CRM migration

Migrate from Saleshiker to Freshsales

Field-level mapping, validation, and rollback between Saleshiker and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.

Saleshiker logo

Saleshiker

Source

Freshsales

Destination

Freshsales logo

Compatibility

80%

8 of 10

objects map 1:1 between Saleshiker and Freshsales.

Complexity

BStandard

Timeline

1-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Saleshiker logo

Saleshiker

What's pushing teams away

  • Very limited public review presence makes it hard to assess real-world reliability, support responsiveness, and long-term viability before committing.
  • WhatsApp template approval by Meta can delay or block message campaigns if templates violate Meta's policies, with no recourse through Saleshiker.
  • Conversation-based billing from Meta adds unpredictable costs on top of the subscription price, which is not clearly disclosed on the pricing page.
  • Fewer integrations than established CRMs—WooCommerce, Google Sheets, Zapier, and Zoho only—limits connectivity to broader sales and marketing stacks.

Choosing

Freshsales logo

Freshsales

What's pulling them in

  • Lowest barrier to entry among major CRMs — the free tier supports up to 3 users and includes core CRM functionality before committing to per-seat pricing.
  • Built-in chat, email, and phone reduce reliance on third-party integrations for basic sales communication and contact management.
  • Freddy AI contact scoring and deal insights are included on Pro plans at a lower price than comparable HubSpot tiers.
  • Kanban pipeline views across Contacts, Accounts, and Deals provide visual deal management without requiring custom configuration.
  • Integration with the broader Freshworks ecosystem (Freshdesk, Freshchat, Freshservice) reduces tool sprawl for teams already using Freshworks.

Object mapping

How Saleshiker objects map to Freshsales

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

maps to

Freshsales

Lead

1:1
Fully supported

Saleshiker 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

maps to

Freshsales

Contact

1:1
Fully supported

Saleshiker 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

maps to

Freshsales

Account

1:1
Fully supported

Saleshiker 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

maps to

Freshsales

Deal

1:1
Fully supported

Saleshiker 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

maps to

Freshsales

Pipeline

lossy
Fully supported

Saleshiker 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

maps to

Freshsales

Quote

1:1
Fully supported

Saleshiker 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

maps to

Freshsales

Product

1:1
Fully supported

Saleshiker 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

maps to

Freshsales

Task

1:1
Fully supported

Saleshiker 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

maps to

Freshsales

Event

1:1
Fully supported

Saleshiker 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

maps to

Freshsales

Attachment

lossy
Fully supported

Saleshiker 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.

Gotchas + challenges

What specifically takes care here

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 logo

Saleshiker gotchas

High

Meta conversation billing applies on top of subscription cost

Medium

WhatsApp template approval governed by Meta policy

Medium

Workflow and automation definitions are not portable

Low

Limited API documentation with no publicly documented rate limits

Low

Invoice and payment data may reference internal accounting state

Freshsales logo

Freshsales gotchas

Medium

Freddy AI is Pro-tier only despite heavy marketing

High

Post-migration emails and sequences are disabled

Medium

Bot session credits are a one-time 500-session allocation

Medium

Phone credits charged per minute with no cap

Low

File storage limits scale with plan tier

Pair-specific challenges

  • WhatsApp broadcasts and message history do not transfer

    WhatsApp broadcasts, template approval states, and conversation history are governed by Meta's WhatsApp Business API and do not live in Saleshiker's exportable database. When records leave Saleshiker, the Meta-governed layer is severed. Any active or historical WhatsApp messaging campaigns, broadcast lists, chatbot configurations, and template approval eligibility are not included in the migration output. We document the active WhatsApp business phone numbers, approved templates, and active broadcast campaigns during scoping so the customer can plan a fresh WhatsApp Business setup in Freshsales or a separate Meta-connected tool post-migration.

  • Workflow definitions are not portable between platforms

    Saleshiker's Workflow engine and Scheduler configurations store trigger-action logic internally with no documented export format. Freshsales uses its own workflow automation model with different triggers, conditions, and actions. We do not migrate workflow definitions. We deliver a structured inventory of every active Saleshiker Workflow and Scheduler with its name, trigger type, conditions, and actions written out so the customer's admin can rebuild equivalent automations in Freshsales Workflows post-migration.

  • Meta conversation billing adds cost beyond subscription

    Saleshiker's pricing page discloses that Meta conversation charges apply on top of the per-user subscription. Meta bills by the conversation (inbound or outbound), not the message, and rates vary by country and message category. These charges are not visible in Saleshiker's UI and are governed by Meta directly. During the discovery call we scope active WhatsApp business phone numbers and recent conversation volume so the customer understands the full cost picture before committing to the migration and any new Freshsales WhatsApp integration.

  • Saleshiker API has no publicly documented rate limits

    Saleshiker's API documentation at apidoc.saleshiker.com supports standard CRUD operations on core objects but does not publish rate limits or bulk endpoint availability. We probe API responsiveness during the migration dry-run and throttle requests incrementally to establish safe throughput before running the full export. Any undocumented throttling discovered during dry-run is documented in the handoff report.

Migration approach

Six steps for a successful Saleshiker to Freshsales data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Saleshiker logo

Saleshiker

Source

Strengths

  • WhatsApp-native CRM with integrated Business API access
  • No-code chatbot builder for automated lead qualification
  • Shared team inbox for WhatsApp conversations
  • Bulk WhatsApp broadcast and drip marketing automation
  • Mobile app for iOS and iPad with real-time data access

Weaknesses

  • Minimal public review presence limits visibility into real customer experiences
  • Meta conversation charges create variable billing outside the stated subscription price
  • Limited integrations restrict connectivity to other business tools
  • Workflow definitions are not portable across CRM platforms
  • No Wikipedia article or independent analyst coverage to validate long-term roadmap
Freshsales logo

Freshsales

Destination

Strengths

  • Generous free tier for small teams with core CRM functionality without per-seat costs.
  • All-in-one sales CRM with built-in telephony, chat, and email reducing third-party tool dependency.
  • Freddy AI contact scoring and deal predictions available on Pro tier.
  • Multiple pipeline views with Kanban and list options across all plans.

Weaknesses

  • Reports lack depth compared to competitors like HubSpot, with limited customization options.
  • Integration setup is poorly documented with no clear guides for connecting third-party tools.
  • AI features gated behind $39/user/month Pro tier despite marketing emphasis on Freddy AI.
  • Bot sessions limited to 500 one-time allocation with no monthly refresh.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Saleshiker and Freshsales.

  • Object compatibility

    B

    3 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Saleshiker: Not publicly documented.

  • Data volume sensitivity

    B

    Saleshiker doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Saleshiker to Freshsales migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Saleshiker to Freshsales data migrations

Answers to the questions buyers ask most during Saleshiker to Freshsales migration scoping. Not seeing yours? Book a call.

Can't find your answer?

Walk through your Saleshiker to Freshsales migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Standard migrations under 5,000 CRM records (Leads, Contacts, Deals, Tasks) with no custom objects complete in one to three weeks. Migrations with custom objects, multi-pipeline Deal structures, large engagement histories (over 100,000 activity records), or full Sandbox testing move to three to six weeks because of schema configuration scope and the workflow inventory delivery.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Saleshiker.
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