CRM migration

Migrate from Dashly to HighLevel

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

Dashly logo

Dashly

Source

HighLevel

Destination

HighLevel logo

Compatibility

56%

5 of 9

objects map 1:1 between Dashly and HighLevel.

Complexity

BStandard

Timeline

2-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Dashly to GoHighLevel is a platform consolidation that replaces a conversational marketing tool with a full-stack CRM and marketing automation suite. Dashly organizes data as Leads, threaded Conversations with Messages, Companies, and agent Users; GoHighLevel uses Contacts, Companies, Opportunities within Pipelines, and a separate Tasks and Calendar model. The most structurally significant migration step is resolving Dashly's conversation history (which lives as nested message arrays attached to Leads) into GoHighLevel's Notes and Tasks model, preserving participant attribution and timestamps. Dashly's Leadbots and triggered message rules are automation configs that do not map to any GoHighLevel workflow schema; we export them as structured JSON and deliver a rebuild guide, but the automation work itself is not automated. Visitor session data is not migratable. GoHighLevel's email system runs on shared Mailgun infrastructure, so teams with high email-sending volume should plan for a dedicated sending domain and full SPF/DKIM/DMARC configuration post-migration.

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

Dashly logo

Dashly

What's pushing teams away

  • G2 reviewers report that Dashly's interface is not intuitive, with a steep learning curve that makes basic tasks like editing workflows and navigating the inbox time-consuming.
  • Users encounter difficulties deleting records and contacts cleanly, leading to data clutter and frustration when attempting to maintain accurate contact databases.
  • The platform's editing workflow for conversations and automations is described as cumbersome, forcing support teams to work around UI limitations rather than through them.
  • Email deliverability and sending issues appear in negative reviews, with some users reporting that outbound email features fail without clear explanation or workaround.

Choosing

HighLevel logo

HighLevel

What's pulling them in

  • Agencies choose HighLevel to consolidate CRM, email, SMS, scheduling, and funnels into one subscription, eliminating monthly bills for five to ten separate SaaS tools they previously stitched together.
  • The flat-rate pricing model bills per sub-account rather than per contact, so growing a contact database from 1,000 to 100,000 records does not trigger a billing surprise—a common pain point avoided by migrating customers.
  • White-label and sub-account capabilities let agencies resell HighLevel access to their own clients, turning a software cost center into a recurring revenue stream that justifies the subscription.
  • The platform ships a 14-day free trial with no credit card required, giving teams a low-friction entry point to validate fit before committing to the $97/month Starter tier.
  • Marketing agencies managing multiple client accounts use sub-accounts to maintain data isolation per client while operating under a single agency billing relationship with HighLevel.

Object mapping

How Dashly objects map to HighLevel

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

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

Dashly

Lead

maps to

HighLevel

Contact

1:1
Fully supported

Dashly Leads map directly to GoHighLevel Contacts. Standard properties (name, email, phone, custom fields) migrate 1:1 to Contact fields. Dashly's conversation history attaches to the Lead as threaded Messages; we reconstruct this as a series of Notes and Tasks in GoHighLevel's Contact activity timeline, preserving the original message timestamps and participant attribution. Dashly tags on Leads migrate to GoHighLevel Contact tags.

Dashly

Conversation

maps to

HighLevel

Contact Activity Timeline (Notes + Tasks)

lossy
Fully supported

Dashly Conversations are top-level threads with metadata (status, assignee, source channel, timestamps). Since GoHighLevel has no Conversation object, we store conversation metadata as Notes on the Contact record with a structured body (channel, assignee, status, opened_at, closed_at) and thread each message under the same Note or as a related Task sequence. We use the Dashly conversation ID as a reference in the Note body for auditability.

Dashly

Message

maps to

HighLevel

Note (within Contact Timeline)

1:1
Fully supported

Each Dashly Message (sender, body, timestamp, delivery channel) migrates to a GoHighLevel Note attached to the parent Contact. We preserve sender attribution (agent name or visitor identifier), message body, and timestamp. For multi-message threads, we order Notes by created_at timestamp to maintain conversation flow. Agent-sent messages are flagged in the Note body so the customer's team can distinguish inbound from outbound.

Dashly

Company

maps to

HighLevel

Company

1:1
Fully supported

Dashly Company records map to GoHighLevel Companies with standard fields (name, domain, industry, custom properties) migrated 1:1. We use the Dashly Company ID as an external reference field and link associated Contacts to the Company via GoHighLevel's Contact-to-Company relationship. If no matching Company exists in GoHighLevel at migration time, we create it before Contact import.

Dashly

User (Agent)

maps to

HighLevel

User

1:1
Fully supported

Dashly User accounts (support agents and admins) map to GoHighLevel Users by email match. We extract every distinct Dashly user referenced on Conversation assignees and Message sender fields, match by email against the GoHighLevel destination User table, and flag any Dashly users without a matching GoHighLevel User for the customer's admin to provision before migration completes.

Dashly

Leadbot

maps to

HighLevel

Workflow (manual rebuild required)

lossy
Fully supported

Dashly Leadbots are automation configs with trigger conditions, dialogue trees, and action sequences stored in Dashly's JSON schema. We export the complete bot configuration as structured JSON, but because no destination platform shares the same automation schema, the logic must be manually recreated in GoHighLevel's workflow builder. We provide the exported config files and a mapping guide that maps each Dashly trigger type (page visit, time on site, button click) to an equivalent GoHighLevel workflow trigger (Form Submitted, Tag Added, Custom Value Changed).

Dashly

Triggered Message

maps to

HighLevel

Workflow (manual rebuild required)

lossy
Fully supported

Dashly triggered message rules define automated outbound sequences tied to visitor behavior or time delays. We export the trigger rules and message content as structured JSON, but the automation must be manually rebuilt in GoHighLevel's workflow builder. We provide a written inventory of each triggered message with its trigger conditions, delay logic, message body, and recommended GoHighLevel equivalent (e.g., Workflow with Time Delay + Send Email/SMS action).

Dashly

Tag

maps to

HighLevel

Tag

1:1
Fully supported

Tags applied to Dashly Leads, Conversations, or Companies export as flat label arrays. We preserve all tag assignments and map them to GoHighLevel's tagging system on the corresponding record type. If a tag does not exist in GoHighLevel at migration time, we create it during migration.

Dashly

Custom Properties

maps to

HighLevel

Custom Fields

lossy
Mapping required

Dashly custom fields on Leads and Companies are defined per-account. We inventory all custom properties during discovery, including data types (text, number, date, checkbox, dropdown). We pre-create equivalent custom fields in GoHighLevel before data import, matching data types as closely as GoHighLevel's field types allow (text maps to Text, number to Number, date to Date, checkbox to Checkbox, dropdown to Dropdown).

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.

Dashly logo

Dashly gotchas

High

Visitor-based pricing affects migration scoping

High

No public bulk export endpoint

Medium

Leadbot and triggered message configs require manual rebuild

HighLevel logo

HighLevel gotchas

High

Sub-account architecture creates isolated data silos per client

High

Usage-based telecom and AI costs are not in the subscription price

Medium

Workflows have no native equivalent in most destination CRMs

Medium

API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account

Low

White-label configuration and branding assets do not export via API

Pair-specific challenges

  • Dashly has no bulk export endpoint

    Dashly's REST API does not expose a bulk export endpoint for Leads, Conversations, or Messages. Data must be retrieved via paginated API requests using optional field inclusion parameters (include_{field_name}=true). We chunk requests per endpoint, page through results sequentially, and handle 429 rate-limit responses with exponential backoff. For large accounts with extensive conversation history, API pagination adds time to the migration timeline and requires careful rate-limit management to avoid throttling during extraction.

  • Conversation history requires manual structuring

    Dashly stores conversation history as nested message arrays attached to Lead records, while GoHighLevel has no dedicated Conversation object. We map conversation metadata and messages to GoHighLevel Notes attached to Contacts, but the nesting structure (threaded replies, message reactions, read receipts) does not map directly. We preserve sender, body, and timestamp for every message and order Notes chronologically, but message-level reactions, delivery receipts, and internal notes within threads are simplified or omitted. Customers with complex conversation threading requirements should review the Notes output during Sandbox validation.

  • Leadbots and triggered messages require manual rebuild

    Dashly Leadbots and triggered message rules are stored as structured automation configurations in Dashly's JSON schema. We export these as JSON, but because no destination platform shares the same automation schema, the bot logic and trigger conditions must be manually recreated in GoHighLevel's workflow builder. We provide the exported config files and a mapping guide that maps Dashly trigger types to GoHighLevel workflow triggers, but the automation rebuild is not automated as part of the migration scope.

  • Visitor session data is not migratable

    Dashly's visitor session data (page views, referrer, UTM parameters, session duration) is ephemeral and aggregated by Dashly's analytics engine. It is not meaningfully migratable as structured records to any destination platform. We do not attempt to export visitor sessions. Customers who rely on visitor behavioral data for reporting should export Dashly analytics reports separately before migration and store them as reference documents.

  • GoHighLevel email deliverability requires post-migration setup

    GoHighLevel's LC Email runs on shared Mailgun infrastructure, which means out-of-the-box deliverability is weaker than dedicated email platforms. Multiple reviewers cite lower inbox placement rates compared to dedicated email tools. We configure SPF/DKIM/DMARC for the customer's sending domain during migration setup, but achieving strong deliverability on GoHighLevel requires warming up the sending domain and following email best practices post-migration. This is a known limitation of the platform, not a migration-specific issue.

Migration approach

Six steps for a successful Dashly to HighLevel data migration

  1. Discovery and scoping

    We audit the Dashly account via API: current plan tier and visitor quota, Lead count, Conversation count, Message count, Company count, User count, active Leadbot configs, active triggered message rules, custom properties on Lead and Company, and tag inventory. We also identify the GoHighLevel destination account and confirm the target plan (Starter at $97/mo covers most migrations; Unlimited at $297/mo is needed for sub-account agency use cases). The discovery output is a written migration scope with record counts and a recommended GoHighLevel plan.

  2. Schema design and custom field pre-creation

    We inventory all Dashly custom properties (name, data type, values) and pre-create equivalent GoHighLevel custom fields on Contact and Company before any data import. We define the tag mapping strategy (Dashly tags to GoHighLevel tags) and confirm the conversation-to-Note mapping approach for the customer's review. If the Dashly account has Company records, we map them to GoHighLevel Companies and design the Contact-to-Company relationship.

  3. API extraction with pagination and rate-limit handling

    We extract data from Dashly using paginated REST API requests with field-level include parameters. Leads, Conversations, Messages, Companies, Users, and Tags are extracted in separate endpoint passes. We handle 429 rate-limit responses with exponential backoff, checkpoint pagination offsets to support resume on failure, and emit extraction logs for reconciliation. Visitor sessions are identified and skipped per policy.

  4. Sandbox validation and mapping review

    We run a partial migration into a GoHighLevel test environment using a sample of records (typically 100-200 Leads with conversation history). The customer reviews the Note structure representing conversation history, validates custom field mapping, confirms tag placement, and approves the mapping before full production migration begins. Any structural corrections happen here.

  5. Owner reconciliation and User provisioning

    We extract every distinct Dashly user referenced on Conversation assignees and Message sender fields and match by email against the GoHighLevel destination Users. Any Dashly users without a matching GoHighLevel User go to a reconciliation queue for the customer's admin to provision. Migration cannot complete owner assignment without this step because GoHighLevel Notes require a valid User reference.

  6. Production migration and cutover

    We run full production migration in dependency order: Companies first (for Contact-to-Company linking), then Contacts with conversation history reconstructed as Notes, then Tags. Leadbot and triggered message JSON exports and rebuild guides are delivered as a separate documentation package. We freeze Dashly writes during cutover, run a final delta extraction for any records modified during migration, then mark GoHighLevel as the system of record. We deliver a migration report with record counts per object, any records that failed validation, and the automation rebuild guide.

Platform deep dives

Context on both ends of the pair

Dashly logo

Dashly

Source

Strengths

  • All-in-one platform combining live chat, AI leadbots, triggered messaging, and knowledge base in a single tool.
  • Unlimited seats across all paid plans, making it cost-effective for growing support teams without per-user licensing.
  • Visitor-based pricing allows small teams to start at a low monthly cost with overage flexibility.
  • Built-in knowledge base with unlimited articles and SEO settings supports both agent reference and self-service content.
  • Offers a free trial and free Conversation starter plan for evaluation.

Weaknesses

  • G2 reviews consistently describe the interface as unintuitive with a steep learning curve for new users.
  • Deletion workflows are reported as problematic, making it difficult to remove stale records cleanly.
  • Email sending and deliverability features receive recurring complaints in negative reviews.
  • No documented bulk data export endpoint means migration requires API-based extraction or manual workarounds.
HighLevel logo

HighLevel

Destination

Strengths

  • Consolidates CRM, marketing automation, email, SMS, scheduling, and funnels into one platform at a predictable flat monthly rate.
  • Supports unlimited contacts and unlimited users on all paid tiers, removing per-record billing anxiety as databases grow.
  • Offers white-label and sub-account capabilities that let agencies resell access and manage multiple client environments under one billing relationship.
  • Includes built-in review management, reputation monitoring, and AI agents as native features rather than third-party add-ons.
  • Exports Contacts and Companies via a scalable async bulk CSV system that handles multi-million-row datasets without blocking the UI.

Weaknesses

  • The breadth of features creates a steep learning curve; advanced automations and Workflow configuration require significant time investment that smaller teams may not recover.
  • The platform charges usage-based fees for telecommunications and AI features that are not included in the base subscription, leading to bill surprises.
  • Recurring user reports on Reddit and G2 describe bugs, errors, and slow support response times that disrupt live marketing and sales operations.
  • Sub-account architecture, while powerful for agencies, adds migration complexity when identifying which client data lives in which isolated environment.
  • The platform is designed for agencies and SMBs; larger enterprises requiring deep reporting, custom objects at scale, or complex role-based access may outgrow its capabilities.

Complexity grading

How hard is this migration?

Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Dashly and HighLevel.

  • Object compatibility

    B

    1 of 8 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

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Dashly: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Dashly to HighLevel 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 Dashly to HighLevel data migrations

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

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Most Dashly to GoHighLevel migrations land between two and three weeks for accounts with under 10,000 Leads, 5,000 Conversations, and no custom Lead properties requiring field pre-creation. Migrations with large conversation histories (over 50,000 Messages), multiple custom properties, or complex tag structures move to four to six weeks because of API pagination time, message threading reconstruction, and the manual Leadbot and triggered message rebuild work that happens in parallel.

Adjacent paths

Related migrations to explore

Ready when you are

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