CRM migration
Field-level mapping, validation, and rollback between Property Minder and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Property Minder
Source
Freshsales
Destination
Compatibility
11 of 12
objects map 1:1 between Property Minder and Freshsales.
Complexity
BStandard
Timeline
24–72 hours
Overview
Property Minder's CRM layer centers on contacts, companies, and property-specific deal records tied to MLS searches and listing alerts. Its data model stores owner assignments, create/update timestamps, and association metadata — but workflows, automations, and IDX search configurations are application-level logic that does not live in the data layer and therefore does not export. Freshsales uses a standard SMB CRM object model: Leads and Contacts as separate person records, Accounts for companies, Deals for pipeline stages, and Tasks/Events/Notes for activity history. Custom fields on all objects handle real estate-specific properties. FlitStack AI reads Property Minder's contact, company, and deal API endpoints, maps each record to the equivalent Freshsales object using email-based owner resolution, and writes via the Freshsales REST API. A delta-pickup window captures any records modified during the cutover window. Workflows, sequences, listing alerts, and MLS search configurations are not data — they must be rebuilt in Freshsales using Freshsales Workflows and Sales Sequences after migration completes.
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 Property Minder 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.
Property Minder
Contact
Freshsales
Contact / Lead
1:manyProperty Minder contacts with high-intent deal activity and lifecycle stage routing to Freshsales Contact. Inactive or early-stage contacts route to Freshsales Lead. Email address is the primary de-duplication key; unmatched records surface in a pre-migration reconciliation report. Contacts that have no email are matched by phone number or company name where possible. The reconciliation report flags duplicate contacts and allows your team to decide which record to keep.
Property Minder
Contact Lifecycle Stage
Freshsales
Custom pick-list field on Contact and Lead
1:1Property Minder lifecycle stage (Lead, Active, Customer) maps to a custom Lifecycle_Stage__c pick-list on Freshsales Contact and Lead. Stage values are preserved verbatim. Transition timestamps stored in a secondary custom datetime field for audit continuity. If your organization uses custom stage names beyond the standard three, those are also transferred as distinct pick-list entries. The datetime field captures the exact moment a contact moved between stages, enabling historical stage‑change reports after migration.
Property Minder
Company
Freshsales
Account
1:1Direct name, domain, industry, employee-count, and revenue mapping. Multi-contact companies from Property Minder create one Freshsales Account with all associated contacts linked via Account Contact Relationships. Parent-company hierarchies map to Freshsales Parent Account field. If a Property Minder company lacks a domain, FlitStack uses the primary contact email domain as a fallback. Additional fields such as annual revenue are mapped directly, preserving monetary formatting.
Property Minder
Property / Deal
Freshsales
Deal
1:1Each Property Minder property deal becomes a Freshsales Deal. Deal name maps to Deal.Name. Amount, close date, stage, and owner resolve by email match to Freshsales users. Property-specific fields (listing ID, property type, status) migrate to Freshsales custom fields on the Deal object.
Property Minder
Pipeline
Freshsales
Sales Pipeline
1:1Property Minder deal pipelines map to Freshsales Sales Pipelines 1:1. Each pipeline in Property Minder becomes a named pipeline in Freshsales. Stage labels and probabilities are re-applied per Freshsales pipeline configuration after migration. If a pipeline contains stages not supported by Freshsales defaults, custom stage names are created. Probability values are transferred as entered, and forecast categories are assigned based on your specified mapping.
Property Minder
Pipeline Stage
Freshsales
Deal Stage
1:1Stage names mapped value-by-value from Property Minder to Freshsales Deal Stage values. Stage probabilities and forecast categories re-applied from Freshsales defaults or your specified stage configuration. Stage-entered timestamps preserved as custom datetime fields. If a stage name does not exist in Freshsales, FlitStack creates it and maps the original probability. Forecast categories are set per stage to align with your revenue‑recognition rules.
Property Minder
MLS Search / Listing Alert
Freshsales
Custom field on Deal (lookup reference)
1:1Property Minder MLS search associations have no Freshsales native equivalent. Migrated as a text lookup field (MLS_Search_ID__c) on the Deal for reference. Full MLS search configuration must be rebuilt in Property Minder or transferred manually as it is application-level configuration, not data.
Property Minder
Activity / Call Log
Freshsales
Task (type: Call)
1:1Property Minder call logs map to Freshsales Tasks with Task Type set to 'Call'. Original call timestamps, duration, owner, and outcome notes are preserved. Owner resolved by email match to Freshsales users; unmatched tasks assigned to a designated fallback owner.
Property Minder
Appointment / Meeting
Freshsales
Event
1:1Property Minder calendar appointments map to Freshsales Events with original start/end times, subject, location, and owner preserved. Owner email resolution applies. Attendee associations from Property Minder migrate as Event invitee records in Freshsales. If an attendee email does not match an existing Freshsales contact, FlitStack creates a Lead record for them. Recurring appointments are split into individual events, preserving the recurrence pattern in a custom field for reference.
Property Minder
Note
Freshsales
Note
1:1Property Minder notes on contacts, companies, and deals migrate as Freshsales Notes attached to the corresponding record. Rich-text formatting is preserved where Property Minder's export format allows. Inline links are stored as plain-text references. If a note contains embedded images, the image URLs are migrated as external links. Any note that exceeds the Freshsales character limit is split into multiple notes, with a continuation marker.
Property Minder
Custom Contact Field (real estate)
Freshsales
Custom field on Contact/Deal
1:1Property Minder custom fields specific to real estate (property type preference, buyer/seller flag, pre-qualification status, preferred neighborhoods) migrate to Freshsales custom fields. Field types (text, pick-list, date, number) map to the closest Freshsales equivalent. Pick-list fields retain their allowed values; any value not recognized in Freshsales is added as a new choice. Number fields preserve formatting such as currency symbols or percentage signs if present in Property Minder.
Property Minder
Owner / User
Freshsales
Freshsales User
1:1Owner resolution runs by email match against Freshsales users before migration. Unmatched owner IDs are flagged in a pre-flight report with a fallback owner assignment rule. This prevents orphaned records landing without an assigned Freshsales user. If a fallback owner is not specified, FlitStack can assign records to a designated admin user or place them in a quarantine state for manual review after migration.
| Property Minder | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Contact / Lead1:many | Fully supported | |
| Contact Lifecycle Stage | Custom pick-list field on Contact and Lead1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Property / Deal | Deal1:1 | Fully supported | |
| Pipeline | Sales Pipeline1:1 | Fully supported | |
| Pipeline Stage | Deal Stage1:1 | Fully supported | |
| MLS Search / Listing Alert | Custom field on Deal (lookup reference)1:1 | Fully supported | |
| Activity / Call Log | Task (type: Call)1:1 | Fully supported | |
| Appointment / Meeting | Event1:1 | Fully supported | |
| Note | Note1:1 | Fully supported | |
| Custom Contact Field (real estate) | Custom field on Contact/Deal1:1 | Fully supported | |
| Owner / User | Freshsales 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.
Property Minder gotchas
MLS search assignments are not standard CRM objects
Automated follow-up sequences do not auto-migrate
Group memberships drive nurture logic—gaps cause silent sequencing failures
No documented public API for self-serve export
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 Property Minder data schema via API
FlitStack AI connects to Property Minder's API using scoped read access to enumerate all contact, company, deal, and custom field definitions. We generate a data inventory report listing record counts per object, custom field names and types, owner distribution, and pipeline/stage structure. This report is the foundation for the field-mapping manifest delivered before any data moves. During enumeration, FlitStack captures lookup relationships between contacts and companies and notes any missing emails or duplicate owner assignments. This enables your team to clean up source data before migration, reducing errors in Freshsales.
Connect Freshsales and validate target schema
We establish a Freshsales API connection with write permissions scoped to the target objects. Your Freshsales admin pre-creates the custom fields identified in the audit (MLS_Listing_ID__c, Property_Type__c, Listing_Status__c, Lifecycle_Stage__c, and any contact fields). We validate that all target fields exist before writing begins. The connection uses OAuth with an account limited to Contacts, Accounts, Deals, Tasks, Events, and Notes. Before writing, we run a field existence check via the API to confirm each custom field is present and of the correct type. If any field is missing, the migration plan is paused until your admin creates it, preventing write failures.
Map all objects and fields; resolve owner assignments
Every Property Minder object maps to its Freshsales equivalent: contacts to Contacts/Leads (split by deal activity), companies to Accounts, property deals to Deals with real estate fields, activities to Tasks/Events/Notes. Owner resolution runs by email match against Freshsales users. A pre-flight owner report is delivered to your admin for resolution before migration day. The mapping also includes preserving create and update timestamps as fields on each record. For any duplicate contacts detected, FlitStack merges them based on email uniqueness before writing. The owner report lists each unmatched email, count of records, and a fallback owner from your Freshsales user list.
Run sample migration and generate field-level diff
A representative slice of 100–500 records (contacts, accounts, deals, activities) migrates first. We generate a field-level diff comparing source values against Freshsales read-back to verify mapping accuracy. You review the sample in Freshsales before we commit the full run. Custom field values, stage names, owner assignments, and activity timestamps are verified at this stage. The sample also includes a cross-check of record counts per object and a validation of any pick-list values against Freshsales allowed values. Any mismatches trigger an adjustment to the mapping manifest before the full dataset moves.
Execute full migration with delta-pickup window
The full dataset migrates via Freshsales REST API. A delta-pickup window (24–48 hours) captures any records created or modified in Property Minder during the cutover period. Audit logs record every write operation. Workflow and automation rebuild references are delivered alongside the migration completion report. FlitStack monitors the Property Minder API for changes during the delta window and appends them to the migration queue. The audit log includes timestamps, user IDs, and field-level change summaries for each write. If any discrepancy exceeds a configurable threshold, the rollback mechanism reverts the Freshsales instance to its pre‑migration state without data loss.
Platform deep dives
Property Minder
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 Property Minder 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
Property Minder: Not publicly documented.
Data volume sensitivity
Property Minder 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 Property Minder to Freshsales migration scoping. Not seeing yours? Book a call.
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