CRM migration
Field-level mapping, validation, and rollback between Saleshiker and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Saleshiker
Source
Freshsales
Destination
Compatibility
8 of 10
objects map 1:1 between Saleshiker and Freshsales.
Complexity
BStandard
Timeline
1-3 weeks
Overview
Moving from Saleshiker to Freshsales is a transition from a WhatsApp-native SMB CRM to a full-featured sales platform with Freddy AI, built-in phone, email sequencing, and workflow automation. Saleshiker's core objects (Leads, Contacts, Organizations, Deals, Tasks, Events) map directly to Freshsales equivalents via CSV import or API, but WhatsApp broadcasts, Meta-governed template status, and internal workflow definitions are not portable because they depend on Saleshiker's proprietary engine and Meta's Business API. We document the active WhatsApp business phone numbers, template approval states, and workflow configurations during scoping so the customer understands what requires manual rebuild in Freshsales before migration begins. Engagement history (calls, emails, meetings) migrates to Freshsales Tasks and Events. Freshsales pricing starts at $9 per user per month on the Growth plan and includes a free tier for up to three users, which is a meaningful shift from Saleshiker's $15 per user per month base with Meta conversation charges applied on top.
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 Saleshiker 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.
Saleshiker
Lead
Freshsales
Lead
1:1Saleshiker Lead records map directly to Freshsales Lead. All standard fields (name, email, phone, status, source, owner) transfer via CSV import. Any Saleshiker lead score or lifecycle properties map to Freshsales custom fields that we create before import. Saleshiker lead status values are reconciled against Freshsales Lead Status picklist during import.
Saleshiker
Contact
Freshsales
Contact
1:1Saleshiker Contact records map to Freshsales Contact. The full name, email address, phone number, lifecycle stage, and owner fields migrate directly. Lifecycle stage values are preserved in a custom field sh_original_lifecycle__c for audit. Saleshiker's contact-to-organization association resolves to the corresponding Freshsales Account via domain-based deduping or name matching at import time.
Saleshiker
Organization
Freshsales
Account
1:1Saleshiker Organizations map to Freshsales Accounts. Organization name becomes the Account name, domain becomes the Website field, and industry and address fields map to their Freshsales equivalents. The contact-to-org linkage is preserved through a two-phase import: Accounts first, then Contacts with AccountId resolved against the created Account records.
Saleshiker
Deal
Freshsales
Deal
1:1Saleshiker Deals map to Freshsales Deals. Deal name, value, expected close date, owner, and pipeline stage migrate directly. Pipeline stages in Saleshiker are mapped to Freshsales Deal Stage values through a customer-confirmed mapping table during the scoping call. Closed-won and closed-lost outcomes are preserved with their original timestamps.
Saleshiker
Pipeline
Freshsales
Pipeline
lossySaleshiker pipeline structures (named stages with ordering and probabilities) map to Freshsales Pipeline configuration. We create the target pipeline in Freshsales with stages ordered to match Saleshiker's layout, including probability percentages per stage. Stage labels are adjusted to match Freshsales conventions where naming differs from Saleshiker.
Saleshiker
Quote
Freshsales
Quote
1:1Saleshiker Quote records (header and line items) map to Freshsales Quote objects. We split quote headers into Freshsales Quote records and line items into Quote Items linked via the QuoteId. Product references are resolved against the migrated Product catalog. Quote status values map to Freshsales Quote status enum.
Saleshiker
Product
Freshsales
Product
1:1Saleshiker Products (name, SKU, price, description) map to Freshsales Product records. SKU values become the product code in Freshsales and serve as the dedupe key for product import. Standard pricing information migrates to Freshsales product pricing fields.
Saleshiker
Task
Freshsales
Task
1:1Saleshiker Tasks migrate to Freshsales Tasks with title, due date, status, priority, and assignment preserved. Task owner references resolve to Freshsales Users via email matching during owner reconciliation. Related-to linkage (Deal, Contact, Organization) migrates as a custom relationship field or note in Freshsales.
Saleshiker
Event
Freshsales
Event
1:1Saleshiker Events migrate to Freshsales Events with title, start time, end time, type, and assignee preserved. Recurrence patterns from Saleshiker are noted in the event record; Freshsales supports recurrence patterns which we replicate where the schema is compatible.
Saleshiker
Attachment
Freshsales
Attachment
lossySaleshiker file attachments stored per record (Lead, Contact, Organization, Deal) are downloaded from Saleshiker's storage during export, then re-uploaded to Freshsales and linked to the corresponding record via the standard attachment object or file management system. File metadata (filename, size, upload date) is preserved. Any embedded image attachments in notes are handled as separate file uploads.
| Saleshiker | Freshsales | Compatibility | |
|---|---|---|---|
| Lead | Lead1:1 | Fully supported | |
| Contact | Contact1:1 | Fully supported | |
| Organization | Account1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline | Pipelinelossy | Fully supported | |
| Quote | Quote1:1 | Fully supported | |
| Product | Product1:1 | Fully supported | |
| Task | Task1:1 | Fully supported | |
| Event | Event1:1 | Fully supported | |
| Attachment | Attachmentlossy | 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.
Saleshiker gotchas
Meta conversation billing applies on top of subscription cost
WhatsApp template approval governed by Meta policy
Workflow and automation definitions are not portable
Limited API documentation with no publicly documented rate limits
Invoice and payment data may reference internal accounting state
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 data audit
We audit Saleshiker's full data inventory across Leads, Contacts, Organizations, Deals, Pipelines, Products, Quotes, Tasks, Events, and Attachments. We identify active WhatsApp business phone numbers, active broadcast campaigns, WhatsApp template approval states, and workflow definitions during this phase. We assess the number of records per object, the presence of custom fields, and the engagement history volume. The output is a written migration scope that lists all migratable objects, all non-migratable objects with explanation, and a recommended Freshsales edition based on the customer's object and user count.
Freshsales schema design
We configure the destination Freshsales account: creating custom fields on Lead, Contact, Account, and Deal to receive Saleshiker properties that have no direct equivalent, setting up Freshsales Pipelines and stage values that mirror the Saleshiker's pipeline structure, assigning page layouts per record type, and enabling custom modules if the customer requires them. Freshsales Sprout, Blossom, Garden, and Estate tiers each have different feature availability; we confirm the right tier during this step.
Sandbox test migration
We run a test migration into a Freshsales sandbox using a representative data sample to validate field mappings, verify record counts, and confirm that Freshsales validation rules and required field constraints are satisfied. Mapping corrections identified during sandbox testing are applied before production migration begins. The customer reviews sandbox results and approves the mapping table.
Owner reconciliation
We extract all distinct owners referenced on Saleshiker records (Leads, Contacts, Deals, Tasks, Events) and match by email against the Freshsales User table. Any Saleshiker owner without a matching Freshsales User goes to a reconciliation queue. The customer's Freshsales admin provisions the missing Users before the production migration phase begins. OwnerId references must be satisfied at import time for most standard objects.
Production migration in dependency order
We run production migration in dependency order: Accounts first (from Saleshiker Organizations), then Contacts (with AccountId resolved), then Leads, Deals (with stage mapping applied), Products, Quotes, Tasks, and Events. Attachments are downloaded from Saleshiker storage and re-uploaded to Freshsales. WhatsApp broadcasts and Meta-governed data are documented as a separate project outside the migration scope. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and workflow rebuild handoff
We freeze Saleshiker writes during cutover, run a final delta migration for records modified during the migration window, and enable Freshsales as the system of record. We deliver the workflow and scheduler inventory document with rebuild guidance for Freshsales Workflows to the customer's admin. We support a one-week hypercare window to resolve reconciliation issues. We do not rebuild Saleshiker Workflows as Freshsales Workflows inside the migration scope; that work is documented for the customer's admin to complete separately.
Platform deep dives
Saleshiker
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 Saleshiker 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
Saleshiker: Not publicly documented.
Data volume sensitivity
Saleshiker 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 Saleshiker to Freshsales migration scoping. Not seeing yours? Book a call.
Walk through your Saleshiker 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 Saleshiker
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.