CRM migration
Field-level mapping, validation, and rollback between Dashly and Mailchimp. We move data and schema; workflows are rebuilt natively in Mailchimp.
Dashly
Source
Mailchimp
Destination
Compatibility
8 of 10
objects map 1:1 between Dashly and Mailchimp.
Complexity
BStandard
Timeline
1-2 weeks
Overview
Moving from Dashly to Mailchimp is a contact-centric migration between platforms with fundamentally different core functions. Dashly is a conversational marketing and customer service platform built around live chat, AI leadbots, and triggered messaging; Mailchimp is an email service provider and marketing automation platform built around audiences, campaigns, and email automations. The primary migration value is subscriber contact records with their properties and tags. We export all Dashly Leads, map standard properties (name, email, phone, company) to Mailchimp contact fields, and push custom properties into Mailchimp merge fields. Conversation history, message threads, leadbot configurations, and visitor behavioral data have no Mailchimp equivalent and do not migrate. We deliver a written inventory of Dashly automations (leadbot rules and triggered message sequences) for the customer's admin to rebuild in Mailchimp Automations post-migration.
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 Mailchimp, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Dashly
Lead
Mailchimp
Contact
1:1Dashly Leads map to Mailchimp Contacts in a single Audience. Standard properties (name, email, phone, company) map directly to Mailchimp's First Name, Last Name, Email Address, and Phone merge fields. Custom Lead properties migrate to Audience-specific merge fields. We validate all email addresses against RFC 5322 format before import and flag bounces or malformed addresses for the customer to resolve. The Dashly Lead created_at and updated_at timestamps migrate as custom merge fields for audit purposes.
Dashly
Tag
Mailchimp
Tag
1:1Dashly Tags (applied to Leads, Companies, or Conversations) migrate as flat label arrays into Mailchimp Tags. We preserve all tag assignments per contact. Mailchimp Tags are per-Audience, so if the migration targets a single Audience, all tags land in one namespace. Tagging logic (what gets tagged at import time) is preserved as a tag-assignment map delivered alongside the contact import.
Dashly
Custom Property
Mailchimp
Merge Field
lossyDashly custom Lead properties map to Mailchimp merge fields scoped to the target Audience. We inventory all Dashly custom properties during discovery, map their data types to Mailchimp-supported types (text, number, date, phone, address, URL), and flag any properties that exceed Mailchimp's type constraints. Array-type Dashly properties (e.g., multi-select) convert to comma-separated text in Mailchimp. Object-type properties flatten to text or split across multiple merge fields.
Dashly
Company
Mailchimp
Contact (custom field)
1:manyDashly Company records (name, domain, industry, custom company properties) do not have a native Mailchimp equivalent. We denormalize company data onto the Contact record, mapping company name to a Company merge field and any custom company properties to additional merge fields. Multiple Dashly Leads associated with one Company share the same denormalized company fields in Mailchimp. If the customer requires a company-level data model, we recommend Mailchimp's standalone CRM integration or a third-party CRM sync post-migration.
Dashly
Conversation
Mailchimp
None
1:1Dashly Conversation threads (the top-level inbox threads linked to Leads) have no Mailchimp equivalent. Mailchimp tracks email engagement events (opens, clicks, unsubscribes) per contact but does not store conversation history or message threads. We do not migrate conversations. This is a known data loss item that we flag during scoping. The customer should archive conversation export files from Dashly before account deactivation if conversation history retention is required.
Dashly
Message
Mailchimp
None
1:1Dashly Messages (individual exchanges within Conversations, with sender attribution, body content, and timestamp) have no Mailchimp equivalent. Mailchimp does not support chat or messaging history. We do not migrate message records. Agent-to-visitor conversation logs and visitor message history are excluded from the migration scope.
Dashly
Leadbot
Mailchimp
None
1:1Dashly Leadbot configurations (automation rules with trigger conditions, dialogue trees, and action sequences defined in Dashly's JSON schema) have no Mailchimp equivalent. Mailchimp's Customer Journey automations use a different trigger and action model. We export the Leadbot configuration as structured JSON for the customer's admin to use as a reference when rebuilding logic in Mailchimp Automations. The automation rebuild is not automated and falls outside migration scope.
Dashly
Triggered Message
Mailchimp
None
1:1Dashly Triggered Message rules (automated outbound sequences tied to visitor behavior or time delays) have no direct Mailchimp equivalent despite Mailchimp also using the term automation. Dashly triggers fire within a live chat session context; Mailchimp triggers fire email sends within an audience journey. We export the triggered message rules as structured automation data and deliver a mapping guide to Mailchimp's Customer Journey Builder for manual rebuild. Rebuild scope is excluded from the migration contract.
Dashly
Knowledge Base Article
Mailchimp
None
1:1Dashly Knowledge Base Articles (with title, body content, SEO settings, and category associations) have no Mailchimp equivalent. Mailchimp does not host article or knowledge base content. We export articles as structured text files for the customer's admin to republish on a dedicated knowledge base platform (e.g., Notion, Zendesk, HelpCenter) if required.
Dashly
Visitor Session
Mailchimp
None
1:1Dashly Visitor Session data (page views, referrer, UTM parameters, session duration, behavioral flags) is ephemeral and aggregated by Dashly's analytics engine. It is not migratable as structured records to Mailchimp. We do not export visitor sessions. Email engagement data (opens, clicks, unsubscribes) recorded within Mailchimp after migration provides a fresh behavioral dataset.
| Dashly | Mailchimp | Compatibility | |
|---|---|---|---|
| Lead | Contact1:1 | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Custom Property | Merge Fieldlossy | Fully supported | |
| Company | Contact (custom field)1:many | Fully supported | |
| Conversation | None1:1 | Fully supported | |
| Message | None1:1 | Fully supported | |
| Leadbot | None1:1 | Fully supported | |
| Triggered Message | None1:1 | Fully supported | |
| Knowledge Base Article | None1:1 | Fully supported | |
| Visitor Session | None1:1 | 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
Mailchimp gotchas
Contact count includes unsubscribed and non-subscribed records
Automation workflows cannot be exported
Account suspensions trigger silently during migration
Template HTML is Mailchimp-specific and may not render in other platforms
E-commerce data requires active store connection
Pair-specific challenges
Migration approach
Discovery and contact audit
We audit the Dashly account for total Lead count, active tags, custom property inventory (name, data type, values sample), Company record volume, and conversation history depth. We also identify any active Leadbot or triggered message configurations that require export. On the Mailchimp side, we confirm the target Audience structure, existing merge fields, and tag taxonomy. The discovery output is a written migration scope that lists every Dashly object, its migration disposition (migrate, export as reference, or exclude), and any data quality flags (invalid emails, duplicate emails, empty required fields) requiring pre-import resolution.
Data extraction via Dashly REST API
We extract data from Dashly using paginated REST API requests against the leads, companies, tags, and custom_properties endpoints. Each request uses include parameters to retrieve all fields for a given record type. We handle 429 rate-limit responses with exponential backoff and log every page response for reconciliation. Conversations and messages are exported as separate JSON files for manual archival since they do not migrate to Mailchimp. The extraction phase runs on a read-only basis and does not modify the source Dashly account.
Data transformation and merge field mapping
We transform extracted Dashly data into Mailchimp-compatible CSV format. Leads map to contacts; tags map to tag assignments per contact email address; custom properties map to merge fields based on the type-resolution decisions made in discovery. Company data denormalizes onto the contact record. We validate email addresses, deduplicate by email address (retaining the most recently updated record), and flag any records that fail validation for the customer to resolve before import. The transformation output is a migration-ready CSV file with a field mapping manifest.
Mailchimp Audience preparation
We create or confirm the target Mailchimp Audience and configure all required merge fields before importing contacts. Merge fields are created via the Mailchimp API with the correct field type (text, number, date, phone, address, URL). Any merge fields that map from Dashly custom properties but exceed Mailchimp's type constraints are resolved with transformation logic documented in the mapping manifest. Tags are confirmed to be available in the Audience or created during import.
Contact import and tag application
We import contacts into Mailchimp using the Mailchimp API with batch processing for large lists (over 5,000 contacts). Each import batch includes the email address, standard contact fields, and all merge field values. After contact import completes, we apply tags in a second pass using the Tags API, matching by email address. We emit a row-count reconciliation report comparing Dashly Lead count to Mailchimp Contact count and flag any discrepancy for investigation.
Automation inventory handoff and cutover
We deliver the Leadbot and triggered message configuration export (as JSON files) plus a mapping guide to Mailchimp Customer Journey Builder. The guide maps Dashly trigger types to Mailchimp trigger equivalents and documents the recommended automation flow structure. We do not build the Mailchimp automations. We support a one-week post-import window for reconciliation of any contact records that arrived with missing or incorrect merge field data. We do not migrate conversation history, knowledge base content, or visitor sessions to Mailchimp; the customer retains responsibility for archiving these if required.
Platform deep dives
Dashly
Source
Strengths
Weaknesses
Mailchimp
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between Dashly and Mailchimp.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Dashly and Mailchimp.
Object compatibility
All 8 core objects map 1:1 between Dashly and Mailchimp.
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
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