CRM migration
Field-level mapping, validation, and rollback between AgentLocator and Zoho CRM. We move data and schema; workflows are rebuilt natively in Zoho CRM.
AgentLocator
Source
Zoho CRM
Destination
Compatibility
12 of 12
objects map 1:1 between AgentLocator and Zoho CRM.
Complexity
BStandard
Timeline
3–7 days
Overview
AgentLocator is a real estate-specific platform built on the Zendesk framework that excels at lead generation, IDX-connected website search, and forced registration capture. Its data model centers on Leads, Companies, Deals, and Activities (calls, emails, SMS), with a substantial set of custom fields tracking property-search preferences, listing interests, and agent-assignment history. Zoho CRM uses a standard SaaS CRM object model — Leads, Contacts, Accounts, Deals, Tasks, Events — with a Blueprint module for process automation and a layout designer called Canvas for record customization. The migration challenge is that AgentLocator exposes no documented public API for bulk record extraction, meaning data export typically requires CSV generation through the AgentLocator dashboard or a supported integration, and custom field definitions must be reverse-engineered from the Zendesk back-end. FlitStack AI sequences the migration as: (1) raw data extraction via AgentLocator CSV export, (2) custom field audit and Zoho custom field pre-creation, (3) sandbox test migration with field-level diff, (4) full migration with owner resolution by email match, (5) delta-pickup window capturing in-flight changes. Activity history — calls, emails, notes — migrates as Zoho Tasks and Events with original timestamps preserved. AgentLocator's real-estate-specific custom fields (Saved Search criteria, Property Interest type, Listing Source) map to Zoho custom fields created during the migration plan phase.
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 AgentLocator object lands in Zoho CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
AgentLocator
Lead (AgentLocator Contact)
Zoho CRM
Lead (Zoho CRM)
1:1AgentLocator stores all inbound prospects as Leads. These map directly to Zoho CRM Leads. We resolve the agent owner by email match against Zoho CRM Users and assign OwnerId accordingly. Unmatched owners are flagged before migration so the team can invite them to Zoho CRM first.
AgentLocator
Contact (AgentLocator registered user)
Zoho CRM
Contact (Zoho CRM)
1:1AgentLocator registered contacts (prospects who completed forced registration) map to Zoho CRM Contacts. We preserve original create dates as a custom datetime field since Zoho's CreatedTime is set at migration time. Phone, email, and address fields map directly. For any duplicate email addresses detected across contacts, we flag them for review to prevent overwriting existing Zoho records during migration.
AgentLocator
Company (AgentLocator brokerage or team)
Zoho CRM
Account (Zoho CRM)
1:1AgentLocator Company records represent brokerages, teams, or associated businesses. These map to Zoho CRM Accounts. Account Name and Website map directly. Industry field is value-mapped where AgentLocator uses real-estate-specific industry codes. We also capture the Company phone number and address details, migrating them to the Account module's standard Phone and Mailing Address fields for comprehensive contact information in Zoho CRM.
AgentLocator
Deal (AgentLocator transaction)
Zoho CRM
Deal (Zoho CRM)
1:1AgentLocator Deals represent real estate transactions. Zoho CRM Deals use a pipeline-and-stage model. We map each AgentLocator pipeline to a Zoho CRM pipeline; stage names are value-mapped to Zoho stage pick-list values. Amount and Closing Date map directly. Deal owners are resolved via email matching to Zoho Users, with unmatched owners flagged for pre-migration review. AgentLocator deal custom fields (e.g., property address) are migrated to Zoho custom fields.
AgentLocator
Task (AgentLocator call, email, SMS log)
Zoho CRM
Task / Event (Zoho CRM)
1:1AgentLocator call logs map to Zoho CRM Tasks with Subject populated from the call outcome and Call_Duration__c for duration. Email and SMS logs map to Zoho Tasks with Type='Email' or Type='Message'. Original timestamps and owner IDs are preserved. Call recordings are downloaded and re-uploaded to Zoho file storage, linked to the Task record. We deduplicate activities by comparing subject, timestamp, and owner.
AgentLocator
Note (AgentLocator note on contact)
Zoho CRM
Notes (Zoho CRM)
1:1AgentLocator notes on contacts and deals migrate to Zoho CRM Notes attached to the corresponding Contact or Deal record. We strip any HTML markup from note content and preserve the original created date and author information. Notes are linked to the parent record using Zoho's Notes module association, with the Note Title populated from the first line of the note body. Special characters and emoji are preserved during the migration.
AgentLocator
Saved Search (AgentLocator custom property)
Zoho CRM
Custom Field (Zoho CRM)
1:1AgentLocator Saved Search criteria — preferred location, price range, property type — are stored as custom contact/deal properties. Zoho CRM has no native equivalent. We create custom fields in Zoho (e.g., Saved_Search_Location__c, Saved_Search_Price_Range__c) before migration and map values directly. During migration, we validate that saved search values conform to Zoho field length limits. These custom fields enable your team to filter contacts by historical search preferences in Zoho reports.
AgentLocator
Property Interest (AgentLocator custom property)
Zoho CRM
Custom Field (Zoho CRM)
1:1AgentLocator's Property Interest type (e.g., Buy, Sell, Rent) is a pick-list property without a Zoho CRM native equivalent. We create a custom pick-list field (Property_Interest_Type__c) in Zoho CRM and map values one-to-one. If AgentLocator uses values Zoho cannot represent, we flag them for review before migration.
AgentLocator
Listing Source (AgentLocator custom property)
Zoho CRM
Lead Source (Zoho CRM)
1:1AgentLocator tracks how a lead was generated (Zillow, Realtor.com, Facebook Ad, Referral, etc.) as a custom property. We map these to Zoho CRM's built-in Lead Source pick-list where values overlap. Non-matching values are preserved in a custom field (Listing_Source_Detail__c) for reporting continuity.
AgentLocator
Drip Campaign Enrollment (AgentLocator custom property)
Zoho CRM
Custom Field (Zoho CRM)
1:1AgentLocator drip campaign enrollment status (Campaign Name + Enrollment Date) is stored as a custom contact property. Zoho CRM has no native drip-enrollment equivalent. We create a custom multi-line text field (Drip_Campaign_Enrollment__c) and migrate the campaign name and enrollment date as structured text.
AgentLocator
Attachment / File (AgentLocator document)
Zoho CRM
Attachments (Zoho CRM)
1:1AgentLocator file attachments on leads, contacts, and deals re-upload to Zoho CRM Attachments linked to the corresponding record. We re-upload files to Zoho's file storage and link by record ID. Zoho's 25 MB per-file limit applies; larger files are flagged before migration.
AgentLocator
Agent / Owner (AgentLocator user)
Zoho CRM
User (Zoho CRM)
1:1AgentLocator agent records map to Zoho CRM Users. Resolution happens by email address — we match AgentLocator owner email to Zoho CRM user email. Records without a matching Zoho user are assigned to a designated fallback owner and flagged for review. Zoho User IDs are required for Deal OwnerId assignments.
| AgentLocator | Zoho CRM | Compatibility | |
|---|---|---|---|
| Lead (AgentLocator Contact) | Lead (Zoho CRM)1:1 | Fully supported | |
| Contact (AgentLocator registered user) | Contact (Zoho CRM)1:1 | Fully supported | |
| Company (AgentLocator brokerage or team) | Account (Zoho CRM)1:1 | Fully supported | |
| Deal (AgentLocator transaction) | Deal (Zoho CRM)1:1 | Fully supported | |
| Task (AgentLocator call, email, SMS log) | Task / Event (Zoho CRM)1:1 | Fully supported | |
| Note (AgentLocator note on contact) | Notes (Zoho CRM)1:1 | Fully supported | |
| Saved Search (AgentLocator custom property) | Custom Field (Zoho CRM)1:1 | Fully supported | |
| Property Interest (AgentLocator custom property) | Custom Field (Zoho CRM)1:1 | Fully supported | |
| Listing Source (AgentLocator custom property) | Lead Source (Zoho CRM)1:1 | Fully supported | |
| Drip Campaign Enrollment (AgentLocator custom property) | Custom Field (Zoho CRM)1:1 | Fully supported | |
| Attachment / File (AgentLocator document) | Attachments (Zoho CRM)1:1 | Fully supported | |
| Agent / Owner (AgentLocator user) | User (Zoho CRM)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.
AgentLocator gotchas
Annual billing with no refund clause
No public API — migration requires CSV export
Drip campaign automation cannot be exported
Website and IDX/MLS feeds require separate migration
Saved searches are not portable
Zoho CRM gotchas
API access requires Professional tier or above
Subform fields do not export cleanly via CSV
API credit consumption is non-linear
Export download links expire in 7 days
Owner (User) assignments require pre-mapped user IDs
Pair-specific challenges
Migration approach
Extract AgentLocator data via CSV export and audit custom fields
FlitStack AI generates CSV exports from AgentLocator for all primary modules (Contacts, Companies, Deals, Activities). We run a pilot export to identify column-header issues, missing custom field exports, and note-attachment gaps. Any malformed CSV is flagged and a corrected export is requested from the AgentLocator dashboard. During this step we also capture custom field definitions — field names, data types, and pick-list values — so Zoho CRM custom fields can be pre-created before any data is loaded.
Create Zoho CRM custom fields and configure pipelines
Before migrating any records, we create all required custom fields in Zoho CRM using the Settings Fields API (v8). Saved Search fields, Property Interest type, Listing Source detail, Drip Campaign enrollment, and Original Create Date fields are created with matching data types. We also create Zoho CRM Pipelines to mirror AgentLocator deal pipelines, and configure stage pick-list values so that the value-mapping table is ready before the first record is loaded. This pre-creation step is critical — Zoho rejects imports referencing field API names that do not yet exist.
Resolve owners by email match against Zoho CRM users
AgentLocator owner email addresses are matched against Zoho CRM user email addresses. Records with a match are assigned to the corresponding Zoho User ID. Records with no match are assigned to a designated fallback owner and flagged in a pre-migration discrepancy report. This report is reviewed with your team before the migration run so you can decide whether to invite unmatched agents to Zoho CRM first or accept the fallback assignment. No record lands without an owner assignment.
Run sample migration with field-level diff for validation
A representative slice of 100–300 records — spanning contacts, companies, deals, and activities — migrates first. We generate a field-level diff comparing source values against destination field values so you can verify that AgentLocator stage names map correctly to Zoho Deal stages, that custom field values landed in the right Zoho custom fields, and that activity timestamps match the original AgentLocator create dates. Any mapping discrepancies are corrected before the full migration run commits.
Execute full migration with delta-pickup window and audit log
The full migration runs against Zoho CRM using the validated field-mapping table. A delta-pickup window of 24–48 hours runs concurrently, capturing any AgentLocator records modified or created during the migration cutover so that Zoho reflects AgentLocator's final state at go-live. Every operation is recorded in an audit log. One-click rollback is available if post-migration reconciliation finds unexpected gaps in record counts or relationship integrity.
Platform deep dives
AgentLocator
Source
Strengths
Weaknesses
Zoho CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 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 AgentLocator and Zoho CRM.
Object compatibility
1 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
AgentLocator: Not publicly documented.
Data volume sensitivity
AgentLocator 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 AgentLocator to Zoho CRM migration scoping. Not seeing yours? Book a call.
Walk through your AgentLocator to Zoho CRM migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave AgentLocator
Other ways to arrive at Zoho CRM
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.