CRM migration
Field-level mapping, validation, and rollback between Bloomr and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Bloomr
Source
Freshsales
Destination
Compatibility
5 of 8
objects map 1:1 between Bloomr and Freshsales.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Migrating from Bloomr to Freshsales is a migration from an undocumented-source into a structured, API-accessible destination. Bloomr's primary documentation gap is the absence of any public API reference, developer documentation, or confirmed export endpoints, which means every engagement starts with live API exploration before we can commit to a record-count estimate or timeline. We probe authentication, pagination, and available endpoints before building the migration plan. Once Bloomr's data is accessible, we map standard CRM objects—Contacts, Companies, Deals, Activities, and Custom Fields—to their Freshsales equivalents (Contacts, Accounts, Deals, Tasks/Events, and Custom Fields). Owner assignments migrate by email match. Workflows, automations, and any attachment storage are not accessible via documented mechanisms; we provide a written inventory of these gaps for the customer's admin to rebuild manually in Freshsales. Freshsales' built-in email, phone, chat, and SMS channels replace Bloomr's basic CRM capabilities, and Freshsales' AI-powered lead scoring and visual pipeline give the team a more scalable sales tool going forward.
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 Bloomr 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.
Bloomr
Contact
Freshsales
Contact or Lead (split decision)
lossyBloomr's primary person record is its Contact object. We map contact name, email, phone, and any discovered custom fields. The split decision between Freshsales Lead and Contact depends on whether the Bloomr contact represents an unqualified prospect or a qualified buyer tied to a company. We profile the data during scoping and recommend the split rule based on the customer's prospect-to-customer ratio. Original Bloomr contact properties that have no direct Freshsales field map to Custom Fields on the resulting record.
Bloomr
Company/Account
Freshsales
Account
1:1Bloomr Company records map to Freshsales Account. Company name, domain, industry, and address fields map to their Freshsales Account equivalents. We create Accounts first in migration order so that Contact records can reference them via the Account Lookup during insert. If Bloomr companies store a domain field, we use it as the dedupe key to avoid duplicate Accounts on re-migration.
Bloomr
Deal
Freshsales
Deal
1:1Bloomr Deals map directly to Freshsales Deals. Deal name, value, stage, owner, expected close date, and associated contact or company links migrate to Freshsales Deal fields. Stage values from Bloomr may use a different label set than Freshsales defaults; we build a stage-value mapping table during scoping so that the correct Freshsales deal stage is assigned during import.
Bloomr
Deal Stage
Freshsales
Deal Stage
lossyBloomr deal stages map to Freshsales Deal stages by name and order. If Bloomr uses a custom stage label not present in Freshsales' default stage set, we create a custom Deal Stage in Freshsales before migration. Stage probability percentages map to Freshsales stage probability where supported by the destination tier.
Bloomr
User/Team Member
Freshsales
User
1:1Bloomr user records (name, email, role) map to Freshsales User by email match. Owner assignments on Deals and Contacts reference the resolved Freshsales User. Any Bloomr Owner without a matching Freshsales User enters a reconciliation queue for the customer's admin to provision before record import resumes. Active versus inactive status on the Bloomr user record determines whether the Freshsales User is created active or inactive.
Bloomr
Activity/Task
Freshsales
Task or Event
1:1Bloomr Activity records (calls, emails, meetings, tasks) map to Freshsales Task or Event depending on the activity type. Call and task activities become Task records; meeting activities become Event records with StartTime and EndTime. We preserve activity timestamps and link to the parent Contact or Deal via Freshsales' association model. Activity ordering is maintained by setting the timestamp field to the original Bloomr value.
Bloomr
Custom Field
Freshsales
Custom Field
1:1Bloomr custom fields on standard objects (Contact, Company, Deal) map to Freshsales Custom Fields created in the destination before migration. We discover all custom field names and data types during API exploration or manual data profiling, create matching Freshsales Custom Fields via the Admin API, and then populate them during the record import phase. Field type mapping (text to text, number to number, date to date, picklist to picklist) is verified before any data moves.
Bloomr
Custom Object
Freshsales
Custom Object (Entity Storage)
lossyIf Bloomr exposes a standalone custom object structure during API exploration, we map it to Freshsales Entity Storage (Freshsales custom objects). We pre-create the destination schema in Freshsales including all fields and lookup relationships to native objects before importing any data. Entity Storage custom objects are available from Growth tier and support CRUD operations via the Freshsales API. We confirm the custom object structure during discovery before committing this mapping to scope.
| Bloomr | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Contact or Lead (split decision)lossy | Fully supported | |
| Company/Account | Account1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Deal Stage | Deal Stagelossy | Fully supported | |
| User/Team Member | User1:1 | Fully supported | |
| Activity/Task | Task or Event1:1 | Fully supported | |
| Custom Field | Custom Field1:1 | Fully supported | |
| Custom Object | Custom Object (Entity Storage)lossy | 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.
Bloomr gotchas
No publicly documented API or export endpoints
Workflow and automation data is not exportable
Attachment and file storage access is unconfirmed
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
Live API exploration and data profiling
We begin every Bloomr engagement by probing the source system live, not by assuming the documented schema. We attempt to authenticate to any available API endpoint, enumerate objects, confirm pagination behavior, and measure rate limits. We also request a manual data export from the Bloomr UI to cross-reference against the API results. The output is a written scoping report with confirmed record counts per object, a list of accessible fields, any discovered tier constraints, and a recommendation on whether API-based migration or CSV-based migration is the appropriate path.
Freshsales schema provisioning
We provision the destination Freshsales schema before any data moves. This includes creating any Custom Fields required by the Bloomr data, configuring Freshsales Deal Stages to match the Bloomr stage labels (creating custom stages where Bloomr uses non-default values), and designing the Lead-Contact split rule for Contacts from Bloomr. If Bloomr exposes a custom object structure, we create Freshsales Entity Storage objects with the appropriate lookup relationships. Schema provisioning uses the Freshsales Admin API. We validate the schema in the customer's Freshsales environment before proceeding to migration.
Owner reconciliation
We extract every distinct Bloomr Owner referenced on Deals and Contacts and attempt to match by email against the destination Freshsales org's User table. Owners without a matching Freshsales User enter a reconciliation queue. The customer's Freshsales admin provisions any missing Users before record migration begins. OwnerId references must be resolved before Deal and Contact records can be inserted without errors. We do not create placeholder or phantom users; the admin must provision real User records.
Record migration in dependency order
We run record migration in the order that satisfies foreign-key dependencies: Accounts first (from Bloomr Companies), then Contacts (with AccountId resolved where applicable), then Deals (with OwnerId and ContactId resolved), then Activity history (Tasks and Events via Freshsales API with appropriate batching). Custom Fields populate during each phase rather than in a separate step. Each phase emits a row-count reconciliation report before the next phase begins. If Bloomr API is inaccessible and we are working from CSV exports, we run CSV-based imports using the Freshsales bulk import endpoint with the same dependency order.
Cutover and gap documentation
We freeze Bloomr write access during cutover, run a final delta scan for any records modified during the migration window, apply those delta updates to Freshsales, then mark Freshsales as the system of record. We deliver the Workflow and Automation Gap Inventory to the customer's admin: a written list of every Bloomr automation we identified during scoping, the trigger and conditions we observed, and the recommended Freshsales workflow builder equivalent. We do not rebuild Bloomr automations as Freshsales workflows inside the standard migration scope; that is a separate rebuild engagement.
Post-cutover validation and support window
We support a five-business-day hypercare window after cutover during which the customer's sales team can flag any records that appear missing, incorrectly mapped, or incomplete. We resolve reconciliation issues within scope at no additional charge during this window. We do not provide ongoing admin support, training, or workflow rebuild as standard scope. Any post-migration admin questions, training requests, or workflow rebuild work are separate engagements.
Platform deep dives
Bloomr
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 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 Bloomr and Freshsales.
Object compatibility
3 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
Bloomr: Not publicly documented.
Data volume sensitivity
Bloomr 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
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FAQ
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