CRM migration
Field-level mapping, validation, and rollback between Sharpspring and Zoho CRM. We move data and schema; workflows are rebuilt natively in Zoho CRM.
Sharpspring
Source
Zoho CRM
Destination
Compatibility
13 of 14
objects map 1:1 between Sharpspring and Zoho CRM.
Complexity
BStandard
Timeline
48–72 hours
Overview
SharpSpring's data model treats Contacts, Companies, and Deals as a unified marketing-plus-sales graph, with lifecycle stages, behavioral scoring, and VisitorID tracking embedded in every record. Zoho CRM separates Leads and Contacts into distinct modules, uses Accounts for companies, and stores deal data in a Deals module with stage pick-lists scoped to individual pipelines. The migration must translate SharpSpring's flat contact properties — including the behavioral scoring model and VisitorID data — into Zoho CRM's module hierarchy and custom field architecture. FlitStack AI extracts SharpSpring records via the platform's REST API, maps them to Zoho CRM modules (Leads, Contacts, Accounts, Deals, Tasks, Events), and writes via Zoho's Bulk Write API within the destination account's API credit limits. We preserve original create timestamps, last-modified dates, and owner email addresses matched against Zoho users. SharpSpring workflows, email sequences, automation rules, and form configurations do not migrate — these require Zoho Blueprint and workflow reconstruction, which we document as a separate rebuild plan delivered alongside the data migration.
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 Sharpspring 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.
Sharpspring
Contact
Zoho CRM
Contact / Lead
1:manySharpSpring contacts with lifecycle_stage = 'customer' or 'opportunity' route to Zoho CRM Contacts. All other lifecycle stages (subscriber, lead, MQL, SQL) route to Zoho CRM Leads. The routing decision is made at migration time based on the final lifecycle_stage value on each SharpSpring record. We preserve the original SharpSpring lifecycle stage value in a custom field (Lifecycle_Stage__c) on both the Zoho Lead and Contact record so no stage history is lost.
Sharpspring
Company
Zoho CRM
Account
1:1SharpSpring Companies map directly to Zoho CRM Accounts. The company name becomes Account Name, domain becomes Website, industry maps via value mapping against Zoho's industry pick-list, and annual revenue maps to Annual Revenue. SharpSpring parent-company hierarchies map to the Zoho Account ParentId field — the parent Account must be migrated first and we flag circular references before the run.
Sharpspring
Contact-Company Association
Zoho CRM
Account Contact Relation
1:1SharpSpring supports N:N contact-to-company associations natively. Zoho CRM contacts have one primary Account lookup plus Account Contact Relations for secondary associations. We migrate the primary company (most recently modified in SharpSpring by default, or your specified rule) as the Contact.Account lookup and surface remaining associations as Zoho Account Contact Relations.
Sharpspring
Deal
Zoho CRM
Deal
1:1SharpSpring Deals map to Zoho CRM Deals with deal name → Deal Name, amount → Amount, close date → Close Date, and owner → Deal Owner resolved by email match. Pipeline stages map value-by-value to Zoho stage pick-list values for each deal's pipeline. The deal's primary company becomes the Account lookup in Zoho — the Account must exist first in the migration sequence.
Sharpspring
Pipeline
Zoho CRM
Deal Pipeline
1:1Each SharpSpring deal pipeline maps to one Zoho CRM Deal Pipeline. Zoho allows multiple pipelines with their own stage configurations. We create Zoho pipelines matching SharpSpring pipeline names and configure each stage's probability and forecast category to match SharpSpring's stage settings. Stage order is preserved from the source pipeline configuration.
Sharpspring
Lifecycle Stage
Zoho CRM
Custom Field: Lifecycle_Stage__c
1:1Zoho CRM has no native lifecycle stage equivalent. SharpSpring lifecycle_stage values (subscriber, lead, MQL, SQL, customer, evangelist) are preserved as a custom pick-list field (Lifecycle_Stage__c) on both Lead and Contact modules. The pick-list values are created to match SharpSpring's exact values. Stage-changed timestamps are stored in a companion custom datetime field.
Sharpspring
Lead Score / Behavioral Score
Zoho CRM
Custom Field: Lead_Score__c
1:1SharpSpring lead scoring values (numeric engagement scores) migrate to a custom Number field (Lead_Score__c) on Zoho Contacts and Leads. If SharpSpring uses fit-score and engagement-score separately, both are stored as custom fields in Zoho. We do not migrate the scoring model logic itself — that requires Zoho workflow reconstruction.
Sharpspring
VisitorID / Page Tracking Data
Zoho CRM
Custom Field: Visitor_Tracking_Data__c
1:1SharpSpring VisitorID tracking stores page visits, referrer data, and anonymous visitor profiles on contact records. This data migrates as a multi-line text custom field (Visitor_Tracking_Data__c) on Zoho Contacts. We preserve the raw tracking data as a JSON string so it is readable in Zoho but not natively processed by Zoho analytics.
Sharpspring
Task (Call / Email / Note)
Zoho CRM
Task
1:1SharpSpring logged calls, emails, and notes map to Zoho CRM Tasks. Task Subject carries the activity type, Description carries the body content, and the original timestamp is preserved. Task status is set to Completed on migration. The related Contact or Lead lookup is resolved by matching the SharpSpring contact ID to the migrated Zoho record ID stored in our source-system ID field.
Sharpspring
Meeting / Calendar Event
Zoho CRM
Event
1:1SharpSpring scheduled meetings map to Zoho CRM Events with Subject, Start DateTime, End DateTime, and location preserved. The invitee list (contact names) migrates as Event attendees. Original create date is stored as a custom datetime field since Zoho Events use the record creation date as the audit timestamp.
Sharpspring
Attachment / File
Zoho CRM
Attachments (via Zoho Files)
1:1SharpSpring file attachments on contacts, companies, and deals are downloaded and re-uploaded to Zoho CRM's attachment storage. Zoho's per-file size limit is 10 MB for files attached via the API; larger files are flagged for manual re-upload. We preserve the original file name and attach each file to the corresponding Zoho record using the record ID resolved from our migration mapping table.
Sharpspring
Form Submission
Zoho CRM
Custom Field: Form_Submission_Source__c
1:1SharpSpring form submissions are recorded as engagement events with form name and submission timestamp. This contextual data migrates as a custom text field (Form_Submission_Source__c) on the Zoho Contact record, storing the form name and date as a concatenated value. The full submission data (field-level form answers) is preserved as a JSON blob in a notes attachment.
Sharpspring
Campaign / Email Campaign
Zoho CRM
Custom Module: Campaign History
1:1SharpSpring email campaign membership and send/open/click data has no direct Zoho CRM equivalent. We create a custom module (Campaign_History__c) that stores campaign name, send date, open count, click count, and contact ID as a lookup. This preserves campaign attribution data for reporting even though the campaign itself (and its automation triggers) cannot migrate.
Sharpspring
SharpSpring User / Owner
Zoho CRM
Zoho CRM User
1:1SharpSpring owner assignments on contacts, companies, and deals are resolved by matching the owner's email address against Zoho CRM users. Unmatched owners are flagged before migration with a pre-flight report. You can invite unmatched users to Zoho CRM before the run, or assign their records to a fallback owner — no record lands without a Zoho owner assigned.
| Sharpspring | Zoho CRM | Compatibility | |
|---|---|---|---|
| Contact | Contact / Lead1:many | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Contact-Company Association | Account Contact Relation1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline | Deal Pipeline1:1 | Fully supported | |
| Lifecycle Stage | Custom Field: Lifecycle_Stage__c1:1 | Fully supported | |
| Lead Score / Behavioral Score | Custom Field: Lead_Score__c1:1 | Fully supported | |
| VisitorID / Page Tracking Data | Custom Field: Visitor_Tracking_Data__c1:1 | Fully supported | |
| Task (Call / Email / Note) | Task1:1 | Fully supported | |
| Meeting / Calendar Event | Event1:1 | Fully supported | |
| Attachment / File | Attachments (via Zoho Files)1:1 | Fully supported | |
| Form Submission | Custom Field: Form_Submission_Source__c1:1 | Fully supported | |
| Campaign / Email Campaign | Custom Module: Campaign History1:1 | Fully supported | |
| SharpSpring User / Owner | Zoho CRM 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.
Sharpspring gotchas
Visual Workflows cannot be exported
VisitorID tracking data is platform-locked
Landing pages lack any export mechanism
Custom fields must be pre-created in the destination
Dynamic list logic does not carry over
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
Pre-flight audit and Zoho schema setup
FlitStack AI audits your SharpSpring account to inventory all contacts, companies, deals, custom fields, pipelines, and activity types. We compare this against your Zoho CRM account's existing modules and field configurations. If Zoho does not yet have the required pipelines, custom fields, or custom pick-list values, we deliver a schema setup plan — create these in Zoho before data lands. We also run an owner resolution check, matching SharpSpring user emails against Zoho CRM users to flag any accounts that need to be invited to Zoho before the migration. This step typically takes 1–2 days.
Export SharpSpring data via API
We extract all SharpSpring records using the platform's REST API: contacts with all properties including lifecycle_stage and behavioral data, companies with hierarchy information, deals with pipeline and stage values, and activity logs (tasks, events, notes). The export runs in read-only mode — your team continues working in SharpSpring uninterrupted. We preserve original create dates, last-modified timestamps, owner assignments, and all custom field values. For records with attachments, we download files concurrently and store them in a temporary migration bucket with filenames keyed to the source record ID.
Data transformation and field mapping validation
All extracted records are transformed according to the field mapping schema: lifecycle stages route to the correct Zoho Lead or Contact module, pipeline stages map to Zoho stage pick-list values, company associations collapse to primary Account with secondary relations, and owner emails resolve to Zoho user IDs. We run a field-level validation pass checking data types, required field presence, and pick-list value coverage before writing to Zoho. Any records with unmapped field values or missing required Zoho fields are flagged in a pre-migration exception report so you can decide how to handle them.
Sample migration with field-level diff
A representative slice — typically 200–500 records spanning contacts, accounts, deals, and activities — migrates first into your Zoho CRM sandbox or a designated test environment. We generate a field-level diff report comparing source values against destination values for every mapped field, so you can verify lifecycle stage routing, pipeline mapping, owner resolution, and custom field population before committing to the full run. You review the diff and approve or request adjustments to the mapping schema. This step is included in every migration at no additional cost.
Full migration with delta-pickup window
After sample approval, the full migration runs via Zoho's Bulk Write API within your account's API credit limits. A delta-pickup window (typically 24–48 hours) captures any records created or modified in SharpSpring during the cutover period. All operations are logged in an audit table. FlitStack AI monitors Zoho API credit consumption throughout and pauses or throttles if the X-API-CREDITS-REMAINING header indicates you are approaching 50% of your daily limit. After the migration completes, we run a reconciliation report comparing record counts, field-population rates, and relationship integrity between SharpSpring and Zoho. One-click rollback is available if reconciliation reveals critical data issues.
Post-migration handoff and rebuild reference
We deliver the migration audit log, reconciliation report, and a SharpSpring workflow export document listing every workflow name, trigger condition, action sequence, and branching logic from your SharpSpring account. This document serves as the rebuild specification for your Zoho admin or implementation partner to reconstruct automation in Zoho Blueprint and Workflow Rules. We also provide a Zoho Blueprint setup guide referencing the SharpSpring workflow structure so the rebuild maps logically. We remain available for a 30-day post-migration support window to address any record-level issues discovered after go-live.
Platform deep dives
Sharpspring
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 Sharpspring 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
Sharpspring: Not publicly documented; specific quota limits are not published on SharpSpring's developer documentation.
Data volume sensitivity
Sharpspring 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
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