CRM migration
Field-level mapping, validation, and rollback between Spark CRM and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Spark CRM
Source
Freshsales
Destination
Compatibility
9 of 10
objects map 1:1 between Spark CRM and Freshsales.
Complexity
BStandard
Timeline
48–72 hours
Overview
Spark CRM and Freshsales both track contacts, companies, and deals, but the platforms diverge sharply on automation depth, lifecycle modeling, and API behavior. Spark CRM stores lifecycle data and custom properties in its native object model; Freshsales surfaces those same properties through Contact Lifecycle Stages and custom fields, with pick-list values that require explicit value-by-value mapping. Spark CRM's API rate limits vary by subscription tier; Freshsales enforces hourly caps (Growth: 1,000/hr, Pro: 2,000/hr, Enterprise: 5,000/hr) that govern migration throughput. We sequence the migration to resolve AccountId lookups before Contact inserts, split Spark CRM's multi-company contact associations into a primary Freshsales AccountId plus contact-level notes, and run a sample migration with field-level diff before committing the full dataset. Workflows, sequences, and automations do not migrate — we export their definitions as a rebuild reference for your Freshsales admin. Our approach also includes mapping custom field data types to Freshsales equivalents, preserving original timestamps as custom datetime attributes, and running a pre-flight validation of owner email resolution. The migration plan is reviewed by your team before any data moves, ensuring alignment with Freshsales pipeline configuration and lifecycle stage naming.
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 Spark CRM 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.
Spark CRM
Contact
Freshsales
Contact
1:1Direct map. Spark CRM Contact maps to Freshsales Contact. Freshsales Contact requires a valid email address — Spark CRM contacts without email are migrated as Leads first. The linked_accounts field resolves to the Freshsales AccountId lookup; if no matching Account exists, we create one from the company name before inserting the Contact.
Spark CRM
Company
Freshsales
Account
1:1Direct map. Spark CRM Company becomes Freshsales Account — name, website, industry, annual revenue, and employee count transfer as-is. Industry pick-list values that have no Freshsales equivalent receive the default pick-list value; the mismatch is flagged in the sample migration report.
Spark CRM
Deal
Freshsales
Deal
1:1Direct map. Spark CRM Deal fields (name, amount, stage, close_date, owner, priority) map to Freshsales Deal fields with the same names. The pipeline stage in Spark CRM maps to Freshsales deal_stage_id — value-by-value mapping is applied per pipeline since Freshsales stage names are scoped to each pipeline.
Spark CRM
Account Link
Freshsales
AccountId + Note
many:1Merged. Spark CRM allows N:1 contact-to-company associations (a contact can link to multiple companies). Freshsales supports a single primary AccountId per contact. We migrate the most-recently-modified linked company as the primary AccountId; all other linked companies are stored as a contact note so no association data is lost.
Spark CRM
Activity (Email)
Freshsales
Task
1:1Direct map. Spark CRM email activities become Freshsales Tasks with Type='Email'. Subject, body, timestamp, and owner_id transfer directly. The original sent/received datetime is preserved as a custom datetime field on the Task for reporting continuity. We also ensure that any email attachments are linked to the Task via the Freshsales file attachment API, and that the task status is set to 'Completed' to reflect the sent nature of the activity.
Spark CRM
Activity (Call)
Freshsales
Task
1:1Direct map. Spark CRM call logs migrate as Freshsales Tasks with Type='Call'. Duration, disposition, and outcome notes are stored as custom fields on the Task. Owner and original timestamp transfer directly. We also map the call direction (inbound/outbound) to a custom pick-list field, and attach any call recordings if available via the Freshsales file attachment API.
Spark CRM
Activity (Meeting)
Freshsales
Event
1:1Direct map. Spark CRM meeting records become Freshsales Events. Start time, end time, location, title, and attendee list transfer as-is. Original organizer and timestamp are preserved for reporting. We also map the meeting status (scheduled/completed/cancelled) to a custom pick-list field, and link any meeting notes or attachments using the Freshsales file attachment API.
Spark CRM
Custom Object
Freshsales
Custom Object
1:1Direct map for straightforward custom objects. Spark CRM custom objects with one-to-many relationships to contacts or deals map 1:1 to Freshsales Custom Objects. N:N custom object relationships in Spark CRM require a Freshsales junction object — we surface this in the migration plan and create the junction schema during the Freshsales configuration phase.
Spark CRM
Tag
Freshsales
Tag
1:1Direct map. Tags from Spark CRM transfer as Freshsales Tags attached to the corresponding record (Contact, Account, or Deal). Tags are a native Freshsales field — no transformation or custom field creation required. During migration, we deduplicate tags case-insensitively to avoid creating duplicate tag entries in Freshsales, and we log the original Spark CRM tag names for audit purposes.
Spark CRM
Owner
Freshsales
User (resolved by email)
1:1Transformed. Spark CRM owner_id maps to Freshsales user_id by email address matching. Unmatched owners are flagged before migration; records are assigned to a fallback Freshsales user or held for manual assignment. Freshsales users must exist in the account before their records can be assigned.
| Spark CRM | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Account Link | AccountId + Notemany:1 | Fully supported | |
| Activity (Email) | Task1:1 | Fully supported | |
| Activity (Call) | Task1:1 | Fully supported | |
| Activity (Meeting) | Event1:1 | Fully supported | |
| Custom Object | Custom Object1:1 | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Owner | User (resolved by email)1:1 | 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.
Spark CRM gotchas
Multiple unrelated 'Spark CRM' products exist
Platform fee on top of monthly subscription affects long-term TCO
Payment-orchestration data is tightly coupled to Spark's runtime
Limited public review footprint for due diligence
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
Audit Spark CRM data volume and structure
We connect a scoped read-only API integration to Spark CRM and extract a full inventory of all objects: contacts, companies, deals, activities, and custom objects. The audit identifies records missing email addresses (flagged for Lead routing), duplicate companies, open deals without close dates, and any Spark CRM custom fields or pick-list values. This inventory drives the migration plan, the Freshsales schema setup checklist, and the price fix.
Configure Freshsales schema to receive the migration
Before any data moves, we create the Freshsales custom fields, pick-list values, and deal pipeline stage names needed for the migration. Pipeline names and stage labels from Spark CRM are mapped to Freshsales pipeline and stage objects. Any Spark CRM lifecycle values without a Freshsales native equivalent are set up as custom pick-list values. Owner email-to-user resolution is validated against your Freshsales user list. We deliver a configuration checklist your Freshsales admin can review before we proceed.
Resolve owners and prepare lookup chains
Spark CRM owner_id values are resolved to Freshsales user_id by email address matching. Accounts are inserted before Contacts (Freshsales Contact requires a valid AccountId). Contacts are inserted before Deals that reference them. Any contact without a valid email is flagged and routed to the Freshsales Leads object instead. Unmatched owners are assigned to a designated fallback user and flagged in the migration report for post-migration reassignment.
Run a sample migration with field-level diff
A representative slice of 100–500 records across contacts, accounts, deals, and activities migrates first. We generate a field-level comparison report showing source and destination values for every mapped field. This report validates lifecycle stage mapping, pipeline-to-stage mapping, custom field creation, and owner resolution. Your team reviews the report and approves before the full migration runs. The slice includes at least one record from each Spark CRM custom object and each pipeline stage, ensuring coverage of edge cases such as missing email addresses and unusual pick-list values.
Execute full migration with delta-pickup window
The full dataset migrates using Freshsales API with automatic rate-limit backoff based on your plan tier. Accounts migrate first, then Contacts, then Deals, then Activities. A 24–48 hour delta-pickup window at the end captures records modified in Spark CRM during the cutover. An audit log records every operation. One-click rollback is available if field-level reconciliation fails. We also pause any scheduled Freshsales workflow triggers during the migration window to prevent partial automation firing on incomplete data. The migration workers run in parallel up to the API limit, and each batch is confirmed before the next starts.
Validate, deliver, and rebuild reference
We validate record counts and spot-check field values against the source export. You receive a migration summary, the Spark CRM workflow definitions as a written rebuild reference for your Freshsales admin, and a list of any records that require manual review (such as unmapped contacts or unmatched owners). Post-migration support is available for 10 business days. We also compare aggregated metrics such as total deal amounts and contact lifecycle stage distribution to detect any anomalies before final sign-off.
Platform deep dives
Spark CRM
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 Spark CRM 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
Spark CRM: Not publicly documented on sparkcrm.io.
Data volume sensitivity
Spark CRM 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
Answers to the questions buyers ask most during Spark CRM to Freshsales migration scoping. Not seeing yours? Book a call.
Walk through your Spark CRM to Freshsales migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave Spark CRM
Other ways to arrive at Freshsales
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.