CRM migration

Migrate from Data Team DDS to HighLevel

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

Data Team DDS logo

Data Team DDS

Source

HighLevel

Destination

HighLevel logo

Compatibility

100%

12 of 12

objects map 1:1 between Data Team DDS and HighLevel.

Complexity

BStandard

Timeline

3–7 days

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Teams migrate from Data Team DDS to HighLevel when they want to consolidate CRM, marketing automation, and sales operations into a single platform with predictable flat-rate pricing. HighLevel's data model centers on Contacts, Companies, Opportunities (deals), Tasks, and Notes — with full support for custom fields and custom objects through its API 2.0. The migration carries over everything Data Team DDS stores natively: contact records with all properties, company records, deal and pipeline data with stage history, task and activity records, file attachments, and any custom fields your team has configured. Workflows, sequences, automation rules, and webhook triggers cannot migrate because they are tied to the source platform's execution engine — we export them as rebuild reference documents for your HighLevel admin. We run migrations via the source's export API or structured CSV, validate against a field-level diff on a sample slice, then execute the full load with a 24–48 hour delta-pickup window to capture in-flight changes during cutover.

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

Data Team DDS logo

Data Team DDS

What's pushing teams away

  • Practices report that limited integrations with imaging systems and lab partners force manual workarounds that erode efficiency gains
  • Custom reporting capabilities are often described as insufficient for practices tracking production by provider or case type
  • Smaller practices cite pricing as a barrier when evaluating tier upgrades for multi-location or multi-doctor setups
  • User interface complexity for staff with limited technical experience creates onboarding friction, especially for front-desk teams new to the system

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 Data Team DDS objects map to HighLevel

Each row shows how a Data Team DDS 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.

Data Team DDS

Contact

maps to

HighLevel

Contact

1:1
Fully supported

Direct one-to-one map. Every Data Team DDS contact record — name, email, phone, address, and all custom properties — lands as a HighLevel Contact with the same create date preserved as a custom field since HighLevel's native CreatedDate reflects migration time.

Data Team DDS

Company

maps to

HighLevel

Company

1:1
Fully supported

Direct one-to-one map. Data Team DDS company records transfer to HighLevel Companies. Company name, domain, address, industry, and any custom fields map to their HighLevel equivalents. Multi-contact companies in the source maintain the same association in HighLevel. If the source company record references a parent company, the parent-child relationship is preserved using HighLevel's company hierarchy feature.

Data Team DDS

Deal / Opportunity

maps to

HighLevel

Opportunity

1:1
Fully supported

Data Team DDS deals map to HighLevel Opportunities. Deal name, value, expected close date, owner, and pipeline stage all transfer. Stage names from the source are used to configure matching HighLevel pipeline stages before migration runs. If the source uses custom probability weights per stage, those values are stored as custom number fields on each stage in HighLevel's pipeline configuration.

Data Team DDS

Pipeline Stage

maps to

HighLevel

Pipeline Stage

1:1
Fully supported

Each pipeline stage in Data Team DDS becomes a stage in a HighLevel Pipeline. We create the pipeline structure first so stage mapping is clean at migration time. Probability weights transfer as stage-level metadata if they exist in the source.

Data Team DDS

Task / Activity

maps to

HighLevel

Task

1:1
Fully supported

Completed tasks, calls logged, and notes with timestamps migrate as HighLevel Tasks. Original due dates, completion dates, and assigned owners are preserved. Uncompleted tasks transfer with their original due dates and status flags. Call logs include duration and outcome metadata where available in the source system, mapped to HighLevel's task custom fields for call activity tracking.

Data Team DDS

Email / Note Record

maps to

HighLevel

Note

1:1
Fully supported

Email records and text notes from Data Team DDS transfer as HighLevel Notes attached to the parent Contact, Company, or Opportunity record. Rich-text formatting is preserved where the source supports it. Notes that were created by automated workflows rather than manual entry are flagged in the migration report so your team can review their relevance in the new system.

Data Team DDS

Attachment / File

maps to

HighLevel

File

1:1
Fully supported

Files attached to contacts, companies, or deals are downloaded from the source and re-uploaded to HighLevel Files, re-attached to their parent records. File size limits in HighLevel apply (standard limit 25MB per file). Files exceeding HighLevel's size limit are noted in the pre-migration audit and can be hosted externally with links stored in the appropriate record fields.

Data Team DDS

Custom Field (Contact-level)

maps to

HighLevel

Custom Field on Contact

1:1
Fully supported

Any custom properties on contacts that have no direct HighLevel equivalent are created as custom fields on the Contact object before migration runs. Field type is matched as closely as possible: dropdowns become choice fields, text fields become text fields, etc.

Data Team DDS

Custom Field (Deal-level)

maps to

HighLevel

Custom Field on Opportunity

1:1
Fully supported

Custom deal properties migrate as custom fields on HighLevel Opportunities. These are created in the destination before the migration batch runs so all values land in the correct fields during the load. Dropdown-style deal properties become HighLevel choice fields with the same picklist values, while numeric and date fields map to their corresponding HighLevel field types for proper sorting and reporting.

Data Team DDS

Custom Object (Enterprise)

maps to

HighLevel

Custom Object

1:1
Fully supported

Data Team DDS custom objects map to HighLevel custom objects. Relationships between custom objects and standard objects (Contact, Company, Opportunity) require junction object setup in HighLevel — this is flagged in the pre-migration audit and delivered as a configuration plan.

Data Team DDS

User / Owner

maps to

HighLevel

User

1:1
Fully supported

Owner and user records from Data Team DDS are resolved by email match against HighLevel users. Unmatched owners are flagged before migration — records are assigned to a designated fallback owner or held for your team to create the user first.

Data Team DDS

Tag / Label

maps to

HighLevel

Tag

1:1
Fully supported

Tags applied to contacts, companies, or deals in Data Team DDS transfer as HighLevel Tags. Tag names are preserved exactly; no value mapping is required since tags are string-based on both platforms. If your source uses a hierarchical tag taxonomy, the full tag hierarchy is preserved in HighLevel's tag structure so segmentation and filtering logic remains functional post-migration.

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.

Data Team DDS logo

Data Team DDS gotchas

High

No publicly documented public API found in research

Medium

Custom field schema varies per practice account

Medium

Insurance payer mappings are state and plan-specific

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

  • Custom fields need pre-creation in HighLevel before data loads

    HighLevel requires custom fields to exist in the schema before records can populate them via API import. If Data Team DDS has 20+ custom fields across contacts, companies, and deals, the migration plan must enumerate each one, specify its HighLevel field type (text, number, dropdown, multi-select, date), and those fields must be created in HighLevel before the migration batch runs. Skipping this step causes the load job to skip those fields silently, producing data gaps that only surface in reconciliation. We deliver a complete field creation checklist as part of the pre-migration audit so your admin can pre-build the schema.

  • Pipeline stages must exist in HighLevel before deal migration starts

    HighLevel Opportunity stages are bound to a specific Pipeline object. If Data Team DDS uses multiple pipelines or has custom stage names, each pipeline and each stage within it must be created in HighLevel first. The migration job cannot create HighLevel pipeline stages — it can only assign existing stage IDs. We map stage names to stage IDs during the pre-migration plan, but the pipeline structure itself must be built in HighLevel's UI or via API before we run the data load. Stage probability weights from the source are stored as custom number fields if HighLevel's native probability field does not support custom values per stage.

  • Sub-account limits cap where migrated data lands

    HighLevel's Starter plan limits you to 3 sub-accounts; Unlimited allows 10; SaaS Pro allows 15. If your Data Team DDS instance contains data for multiple distinct client or business-unit environments, those must map to separate HighLevel sub-accounts to maintain data isolation. Migrating all client data into a single HighLevel sub-account when it should be split creates a compliance and operational problem. We confirm the target sub-account structure during discovery and verify sub-account availability before migration begins.

  • Automations and workflows do not migrate and cannot be simulated

    Data Team DDS workflow rules, automation sequences, and trigger-based actions are tied to that platform's execution engine and cannot be exported in a form that runs inside HighLevel. The migration carries data only. Your automation logic — the triggers, conditions, delays, and action sequences defined in Data Team DDS — must be rebuilt using HighLevel's Workflow Builder. We export your Data Team DDS automation definitions as a written rebuild reference, but the workflow reconstruction is a separate configuration step that your team or a HighLevel admin handles post-migration.

  • Contact duplicate detection runs post-migration, not during

    HighLevel's duplicate detection rules (email-match, phone-match) run as background jobs after records are created. During the migration load, if your Data Team DDS dataset contains duplicate contacts (same email, different records), both records will load into HighLevel. After migration completes, your team reviews HighLevel's duplicate merge suggestions. Records with exact email duplicates are flagged in the post-migration report so you can decide which to merge. This is not a data-loss risk — it is a post-migration cleanup task.

Migration approach

Six steps for a successful Data Team DDS to HighLevel data migration

  1. Audit source data and design target schema

    We extract a full data inventory from Data Team DDS via API export or structured CSV — whichever the source supports. The audit enumerates every object, all standard and custom fields, current pipeline and stage configuration, record counts per object, and owner distribution. From this we build the HighLevel schema plan: which custom fields to create, what pipeline stages to set up, whether custom objects need junction objects, and which sub-account will receive the migrated data.

  2. Set up HighLevel schema before migration runs

    With the schema plan in hand, your HighLevel admin (or our team) creates the custom fields, pipeline stages, and any custom objects before the migration batch runs. HighLevel's API 2.0 supports programmatic field creation, or fields can be built in the UI. Pipeline stages are configured with names matching the source so the value map is clean. This step must be complete before we proceed to data migration — the load job cannot create schema elements.

  3. Resolve owners and validate data quality

    We match Data Team DDS owner and user records to HighLevel users by email address. Unmatched owners are flagged and assigned to a designated fallback user or held pending HighLevel user creation — no record migrates without an assigned owner. Simultaneously, we run deduplication and data quality checks: duplicate emails, missing required fields, malformed dates, and records with null critical fields are surfaced in a pre-migration report for your team to resolve.

  4. Run sample migration with field-level diff

    A representative slice — typically 100–500 records spanning contacts, companies, deals, and a sample of activity records — migrates first. We generate a field-level diff report showing every source field, its destination value, and any transformation applied. You verify that stage mapping is correct, owner resolution worked, custom field values landed in the right places, and pipeline stages match your expectations. Approval of the sample unlocks the full migration run.

  5. Full migration with delta-pickup and rollback

    The full data migration executes against the target HighLevel sub-account. A delta-pickup window of 24–48 hours runs in parallel, capturing any records created or modified in Data Team DDS during the cutover period. Audit logs capture every operation. If reconciliation reveals record count or field-value discrepancies, one-click rollback reverts the target to its pre-migration state. After validation passes, your team trains on HighLevel and the cutover is complete.

Platform deep dives

Context on both ends of the pair

Data Team DDS logo

Data Team DDS

Source

Strengths

  • Specialized for dental practice workflows including scheduling, treatment planning, and insurance claim handling
  • Patient record management consolidates demographics, clinical history, and billing in one linked system
  • Appointment scheduling with provider assignment supports multi-chair and multi-provider practice configurations
  • Insurance claim tracking with payer reference and status monitoring reduces follow-up effort on rejected claims
  • Custom fields allow per-practice configuration for referral tracking, recall preferences, and specialty flags

Weaknesses

  • Reporting and analytics capabilities lag behind broader CRM platforms, limiting production and revenue-cycle insights
  • Integration ecosystem is narrower than horizontal CRMs, requiring custom work for specialty imaging, lab, or ERP connections
  • Custom field schema varies by practice, creating migration complexity when switching to a destination system with a different data model
  • Multi-location support is limited on lower tiers, restricting scalability for growing dental groups
  • Export mechanisms may require manual intervention or third-party tools, as no fully documented public API was found in the research
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. 2 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 Data Team DDS and HighLevel.

  • Object compatibility

    B

    2 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

    Data Team DDS: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Data Team DDS 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 Data Team DDS to HighLevel data migrations

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

Can't find your answer?

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Simple migrations covering contacts, companies, and a single pipeline with under 5,000 records complete in 3–7 business days. Complex migrations with multiple custom objects, 20+ custom fields, or more than 50,000 records typically take 3–5 weeks. The longest phases are pre-migration audit and schema setup in HighLevel — data loading itself runs in hours once the schema is ready. During the audit, we map every custom field, validate record counts, and confirm pipeline structure before any data moves.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Data Team DDS.
Land in HighLevel, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

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