_analytics_source, utm_content) but only for contacts that have an email. Fully anonymous HubSpot contacts are created for session-only records.
Dashly
Team Member
HubSpot
HubSpot User
1:1Dashly team members map to HubSpot users by email match. Agent IDs are preserved in the engagement notes for audit traceability. Unmatched Dashly agents are flagged before migration — your team either creates HubSpot users or reassigns conversations to an existing user.
Dashly
Attachment / File
HubSpot
HubSpot Files
1:1Dashly files attached to conversations re-upload to HubSpot Files and are linked to the contact record via the file attachment property. HubSpot's 25MB per-file limit applies; files exceeding this are flagged for manual delivery. Original file names and timestamps are preserved in the HubSpot file metadata, and a custom Large_Files_Archive__c property points to a zip archive for oversized assets. All files are associated with the correct contact to maintain a complete audit trail.
| Dashly | HubSpot | Compatibility | |
|---|---|---|---|
| User (lead in Dashly) | Contact1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| User ↔ Company Association | Contact ↔ Company Association1:1 | Fully supported | |
| Conversation Thread | HubSpot Engagement Timeline1:1 | Fully supported | |
| Message (within conversation) | Note or Engagement Event1:1 | Fully supported | |
| Knowledge Base Article | Knowledge Base Article1:1 | Fully supported | |
| Leadbot Configuration | HubSpot Workflow1:1 | Fully supported | |
| Visitor (anonymous session data) | Contact (anonymous contact record)1:1 | Fully supported | |
| Team Member | HubSpot User1:1 | Fully supported | |
| Attachment / File | HubSpot Files1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Dashly gotchas
Visitor-based pricing affects migration scoping
No public bulk export endpoint
Leadbot and triggered message configs require manual rebuild
HubSpot gotchas
Marketing Contacts billing model is migration-critical
Feature tier gating is not visible until onboarding
Mandatory onboarding fees inflate year-one cost
HubSpot CSV importer cannot migrate engagements or attachments
Custom objects require Enterprise and a pre-existing schema
Pair-specific challenges
Migration approach
Audit Dashly data inventory and clean duplicates
FlitStack connects to Dashly via API to extract the full data inventory: users (with all custom properties), companies, conversation threads, messages, knowledge base articles, and team members. We run a data quality report identifying duplicate email addresses across Dashly users, incomplete company records, and conversation threads with missing user IDs. Your team approves the cleaning rules before migration begins — deduplication merges duplicate Dashly users into a single HubSpot contact, preserving all conversation history under one record.
Map Dashly objects and fields to HubSpot schema
We build the object-level and field-level mapping document based on the inventory audit. User properties map to HubSpot contact properties, companies map to HubSpot companies, and conversation threads are split into HubSpot notes. Dashly custom user properties become HubSpot custom contact properties. The mapping document is reviewed with your team before any data moves — particularly the lifecycle_stage assignment logic, the N:N company association resolution rule, and the conversation-to-note split strategy.
Resolve owners and users by email match
Dashly team members are matched to HubSpot users by email address. Unmatched Dashly agents are flagged — your team either creates HubSpot user accounts for them first or assigns their conversation history to a fallback HubSpot user. No conversation note lands without a HubSpot owner. Companies migrate first, then contacts with their company associations, then conversations linked to the resolved contact records.
Run a sample migration with field-level diff
A representative slice migrates first — typically 200–500 Dashly users spanning different user statuses, companies, and conversation volumes. We generate a field-level diff between the Dashly source record and the HubSpot destination record so you can verify lifecycle_stage assignment, company association resolution, conversation-to-note splitting, and owner mapping. The diff also checks custom property values and timestamps, ensuring data integrity before the full run. You approve the sample before the full migration commits, and any mismatches trigger a correction loop.
Execute full migration with delta-pickup window
The full Dashly data set migrates to HubSpot. A delta-pickup window (typically 24–48 hours) captures any new Dashly users, company records, or conversations created during the cutover period. Audit logs record every operation. One-click rollback is available if reconciliation fails — the Dashly export remains intact so no data is at risk. Post-migration, we deliver the bot-configuration export PDF and a knowledge base migration report so your team can begin HubSpot workflow and chatbot rebuilding immediately.
Platform deep dives
Dashly
Source
Strengths
Weaknesses
HubSpot
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Dashly and HubSpot.
Object compatibility
1 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Dashly: Not publicly documented.
Data volume sensitivity
Dashly doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
Answers to the questions buyers ask most during Dashly to HubSpot migration scoping. Not seeing yours? Book a call.
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