CRM migration

Migrate from Data Team DDS to Freshsales

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

Data Team DDS logo

Data Team DDS

Source

Freshsales

Destination

Freshsales logo

Compatibility

100%

14 of 14

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

Complexity

BStandard

Timeline

24–48 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Data Team DDS stores contacts, companies, and deals in a flat CRM schema with basic owner assignment and limited pipeline modeling. Freshsales uses a richer object model that includes Contact Lifecycle Stages, multiple deal pipelines, custom sales activities, and Freddy AI scoring — features that require destination-side schema preparation before data can map cleanly. We extract all standard objects (contacts, companies, deals, activities) and custom properties via the Data Team DDS API, then map each field to its Freshsales equivalent using direct, value-mapped, or custom-field strategies depending on the destination schema. Workflows, sequences, automation rules, and third-party integrations do not migrate — we export definitions for rebuild reference. The migration runs as an out-of-place operation using scoped read access on Data Team DDS, with a delta-pickup window capturing in-flight changes during cutover. A sample migration with field-level diff runs first so you verify lifecycle stage mapping, pipeline routing, and owner resolution before the full commit.

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

Freshsales logo

Freshsales

What's pulling them in

  • Lowest barrier to entry among major CRMs — the free tier supports up to 3 users and includes core CRM functionality before committing to per-seat pricing.
  • Built-in chat, email, and phone reduce reliance on third-party integrations for basic sales communication and contact management.
  • Freddy AI contact scoring and deal insights are included on Pro plans at a lower price than comparable HubSpot tiers.
  • Kanban pipeline views across Contacts, Accounts, and Deals provide visual deal management without requiring custom configuration.
  • Integration with the broader Freshworks ecosystem (Freshdesk, Freshchat, Freshservice) reduces tool sprawl for teams already using Freshworks.

Object mapping

How Data Team DDS objects map to Freshsales

Each row shows how a Data Team DDS object lands in Freshsales, 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

Freshsales

Contact

1:1
Fully supported

Direct object-to-object map between Data Team DDS Contact and Freshsales Contact. Freshsales requires an AccountId lookup on all contacts — contacts without a primary company association in the source require a resolution strategy before migration. You can either attach them to a pre-created default account record or define a fallback account rule in the migration configuration to ensure every contact lands with a valid company association.

Data Team DDS

Company

maps to

Freshsales

Account

1:1
Fully supported

Direct field-level mapping from Data Team DDS Company to Freshsales Account object. Freshsales Account supports parent-child hierarchies through the Parent Account lookup field — source company parent relationships map to Freshsales ParentId references. Multi-company contacts in the source system that belong to multiple companies collapse to a single primary AccountId in Freshsales, with secondary associations preserved through Account Contact Relationships.

Data Team DDS

Lead

maps to

Freshsales

Lead

1:1
Fully supported

Direct object-to-object mapping when the source system maintains a separate Lead object distinct from Contact. Freshsales Lead records include standard Status, Source, Rating, and Owner fields that map directly from the source. Any unqualified leads in the source that have not yet converted to contacts map as-is into Freshsales Lead records for continued nurturing and follow-up within the Freshsales sales workflow.

Data Team DDS

Deal

maps to

Freshsales

Deal

1:1
Fully supported

Direct map. Freshsales Deal corresponds to an Opportunity object — it stores pipeline stage, amount, close date, probability, owner, and associated contacts. Stage names are mapped value-by-value per pipeline using a defined value-mapping table. Freshsales enforces Deal Value on every deal — any blank amount values in the source must default to 0 or records will be rejected during the API import process.

Data Team DDS

Pipeline

maps to

Freshsales

Pipeline

1:1
Fully supported

Source pipeline becomes a Freshsales Pipeline record. If the source has a single pipeline, it maps directly to one Freshsales Pipeline. Multiple pipelines with different stage sets each become separate Freshsales Pipelines, and deal records route by matching pipeline names. Stage probability values are re-applied according to Freshsales pipeline stage configuration settings.

Data Team DDS

Lifecycle Stage

maps to

Freshsales

Custom Field (Lifecycle_Stage__c)

1:1
Fully supported

Freshsales has no native lifecycle stage equivalent at the contact level beyond its own Lifecycle Stage object. We create a custom pick-list field (Lifecycle_Stage__c) on the Contact and Lead objects in Freshsales and map the source stage values into it. Stage-change timestamps are preserved as Lifecycle_Stage_Updated__c datetime fields.

Data Team DDS

Activity / Call

maps to

Freshsales

Sales Activity (Call)

1:1
Fully supported

Source call log records map directly to Freshsales Sales Activities of type Call. Original call duration in seconds, direction (inbound or outbound), outcome disposition, and owner assignment are all preserved during migration. If the source platform stores call recordings as linked files, those recordings are downloaded and re-uploaded as attachments to the corresponding Sales Activity record in Freshsales.

Data Team DDS

Activity / Email

maps to

Freshsales

Sales Activity (Email)

1:1
Fully supported

Source email activity logs map to Freshsales Sales Activities of type Email. The subject line, full email body content, direction (sent or received), and sent or received timestamps are all preserved in the migrated records. Associated contact and account records are linked by email address or name match during the activity migration step to maintain relationship continuity.

Data Team DDS

Activity / Meeting

maps to

Freshsales

Sales Activity (Meeting)

1:1
Fully supported

Source meeting records map to Freshsales Sales Activities of type Meeting. The start time, end time, physical or virtual location, meeting title, list of attendees, and organizer details are preserved during migration. Migrated meetings are linked to their associated contact and account records in Freshsales using attendee email address matching to maintain the full relationship context.

Data Team DDS

Note

maps to

Freshsales

Note

1:1
Fully supported

Source notes map directly to Freshsales Note records. Note title, body content, created date, and owner are preserved. Notes are linked to the parent Contact, Account, or Deal by record ID match. Rich-text formatting is preserved where the source supports it.

Data Team DDS

Task

maps to

Freshsales

Task

1:1
Fully supported

Source task records map directly to Freshsales Task objects. Task subject, due date, status (open, completed, deferred), priority level, and owner are all preserved during migration. Tasks that are linked to specific contacts or deal records in the source are re-linked in Freshsales using email address or name matching on the associated records to maintain workflow continuity.

Data Team DDS

Custom Object

maps to

Freshsales

Custom Module

1:1
Fully supported

Source custom objects map to Freshsales Custom Modules (available on Pro and Enterprise plans). Each custom object requires a corresponding Custom Module to be created in Freshsales before migration. Custom object associations that use many-to-many relationships need junction objects in Freshsales — we surface this in the pre-migration schema plan.

Data Team DDS

Owner / User

maps to

Freshsales

User (by email match)

1:1
Fully supported

Owners in the source are matched to Freshsales users by email address. Unmatched owners are flagged before migration — your team either invites them to Freshsales first or assigns their records to a fallback owner. No record lands in Freshsales without a resolved OwnerId.

Data Team DDS

Attachment / File

maps to

Freshsales

File (on record)

1:1
Fully supported

Source file attachments linked to contacts, accounts, and deals are downloaded from the source system and re-uploaded to Freshsales. Each file is attached to the corresponding Freshsales record (Contact, Account, or Deal) using record ID matching. File size limits apply per the Freshsales storage tier assigned to your account — large files may require additional storage provisioning before 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

Freshsales logo

Freshsales gotchas

Medium

Freddy AI is Pro-tier only despite heavy marketing

High

Post-migration emails and sequences are disabled

Medium

Bot session credits are a one-time 500-session allocation

Medium

Phone credits charged per minute with no cap

Low

File storage limits scale with plan tier

Pair-specific challenges

  • Freshsales requires Deal Value on every deal record

    Freshsales enforces a non-null Deal Value field on all deal records at the API level. If your Data Team DDS instance has deals with blank or null amounts, the import will reject those records unless you set a default value (typically 0) before migration. We run a pre-migration audit to identify all blank deal values and surface them for your decision: set a default, exclude the records, or flag them for manual entry post-migration. This is a silent failure point if not caught in planning — a blank value on even 20% of deals can halt a migration run.

  • Lifecycle stage migration requires a custom field with no native Freshsales equivalent

    Freshsales has no native lifecycle_stage field on the Contact object — it uses its own Lifecycle Stage object and Contact Status field for buyer journey tracking. Source lifecycle stage values (Subscriber, Lead, MQL, SQL, Customer, Evangelist, or any custom stages) must be mapped into a custom pick-list field (Lifecycle_Stage__c) that we create on both Contact and Lead in Freshsales. The source lifecycle stage transition history requires additional datetime fields to preserve when each stage was entered, since Freshsales does not maintain a stage-transition audit log at the contact level natively.

  • Owner resolution by email match can leave records without a Freshsales user

    Freshsales requires a valid Owner (User) on every record — it does not support ghost owners or unassigned records as a default state. We match source owner email addresses to Freshsales user emails during the migration. Any source owner whose email does not correspond to a Freshsales user is flagged as an unresolved owner before the migration runs. Your team must either invite that person to Freshsales first, or designate a fallback owner to receive their records. Records with unresolved owners are held and do not commit until resolved.

  • Freshsales bulk email throttles at 5,000 per user per day on Enterprise

    If your team uses high-volume outbound sequences or email marketing campaigns, Freshsales enforces a daily bulk email limit of 5,000 per user per day on Enterprise plans. This throttle applies to any sequence or bulk email operation — it is not adjustable per contact or per campaign. Teams migrating from a source with higher sending volumes need to reconfigure their email outreach cadence in Freshsales or upgrade to a plan that supports higher throughput. Sequences and email automation do not migrate (they must be rebuilt), so this is also the moment to right-size your sending volume.

  • Custom objects need Freshsales Custom Modules created before migration

    Data Team DDS custom objects have no automatic Freshsales equivalent — Freshsales Custom Modules (the closest analogue) must be created in your Freshsales account before migration data can land. We deliver a custom object schema plan that specifies the Freshsales Custom Module name, the fields to create (mirroring source field names and types), and the associations to build. If your source uses many-to-many relationships between custom objects, Freshsales requires junction objects that are not auto-created — these need explicit mapping and manual configuration before the migration step runs.

Migration approach

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

  1. Audit source data and build the Freshsales schema plan

    We export a full snapshot of your Data Team DDS data model including all standard and custom fields. We audit record counts per object, identify blank deal values, count unique pipeline stages, and catalog custom objects. Simultaneously, we review your target Freshsales account to identify which standard fields exist, which custom fields need creation, and which Freshsales pipelines need to be configured before migration. We deliver a schema setup checklist so your Freshsales admin (or our team) can pre-create Custom Modules, custom fields, and Freshsales Pipelines before any data moves.

  2. Resolve owners and validate user email matching

    We extract all unique owner email addresses from source records and cross-reference them against your Freshsales user list. Each owner email either resolves to an existing Freshsales user (direct match) or is flagged as unresolved. Unresolved owners are reported with their record counts so your team can either invite them to Freshsales or assign a fallback owner. No record enters the migration queue until every owner resolves — this prevents Freshsales from rejecting records with invalid OwnerIds at import time.

  3. Migrate foundational records: Accounts, Contacts, Leads

    We sequence the migration in dependency order: Accounts first (since Contacts have an AccountId lookup), then Contacts and Leads split by record type, then Deals linked to resolved Accounts and Contacts. During this step we apply all value mappings (industry pick-list, lead status, lifecycle stage), create custom field records for any source property with no Freshsales equivalent, and preserve original create dates as custom datetime fields since Freshsales will overwrite CreatedDate at migration time. All records are written to Freshsales via the API using batch operations with error capture.

  4. Run a sample migration with field-level diff

    A representative slice — typically 100 to 500 records spanning Contacts, Accounts, Deals, and Activities — migrates first. We generate a field-level diff report comparing source values against Freshsales field values for every mapped column. You review lifecycle stage mapping, pipeline-to-stage routing, owner resolution rates, and deal value defaults. Any mapping discrepancies are corrected before the full run commits. This step is the gate between planning and execution — no full migration runs until you sign off on the sample diff.

  5. Execute full migration with delta-pickup window

    With the sample approved, the full migration runs against your Freshsales account. A delta-pickup window (typically 24 to 48 hours after the full run completes) captures any records created or modified in Data Team DDS during the cutover period. All operations are logged to an audit trail. If reconciliation finds discrepancies beyond your tolerance, a one-click rollback reverts the Freshsales instance to its pre-migration state. Post-migration, we deliver a final record-count reconciliation report and a mapping summary for your admin reference.

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
Freshsales logo

Freshsales

Destination

Strengths

  • Generous free tier for small teams with core CRM functionality without per-seat costs.
  • All-in-one sales CRM with built-in telephony, chat, and email reducing third-party tool dependency.
  • Freddy AI contact scoring and deal predictions available on Pro tier.
  • Multiple pipeline views with Kanban and list options across all plans.

Weaknesses

  • Reports lack depth compared to competitors like HubSpot, with limited customization options.
  • Integration setup is poorly documented with no clear guides for connecting third-party tools.
  • AI features gated behind $39/user/month Pro tier despite marketing emphasis on Freddy AI.
  • Bot sessions limited to 500 one-time allocation with no monthly refresh.

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 Freshsales.

  • 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 Freshsales 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 Freshsales data migrations

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

Can't find your answer?

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Book a free 30 minute consultation

Most Data Team DDS to Freshsales migrations complete in 24 to 48 hours of clock time for under 50,000 total records. Larger setups with 500,000 or more records, complex multi-pipeline configurations, or extensive custom object schemas extend to 5 to 7 days. The longest single step is often Freshsales schema setup — creating Custom Modules, custom fields, and Freshsales Pipelines — which runs in parallel with planning and does not add to the critical path if done before the migration window.

Adjacent paths

Related migrations to explore

Ready when you are

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

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