CRM migration
Field-level mapping, validation, and rollback between Clientify and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Clientify
Source
Freshsales
Destination
Compatibility
8 of 10
objects map 1:1 between Clientify and Freshsales.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Clientify and Freshsales both serve SMB sales teams, but they differ in data model scope, AI integration depth, and export transparency. Clientify stores WhatsApp conversation threads, automation workflows, and AI-generated lead scores as first-class objects tied to contacts, while Freshsales uses Freddy AI for native predictive scoring and stores its activity timeline in Tasks and Events. We migrate Contacts, Companies, Deals, Pipeline Stages, Activities, Leads, and email templates as 1:1 or configuration mappings. WhatsApp conversation threads migrate only where Clientify's API exposes them; we preserve available metadata and flag gaps. Custom properties on contacts and deals require pre-creation in Freshsales before import so that picklist values are whitelisted and required flags are set. Workflow automation rules built in Clientify's builder do not export in a portable format; we deliver a structured automation inventory worksheet and your admin rebuilds them in Freshsales' workflow module post-migration. Marketing campaign metrics migrate as data sets, but campaign logic and A/B test configurations do not.
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 Clientify 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.
Clientify
Contact
Freshsales
Contact
1:1Clientify Contacts map directly to Freshsales Contacts. Standard fields (name, email, phone, company association, lifecycle stage) migrate as-is. Custom properties on contacts require pre-creation in Freshsales Admin Settings with matching field types before import; picklist values must be whitelisted or import fails for those fields. We preserve any Clientify lead score value in a custom numeric field for reference.
Clientify
Company
Freshsales
Account
1:1Clientify Companies map to Freshsales Accounts using the company domain as a dedupe key. Industry, size, address, and ownership fields migrate directly. Freshsales uses Account as the parent of Contact; we ensure Account records are created before Contact import so that the relationship is satisfied at insert time.
Clientify
Deal
Freshsales
Deal
1:1Clientify Deals map to Freshsales Deals with deal name, value, stage, owner, and expected close date preserved. The pipeline stage labels migrate and are replicated in Freshsales' pipeline configuration. We resolve the owner reference by matching Clientify owner email to Freshsales User email at migration time.
Clientify
Pipeline Stage
Freshsales
Deal Stage
lossyEach Clientify pipeline becomes a Freshsales pipeline with its stage sequence preserved. Stage probability percentages migrate where available. Stage-level automation triggers (if any) are documented in the automation inventory and must be rebuilt manually in Freshsales' workflow builder.
Clientify
Lead
Freshsales
Lead
1:1Clientify Leads (distinct from Contacts) map to Freshsales Leads. Source, status, and score fields transfer to Freshsales Lead fields including any custom lead score fields. If the customer uses Lead-to-Contact conversion logic in Clientify, we document the conversion criteria for manual setup in Freshsales Admin Settings under Leads module field mapping.
Clientify
Activity (Call, Email, Meeting, Task)
Freshsales
Task and Event
1:1Clientify logged calls migrate as Task with TaskSubtype=Call. Emails migrate as Task records with body content. Meetings migrate as Event records with start/end time and location. Tasks migrate as Task records. Activity timestamps preserve the original Clientify date so that the Freshsales timeline reflects the correct sequence. Some timestamp formats and activity type labels require normalization during migration.
Clientify
Custom Property
Freshsales
Custom Field
lossyClientify custom fields on contacts, companies, and deals map to Freshsales custom fields of matching type. We map text, number, date, and picklist field types directly. Picklist values in the destination must be pre-created in Freshsales or import rejects those records. Required field flags must be set before migration begins. We coordinate with the customer during scoping to ensure the Freshsales schema is prepared.
Clientify
Marketing Campaign
Freshsales
Campaign (metrics only)
1:1Clientify campaign records including open rates, click rates, and send volumes migrate to Freshsales Campaign records with performance data in custom fields. The automation logic governing send times, A/B tests, and trigger conditions lives in Clientify's campaign builder and cannot be extracted. We migrate campaign performance history as a data set; campaign execution logic is documented for manual rebuild in Freshsales' marketing module or a dedicated marketing automation tool.
Clientify
Email Template
Freshsales
Email Template
1:1Clientify email templates with dynamic field placeholders export as template body text and structure. Merge field names may differ between platforms and require remapping in Freshsales' template editor. We export the template body and flag any dynamic fields that need updating to Freshsales syntax.
Clientify
Tag and Segment
Freshsales
Tag
1:1Clientify tags on contacts and companies migrate as Freshsales Tags. Segment definitions based on dynamic filters must be reviewed and manually rebuilt in Freshsales using Freshsales' filter and segment logic, which differs from Clientify's segmentation model.
| Clientify | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline Stage | Deal Stagelossy | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Activity (Call, Email, Meeting, Task) | Task and Event1:1 | Fully supported | |
| Custom Property | Custom Fieldlossy | Fully supported | |
| Marketing Campaign | Campaign (metrics only)1:1 | Fully supported | |
| Email Template | Email Template1:1 | Fully supported | |
| Tag and Segment | Tag1:1 | 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.
Clientify gotchas
Workflow automation logic does not export
WhatsApp conversation history depends on API exportability
Custom properties may have schema restrictions at destination
Marketing campaign metrics are exportable but campaign logic is not
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 scoping
We audit the Clientify account for record counts across Contacts, Companies, Deals, Leads, Activities, custom properties, and marketing campaigns. We check the API export scope for WhatsApp conversation data and document which automation rules are active. We review the Freshsales destination account tier (Sprout through Forest) to confirm which features are available for the migration target. The discovery output is a written migration scope, an automation inventory worksheet, and a pre-migration checklist for Freshsales schema preparation.
Freshsales schema preparation
We work with the customer's Freshsales admin to pre-create all custom fields matching the Clientify custom property names and types. Picklist values are whitelisted, required flags are set, and pipeline stages are configured to match Clientify's pipeline structure. If the customer uses Freshsales Leads, we configure the Lead custom field mapping under Admin Settings > Leads module so that any custom fields on Clientify Leads map to the correct Freshsales fields during conversion.
Data extraction and deduplication
We extract all records from Clientify via the available export mechanism (API or CSV). We run a deduplication pass using email as the primary key and phone number as a secondary key, flagging the number of duplicate contacts and leads found. We apply the agreed merge strategy (keep most recent or keep most complete) before any data is staged for import. We extract engagement history in timestamp order so that activity timelines can be reconstructed accurately in Freshsales.
Test migration to Freshmarks Sandbox or trial account
We run a test migration using a subset of records (typically 10-20% of total volume) into the customer's Freshsales trial or Sandbox environment. The customer's admin reviews record counts, spot-checks mapped fields, and confirms that custom property values landed correctly. We correct any mapping errors identified during test migration before the production run. Any picklist or required-field errors surface here and are resolved before the production migration.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from Clientify Companies), then Contacts (with AccountId resolved), then Leads, then Deals (with OwnerId and stage resolved), then Activity history (Tasks, Events, Notes via batch import), then Email Templates and Tags. Each phase emits a row-count reconciliation report. Whichever records were modified in Clientify during the migration window are captured in a delta pass before cutover. Automation rules are not migrated; we deliver the completed automation inventory worksheet to the customer's admin.
Cutover, validation, and automation handoff
We freeze writes to Clientify during the cutover window and run a final delta migration of any records modified during the production run. Freshsales becomes the system of record once the delta is confirmed. We deliver the automation inventory document and the campaign logic handoff notes. We provide a one-week hypercare window for reconciliation issues surfaced by the sales team. We do not rebuild Clientify automations in Freshsales as part of the migration scope; that work is handled by the customer's admin or a Freshsales implementation partner using the documentation we deliver.
Platform deep dives
Clientify
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 Clientify 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
Clientify: Not publicly documented.
Data volume sensitivity
Clientify 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 Clientify to Freshsales migration scoping. Not seeing yours? Book a call.
Walk through your Clientify to Freshsales migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave Clientify
Other ways to arrive at Freshsales
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.