CRM migration
Field-level mapping, validation, and rollback between MetroLeads and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
MetroLeads
Source
Freshsales
Destination
Compatibility
8 of 10
objects map 1:1 between MetroLeads and Freshsales.
Complexity
BStandard
Timeline
2-4 weeks
Overview
MetroLeads organizes data around a Lead-centric model where each record carries a state, source_tags, and lead_fields keyed by internal property IDs rather than human-readable names. Freshsales uses the standard CRM triad of Leads, Contacts, and Accounts with a separate Deals object for pipeline management. The structural difference is that MetroLeads Lead state values are tenant-configured strings with no fixed vocabulary, requiring an upfront catalog of every unique value before mapping to Freshsales lifecycle stages or custom picklist fields. We also resolve MetroLeads custom lead_fields by fetching the property schema first, building an ID-to-name lookup table, and applying it during field mapping so destination custom fields carry the correct names. Source tags, embedded phones, and embedded emails flatten into Freshsales standard contact records with type metadata preserved. Workflows and automations do not migrate; we deliver a written inventory for your admin to rebuild in Freshsales Flow.
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 MetroLeads 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.
MetroLeads
Lead
Freshsales
Contact or Lead
1:manyMetroLeads Leads with lifecycle state of contacted, qualified, or converted map to Freshsales Contact tied to an Account. Leads with state of new, unqualified, or prospect map to Freshsales Lead. We extract the full tenant-specific state vocabulary during export, present it to the customer for explicit split rule definition, and preserve the original MetroLeads state value in a custom field metroleads_original_state__c on both Lead and Contact for audit and reporting continuity.
MetroLeads
Company
Freshsales
Account
1:1MetroLeads Companies serve as parent containers for Leads and map directly to Freshsales Account. The API path /companies/<company_uuid>/leads establishes the hierarchy. We export Company records first and resolve the parent AccountId on each Lead during import so that Contact-to-Account lookups are satisfied at insert time rather than requiring post-migration parent reassignment.
MetroLeads
Phone (embedded array)
Freshsales
Contact Phone
1:1Phones embedded in MetroLeads Lead records with type metadata (Work, Mobile, Home, etc.) extract into Freshsales Contact phone fields. We preserve type labels by mapping to Freshsales phone_type values. Multiple phones per Lead become multiple Contact Phone records linked via the contact_id lookup.
MetroLeads
Email (embedded array)
Freshsales
Contact Email
1:1Emails embedded in MetroLeads Lead records with type metadata (Work, Personal) extract into Freshsales Contact email fields. Type metadata maps to Freshsales email_type labels. Primary email flag from MetroLeads determines which email becomes the primary contact email in Freshsales.
MetroLeads
Source Tags
Freshsales
Contact Tags or Custom Multi-Select Field
lossyMetroLeads source_tags are string arrays on Lead records indicating disposition or source channel (e.g. disposition_answered, channel_web). We export raw tag strings and map them to Freshsales Tags. If the customer uses tags for data classification rather than marketing segmentation, we map to a custom multi-select picklist field on Contact to preserve the full tag set without creating Freshsales system tags that alter CRM behavior.
MetroLeads
Lead Fields (Custom Properties)
Freshsales
Contact Custom Fields
1:1MetroLeads lead_fields store tenant-specific custom property values keyed by internal property IDs (e.g. customer_id_070). We fetch the MetroLeads property schema first, build an ID-to-name mapping table, and apply it during field mapping so destination custom fields carry the correct human-readable names rather than ID strings. Custom field types are inferred from the property data type in the schema and mapped to the equivalent Freshsales field type before import.
MetroLeads
Event
Freshsales
Appointment
1:1MetroLeads Events track engagement history tied to Leads with event_type and event_timestamp fields. We map Events to Freshsales Appointments, preserving the event_type as appointment title, event_timestamp as StartDateTime, and any disposition notes in the appointment description. Event-to-Lead associations require join mapping across the MetroLeads API response structure to resolve the correct Freshsales Contact or Lead contact_id.
MetroLeads
User
Freshsales
User
1:1MetroLeads Users with id, name, and role assignments export and map to Freshsales User records by email match. Owner assignments on Leads (assigned_to, user_assigned_to) resolve to Freshsales OwnerId via the User lookup. Any MetroLeads User without a matching Freshsales User email goes to a reconciliation queue for the customer's admin to provision before record import resumes.
MetroLeads
Lead Group
Freshsales
Contact List or Custom Field
1:1MetroLeads lead_group is a UUID reference grouping related Leads. This is not a standard Freshsales concept. We export the UUID and map grouped Leads to Freshsales Contact Lists or a custom text field holding the original lead_group UUID, depending on whether the customer uses Lists for segmentation or needs the grouping preserved as a data attribute for reference.
MetroLeads
Intellisearch
Freshsales
Custom Fields or Notes
1:1Intellisearch is a MetroLeads-specific search and scoring layer built on Lead data. The scoring logic and saved searches do not map 1:1 to Freshsales. We export the raw Intellisearch configuration and scoring parameters as a JSON document attached to the primary Contact record via a long-text custom field for reference. Any pre-calculated lead scores map to a numeric custom field freshsales_intellisearch_score__c.
| MetroLeads | Freshsales | Compatibility | |
|---|---|---|---|
| Lead | Contact or Lead1:many | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Phone (embedded array) | Contact Phone1:1 | Fully supported | |
| Email (embedded array) | Contact Email1:1 | Fully supported | |
| Source Tags | Contact Tags or Custom Multi-Select Fieldlossy | Fully supported | |
| Lead Fields (Custom Properties) | Contact Custom Fields1:1 | Mapping required | |
| Event | Appointment1:1 | Fully supported | |
| User | User1:1 | Fully supported | |
| Lead Group | Contact List or Custom Field1:1 | Mapping required | |
| Intellisearch | Custom Fields or Notes1:1 | Mapping required |
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.
MetroLeads gotchas
Merge API field priority can silently overwrite data
Custom lead_fields use property IDs not property names
Tenant-specific state values require pre-migration catalog
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 schema extraction
We audit the MetroLeads API to extract the full object inventory: Leads with embedded phones and emails, Companies, Events, Users, source_tags vocabulary, lead_fields property schema (ID-to-name mapping), and all unique state values. We pair this with a Freshsales schema review to identify which standard fields are available, which custom fields must be created, and whether the customer plans to use Freshsales Leads or Contact-only model. The discovery output is a written migration scope with the state-value catalog presented to the customer for explicit split rule definition.
Freshsales custom field creation and field mapping configuration
We create all destination custom fields in Freshsales Admin Settings matching the MetroLeads property names and inferred types from the schema fetch. We configure the Freshsales Lead-to-Contact field mapping dropdown for every custom field so that data is preserved during conversion. We also create the Freshsales lifecycle stage or custom picklist values matching the MetroLeads state catalog. Custom fields and mapping configuration deploy into the Freshsales account before any data import begins.
Merge-pending pair identification and reconciliation
We scan MetroLeads for duplicate Lead pairs flagged as merge-pending. For each pair, we present the customer with the field-level diff so they can confirm which record should survive. We capture the decision explicitly in a reconciliation document and handle the merge in the destination during import rather than executing it in MetroLeads before export, preserving the original MetroLeads data integrity.
Export in dependency order with tenant-state catalog applied
We export MetroLeads records in dependency order: Users first (for Owner resolution), then Companies (for Account parent lookups), then Leads with state catalog applied for split rule resolution, then Events. Embedded phones and emails extract during the transform phase and write to Freshsales Contact phone and email records after Contact insert. Source tags and lead_group UUIDs write alongside their parent records.
Production migration with validation gates
We run production migration in record-dependency order: Users validated, then Accounts from Companies, then Contacts from Leads with the state-split rule applied, then Events as Appointments. Each phase emits a row-count reconciliation report before the next phase begins. We validate that lead_fields landed in the correct Freshsales custom fields and that Lead conversion mapping is active for any Leads that qualify as Contacts.
Cutover and automation inventory delivery
We freeze MetroLeads writes during cutover, run a final delta migration of records modified during the migration window, then enable Freshsales as the system of record. We deliver the automation inventory document listing every MetroLeads task reminder and follow-up sequence with its trigger, conditions, and recommended Freshsales Flow equivalent for the customer's admin to rebuild. We support a 72-hour post-cutover hypercare window for reconciliation issues.
Platform deep dives
MetroLeads
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 MetroLeads 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
MetroLeads: Not publicly documented in the available research data.
Data volume sensitivity
MetroLeads 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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