CRM migration

Migrate from Real Geeks to Freshsales

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

Real Geeks logo

Real Geeks

Source

Freshsales

Destination

Freshsales logo

Compatibility

100%

12 of 12

objects map 1:1 between Real Geeks and Freshsales.

Complexity

BStandard

Timeline

24–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Real Geeks is a lead-generation platform built for real estate agents — it captures leads from IDX websites, Facebook, and paid ads, then feeds them into a simple CRM. The data model is relatively flat: leads with contact details, status fields (Active, In Escrow, Closed Escrow, Dead, Cancelled), urgency ratings, purchase timeframes, tags, and a limited activity log. Real Geeks exposes a REST API for leads and activities but does not surface a separate companies or contacts object — company data lives as fields on the lead record. Freshsales is a general-purpose CRM with a structured object hierarchy: Leads, Contacts, Accounts, Deals, Tasks, Events, Notes, and Products. Freshsales splits early-stage prospects (Lead object) from established relationships (Contact + Account objects). Pipeline stages, deal amounts, close dates, and owner assignments live on the Deal (opportunity) object rather than on the contact. Freshsales also supports custom fields, custom modules, workflows, Freddy AI scoring, territory management, and a per-seat pricing model with tiered API rate limits. FlitStack AI pulls data from Real Geeks via the Real Geeks REST API, maps lead records into Freshsales Leads, extracts embedded company data into Freshsales Accounts, and creates Deals for each active pipeline record. Real estate-specific status values (In Escrow, Closed Escrow) that have no Freshsales equivalent are preserved as custom pick-list fields. Owner resolution uses email matching against Freshsales users. A delta-pickup window captures any new leads created during the cutover. Workflows, automations, and integrations do not migrate — those require a fresh build in Freshsales Workflows.

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

Real Geeks logo

Real Geeks

What's pushing teams away

  • The sticker price of $299/month understates actual costs; add-ons for Geek AI, MLS feeds, and PPC ad spend routinely push total spend to $800/month or higher for solo agents.
  • Multiple reviewers report a difficult cancellation process requiring persistent phone calls and email follow-up, with some agents paying for months before accounts close.
  • Lead quality is inconsistent; rural agents and those outside major metros report receiving incomplete or low-intent leads despite promises of consistent volume.
  • The interface is described as dated and slow-loading, with a steep learning curve that requires formal training before agents become productive.
  • Customer support quality varies widely; some agents report helpful interactions while BBB complaints detail misleading sales tactics and unresponsive assistance.

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 Real Geeks objects map to Freshsales

Each row shows how a Real Geeks 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.

Real Geeks

Lead (Real Geeks)

maps to

Freshsales

Lead (Freshsales)

1:1
Fully supported

Real Geeks lead records migrate 1:1 into Freshsales Leads. Freshsales Lead object accommodates first name, last name, email, phone, address, and all standard contact fields natively. Real Geeks urgency and timeframe fields migrate as custom pick-list fields since Freshsales has no native urgency or buying-timeframe field. Owner assignment resolves by email match to Freshsales users.

Real Geeks

Lead.company (embedded field)

maps to

Freshsales

Account (Freshsales)

1:1
Fully supported

Real Geeks does not expose a separate companies object — company data lives as fields on each lead record. FlitStack extracts unique company names during the export phase, deduplicates them, and creates Freshsales Account records. Each lead then links to its primary Account via the Account lookup. Leads sharing the same company name collapse to a single Account with multiple linked leads.

Real Geeks

Lead.status

maps to

Freshsales

Custom Field: Real_Estate_Status__c (Freshsales Lead)

1:1
Fully supported

Real Geeks status values — Active, In Escrow, Closed Escrow, Dead, Cancelled — have no direct Freshsales equivalent. We create a custom pick-list field (Real_Estate_Status__c) on the Freshsales Lead and map each value by name. Teams using the Pro/Enterprise pipeline model may opt to convert 'Closed Escrow' records to Won Deals and 'Cancelled' records to Lost Deals with reason capture.

Real Geeks

Lead (with Deal association)

maps to

Freshsales

Deal (Freshsales)

1:1
Fully supported

Real Geeks tracks deal-like records (active leads with an associated property transaction) as part of the lead record. FlitStack identifies leads with a meaningful deal association — e.g., those in In Escrow or Closed Escrow status — and creates Freshsales Deals linked to the lead's Account and Contact. Deal name, amount, close date, and owner map from Real Geeks lead fields to Freshsales Deal fields.

Real Geeks

Pipeline Stage (Real Geeks implicit)

maps to

Freshsales

Pipeline Stage (Freshsales Deal)

1:1
Fully supported

Real Geeks does not expose a formal pipeline object with configurable stages via its API — deal stage is stored as a status field on the lead. For Freshsales, we create a Sales Pipeline with stages that mirror the Real Geeks lifecycle: New Lead → Contacted → In Escrow → Closed Escrow (Won) / Dead (Lost). Each stage maps to a Freshsales Deal Stage value. Teams on Pro/Enterprise can add additional stages post-migration.

Real Geeks

Saved Search (Real Geeks filter)

maps to

Freshsales

Custom Field + Filter (Freshsales)

1:1
Fully supported

Real Geeks saved searches act as dynamic filters that agents use to segment their database. Freshsales has Views and Advanced Filters but no direct saved-search migration. We capture the filter criteria (status, urgency, source, date range) as a JSON blob in a custom text field (Saved_Search_Criteria__c) and document the equivalent Freshsales View setup for the admin to recreate.

Real Geeks

Lead Source

maps to

Freshsales

Lead Source (Freshsales Lead)

1:1
Fully supported

Real Geeks tracks lead origin — website, Facebook, PPC, Zillow, Realtor.com — in a source field on the lead record. This maps directly to Freshsales Lead Source pick-list. Custom lead sources in Real Geeks require value-mapping on the Freshsales side to ensure the pick-list covers all source variants.

Real Geeks

Tags (Real Geeks)

maps to

Freshsales

Tags (Freshsales)

1:1
Fully supported

Real Geeks tag field stores comma-separated agent-applied labels on leads. Freshsales supports native Tags on Leads, Contacts, Accounts, and Deals. Tags migrate as-is. Freshsales applies tags to the record type — no transformation needed. Duplicate tags (case variations) are normalized during migration.

Real Geeks

Notes (Real Geeks)

maps to

Freshsales

Notes (Freshsales)

1:1
Fully supported

Real Geeks notes field on lead records migrates as Freshsales Notes attached to the corresponding Lead. Each note preserves the original text content and timestamp. If the note references another lead or property, the cross-reference is noted in the note body for manual follow-up.

Real Geeks

Real Geeks User / Owner

maps to

Freshsales

User (Freshsales)

1:1
Fully supported

Real Geeks assigns each lead to a user (agent or admin). FlitStack resolves the owner by matching the Real Geeks owner email against Freshsales user emails. Unmatched owners are flagged in a pre-migration report — the team either invites them to Freshsales first or assigns their records to a fallback owner. No record lands in Freshsales without a resolved owner.

Real Geeks

Lead.created_at

maps to

Freshsales

Original_Create_Date__c (Freshsales custom datetime)

1:1
Fully supported

Freshsales CreatedDate is set to the migration run timestamp, not the original lead creation date. To preserve historical reporting continuity, we store the original Real Geeks create date in a custom datetime field (Original_Create_Date__c) on the Freshsales Lead. This allows agents to sort and report on true lead age after migration.

Real Geeks

Custom Lead Fields (Real Geeks)

maps to

Freshsales

Custom Fields (Freshsales Lead)

1:1
Fully supported

Real Geeks custom lead detail fields added via CRM settings migrate as Freshsales custom fields on the Lead object. Field types are preserved — text to text, pick-list to pick-list, number to number. Lookup-type custom fields in Real Geeks that reference other Real Geeks records are flagged for manual review since cross-record references do not translate directly to Freshsales lookups.

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.

Real Geeks logo

Real Geeks gotchas

High

CSV export omits activity and behavioral history

High

No bulk API — large databases require per-record calls

Medium

Outgoing API requires a publicly accessible webhook endpoint

Medium

Billing cancellation requires direct support contact

Low

Mailchimp and third-party integrations validate email independently

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

  • Real Geeks does not expose a companies or contacts API object — company data requires extraction from lead records

    Real Geeks stores company information as fields on the lead record rather than in a separate companies object. Their REST API (developers.realgeeks.com) surfaces the /leads endpoint and /activities endpoint but does not provide a /companies endpoint. This means FlitStack must deduplicate company names across all lead records, create Freshsales Account records from the extracted unique values, and then link each lead to its primary Account via AccountId. If a lead has no company name, it creates an 'Unassigned Account' placeholder so the lead passes Freshsales required-field validation. This extraction-and-deduplication step adds planning time and must be documented in the field-mapping plan before migration runs.

  • Freshsales API rate limits cap ingestion speed — the customer's plan tier determines batch sizing

    Freshsales enforces per-hour API rate limits that vary by plan tier: Growth capped at 1,000 requests/hour, Pro at 2,000/hour, and Enterprise at 5,000/hour. All tiers share a 400 requests/minute floor regardless of plan. Exceeding the limit triggers HTTP 429 responses. FlitStack monitors response headers and implements exponential backoff when 429 is returned, but this extends migration clock time. The migration plan must confirm the customer's Freshsales plan tier before estimating duration. Teams on the Growth plan with 25,000+ leads should expect significantly longer migration windows than the base estimate due to rate-limit throttling.

  • Real estate-specific status values require custom Freshsales pick-list fields — no native equivalent exists

    Real Geeks status values (Active, In Escrow, Closed Escrow, Dead, Cancelled) describe real estate transaction stages that have no direct mapping to Freshsales Lead Status pick-list values, which are designed around general B2B sales lifecycle stages (New, Open, Unqualified, Attempting to Contact). Freshsales Deal stages also lack a pre-built 'In Escrow' or 'Closed Escrow' value. FlitStack creates a custom pick-list field (Real_Estate_Status__c) on the Freshsales Lead object and maps each Real Geeks status value 1:1. However, teams that want to use Freshsales native pipeline reporting on these statuses must re-create stage definitions post-migration, which requires Freshsales admin involvement and page layout updates.

  • Real Geeks export explicitly excludes comprehensive activity history — only limited property-view and search data migrates

    The Real Geeks export documentation (support.realgeeks.com/exporting-leads) states that the CSV export does not include a comprehensive activity history of every action the lead performed on the website. Their API surfaces /leads and /activities endpoints, but the activity data is limited to property searches and property views — not full email, call, or meeting logs typical of enterprise CRMs. FlitStack migrates whatever activity data the Real Geeks API returns and attaches it to the Freshsales Lead as Sales Activities, but agents who rely on detailed engagement history (drip email opens, meeting schedules, call recordings) will find this data gap unavoidable. We disclose this limitation in the migration plan and recommend rebuilding activity tracking from Freshsales native tools (Freshsales email sync, Freshcaller) going forward.

  • Freshsales does not support Real Geeks saved searches as migratable objects — they must be recreated manually

    Real Geeks saved searches act as dynamic segmentation filters that agents use to group leads by status, urgency, source, or location. Freshsales has Views and Advanced Filters that serve the same purpose, but there is no export or mapping path between Real Geeks saved searches and Freshsales views. FlitStack captures the filter criteria from each saved search as a JSON blob stored in a custom text field (Saved_Search_Criteria__c) on a representative lead record and delivers a Saved_Search_Translation_Guide document that maps each Real Geeks filter to the equivalent Freshsales Advanced Filter configuration. The admin must recreate the views manually in Freshsales after migration.

Migration approach

Six steps for a successful Real Geeks to Freshsales data migration

  1. Audit Real Geeks data via API and document the export schema

    FlitStack connects to the Real Geeks REST API using the customer's API key and paginates through the /leads and /activities endpoints. We pull all lead records including custom detail fields, tag arrays, status and urgency values, company names embedded in lead fields, and whatever activity data Real Geeks exposes. We produce a pre-migration data audit report listing record counts by status, unique company names, custom field definitions, and owner distribution. This report is the basis for the field-mapping plan and the custom field creation checklist for Freshsales.

  2. Create Freshsales custom fields and map pick-list values

    Before data moves, FlitStack delivers a Freshsales setup checklist based on the Real Geeks data audit. The admin (or our team) creates the custom fields needed on the Lead and Deal objects: Real_Estate_Status__c (pick-list with Active, In Escrow, Closed Escrow, Dead, Cancelled), Urgency__c (pick-list), Timeframe__c (pick-list), Original_Create_Date__c (datetime), Source_System_ID__c (text), and any property-interest custom fields. Freshsales Lead Source pick-list values are extended to cover all Real Geeks source variants. This step ensures the Freshsales schema is ready before any data validation runs.

  3. Resolve Real Geeks owners against Freshsales users by email

    FlitStack extracts all unique owner email addresses from the Real Geeks lead records and matches them against the Freshsales user list via the Freshsales Users API. Owners with a matching Freshsales user are resolved to their Freshsales User ID. Owners without a match are flagged in a pre-migration Owner_Unresolved_Report. The team either creates Freshsales accounts for those owners before migration or designates a fallback owner. No lead migrates without a resolved Freshsales owner — unresolvable leads are assigned to the fallback owner identified in the report.

  4. Run a sample migration with field-level diff for validation

    A representative slice of 200–500 Real Geeks leads migrates first — spanning each status value, urgency tier, owner, and source variant. FlitStack generates a field-level diff comparing source values against the resulting Freshsales fields. The customer reviews the diff to verify Real_Estate_Status__c mapping, Urgency__c values, owner resolution, and Account linkage for leads with company data. No custom field values are truncated, no pick-list values fall through unmapped, and no leads land without an owner. Approval of the sample diff triggers the full migration run.

  5. Execute full migration and delta-pickup window for in-flight leads

    The full dataset migrates from Real Geeks to Freshsales using batched API calls throttled to the customer's Freshsales plan rate limit. FlitStack monitors for HTTP 429 responses and backs off automatically. A delta-pickup window of 24–48 hours begins at the start of the full migration run: any leads created or modified in Real Geeks during this window are captured and synced to Freshsales after the main batch completes. An audit log records every record created, updated, or skipped. One-click rollback reverts the Freshsales instance to its pre-migration state if reconciliation reveals data integrity issues.

Platform deep dives

Context on both ends of the pair

Real Geeks logo

Real Geeks

Source

Strengths

  • IDX website bundled with CRM means lead source and CRM record are natively connected from day one.
  • Real estate-specific data model (urgency, timeframe, property searches) gives agents immediate context that generic CRMs cannot replicate.
  • Built-in Facebook and Google advertising tools let teams run paid lead gen without exporting to a separate ad platform.
  • Per-user pricing drops sharply at scale, making it cost-competitive for teams of 10 or more agents.
  • Real Geeks University and a Mastermind Group provide structured onboarding paths that some agents find valuable.

Weaknesses

  • Native CSV export omits comprehensive activity history, requiring API calls to reconstruct a full behavioral timeline.
  • The platform has no documented bulk API; large migrations must loop through individual lead records which is slower and more prone to rate-limit issues.
  • Drip campaign automation logic cannot be exported; every workflow must be manually rebuilt on the destination platform.
  • Cancellation requires direct contact with billing support and has been reported as a multi-week process.
  • No native two-way sync with popular platforms; integrations like Real Geeks-to-Realvolve are one-directional.
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. 2 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 Real Geeks and Freshsales.

  • Object compatibility

    B

    2 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

    Real Geeks: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Real Geeks 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 Real Geeks to Freshsales data migrations

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

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Most Real Geeks-to-Freshsales migrations complete in 24–72 hours of clock time for setups with fewer than 25,000 lead records. Larger databases — 25,000 to 200,000 records — extend to 5–10 days, particularly when the Freshsales account is on a Growth-tier plan with a 1,000 requests/hour API cap. The Freshsales API rate limit is the primary clock-time variable; the data audit and custom field setup add 1–2 days of planning before any records move.

Adjacent paths

Related migrations to explore

Ready when you are

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