CRM migration
Field-level mapping, validation, and rollback between Cronberry and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Cronberry
Source
Freshsales
Destination
Compatibility
6 of 9
objects map 1:1 between Cronberry and Freshsales.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Cronberry and Freshsales occupy different positions in the CRM landscape: Cronberry is a multichannel marketing automation platform for small Indian teams running email, SMS, push, and WhatsApp campaigns, while Freshsales is a full-stack sales CRM with built-in phone, AI-powered lead scoring, and a visual pipeline from Freshworks. The migration is primarily a data extraction and schema remapping exercise because Cronberry does not publish a public REST API. We request structured CSV or JSON exports of Contacts, Campaigns, Segments, Templates, and event logs through Cronberry's internal export utilities, then transform and load them into Freshsales using Freshsales' REST API with batch chunking. Contacts require deduplication before import because Cronberry's repeat-contact detection is flagged as unreliable by reviewers. Smart Segments are reconstructed in Freshsales' native segmentation builder based on reverse-engineered membership conditions. Workflows, landing pages, and automations built in Cronberry do not migrate as code; we deliver a written inventory for manual rebuild.
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 Cronberry 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.
Cronberry
Contact
Freshsales
Lead and Contact (split required)
1:manyCronberry Contacts migrate to Freshsales Leads by default, with a manual split decision during scoping: Contacts with purchase history or active campaign participation may be migrated directly as Freshsales Contacts attached to Accounts. Email, phone, name, custom field values, segment memberships, and tags all map to Freshsales Contact or Lead fields. Cronberry's tag associations migrate to Freshsales contact tags or custom multi-select fields depending on the customer's tag strategy. We flag probable duplicates by matching on email and phone and present a deduplication report before importing, since Cronberry's repeat-contact detection is unreliable.
Cronberry
Company/Account
Freshsales
Account
1:1Cronberry Company records map to Freshsales Account. Field-level mapping is required because Cronberry's company schema varies by implementation and may include custom properties that need custom fields created in Freshsales before import. Company domain from Cronberry maps to the Account Website field as a dedupe key. We create the Account record first so that Contact imports can satisfy the AccountId lookup immediately.
Cronberry
Campaign
Freshsales
Campaign
1:1Cronberry Campaigns carry channel information (Email, SMS, Push, WhatsApp), timing rules, and target segment assignments. We extract these and map them to Freshsales Campaign records, preserving campaign status, start and end dates, budget, and the target segment name. Cronberry campaign channel type maps to a Freshsales custom field because Freshsales Campaign does not natively store the channel variant. Campaign content and templates migrate separately as Message Templates.
Cronberry
Smart Segment
Freshsales
Segmentation Rule
lossyCronberry Smart Segments are defined by conditional rules against contact field values but these rules cannot be exported as a reusable schema. We reverse-engineer segment membership by querying which contacts belong to each segment, then document the conditions implied by the contact data. The customer rebuilds these conditions in Freshsales Segmentation using the documented field-value rules. We do not automate the segment rebuild because Freshsales Segmentation rules use a different syntax and operator model than Cronberry's rule builder.
Cronberry
Tag
Freshsales
Tag or Custom Field
lossyCronberry tags attached to Contacts migrate to Freshsales Tags (a native tagging feature) or to a custom multi-select picklist field depending on how many distinct tag values exist. Tags used for lead classification migrate as tag strings; tags used for behavioral classification migrate to a dedicated custom field. We advise during scoping on which strategy preserves more reporting value.
Cronberry
Channel (Email, SMS, Push, WhatsApp)
Freshsales
Contact Activity / Custom Field
1:1Cronberry's channel configuration (credentials, sender IDs, WhatsApp Business Account associations) must be reconfigured in Freshsales or a connected communication tool because API keys and sender profiles cannot be exported. We migrate the channel association to contacts by setting a custom channel_preference field indicating which channels a contact has opted into, but the actual channel delivery credentials require manual reconfiguration in Freshsales Telephony or a third-party integration.
Cronberry
Message Template (Email, SMS, Push)
Freshsales
Email Template and Sales Template
1:1Cronberry message templates with personalization variables are extractable and migrate to Freshsales Email Templates and Sales Templates. Template subject line, body content, and personalization placeholders map to Freshsales template fields. Rich HTML formatting from Cronberry email templates may require reformatting because Freshsales template rendering handles HTML differently. SMS and push templates migrate with text content preserved; media and rich push content may not carry over.
Cronberry
User/Agent
Freshsales
User
1:1Cronberry User and agent records map to Freshsales User records. We resolve users by email match. Role and permission structures differ significantly between platforms, so we migrate basic user identity (name, email, active status) and defer permission and team configuration to the customer's Freshsales admin. Any Cronberry user without a matching Freshsales User goes to a reconciliation queue for manual provisioning before record import begins.
Cronberry
Event Log / Behavioral Tracking
Freshsales
Activity (Task, Appointment)
1:1Cronberry behavioral event logs (opens, clicks, push interactions, campaign engagement events) migrate to Freshsales Activity records (Tasks and Appointments) linked to the parent Contact or Account. Event schema mapping is required because Cronberry behavioral event types may not map directly to Freshsales Activity types. We use the event timestamp as the Activity Date to preserve engagement ordering. High-volume event logs (hundreds of thousands of records) require batched API insertion with exponential backoff.
| Cronberry | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Lead and Contact (split required)1:many | Fully supported | |
| Company/Account | Account1:1 | Fully supported | |
| Campaign | Campaign1:1 | Fully supported | |
| Smart Segment | Segmentation Rulelossy | Fully supported | |
| Tag | Tag or Custom Fieldlossy | Fully supported | |
| Channel (Email, SMS, Push, WhatsApp) | Contact Activity / Custom Field1:1 | Fully supported | |
| Message Template (Email, SMS, Push) | Email Template and Sales Template1:1 | Fully supported | |
| User/Agent | User1:1 | Fully supported | |
| Event Log / Behavioral Tracking | Activity (Task, Appointment)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.
Cronberry gotchas
No documented public API for bulk export
UI overhaul shipped without training or documentation
Smart Segment logic cannot be exported directly
Repeat-contact detection produces duplicate records
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 export coordination
We audit Cronberry's data landscape: contact volume, campaign count, segment count, custom fields, template library, event log volume, and user count. Because Cronberry lacks a public API, we simultaneously coordinate with Cronberry's support team to request structured exports (CSV or JSON) of all migratable objects. We also obtain screenshots or documentation of active workflows and Smart Segment definitions for the rebuild inventory. The discovery output is a written migration scope, an export delivery checklist, and a Freshsales plan recommendation based on record volume and feature needs.
Deduplication and data cleansing
We run deduplication against the Cronberry export files before any transformation. Using name, email, and phone as matching keys, we identify probable duplicate contact records and generate a deduplication report grouped by the physical contact. The customer reviews the report and decides which records to merge or retain. We also standardize field formats (phone number formatting, email case normalization) to match Freshsales' expected input. Data cleansing is a prerequisite for migration and runs in parallel with Freshsales schema setup.
Freshsales schema configuration
We create the Freshsales destination schema in the customer's Freshsales account: custom fields on Contact, Lead, Account, and Deal to capture Cronberry data that does not map directly to a standard field; segmentation rules documented from Cronberry Smart Segments for manual rebuild; user provisioning for each Cronberry owner; and any required Freshsales plan upgrades to support custom fields or advanced pipeline features. We configure duplicate detection rules and field-level validation before any data is imported.
Sandbox migration and reconciliation
We run a full migration into a Freshsales Sandbox using production-like data volume. The customer's team reconciles record counts, spot-checks 25-50 records against the Cronberry source data, and validates that custom fields populated correctly. Any field mapping corrections, segment rule adjustments, or deduplication changes happen in this phase. We do not proceed to production migration until the customer signs off on the sandbox results.
Production migration in dependency order
We run production migration in record-dependency order: Users (validated against Freshsales User table), Accounts (from Cronberry Companies), Contacts (with AccountId resolved and duplicate-free), Deals (if Cronberry data includes deal or opportunity records), Campaigns, Templates, and Activity history (event logs mapped to Freshsales Tasks and Appointments via batched API insertion). Each phase emits a row-count reconciliation report before the next phase begins. We use Freshsales' REST API with batch chunking and exponential backoff for high-volume activity records.
Cutover, validation, and workflow handoff
We freeze Cronberry 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 workflow and Smart Segment rebuild inventory to the customer's Freshsales admin with step-by-step instructions for recreating each automation in Freshsales Workflows. We support a one-week hypercare window for reconciliation issues. We do not rebuild Cronberry workflows as Freshsales automations inside the migration scope.
Platform deep dives
Cronberry
Source
Strengths
Weaknesses
Freshsales
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 Cronberry and Freshsales.
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
Cronberry: Not publicly documented..
Data volume sensitivity
Cronberry 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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