CRM migration
Field-level mapping, validation, and rollback between Bloomr and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
Bloomr
Source
Salesforce Sales Cloud
Destination
Compatibility
9 of 12
objects map 1:1 between Bloomr and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Bloomr is a lightweight, low-cost CRM with no publicly documented API, no published schema, and minimal third-party review footprint. Migration scoping begins with live API exploration to confirm authentication method, endpoint availability, and pagination behavior before any data transfer begins. We map Bloomr's Contacts, Companies, Deals, Users, and Activities to their Salesforce equivalents, discover all custom fields during profiling, and design the destination schema in a Salesforce Sandbox before touching production. Bloomr's workflow and automation rules do not export via any documented mechanism; we deliver a written audit of any automations found in the UI for manual rebuild in Salesforce Flow. Engagement history (calls, emails, meetings, tasks) migrates via the Salesforce Bulk API with parent-record lookup resolution so that each activity lands on the correct Contact, Account, or Opportunity. Because Bloomr's prospect model is not publicly documented, we apply a conservative Lead-first mapping strategy and flag any records that clearly represent existing customers for Contact treatment.
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 Salesforce Sales Cloud, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Bloomr
Contact
Salesforce Sales Cloud
Lead or Contact
1:manyBloomr uses a single Contact object as the primary person record. Because Bloomr does not publicly document a prospect-versus-customer distinction, we apply a conservative Lead-first mapping strategy during scoping: all Contacts with no associated Deal are mapped to Salesforce Lead; all Contacts with at least one associated Deal are mapped to Salesforce Contact attached to an Account. We preserve the original Bloomr contact ID in a custom field bloomr_contact_id__c on both Lead and Contact for reconciliation. If the source API exposes a lifecycle stage, lead status, or contact type property, we apply that as a secondary split criterion.
Bloomr
Company
Salesforce Sales Cloud
Account
1:1Bloomr Companies map directly to Salesforce Account. The company name becomes Account Name; domain or website becomes the Website field; industry, size, and address fields map to their Salesforce equivalents. Account is created before any Contact import so that the AccountId Lookup relationship is satisfied at the moment of Contact insert. We use company name as the dedupe key during import to prevent duplicate Account creation.
Bloomr
Deal
Salesforce Sales Cloud
Opportunity
1:1Bloomr Deals map to Salesforce Opportunity. Deal name becomes Opportunity Name; deal value maps to Amount; expected close date maps to CloseDate; stage name maps to StageName. We configure a Salesforce Sales Process and Opportunity Record Type before migration so that stage picklist values are whitelisted. Closed-Lost and Closed-Won outcomes are preserved. OwnerId is resolved via the Bloomr-to-Salesforce User mapping.
Bloomr
Deal Stage
Salesforce Sales Cloud
Opportunity Stage
lossyBloomr deal stages map to Salesforce Opportunity Stage values. If Bloomr uses a single default pipeline, we create one Salesforce Sales Process. If multiple pipelines are discovered during API profiling, we create one Record Type per pipeline and assign a corresponding Sales Process that whitelists only the relevant stage values for each business line.
Bloomr
User
Salesforce Sales Cloud
User
1:1Bloomr Users map to Salesforce User records. We resolve by email match during migration. Any Bloomr User without a matching Salesforce User is held in a reconciliation queue for the customer's admin to provision before record import resumes. OwnerId references on Deals, Contacts, and Activities cannot be inserted without a resolved User record.
Bloomr
Activity: Call
Salesforce Sales Cloud
Task (TaskSubtype = Call)
1:1Bloomr call activities map to Salesforce Task with TaskSubtype set to Call. Call duration, disposition, and any notes migrate to custom Task fields. ActivityDate preserves the original timestamp. WhoId on Task points to the migrated Lead or Contact; WhatId points to the related Account or Opportunity. We use the Bulk API 2.0 for large call histories.
Bloomr
Activity: Email
Salesforce Sales Cloud
EmailMessage + Task
1:1Bloomr email activities migrate to Salesforce EmailMessage records (the email body and headers) linked to an Activity Task record (the timeline entry). WhoId on EmailMessage points to the converted Lead or Contact; WhatId points to the related Opportunity or Account. We use the Bulk API 2.0 with chunking for email histories exceeding 50,000 records.
Bloomr
Activity: Meeting
Salesforce Sales Cloud
Event
1:1Bloomr meeting activities map to Salesforce Event. StartDateTime, EndDateTime, Subject, and Location migrate directly. Attendees map to EventRelation records pointing at the migrated Leads, Contacts, and Users. If the source API exposes attendee data, we create EventRelation records during migration; otherwise we note the attendee list in a custom Event field for manual follow-up.
Bloomr
Activity: Task
Salesforce Sales Cloud
Task
1:1Bloomr task activities map to Salesforce Task. Status, Priority, Subject, and ActivityDate preserve. Task assignment migrates by resolving the Bloomr owner reference to Salesforce OwnerId via the User mapping. Completed tasks retain their Status; open tasks are migrated as open to avoid triggering closed-task workflows in Salesforce.
Bloomr
Custom Fields
Salesforce Sales Cloud
Custom Fields
lossyBloomr custom fields are discovered during live API profiling. We enumerate all custom field names, data types, and object associations before designing the destination Salesforce schema. Custom fields are created in Salesforce with type-mapped equivalents (text to Text, number to Number, date to Date, picklist to Picklist) before any data import. We preserve the original Bloomr field label in a field description for admin reference.
Bloomr
Attachments
Salesforce Sales Cloud
ContentDocument
1:1Attachment migration is conditional on API access. If the Bloomr API exposes file attachments linked to Contacts, Deals, or Activities, we migrate them to Salesforce ContentDocument via ContentVersion upload, linked via ContentDocumentLink to the parent record. If the API does not expose attachments, we document the attachment inventory in the UI during discovery and flag it as out of scope for the standard migration. Customers then export attachments manually from the Bloomr UI if needed.
Bloomr
Workflows
Salesforce Sales Cloud
None
1:1Bloomr workflow rules, automation triggers, and sequence configurations are not accessible via documented export. We cannot migrate workflows as structured data. During discovery, we use a workflow audit template to capture every active automation from the Bloomr UI: trigger object, trigger condition, action type, and destination field or object. We deliver this as a written workflow inventory document with recommended Salesforce Flow equivalents for each automation. The customer's admin or a Salesforce partner rebuilds them post-migration.
| Bloomr | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Contact | Lead or Contact1:many | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Deal Stage | Opportunity Stagelossy | Fully supported | |
| User | User1:1 | Fully supported | |
| Activity: Call | Task (TaskSubtype = Call)1:1 | Fully supported | |
| Activity: Email | EmailMessage + Task1:1 | Fully supported | |
| Activity: Meeting | Event1:1 | Fully supported | |
| Activity: Task | Task1:1 | Fully supported | |
| Custom Fields | Custom Fieldslossy | Mapping required | |
| Attachments | ContentDocument1:1 | Fully supported | |
| Workflows | None1:1 | 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.
Bloomr gotchas
No publicly documented API or export endpoints
Workflow and automation data is not exportable
Attachment and file storage access is unconfirmed
Salesforce Sales Cloud gotchas
Workflow Rules and Process Builder are retired
Bulk API batch quota exhaustion during large imports
Storage overage billing is non-obvious
Account-Contact many-to-many relationship mapping
Territory and team member import ordering dependencies
Pair-specific challenges
Migration approach
API exploration and schema profiling
We begin with live API exploration to confirm the Bloomr authentication method, enumerate available endpoints, measure pagination behavior, and identify rate limits. This phase determines whether we work with a REST API, a bulk export endpoint, or a manual CSV extraction path. We extract a sample of 50-200 records across Contacts, Companies, Deals, Users, and Activities to build the initial schema map. We document custom field names and types, lookup relationships, and any tier-gated objects encountered. The output is a Bloomr Schema Discovery Report that confirms data availability before we commit to a migration timeline.
Salesforce destination schema design
We design the destination Salesforce schema in a Sandbox org based on the discovered Bloomr schema. This includes provisioning custom fields (with Salesforce-typed equivalents matched to Bloomr field types), configuring Sales Processes and Record Types for the Opportunity object, setting up page layouts per Record Type, and designing the Lead-versus-Contact split rule. We create the bloomr_record_id__c and bloomr_object_type__c custom fields on all migrated objects for reconciliation. Schema is deployed via metadata API into Sandbox for validation before any production data is touched.
Sandbox migration and reconciliation
We run a full migration into a Salesforce Sandbox (Full Copy preferred, Partial Copy acceptable) using production-like data volume from the Bloomr source. The customer's RevOps lead reconciles record counts (Contacts in, Leads in, Accounts in, Opportunities in, Activities in), spot-checks 25-50 records against the Bloomr source for field accuracy, and validates that the Lead-Contact split rule applied correctly. Any mapping corrections (wrong field type, missed custom field, stage mismatch) happen in the Sandbox before we touch production. The customer signs off on the Sandbox reconciliation report before we schedule the production migration window.
Owner reconciliation and User provisioning
We extract every distinct Bloomr User referenced on Contact, Company, Deal, and Engagement records and match by email against the Salesforce destination org's User table. Any Bloomr Owner without a matching Salesforce User is added to a reconciliation queue. The customer's Salesforce admin provisions missing Users (active or inactive depending on whether the original Bloomr user is still employed). Migration cannot proceed past the record import phase because OwnerId references are required on standard objects. We validate the User mapping before scheduling the production cutover window.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from Bloomr Companies), Contacts (with AccountId resolved from the Account mapping), Leads (with the Lead-first split applied for unmonetized contacts), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Activity history (Tasks, Events, EmailMessages via Bulk API 2.0 in reverse-chronological order to preserve timeline sequencing), Custom Fields (mapped field-by-field from the discovery schema map), and Attachments (if API access confirmed during exploration). Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, delta sync, and workflow handoff
We freeze writes to Bloomr during the cutover window, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We deliver the Workflow and Automation Inventory document to the customer's admin team with recommended Salesforce Flow equivalents. We support a five-business-day hypercare window where we resolve any data quality issues raised by the sales team. We do not rebuild Bloomr automations as Salesforce Flow inside the migration scope; that is a separate engagement or an internal admin task. Post-migration, we provide a data reconciliation summary showing record counts before and after for each object.
Platform deep dives
Bloomr
Source
Strengths
Weaknesses
Salesforce Sales Cloud
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 Salesforce Sales Cloud.
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.
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