CRM migration

Migrate from Realvolve to Freshsales

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

Realvolve logo

Realvolve

Source

Freshsales

Destination

Freshsales logo

Compatibility

93%

14 of 15

objects map 1:1 between Realvolve and Freshsales.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Realvolve organizes real estate data around People, Properties, and Transactions — workflows tied to listing status, contract milestones, and closing dates. Freshsales uses a standard Lead → Contact → Account → Deal model with lifecycle stages and sales pipelines. The migration maps Realvolve contacts and people to Freshsales Contacts (or Leads), Realvolve deals and transactions to Freshsales Deals, and Realvolve properties to Freshsales custom fields or Products. We extract data via Realvolve's API using scoped read access and load into Freshsales via the Freshsales CRM API, respecting per-hour rate limits per plan tier (1,000/hour Growth, 2,000/hour Pro, 5,000/hour Enterprise). During extraction, original creation timestamps and owner assignments are preserved and written into custom fields or mapped directly, ensuring reporting continuity across platforms. The mapping layer also handles value translations for status fields and assigns default pipeline owners. Any missing required fields on Freshsales are flagged in a pre-flight report so your admin can create them before the load. Because Realvolve's object model is tailored for real estate workflows, certain multi-value properties are flattened into JSON strings or separate custom objects to maintain context. Realvolve's workflow packages, automation rules, and transaction-stage triggers do not migrate — we export workflow definitions as JSON so your Freshsales admin can rebuild them in Freshsales workflows. Custom fields and merge-field templates require manual recreation. The delta-pickup window (24–48 hours) captures any records modified during cutover.

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

Realvolve logo

Realvolve

What's pushing teams away

  • Steep learning curve cited in competitor comparisons; some agents report the platform requires more upfront training investment than alternatives like Follow Up Boss or Shaker.
  • Cannot add custom merge fields in all markets, limiting personalization for agents who use region-specific terminology.
  • Function reliability issues cause some users to lose confidence in the automation; one reviewer described being 'disappointed' after money and time investment.
  • Pricing at $59+/month plus per-feature workflow packages can exceed budget for solo agents who only need basic contact management.

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 Realvolve objects map to Freshsales

Each row shows how a Realvolve 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.

Realvolve

Person / Contact

maps to

Freshsales

Contact

1:1
Fully supported

Realvolve person records map 1:1 to Freshsales Contacts. Name, email, phone, address, social handles, and custom properties migrate directly. Person type (Buyer, Seller, Agent, Vendor) is preserved as a custom pick-list field since Freshsales has no native person-type label. All standard address components are merged into Freshsales address fields; social URLs are stored as custom text fields if needed. The original Realvolve ID is retained for reference.

Realvolve

Person (unconverted lead)

maps to

Freshsales

Lead

1:many
Fully supported

Realvolve people records flagged as 'Prospect' or without a closed transaction map to Freshsales Leads. Any person that already has a closed transaction record maps to a Freshsales Contact. The split is based on whether a Realvolve Transaction record exists with stage = Closed/Won or Closed/Lost.

Realvolve

Company / Brokerage

maps to

Freshsales

Account

1:1
Fully supported

Realvolve company records (brokerages, team offices) map to Freshsales Accounts. Account name, website, industry, and employee count fields map directly. Multi-office brokerages may require splitting into multiple Account records if Realvolve stores each office as a separate company record. If a brokerage is represented as a single company with multiple locations in Realvolve, we recommend creating a parent Account and linking each location as a child Account to preserve hierarchy in Freshsales.

Realvolve

Property / Listing

maps to

Freshsales

Custom Field on Deal + Product

1:1
Fully supported

Realvolve Property records do not have a direct Freshsales equivalent — property address, MLS number, listing price, and status migrate as custom fields on the associated Freshsales Deal. Listings used across multiple deals may alternatively map to Freshsales Products for price-book alignment.

Realvolve

Transaction

maps to

Freshsales

Deal

1:1
Fully supported

Realvolve Transaction records map to Freshsales Deals. Transaction stage (Active, Under Contract, Closed, Cancelled) maps to Freshsales Deal stage names. Transaction value, close date, and commission fields migrate to Deal amount, close date, and custom currency fields respectively. Any ancillary data such as escrow instructions or referral source is stored as additional custom fields on the Deal to preserve context beyond the standard pipeline fields.

Realvolve

Deal / Transaction Pipeline

maps to

Freshsales

Deal Pipeline

1:1
Fully supported

Realvolve transaction pipelines (Active, Under Contract, Closed) map to Freshsales Deal pipelines. Each pipeline is created as a separate Freshsales pipeline with its own Kanban stages. Stage-order and probability defaults are configurable per pipeline. During migration, we match each Realvolve pipeline name to a newly created Freshsales pipeline, copying stage labels and order; probability percentages can be imported from Realvolve or set to defaults based on deal stage.

Realvolve

Activity / Task

maps to

Freshsales

Task

1:1
Fully supported

Realvolve task records map to Freshsales Tasks. Task subject, due date, assigned user, status, and description fields migrate directly. Tasks linked to Realvolve People or Transactions retain their parent record linkage in Freshsales via the related_to lookup. If a task references a Realvolve person or transaction that hasn't yet been created in Freshsales, we queue the task and resolve the link after the parent record is imported, preserving the relationship.

Realvolve

Calendar / Event

maps to

Freshsales

Event

1:1
Fully supported

Realvolve calendar events (showings, closings, inspections) map to Freshsales Events with original start/end timestamps, location, and invitee list preserved. Events linked to Realvolve People or Transactions carry the corresponding Freshsales Contact or Deal lookup. All event details, including description, attendee responses, and reminders, are transferred as part of the event record to ensure no appointment history is lost during the transition.

Realvolve

Document / File

maps to

Freshsales

File

1:1
Fully supported

Realvolve files attached to people, properties, or transactions re-upload to Freshsales as Files attached to the corresponding Contact, Deal, or Account record. File size limits (25MB per Freshsales file) are enforced; files exceeding the limit are flagged for manual retrieval.

Realvolve

Note

maps to

Freshsales

Note

1:1
Fully supported

Realvolve notes migrate to Freshsales Notes. Rich-text formatting is preserved where possible. Notes are attached to the parent Contact, Account, or Deal record based on the Realvolve note's association context. If a note references an object that hasn't yet been created in Freshsales, we store the note temporarily and attach it after the parent record is available, maintaining the original context.

Realvolve

Workflow / Automation

maps to

Freshsales

N/A

1:1
Fully supported

Realvolve workflow packages (Transaction Coordination, Listing Management, Sphere of Influence, Past Client Follow-up) and individual automation rules do not migrate. FlitStack exports the workflow definition JSON as a rebuild reference for your Freshsales admin to recreate in Freshsales workflows or via the workflow builder API.

Realvolve

Merge Field / Template

maps to

Freshsales

N/A

1:1
Fully supported

Realvolve email and document merge field templates (used for drip campaigns, anniversary reminders, birthday emails) require manual recreation in Freshsales email templates. Template variable names differ between platforms — we export a mapping table of Realvolve merge fields to Freshsales placeholder syntax.

Realvolve

User / Team Member

maps to

Freshsales

User

1:1
Fully supported

Realvolve user accounts map to Freshsales users by email match. Unmatched users are flagged before migration; the team either creates Freshsales accounts first or assigns records to a fallback user. Role and permission sets do not migrate — Freshsales profile and role assignment is a post-migration configuration step.

Realvolve

Tag / Label

maps to

Freshsales

Tag

1:1
Fully supported

Realvolve tags applied to People, Properties, and Transactions migrate as Freshsales tags on the corresponding Contact, Account, or Deal record. Tags are preserved exactly; Freshsales does not enforce tag hierarchies so flat tag lists map cleanly. Any tag that does not yet exist in Freshsales is created on-the-fly during migration, ensuring no tags are dropped due to pre-existing absence in the target system.

Realvolve

Custom Field (Person-level)

maps to

Freshsales

Custom Field (Contact/Lead)

1:1
Fully supported

Realvolve custom person properties (e.g., lead source, referral source, special instructions) that have no Freshsales standard field equivalent are created as Freshsales custom fields on Contact or Lead. Field type is matched (text, number, date, pick-list) during the mapping phase.

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.

Realvolve logo

Realvolve gotchas

High

No documented public REST API

Medium

Workflow structure requires destination-side rebuild

Medium

Merge field divergence by market

Low

Top Producer export must be imported unedited

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

  • Realvolve transaction stages do not auto-map to Freshsales pipeline stages

    Realvolve uses transaction-specific stages (Active, Under Contract, Inspection, Appraisal, Closing, Closed) that are configured per workflow package. Freshsales Deal pipelines have their own stage sets defined per pipeline. A 1:1 mapping requires your Freshsales admin to pre-create the Freshsales pipeline with matching stage names and ordering before the migration runs. If stages don't exist in Freshsales, records land in an unmapped state and require manual reassignment after migration. We recommend reviewing the stage mapping during the pre-flight diff so any missing stages can be created in Freshsales before the load, preventing downstream reassignment work.

  • Person-type labels (Buyer, Seller, Agent) need Freshsales custom field

    Realvolve tags each person with a type label — Buyer, Seller, Agent, Vendor, etc. — as a core property. Freshsales Contact has no standard person-type field; the only lifecycle-stage distinction is the built-in Contact lifecycle which tracks marketing progression (Subscriber through Evangelist), not real estate role. We store person_type as a custom pick-list field (person_type__c) on Contact, but this requires your Freshsales admin to create the custom field before migration data is loaded.

  • Freshsales API rate limits cap migration throughput per plan tier

    Freshsales enforces per-hour API request limits: 1,000/hour on Growth, 2,000/hour on Pro, 5,000/hour on Enterprise. Large migrations (100,000+ records) will be throttled by these limits regardless of how fast Realvolve can export. Migration runbooks must include a rate-limit-aware batch scheduler that pauses between requests to avoid HTTP 429 errors. Plan upgrades may be required if throughput targets cannot be met within the Growth tier. We recommend estimating total API calls based on record counts and field volume, then adjusting batch sizes to stay within the hourly ceiling. If sustained high volume exceeds your plan limit, consider a temporary upgrade or extending the migration window.

  • Realvolve workflow packages and automation rules do not migrate

    Realvolve's Premium Workflow Suites (Transaction Coordination $799, Listing Management, Sphere of Influence, Past Client Follow-up) are add-on packages with configuration tied to Realvolve's own event-trigger engine. These automation rules — including pause-at-step, response-trigger, and deadline-automation logic — have no Freshsales equivalent at the data layer. We export the workflow definition as a JSON reference document, but rebuilding the logic in Freshsales workflows requires manual re-implementation by a Freshsales admin or consultant.

  • Property records collapse into Deal custom fields — no native Property object

    Freshsales has no Property or Listing object. Realvolve Property records (with MLS numbers, listing addresses, listing prices, and showing schedules) are not a native entity in Freshsales. We map these as custom fields on the associated Freshsales Deal (mls_number__c, property_address__c, listing_price__c, property_status__c). If you rely on property-level reporting across multiple transactions, this flattening means losing the ability to query 'all transactions on Property X' in Freshsales without a custom object workaround.

Migration approach

Six steps for a successful Realvolve to Freshsales data migration

  1. Pre-migration Freshsales schema setup

    Before data extraction begins, your Freshsales admin (or our team) creates the custom fields, pipelines, and stage configurations needed to receive Realvolve data. We deliver a schema setup checklist: person_type__c custom pick-list on Contact, mls_number__c and property_address__c on Deal, commission_amount__c currency field, and Freshsales pipelines matching your Realvolve transaction pipelines. The Freshsales side must be schema-ready before field validation runs.

  2. Realvolve data extraction via scoped API read

    FlitStack connects to Realvolve using scoped read credentials — read-only access to contacts, people, companies, transactions, properties, activities, notes, files, and tags. We extract in dependency order: users first (for owner mapping), then companies, people, properties, transactions, activities, and finally files. Each object export is paginated to handle large accounts. Realvolve does not publish per-hour API rate limits, so we apply conservative polling intervals to avoid triggering any undocumented throttling.

  3. Owner and user resolution by email match

    Realvolve owner IDs are resolved against Freshsales users by matching email address. Unmatched owners are flagged in a pre-flight report — your team either creates Freshsales user accounts for those agents first, or we assign their records to a designated fallback user during migration. This step prevents records from landing in Freshsales with a null owner, which would break pipeline assignment rules and reporting.

  4. Sample migration with field-level diff

    A representative slice of 100–500 records migrates first: contacts across all person types, deals at each pipeline stage, a sample of activities and notes, and a property-attached transaction. We generate a field-level diff comparing source Realvolve values to destination Freshsales values so you can verify person_type mapping, pipeline stage mapping, commission field population, and owner resolution before the full run commits.

  5. Full migration run with delta-pickup window

    The full data set migrates in batches respecting Freshsales API rate limits for your plan tier. After the initial load, a delta-pickup window (24–48 hours) captures any Realvolve records modified or created during the cutover window — new contacts, updated transaction stages, or new activities entered while Freshsales was being configured. Audit log tracks every record operation; one-click rollback is available if the final reconciliation identifies data integrity issues.

Platform deep dives

Context on both ends of the pair

Realvolve logo

Realvolve

Source

Strengths

  • Branching workflow automation that pauses for client input and triggers next steps conditionally.
  • Pre-programmed import from Top Producer preserves contact-to-property connections intact.
  • Built-in dialer, email, SMS, and social messaging (Quick Connect) within one platform.
  • Transaction management with escrow tracking and document storage for the full deal lifecycle.
  • 4.3/5 customer service rating; users report fast live chat resolution times.

Weaknesses

  • Steep learning curve compared to simpler real estate CRMs; onboarding requires time investment.
  • Custom merge fields are not fully supported in all state markets, limiting personalization flexibility.
  • Workflow reliability concerns reported in reviews; some automation triggers fail unexpectedly.
  • No public API documentation visible in search results, suggesting integrations rely on Zapier rather than direct API access.
  • Pricing model bundles features across tiers, making it harder to predict total cost as teams grow.
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 Realvolve 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

    Realvolve: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Realvolve 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 Realvolve to Freshsales data migrations

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

Can't find your answer?

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Book a free 30 minute consultation

Most Realvolve-to-Freshsales migrations complete in 48–72 hours of clock time for under 50,000 records including a sample diff run. Accounts exceeding 200,000 records or with complex multi-pipeline transaction setups extend to 5–10 days. The longest step is pre-migration Freshsales schema setup — creating custom fields and pipelines to receive Realvolve data — which runs in parallel before the data extraction begins.

Adjacent paths

Related migrations to explore

Ready when you are

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