CRM migration

Migrate from Zymplify to Freshsales

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

Zymplify logo

Zymplify

Source

Freshsales

Destination

Freshsales logo

Compatibility

38%

3 of 8

objects map 1:1 between Zymplify and Freshsales.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Zymplify to Freshsales is a platform-downgrade migration from an intent-first all-in-one GTM suite to a sales-focused CRM. Zymplify bundles prospecting, marketing, sales, and customer success hubs under one login; Freshsales is the CRM product in Freshworks' suite, handling Contacts, Accounts, and Deals with Freddy AI for lead scoring and built-in phone and chat. The structural gap is intent data: Zymplify's Bombora-powered intent scores, G2 Buyer Intent signals, and Research Quadrant stages have no native Freshsales equivalent. We extract these as custom fields on the Account record so enrichment provenance survives the migration. Sales Cadences and Marketing Workflows are Zymplify-native sequences with no direct Freshsales counterpart; we export cadence structure as a definition document and create Freshsales Sequences or Automations records where the tier supports it. The migration scope covers standard CRM objects (Contacts, Accounts, Deals, Tasks, Events, Notes) plus custom field carry-forward for all intent metadata and custom properties. Workflows, automations, and the CDP hub's data-cleansing provenance do not migrate as code; we deliver a written inventory for the customer's admin to rebuild post-migration.

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

Zymplify logo

Zymplify

What's pushing teams away

  • Pricing opacity drives churn — the public pricing page returns a 404, and five different directories list five different prices, making budget forecasting unreliable and renewal negotiations difficult.
  • The multi-week learning curve is a recurring complaint; the 7-day free trial is insufficient for meaningfully testing automation and intent features, leading to post-purchase frustration.
  • Vendor lock-in risk due to only four confirmed native integrations (Google Workspace, Typeform, G2 Buyer Intent, Al Manara) — migrating away from the all-in-one ecosystem is expensive and poorly documented.
  • Clunky interface and limited CRM depth push mid-size teams toward HubSpot or Salesforce when they need more sophisticated pipeline management and reporting.
  • Intent-first design means core CRM functions (deal management, territory assignment, complex workflows) are secondary to intent signal surfacing.

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 Zymplify objects map to Freshsales

Each row shows how a Zymplify 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.

Zymplify

Contacts

maps to

Freshsales

Contact

1:1
Mapping required

Zymplify Contact records include standard fields (name, email, phone, job title, company association) plus enrichment provenance from intent data sources. We map these to Freshsales Contact with typed fields preserved directly. Any intent signal metadata attached at the contact level (contact-level intent scores from Bombora) is carried as a custom Contact field for reference but does not activate any Freshsales automation. Enrichment source attribution migrates as a text field on the Contact record.

Zymplify

Companies

maps to

Freshsales

Account

1:1
Fully supported

Company records are Zymplify's primary anchor for intent data. All 20+ intent signals (Bombora intent spikes, G2 Buyer Intent, website visit intent) attach to the Company record. We map Zymplify Companies to Freshsales Accounts 1:1, with intent signal metadata carried as custom Account fields. Bombora intent scores, G2 intent signal sources, and intent spike timestamps are preserved as custom fields on the Account so enrichment provenance is available for manual prioritization even though Freshsales does not natively surface this data.

Zymplify

Deals / Pipeline Stages

maps to

Freshsales

Deal

1:1
Mapping required

Zymplify Deals map to Freshsales Deal with a 1:1 stage mapping. Zymplify's customisable pipeline stages are preserved as-is in Freshsales Deal Stage values. Deal value, expected close date, and owner assignment migrate directly. We recommend creating Freshsales Deal custom fields for Zymplify's Closed-Lost reason and Closed-Won reason if those custom properties exist in the source schema.

Zymplify

Sales Cadences

maps to

Freshsales

Sequence

lossy
Mapping required

Zymplify Sales Cadences are outreach sequences combining email steps, delays, and task actions. Freshsales Sequences (available at Growth and Pro tier) provide email sequence functionality but do not natively support the full cadence model with task integration that Zymplify uses. We export cadence structure as a sequence definition document listing every step, delay, condition, and action, then create equivalent Freshsales Sequences where the tier supports it. Any cadence step that references Zymplify-specific triggers (intent-based activation) is flagged for manual rebuild as a Freshsales Automation.

Zymplify

Marketing Workflows

maps to

Freshsales

Automation

lossy
Mapping required

Zymplify Marketing Workflows are automation builders with triggers, conditions, and actions across the Marketing Hub. Freshsales Automations (Pro and above) provide record-triggered and time-based automations but use a different trigger-action model. We do not migrate workflows as code. We document every active Zymplify workflow with its trigger type, conditions, action sequence, and intended outcome as a requirements specification, so the customer's admin can rebuild equivalents in Freshsales Automations. Any workflow that relies on Bombora or G2 intent data as a trigger is flagged as requiring a manual redesign.

Zymplify

Research Quadrant (Account Intelligence)

maps to

Freshsales

Account (custom field)

lossy
Fully supported

Zymplify's Research Quadrant segments accounts into four phases (Initial, Interested, Active, In-Depth) representing where each account is in the buying journey. Freshsales has no native equivalent. We create a Research_Quadrant__c picklist field on the Account object with the four Zymplify values and carry the current stage for each account. This field does not trigger any Freshsales automation natively; the customer's admin can use it for manual prioritisation or add it as a filter in Freshsales Views and Reports.

Zymplify

Customer Success Hub / Churn Forecast

maps to

Freshsales

Account (custom fields)

lossy
Mapping required

Zymplify's customer health scores and churn risk indicators are Zymplify-native calculations combining engagement, product usage, and support ticket signals. Freshsales does not have a dedicated CS module. We extract the raw health signals (engagement frequency, support interaction count, contract health indicators) as custom fields on the Account record and flag that the scoring model itself does not migrate. If the customer also uses Freshdesk, we can scope a parallel engagement to connect Freshdesk ticket data to the Account as an enrichment source for manual health assessment.

Zymplify

Custom Properties / Tags

maps to

Freshsales

Custom Fields

lossy
Mapping required

Zymplify custom fields exist across all object types but the export schema is not publicly documented. We discover the full custom field inventory during the discovery phase, including field types and picklist values, then create equivalent custom fields in Freshsales before migration. Tags applied to Contacts and Companies are exported as a comma-separated custom field on the respective object, with a recommendation to rebuild the tagging taxonomy using Freshsales Labels and Views rather than relying on a flat tag string for filtering.

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.

Zymplify logo

Zymplify gotchas

High

No public pricing page — actual costs vary by directory

High

Intent data and workflows are Zymplify-native with no direct export

Medium

7-day free trial is insufficient to evaluate the platform

Medium

Integration ecosystem is thin and poorly documented

Medium

Vendor lock-in compounds migration complexity

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

  • Intent signal data has no native Freshsales equivalent

    Zymplify's 20+ intent sources (Bombora intent spikes, G2 Buyer Intent signals, website visit intent, technographic data) attach to Company records and drive workflow activation. Freshsales has no native intent signal integration; Freddy AI provides contact and deal scoring but not buyer intent monitoring. We extract intent signal metadata as custom fields on the Account record, but these fields are passive references with no automation trigger. Any Zymplify workflow that activated outreach based on intent signal strength requires manual redesign in Freshsales Automations. Teams should validate whether intent data is operationally critical before committing to migration scope.

  • Research Quadrant account stages do not map to Freshsales lifecycle fields

    Zymplify's Research Quadrant (Initial, Interested, Active, In-Depth) segments accounts by buying journey stage and is used for GTM team prioritisation. Freshsales Lifecycle Stages (Lead, Customer, etc.) apply to Contacts not Accounts and track a different dimension (contact lifecycle rather than account buying stage). We carry Research Quadrant as a custom Account picklist field for manual use, but this does not integrate with Freshsales Automations, Freddy AI, or pipeline views. Teams that rely on Research Quadrant for territory or prioritisation decisions must plan for a manual process change post-migration.

  • Freshsales Growth tier omits automations and sequences

    Freshsales pricing is tier-gated more heavily than it appears at first glance. The Growth plan ($9/user/month) includes built-in phone and email tracking but does not include Freshsales Sequences (email sequences) or Freshsales Automations (workflow builder). Sequences and Automations require the Pro tier ($39/user/month) or Enterprise. Teams migrating from Zymplify with active Sales Cadences and Marketing Workflows must budget for the Pro tier or higher to rebuild equivalent functionality. We flag tier requirements during scoping and confirm the intended Freshsales tier before designing the automation migration scope.

  • Zymplify's API does not expose intent scores or workflow definitions

    Intent signal metadata, Research Quadrant stages, and Bombora intent spikes are Zymplify-native constructs stored in a non-standard schema. They are not exposed via a documented API endpoint for bulk export. We extract intent signal data where it appears as structured metadata on Company records, but the proprietary scoring model itself cannot be replicated. Workflow definitions (triggers, conditions, actions) are platform-internal and have no export format. We document workflow logic during the discovery phase by reviewing the workflow builder configuration with the customer's admin, not by API extraction.

  • Freshsales CSV import requires manual field mapping for custom fields

    Freshsales Data Import supports standard objects (Contacts, Accounts, Deals, Tasks) via CSV upload, but custom fields must be created in Freshsales before import and mapped manually during the import wizard. Unlike Salesforce's Bulk API, Freshsales CSV import does not support pre-defined custom field mapping templates and requires the admin to map each custom field individually per import run. We pre-create all custom fields in Freshsales during the schema design phase and provide a mapping reference sheet that documents each custom field's API name, type, and source field so the admin can replicate the mapping for any delta imports after the initial migration.

Migration approach

Six steps for a successful Zymplify to Freshsales data migration

  1. Discovery and data audit

    We audit the Zymplify account to inventory all object types, record counts, custom field inventory (including intent signal metadata fields and Research Quadrant stage fields), active Sales Cadences, and Marketing Workflows. We review the Freshsales destination account to confirm the target tier (Free, Growth, Pro, or Enterprise) and identify any custom fields that already exist in the destination. The discovery output is a written migration scope that lists every Zymplify object and custom property, confirms its destination equivalent (or flags it as requiring a custom field or workflow rebuild), and includes a Freshsales tier recommendation based on the automation scope the customer wants to preserve.

  2. Schema design and custom field provisioning

    We create all required custom fields in Freshsales before any data migration begins. This includes the Research_Quadrant__c picklist on Account, intent signal metadata fields (bombora_intent_score__c, g2_intent_signal__c, intent_spike_date__c, intent_source__c), health metric fields from the Customer Success Hub, and tag fields for Contact and Account. We use Freshsales Admin Settings to create fields with correct types (picklist, text, number, date) so that type mismatches do not block import. Custom fields are validated in a Freshsales sandbox or trial org before production deployment.

  3. Intent data extraction and transformation

    We extract Company records from Zymplify as the primary intent data carrier. For each Company, we extract the Research Quadrant stage, all active intent signals with their source (Bombora, G2, website visit, technographic), and the last signal date. This data is transformed into the custom Account fields created in the previous step. Bombora-specific scoring (a proprietary scale) is stored as a numeric field without transformation assumptions, as the scale is Zymplify-specific and may not be meaningful outside the source platform. We flag any intent signal that appears to be null or absent in the source to prevent false zero values from overwriting existing Freshsales data.

  4. Record migration in dependency order

    We migrate records into Freshsales in dependency order: Accounts (from Zymplify Companies, with intent metadata), Contacts (from Zymplify Contacts, with enrichment provenance fields), Deals (from Zymplify Deals with owner resolution via email match to Freshsales User), Tasks and Events (engagement history including calls, meetings, and logged tasks), and Notes. Each phase emits a row-count reconciliation report showing records migrated versus records skipped or rejected, with reasons. Custom fields are populated during the same phase as their parent record; we do not run separate custom field migration passes. User/owner resolution uses email matching to connect Zymplify Hub Owners to Freshsales Users.

  5. Cadence and workflow documentation for rebuild

    We document every active Zymplify Sales Cadence and Marketing Workflow in a requirements specification. Each cadence entry lists the sequence name, number of steps, step type (email, delay, task, condition), delay duration, and intended recipient filter. Each workflow entry lists the trigger (intent signal, contact field change, form submission), conditions, and action sequence. We recommend the Freshsales Automations or Sequences equivalent for each and flag any step that uses intent data as a trigger (which cannot be replicated without the intent signal source). The customer uses this document to rebuild in Freshsales; we do not build Freshsales Automations or Sequences as part of standard migration scope.

  6. Cutover and delta sync

    We freeze Zymplify record writes during the cutover window, run a final delta migration to capture any records created or modified during the migration process, and enable Freshsales as the system of record. We deliver a final reconciliation report showing record counts in both systems, a custom field carry-forward log documenting every intent metadata field and its value in Freshsales, and the cadence/workflow documentation package. We support a five-business-day hypercare window to resolve any record-level reconciliation issues raised by the customer's team after cutover.

Platform deep dives

Context on both ends of the pair

Zymplify logo

Zymplify

Source

Strengths

  • 20+ aggregated intent data sources including Bombora partnership provides genuine intent signal depth.
  • All-in-one GTM platform bundles prospecting, marketing, sales, and customer success under one login.
  • Intent signals integrated directly into workflow builder enable real-time lead routing.
  • Named customer support receives consistent praise in G2 reviews.
  • Pricing bundles intent data at a lower total cost than purchasing components separately.

Weaknesses

  • Only four confirmed native integrations limits ecosystem flexibility and creates lock-in risk.
  • No public pricing page creates opacity and complicates renewal and migration scoping.
  • Interface described as clunky with a multi-week learning curve.
  • CRM depth (deal management, territory, complex reporting) is secondary to intent surfacing.
  • Intent-first architecture means traditional CRM features lag behind HubSpot and Salesforce equivalents.
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 Zymplify 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

    Zymplify: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Zymplify 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 Zymplify to Freshsales data migrations

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

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Most migrations land between three and five weeks for accounts under 10,000 Contacts and 2,000 Deals with a standard custom field set and no complex automation documentation. Migrations with extensive custom fields (intent signal metadata, Research Quadrant stages, enrichment provenance fields), large engagement histories (over 100,000 activity records), or multiple active Sales Cadences and Marketing Workflows requiring detailed documentation for rebuild move to eight to twelve weeks because of the discovery complexity, custom field schema design, and cadence requirements specification work.

Adjacent paths

Related migrations to explore

Ready when you are

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