CRM migration

Migrate from Rechat to Pipedrive

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

Rechat logo

Rechat

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

100%

12 of 12

objects map 1:1 between Rechat and Pipedrive.

Complexity

CModerate

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Rechat is a real estate–specific AI CRM built for brokerages, with deep MLS integration, transaction management, property search, and automated marketing Flows. Its data model centers on People (contacts), Organizations (brokerages, MLS listings, companies), Deals (transaction records), Campaigns, and custom Properties. Pipedrive is a general-purpose sales CRM with a flat object model: Person, Organization, Deal, Activity, Product, and Lead — no native real estate objects. FlitStack AI maps Rechat People to Pipedrive Person, Organizations to Organization, and Deals to Deal. Rechat custom Properties migrate to Pipedrive custom fields (created before the migration using exact property names as labels). Rechat email metadata (subject, teaser, date — Rechat does not store email body content) migrates into Pipedrive Activity records. The real estate domain objects — MLS listings, transaction IDs, property addresses — have no Pipedrive equivalent; we surface these as custom fields so your admin can decide how to use them post-migration. Rechat Flows (automation logic) do not migrate and must be rebuilt in Pipedrive Automations — we export the Flows definition as a rebuild reference. Pipedrive's token-based API rate limits (introduced December 2024) govern bulk migration pacing; large record sets require batch scheduling. A 24–48h delta window captures in-flight records created or 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

Rechat logo

Rechat

What's pushing teams away

  • Agents without Google or Outlook accounts report being unable to access full automation features, making Rechat feel incomplete as a standalone CRM.
  • A June 2025 Heroku/Salesforce outage knocked Rechat offline for an extended period, raising concerns about infrastructure dependency on a third-party cloud provider.
  • Users moving to platforms with published API documentation find Rechat's undocumented endpoints limiting when attempting programmatic data exports.
  • Rechat's AI assistant Lucy is tightly integrated, making workflows harder to replicate when agents switch to platforms with different automation paradigms.
  • Brokers seeking simpler per-seat pricing without tier-gated features find Rechat's enterprise-focused model harder to justify for small teams.

Choosing

Pipedrive logo

Pipedrive

What's pulling them in

  • Clean drag-and-drop pipeline interface with minimal learning curve, making it approachable for small sales teams without dedicated CRM admins.
  • Visual deal tracking keeps reps focused on next actions — activities, calls, and follow-up tasks surface directly in the pipeline view.
  • Strong integrations via Zapier and native marketplace apps let teams wire Pipedrive into Calendly, ActiveCampaign, and similar sales-stack tools.
  • Mobile apps for iOS and Android keep field reps connected to deals, contacts, and tasks without a desktop session.
  • Reputation and review volume — over 3,000 verified reviews across G2 and Capterra — signal reliability for teams evaluating CRM options.

Object mapping

How Rechat objects map to Pipedrive

Each row shows how a Rechat object lands in Pipedrive, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Rechat

Person (People)

maps to

Pipedrive

Person

1:1
Fully supported

Rechat Person maps 1:1 to Pipedrive Person — name, email, phone, job title, address, and owner all transfer directly. Phone numbers, including mobile phone, map to Pipedrive's phone and mobile fields respectively. Rechat does not store email body content; email metadata (subject, teaser, date, sender/recipient) migrates to Pipedrive Activity records linked to the Person.

Rechat

Organization

maps to

Pipedrive

Organization

1:1
Fully supported

Rechat Organizations (brokerages, MLS entities, companies) map to Pipedrive Organization. Address, industry, phone, website, and owner fields transfer directly. The organization's domain (website URL) is stored in Pipedrive's website field. Parent-child hierarchies in Rechat map to Pipedrive's parent Organization relationship, preserving the organizational structure.

Rechat

Deal

maps to

Pipedrive

Deal

1:1
Fully supported

Rechat Deal maps to Pipedrive Deal with stage name, amount, expected close date, owner, and associated Person and Organization. The deal's title and value transfer directly. Each Rechat deal pipeline becomes a Pipedrive pipeline; stage values migrate per pipeline with probability mapping, ensuring deal forecasting accuracy is maintained in Pipedrive.

Rechat

Activity (email metadata)

maps to

Pipedrive

Activity

1:1
Fully supported

Rechat stores email metadata (subject, teaser, date, sender/recipient) only — no email body. This metadata migrates as Pipedrive Activity records of type 'email' linked to the Person. The full email body remains in the connected Google/Outlook account and must be accessed there post-migration.

Rechat

Activity (calls, meetings, tasks)

maps to

Pipedrive

Activity

1:1
Fully supported

Rechat call logs, scheduled meetings, and tasks map to Pipedrive Activity records with original timestamps, duration, owner, and linked Person or Organization preserved. Activity type (call, meeting, task) is mapped by activity_subtype. Due dates and due times transfer to Pipedrive's due_date and due_time fields respectively, maintaining the original scheduling information.

Rechat

Campaign

maps to

Pipedrive

No equivalent

1:1
Fully supported

Rechat Campaigns (real estate email marketing, listing blasts, drip sequences) have no Pipedrive equivalent. Campaign membership and campaign-level engagement metrics (opens, clicks) do not migrate. Email automation logic must be rebuilt in a dedicated marketing platform or Pipedrive Automations (Advanced+).

Rechat

Flow (automation rules)

maps to

Pipedrive

Automation

1:1
Fully supported

Rechat Flows are automation rules scoped to contacts, deals, and campaigns. Pipedrive Automations are triggered by field changes or deal stage transitions. Flows do not export as executable logic — FlitStack exports the Flow definitions as a JSON reference document for your Pipedrive admin to rebuild manually.

Rechat

Custom Property (People)

maps to

Pipedrive

Person custom field

1:1
Fully supported

Rechat custom Properties on People (e.g., license number, lead source, buyer/seller flag) require Pipedrive custom Person fields to be created first using the exact property name as the field label. Pipedrive's API assigns a hash key per custom field per account — we store this mapping and reference it during migration.

Rechat

Custom Property (Deal)

maps to

Pipedrive

Deal custom field

1:1
Fully supported

Rechat Deal properties (transaction ID, property address, MLS number, listing price, commission split, property type) need Pipedrive custom Deal fields created in advance. Real estate domain values (MLS IDs, property types) may need value-mapping if pick-list constraints are applied in Pipedrive. The migration stores the Rechat property name as the Pipedrive field label and preserves the original data type (text, number, currency, picklist).

Rechat

Custom Property (Organization)

maps to

Pipedrive

Organization custom field

1:1
Fully supported

Rechat Organization properties (brokerage name, MLS association ID, office address type, brokerage description) migrate to Pipedrive Organization custom fields. Long text fields (e.g., brokerage description) migrate as Pipedrive text fields with full content preserved. The migration uses the exact Rechat property name as the Pipedrive field label and matches the data type to ensure data integrity during transfer.

Rechat

Owner (user)

maps to

Pipedrive

User

1:1
Fully supported

Rechat user accounts map to Pipedrive users by email address match. The migration validates each owner match before processing and generates a resolution report. Unmatched owners (e.g., deactivated Rechat agents) are flagged before migration — their records must be assigned to a fallback Pipedrive user or a dedicated 'Migrated Owner' placeholder to ensure all migrated records have a valid owner.

Rechat

Note

maps to

Pipedrive

Note

1:1
Fully supported

Rechat Notes attached to People, Organizations, or Deals migrate to Pipedrive Notes with original text, author, and timestamp preserved. The note content transfers in full, including any formatting or embedded links. Notes are linked to the target record by ID after IDs are assigned in Pipedrive, ensuring proper association with the migrated parent record.

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.

Rechat logo

Rechat gotchas

High

Heroku/Salesforce outage risk impacts migration timing

High

Email bodies are never stored in Rechat

Medium

Flows automations are not exportable via API

Medium

Lucy AI assistant history is not accessible

Low

Contact export produces flat Excel, not relational data

Pipedrive logo

Pipedrive gotchas

High

Custom field hash keys differ per account

High

Export access gated by visibility groups

Medium

Token-based API rate limits since December 2024

Medium

Sequences and Automations not exposed via REST API

Low

Cost escalates via workflow caps and add-ons

Pair-specific challenges

  • Pipedrive custom field keys are account-specific and must be pre-created

    Pipedrive assigns a unique 40-character hash key to every custom field, and these keys differ per Pipedrive account. Rechat custom Properties use freeform text labels that can be long and inconsistent. Before migration begins, FlitStack AI creates all required Pipedrive custom fields using the exact Rechat property name as the label, stores the resulting Pipedrive field keys, and references those keys during the bulk write phase. Skipping this step causes migration failures because the import relies on field keys, not field names.

  • Rechat email metadata migrates but email body content does not exist in Rechat

    Rechat explicitly states it does not store email body content — only metadata (subject line, teaser text, date, sender/recipient). The full email body is retrieved live from the connected Google or Outlook account at the time of display. When migrating email history to Pipedrive, only the metadata fields transfer into Activity records. The complete email body will not appear in Pipedrive because it was never stored in Rechat. Teams expecting a full email archive in Pipedrive after migration will find partial records unless the email body is separately exported from Gmail/Outlook.

  • Token-based API rate limits govern bulk write throughput in Pipedrive

    Pipedrive introduced token-based API rate limits starting December 2024, affecting both new and existing accounts based on their plan tier. The rate limits cap requests per minute and per day, directly affecting how quickly a bulk migration can complete. For Rechat migrations exceeding 5,000 records, FlitStack AI schedules writes in batches with enforced delays to stay within Pipedrive's rate ceiling. Larger datasets with complex custom field structures may require multiple migration sessions spread over 24–48 hours, which extends the overall timeline.

  • Real estate domain objects have no native Pipedrive equivalent

    Rechat's data model includes real estate–specific objects and properties — MLS listing IDs, transaction IDs, property addresses, property types, commission splits — that have no analogue in Pipedrive's general-purpose sales CRM model. FlitStack AI migrates these as Pipedrive custom fields on Deal or Person, preserving the data but not its original real estate semantics. MLS search integration, transaction status tracking, and property-level reporting that function natively in Rechat require rebuilding as custom Pipedrive workflows or reports post-migration.

  • Rechat Flows and automation logic do not migrate and cannot be exported as executable rules

    Rechat Flows (automated workflows scoped to contacts, deals, and campaigns) are defined within Rechat's proprietary system and are not accessible via exportable API or structured file format. FlitStack AI cannot migrate Flows as operational automation rules to Pipedrive. As part of the migration package, FlitStack exports a structured JSON document describing each Flow's trigger conditions, action sequence, and applied criteria so that a Pipedrive admin can manually rebuild equivalent Pipedrive Automations (available on Advanced plans and above). This rebuild step is a mandatory post-migration activity and should be factored into migration planning.

Migration approach

Six steps for a successful Rechat to Pipedrive data migration

  1. Discover Rechat schema and audit custom properties

    FlitStack AI connects to Rechat via API to export the complete data model: all People, Organizations, Deals, Activities, Notes, and custom Properties. We inventory every custom Property — its name, data type, and object association — and cross-reference it against Pipedrive's native field list. The output is a migration schema document listing which Rechat fields map directly, which need Pipedrive custom fields created, and which have no Pipedrive equivalent (tagged for manual decision). We also export Rechat Flows as a JSON reference document for post-migration rebuild.

  2. Pre-create Pipedrive custom fields with account-specific keys

    Before any data moves, FlitStack AI creates all required Pipedrive custom fields using the Pipedrive API. We use each Rechat property's exact name as the Pipedrive field label, select the matching Pipedrive field type (text, number, currency, picklist), and store the resulting Pipedrive field key in the migration mapping table. This step is critical because Pipedrive field keys are account-specific and are required for bulk write operations — field labels alone cannot be used during import. This step typically takes 1–2 hours for migrations with up to 50 custom fields.

  3. Resolve owners and validate email matches

    Rechat user accounts are matched to Pipedrive users by email address. We pull the full user list from both platforms, run the email-match lookup, and generate a resolution report listing matched pairs, unmatched Rechat owners, and unmatched Pipedrive users. Unmatched owners are assigned to a designated fallback Pipedrive user before migration. All records are validated to have a valid Pipedrive owner before the migration write phase begins.

  4. Run sample migration with field-level validation

    A representative slice of 50–100 records — spanning People, Organizations, Deals, and Activities across multiple custom Properties — migrates first into a Pipedrive test environment. FlitStack AI generates a field-level validation report comparing source values against destination values for every mapped field. You review the validation report, confirm that real estate custom Properties (MLS numbers, transaction IDs, commission splits) landed in the correct Pipedrive custom fields, and approve or flag adjustments before the full run commits.

  5. Execute full migration with rate-limit-managed batching

    The full dataset migrates using Pipedrive's REST API with batch scheduling tuned to Pipedrive's token-based rate limits (plan-dependent, introduced December 2024). We migrate in dependency order: Organizations first (since People and Deals reference them), then People, then Deals with Person and Organization links resolved by source ID, then Activities and Notes. Each batch is validated after write and retried on failure. A 24–48h delta window runs concurrently to capture any records created or modified in Rechat during the migration window.

  6. Validate, reconcile, and deliver Flows rebuild reference

    Post-migration, FlitStack AI generates a reconciliation report: record counts per object type, field fill rates, and a list of any records that failed to migrate with error reasons. You compare this against your Rechat record counts. The exported Flows JSON document — detailing every Rechat Flow's trigger, conditions, and actions — is delivered alongside the migration report so your Pipedrive admin can begin rebuilding automations in Pipedrive Automations. One-click rollback to the pre-migration snapshot is available for 48 hours after completion if reconciliation reveals critical issues.

Platform deep dives

Context on both ends of the pair

Rechat logo

Rechat

Source

Strengths

  • All-in-one platform replacing separate CRM, marketing suite, and listing tools with one interface and one login.
  • Two-way real-time sync with Google and Outlook for contacts, calendar, and email metadata without third-party connectors.
  • Deep MLS integration enables agents to market listings, pull data for clients, and track opens and clicks directly from the platform.
  • AI assistant Lucy handles routine automations, freeing agents to focus on closings rather than administrative tasks.
  • Built by brokers who ran one of Canada's largest online brokerages, addressing real pain points around tool fragmentation.

Weaknesses

  • Pricing is not publicly published, making it difficult to compare costs before a sales conversation.
  • API documentation is sparse and undocumented endpoints make programmatic migration challenging without custom discovery work.
  • Platform runs on Heroku/Salesforce infrastructure, adding third-party dependency risk as demonstrated by the June 2025 outage.
  • Email body content is not stored — only metadata — so migrating email context requires additional handling or accepting data loss.
  • Full functionality requires Google or Outlook connection, limiting use for teams on other email platforms.
Pipedrive logo

Pipedrive

Destination

Strengths

  • Intuitive drag-and-drop pipeline that sales reps actually use without resistance or training overhead.
  • Per-seat unlimited-deals model on all tiers — reps cannot be blocked from logging activity.
  • Active marketplace with 400+ integrations and a documented REST API with OpenAPI 3 specs.
  • Mobile apps with offline access, call logging, and calendar sync keep field teams operational.
  • Strong focus on sales activity tracking — next-action reminders and follow-up scheduling are first-class features.

Weaknesses

  • No custom objects — teams needing non-standard data structures must work around the four standard entity types.
  • Workflow automation limits by tier (30, 60, 90 active workflows) force upgrades as processes grow.
  • No free permanent plan — teams evaluating fit must commit to a trial without a freemium option.
  • Limited advanced reporting and custom dashboard capabilities compared to HubSpot or Salesforce.
  • Export permissions are gated by visibility groups, meaning data scoping must account for who can see what before migration.

Complexity grading

How hard is this migration?

Moderate CRM migration. 4 of 8 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Rechat and Pipedrive.

  • Object compatibility

    C

    4 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

    Rechat: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Rechat to Pipedrive 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 Rechat to Pipedrive data migrations

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

Can't find your answer?

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Book a free 30 minute consultation

Most Rechat-to-Pipedrive migrations complete in 48–72 hours for datasets under 10,000 records with standard field mapping. Complex migrations with 10,000+ records, 30+ custom Properties, or real estate domain objects (MLS IDs, transaction fields) extend to 5–10 business days. Pipedrive's token-based API rate limits (introduced December 2024) govern write throughput for bulk operations, and large custom field sets require pre-creation before data can land in Pipedrive — both of these add planning time that is included in our project timeline.

Adjacent paths

Related migrations to explore

Ready when you are

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