CRM migration
Field-level mapping, validation, and rollback between SalesSeek and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
SalesSeek
Source
Freshsales
Destination
Compatibility
10 of 13
objects map 1:1 between SalesSeek and Freshsales.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from SalesSeek to Freshsales is a platform consolidation for teams outgrowing a CRM with limited market traction and opaque pricing. SalesSeek stores Organizations as the primary company object, People as contacts linked to Organizations, and Deals as pipeline opportunities with configurable stages. Freshsales mirrors this with Accounts (similar to Organizations), Contacts (similar to People), and Deals with its own pipeline configuration. We map all three core objects 1:1, but the critical difference is that SalesSeek People may represent both leads and customers depending on lifecycle stage, while Freshsales has an explicit Lead object separate from Contact. We resolve that split during scoping using the SalesSeek lifecycle or status field. SalesSeek automation rules are not accessible via API, so we document them as a written inventory for rebuild in Freshsales workflow automation. Filter definitions are exportable as read-only objects but cannot be programmatically updated; we export them and provide a recreation guide for Freshsales saved views. Custom fields on Organizations, People, and Deals require explicit type mapping because SalesSeek dropdown enumerations must become Freshsales picklist values.
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 SalesSeek 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.
SalesSeek
Organization
Freshsales
Account
1:1SalesSeek Organizations map directly to Freshsales Accounts. The organization name, address fields, industry classification, and any custom properties migrate to Freshsales Account fields. The original SalesSeek organization ID is preserved in a custom field salesseek_id__c for re-linking to People records that reference it. We create all Accounts before any People import so that the Account lookup relationship is satisfied at the moment of Contact or Lead insert.
SalesSeek
People
Freshsales
Lead or Contact (split required)
1:manySalesSeek People may represent both unqualified prospects and qualified customers depending on lifecycle stage or status field values. We define the split rule during scoping based on the customer's SalesSeek data: typically, People with a status indicating early-stage (e.g., New, Prospect, Unqualified) map to Freshsales Lead, while People with a status indicating engagement or customer (e.g., Active, Customer, Won) map to Freshsales Contact attached to an Account. The original SalesSeek status and lifecycle values are preserved in custom fields on both Lead and Contact for audit and reporting continuity.
SalesSeek
Deal
Freshsales
Deal
1:1SalesSeek Deals map to Freshsales Deals with the deal name, monetary value, stage, probability, and expected close date preserved. The linked Organization (Account) and Person (Contact or Lead) associations migrate as Freshsales Deal relationships. Deal custom fields migrate to Freshsales custom Deal fields with equivalent types. We resolve parent Account and Contact lookups before Deal insert to avoid orphaning.
SalesSeek
Pipeline Stage
Freshsales
Deal Stage
lossySalesSeek pipeline stages are configurable enumerations with label, sequence order, and probability percentage. We export each pipeline's stage definitions and recreate them in Freshsales using the Deal stage editor. Stage probability percentages round to Freshsales-acceptable values. Stage renaming or reordering post-migration requires manual review in Freshsales admin settings.
SalesSeek
Pipeline
Freshsales
Deal Pipeline
lossySalesSeek supports multiple pipeline visualizations. Each SalesSeek pipeline becomes a Freshsales Deal pipeline. We export pipeline names, stage order, and any pipeline-specific configuration and recreate them in Freshsales before Deals migrate. Freshsales Growth tier supports multiple pipelines; the Free tier supports a single pipeline.
SalesSeek
Task
Freshsales
Task
1:1SalesSeek Tasks (to-do items with due dates, status, and owner assignment) map to Freshsales Tasks. Task subject, due date, status (open/closed), priority, and owner assignment migrate directly. Completed tasks include the completion timestamp. The owner mapping resolves SalesSeek hubspot_owner_id references to Freshsales User IDs via email match.
SalesSeek
Custom Fields
Freshsales
Custom Fields
1:1SalesSeek custom fields on Organizations, People, and Deals (text, number, date, dropdown types) require explicit mapping to Freshsales custom field types. Text fields map to Freshsales Text or Text Area; number fields map to Number; date fields map to Date; dropdown fields map to Picklist with enumerated options explicitly matched to Freshsales picklist values. We generate a custom field mapping spreadsheet during scoping listing each field name, type, and options for customer review before migration begins.
SalesSeek
Filter
Freshsales
Saved View
1:1SalesSeek Filters segment records and are associated with Groups. The SalesSeek API supports creating filters but not updating or deleting them, and orphaned filters are periodically cleaned up by the system. We export all active filter definitions (field conditions, operators, values) during scoping. These are recreated as Freshsales Saved Views by the customer's admin post-migration using the export as a recreation guide. We flag any filters that were orphaned before scoping as potentially missing from the export.
SalesSeek
Group
Freshsales
Team or List
1:1SalesSeek Groups are collections of records used for filtering and sharing. We export Group membership (which People and Organizations belong to each Group). In Freshsales, Groups map to Teams (for access control) or Lists (for segmentation). The customer chooses the mapping strategy during scoping.
SalesSeek
Activity/Event
Freshsales
Activity
1:1SalesSeek engagement activities (calls, emails, meetings, tasks) are exported with type, date, associated contacts, and notes. Freshsales stores activities on the timeline of the related Contact, Lead, Account, or Deal. Activity type mapping is preserved: calls become Freshsales call activities, meetings become meeting activities, and standalone notes become note records. The activity schema differs between platforms so we document the mapping per field for customer review.
SalesSeek
Attachment
Freshsales
Attachment
1:1File attachments associated with Organizations, People, or Deals are downloaded from SalesSeek and re-uploaded to Freshsales with the linked record association preserved. Freshsales attachments link to the parent Contact, Lead, Account, or Deal. We validate file size limits against Freshsales attachment constraints before migration.
SalesSeek
Tag
Freshsales
Tag
1:1SalesSeek Tags label records for categorization. We export tag names and reapply them as Freshsales Tags on the corresponding Contact, Lead, Account, or Deal. Tag-based segmentation from SalesSeek maps to Freshsales Lists or Tags depending on the customer's intended use case.
SalesSeek
User/Owner
Freshsales
User
1:1SalesSeek Users who own records must map to Freshsales Users. We resolve owners by email match against the destination Freshsales User table. Any SalesSeek User without a matching Freshsales User is held in a reconciliation queue for the customer's admin to provision before record import resumes. Unassigned records default to a migration owner during the initial load.
| SalesSeek | Freshsales | Compatibility | |
|---|---|---|---|
| Organization | Account1:1 | Fully supported | |
| People | Lead or Contact (split required)1:many | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline Stage | Deal Stagelossy | Fully supported | |
| Pipeline | Deal Pipelinelossy | Fully supported | |
| Task | Task1:1 | Fully supported | |
| Custom Fields | Custom Fields1:1 | Mapping required | |
| Filter | Saved View1:1 | Fully supported | |
| Group | Team or List1:1 | Fully supported | |
| Activity/Event | Activity1:1 | Fully supported | |
| Attachment | Attachment1:1 | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| User/Owner | User1:1 | 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.
SalesSeek gotchas
Filter API is read-only and filters decay without Groups
Automation rules not accessible via API
Custom field types require explicit value mapping
Freshsales gotchas
Freddy AI is Pro-tier only despite heavy marketing
Post-migration emails and sequences are disabled
Bot session credits are a one-time 500-session allocation
Phone credits charged per minute with no cap
File storage limits scale with plan tier
Pair-specific challenges
Migration approach
Discovery and scoping
We audit the source SalesSeek portal for Organizations, People, Deals, Tasks, custom field definitions (with dropdown options), pipeline structures, active Filters and their Group associations, automation rule count and complexity, and engagement/activity volume. We pair this with a Freshsales edition assessment: Free tier (3 users, single pipeline) covers basic migrations; Growth ($9/user/mo) adds multiple pipelines and workflow automation; Pro ($39/user/mo) adds custom modules and advanced AI features; Enterprise ($59/user/mo) adds field-level permissions and sandbox. The discovery output is a written migration scope, custom field mapping spreadsheet, and Freshsales edition recommendation.
Schema design and People split rule
We design the destination schema in Freshsales. This includes provisioning custom fields on Account, Contact, Lead, and Deal with types matched to SalesSeek field types. We define the People-to-Lead-or-Contact split rule based on the customer's SalesSeek status or lifecycle values and document it in the mapping spreadsheet. If multiple pipelines exist, we configure Freshsales Deal pipelines before Deal migration. Schema is configured in the Freshsales admin panel and validated before any data moves.
Filter and automation documentation
We export all active SalesSeek filter definitions and their Group associations. We document automation rules through screenshots or a guided walk-through with the customer. The filter definitions become a recreation guide for Freshsales Saved Views. The automation documentation becomes a rebuild guide for Freshsales Workflow Automation. This documentation is delivered before cutover so the customer's admin can begin rebuild work in parallel.
Owner reconciliation and User provisioning
We extract every distinct SalesSeek User referenced on Organization, People, Deal, and Task records and match by email against the Freshsales destination User table. Any SalesSeek User without a matching Freshsales User goes to a reconciliation queue. The customer's Freshsales admin provisions missing Users before migration. Migration cannot proceed past record import because Owner lookups are required on Deals and Tasks.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from SalesSeek Organizations), Leads and Contacts (with the People split applied and AccountId resolved), Deals (with AccountId, Contact/Lead lookups, OwnerId, and pipeline assignment resolved), Tasks, Activities (calls, emails, meetings, notes), Custom Field values, Attachments, Tags, and Groups (mapped to Teams or Lists). Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and rebuild handoff
We freeze SalesSeek writes during cutover, run a final delta migration of any records modified during the migration window, then enable Freshsales as the system of record. We deliver the filter recreation guide and automation rebuild guide to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's sales team. We do not rebuild SalesSeek automation rules as Freshsales Workflow Automation inside the migration scope; that is a separate rebuild task for the customer's admin or a Freshworks partner.
Platform deep dives
SalesSeek
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 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 SalesSeek and Freshsales.
Object compatibility
2 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
SalesSeek: Not publicly documented.
Data volume sensitivity
SalesSeek 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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