CRM migration

Migrate from Entera to Pipedrive

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

Entera logo

Entera

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

100%

15 of 15

objects map 1:1 between Entera and Pipedrive.

Complexity

CModerate

Timeline

24–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Entera is a real estate investment SaaS platform designed for single-family rental investors, storing contacts with embedded company data, property-linked deals, and custom fields for investment metrics such as IRR, cap rate, and property type. Pipedrive is a sales-focused CRM that separates Person (contact) and Organization (company) entities, uses Deals with Pipeline and Stage fields, and supports 16 custom field types per entity. FlitStack AI connects to Entera's export API, extracts all Person, Organization, Deal, Activity, and custom field records, then maps them into Pipedrive's JSON-based API endpoints — creating the necessary custom fields in Pipedrive before inserting records in dependency order (Organizations first, then Persons, then Deals, then Activities). Every pipeline stage name is mapped value-by-value, investment-specific custom fields are recreated as Pipedrive custom fields, and original timestamps are preserved as custom datetime fields. Workflows, sequences, and automation logic do not migrate — we export the Entera workflow definitions as a structured JSON reference so your Pipedrive admin can rebuild them using Pipedrive's automation builder. All migration operations use read-only access to Entera; your team continues working in Entera throughout the cutover window.

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

Entera logo

Entera

What's pushing teams away

  • Geography is US-only across 32 markets — international SFR investors or US investors targeting outside the supported metros cannot use the platform meaningfully.
  • Pricing is not publicly disclosed and the platform combines SaaS plus services, making cost comparison against pure SaaS (RealPage, Mashvisor, Yardi) difficult upfront.
  • Single-family residential focus means multifamily, commercial, or mixed-use investors do not get fit-for-purpose tooling.
  • Service component requires Entera to be in the loop on every transaction, which institutional investors used to in-house acquisition teams may experience as friction.
  • Public reviewer footprint is thin (SourceForge, Slashdot) compared to mainstream real estate CRMs, making peer diligence harder for procurement 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 Entera objects map to Pipedrive

Each row shows how a Entera 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.

Entera

Contact

maps to

Pipedrive

Person

1:1
Fully supported

Entera contacts map directly to Pipedrive Persons using name, email, phone, and address fields. The primary company association from Entera becomes a link to a Pipedrive Organization, which may need to be created first if it does not yet exist in Pipedrive.

Entera

Contact.company (embedded)

maps to

Pipedrive

Organization

1:1
Fully supported

Entera stores company data inside the contact record rather than as a separate object. FlitStack AI extracts every unique company name from all Entera contacts, creates the corresponding Organization records in Pipedrive, then updates each Person record with the resolved organization_id lookup. This dependency order is critical because Pipedrive requires Organizations to exist before Persons can be linked via the foreign key relationship.

Entera

Deal

maps to

Pipedrive

Deal

1:1
Fully supported

Entera deals map to Pipedrive Deals with deal name, value, expected close date, and owner resolved by email matching. The Pipeline and Stage fields in Pipedrive are populated based on the Entera deal's current stage label, using the value-mapping table confirmed during the planning phase. Each Entera deal also receives its custom investment fields (IRR, cap rate, property address) via pre-created Pipedrive custom fields on the Deal record.

Entera

Deal stage name

maps to

Pipedrive

Stage (within Pipeline)

1:1
Fully supported

Each distinct stage label in Entera (e.g., Under Review, Due Diligence, Closing) is mapped to a corresponding Pipedrive Stage name within the assigned Pipeline. Probability values are applied per Pipedrive's stage configuration. Unmapped stages default to a catch-all stage and are flagged for admin review.

Entera

Custom field: property_address

maps to

Pipedrive

Organization or Deal (custom field)

1:1
Fully supported

Pipedrive has no native property-address field. The property address from Entera is migrated as a Pipedrive varchar custom field on either the Organization or Deal entity, depending on whether Entera associates the address with the company or the deal record. FlitStack AI determines the correct parent entity during the audit phase and creates the Property_Address__c field on the appropriate entity via the /organizationFields or /dealFields API endpoint before inserting records.

Entera

Custom field: investment_type (enum)

maps to

Pipedrive

Deal (custom field enum)

1:1
Fully supported

Entera investment_type values (e.g., Buy-and-Hold, Fix-and-Flip, BRRRR) are mapped to Pipedrive enum options on a custom Deal field. The exact option labels are matched value-by-value; any Entera values without a Pipedrive equivalent are flagged for admin selection before migration runs.

Entera

Custom field: IRR (numeric)

maps to

Pipedrive

Deal (custom field double)

1:1
Fully supported

The IRR value from Entera is migrated as a Pipedrive double-type custom field on the Deal record. Pipedrive supports numeric custom fields up to 18 digits, which covers all realistic IRR percentage values. No transformation is required beyond type mapping from Entera's numeric format to Pipedrive's double field representation.

Entera

Custom field: cap_rate (numeric)

maps to

Pipedrive

Deal (custom field double)

1:1
Fully supported

Cap rate values from Entera are migrated as a Pipedrive double-type custom field on the Deal record, stored as Cap_Rate__c. Because Pipedrive double fields preserve full decimal precision without rounding, cap rate values transfer with complete accuracy. FlitStack AI creates the Cap_Rate__c field via the /dealFields API endpoint before inserting any Deal records, ensuring the custom field exists and is properly keyed for the first migration run.

Entera

Activity (property tour, due-diligence note, investor call)

maps to

Pipedrive

Activity

1:1
Fully supported

Entera activity logs are migrated as Pipedrive Activities of the corresponding type (call, meeting, task). Each activity is linked to its parent Person or Deal record using Pipedrive's activity API parameters. Original timestamps are preserved using the done_time and due_date fields.

Entera

Note / free-text comment

maps to

Pipedrive

Note

1:1
Fully supported

Entera free-text notes attached to contacts or deals migrate as Pipedrive Notes, which support both plain text and HTML content. Notes are linked to the parent Person, Organization, or Deal via the entity_type and entity_id parameters in the Pipedrive Notes API.

Entera

User / owner

maps to

Pipedrive

User

1:1
Fully supported

Entera user IDs on records are resolved by matching the owner's email address against Pipedrive user accounts. Unmatched owners are flagged before migration — your team either invites the user to Pipedrive or reassigns records to a designated fallback owner. No record lands without a Pipedrive user owner.

Entera

Workflow / automation

maps to

Pipedrive

Not migrated

1:1
Fully supported

Entera automations (e.g., stage-triggered emails, property listing alerts) do not have a Pipedrive equivalent and cannot be migrated automatically. FlitStack exports the Entera automation definitions as a structured JSON file so your Pipedrive admin can rebuild them in Pipedrive's automation builder.

Entera

Attachment / file

maps to

Pipedrive

File (via Activity or Note)

1:1
Fully supported

Files attached to Entera contacts, companies, or deals are downloaded and re-uploaded to Pipedrive as attachments on the corresponding Activity or Note record. Pipedrive's per-file size limit is 50 MB; files exceeding this are flagged for manual handling.

Entera

Create / update timestamps

maps to

Pipedrive

Custom datetime fields

1:1
Fully supported

Pipedrive's native CreatedDate and update_time fields reflect the migration run timestamp, not the original Entera creation or update date. FlitStack AI preserves the original Entera timestamps as custom datetime fields (Original_Create_Date__c, Original_Update_Date__c) on each record so historical reporting continuity is maintained and your team can sort and filter by when records were originally created in Entera.

Entera

Source system ID

maps to

Pipedrive

Custom field

1:1
Fully supported

The original Entera record ID is stored on each migrated Pipedrive record as Entera_Source_ID__c. This field enables delta-run de-duplication, ensuring that if a record is modified in Entera during the cutover window, FlitStack updates the existing Pipedrive record instead of creating a duplicate. The source ID also provides a permanent audit trail back to the original Entera system for compliance and reference purposes.

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.

Entera logo

Entera gotchas

High

No public API means migration requires support-coordinated exports

High

Custom fields are invisible in standard exports

Medium

Document attachments require separate download coordination

Medium

Marketplace data may not export cleanly without provider consent

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

  • Entera embeds company data inside the contact record — Pipedrive requires separate Person and Organization entities

    Entera stores the company name as a property on the contact record without a separate Company object. Pipedrive's data model requires Organizations as separate entities with their own name, website, and address fields, then links Persons to Organizations via an organization_id lookup. FlitStack AI extracts every unique company name from all Entera contacts, creates the corresponding Organization records in Pipedrive first, then updates each Person with the resolved organization_id. This dependency ordering matters — Organizations must exist before Persons can be linked, so the migration sequence runs Accounts before Contacts even though the source data is flat. If Entera stores multiple company associations per contact, the most-recently-modified company becomes the primary Organization link and the others are preserved as custom text fields for reference.

  • Entera investment-specific custom fields have no native Pipedrive equivalent and must be created manually before migration

    Real estate investment metrics like IRR, cap rate, investment type, ARV, repair cost, and property address are stored as custom properties in Entera. Pipedrive does not have native fields for any of these concepts — IRR and cap rate require Pipedrive's double field type, investment_type requires an enum field with value-mapping, and property_address requires a varchar field. Before data can migrate, FlitStack AI creates these custom fields in Pipedrive via the /dealFields and /personFields API endpoints, generating the 40-character hash keys that Pipedrive uses for custom field references. If Entera uses a field type that Pipedrive does not support (e.g., a multi-select array), the field is flagged for admin decision — it can be stored as a comma-separated varchar or as a Note attachment. Pipedrive's 16-field-type limit per entity covers all real estate investment field types, but custom fields must be pre-created or auto-created by the migration tool before record inserts can succeed.

  • Entera pipeline stages do not map automatically to Pipedrive stage names — value-by-value mapping is required per pipeline

    Entera deal stages (e.g., Under Review, Due Diligence, Contract Sent, Closing) are stored as flat string values on each deal record. Pipedrive stages exist within a specific Pipeline and have a stage_id, a display name, a probability percentage, and a position order. There is no automatic mapping between Entera stage labels and Pipedrive stage names — a value-mapping table must be built for each distinct Entera pipeline. If your Entera account has multiple pipelines (e.g., one for buy-side deals and one for sell-side), each requires its own Pipedrive Pipeline with its own set of stages. Pipedrive supports multiple pipelines, and each pipeline's stages are independent pick-lists. FlitStack AI surfaces the full list of distinct Entera stage values during the planning phase and asks your admin to confirm the Pipedrive stage_id each value maps to before the migration run executes.

  • Entera automations and sequences do not migrate — they must be rebuilt in Pipedrive's automation builder from an exported definition

    Entera automations trigger on investment-stage transitions, property listing updates, or investor action dates. Pipedrive Automations are condition-action rules built in Pipedrive's automation builder, and Pipedrive Sequences are separate email cadence tools. Neither construct has a direct equivalent in Entera, and there is no automated migration path between their automation formats. FlitStack AI does not migrate automation logic. Instead, before the migration run, we export your Entera automation definitions as a structured JSON file that includes trigger conditions, action types, and associated record filters. Your Pipedrive admin uses this file as a rebuild reference when configuring Pipedrive Automations. Property-triggered alerts that relied on Entera's event model need to be redesigned using Pipedrive's field-change triggers and notification actions.

  • Entera activity history (property tours, due-diligence notes) migrates as Pipedrive Activities but requires careful parent-record linking

    Entera logs investor calls, property tours, and due-diligence notes as activity records linked to a deal or contact. Pipedrive Activities are separate entities (call, meeting, task, deadline) that can be linked to a Person, Organization, or Deal via entity_type and entity_id parameters in the API. The migration must resolve the correct Pipedrive entity ID for each activity's parent record — which may not exist in Pipedrive yet if the parent-record migration step has not completed. FlitStack AI sequences the migration as Organizations → Persons → Deals → Activities to ensure parent records exist before child activities are linked. If an activity references a deal that was not migrated (e.g., it was filtered out), the activity is still migrated and attached to the most closely related Person as a fallback, with a note flagging the missing parent.

Migration approach

Six steps for a successful Entera to Pipedrive data migration

  1. Audit Entera data and map pipeline stages

    FlitStack AI connects to Entera with read-only API credentials and exports a full record dump: all Person, Organization (extracted from embedded company data), Deal, Activity, and custom field records. We identify every distinct deal stage label, every custom field name and type, and the count of records per entity. We also export workflow definitions as structured JSON. The output is a pre-migration audit report delivered to your admin for confirmation before any Pipedrive schema is created.

  2. Create Pipedrive pipelines, stages, and custom fields

    Before records are inserted, FlitStack AI creates the target Pipedrive schema: one or more Pipedrive Pipelines with the correct Stages (mapped from Entera deal stages), and all required custom fields (IRR__c, Cap_Rate__c, Investment_Type__c, Property_Address__c, Original_Create_Date__c, Original_Update_Date__c, Entera_Source_ID__c) via the /dealFields and /personFields API endpoints. Admin approves the field names and stage mapping table before this step runs. Pipedrive's API generates the 40-character hash keys for each custom field.

  3. Resolve owners and users by email

    Entera owner IDs on records are resolved against Pipedrive users by email address. For each Entera owner email that matches a Pipedrive user, the user_id is recorded and applied during record insertion. Owner emails with no corresponding Pipedrive user are flagged in the pre-migration report. Your team either invites those users to Pipedrive before the migration run or designates a fallback Pipedrive user to own those records. No record migrates without a resolved Pipedrive owner.

  4. Run a sample migration with field-level diff

    A representative slice of 100–500 records (spanning Persons, Organizations, Deals, and Activities) migrates first. FlitStack AI generates a field-level diff comparing source Entera values to destination Pipedrive values for every mapped field, including custom fields. You review the diff to verify stage mapping, owner resolution, custom field population, and activity linking. Any field mapping errors are corrected before the full run commits. This sample run is the checkpoint before cutover.

  5. Full migration run with delta pickup window

    The full record set migrates in dependency order: Organizations first (for foreign-key resolution), then Persons with organization_id links, then Deals with person_id and stage_id mapping, then Activities with parent record links. After the initial run completes, a 24–48 hour delta pickup window captures any records created or modified in Entera during the cutover period. All operations are logged in an audit trail. If reconciliation fails, one-click rollback reverts the Pipedrive account to its pre-migration state. After delta pickup closes, the migration is complete and your team can begin using Pipedrive as the system of record.

Platform deep dives

Context on both ends of the pair

Entera logo

Entera

Source

Strengths

  • AI + OCR document ingestion reduces manual data entry for accounting-heavy portfolios
  • Full-service marketplace connecting investors, sellers, and local service providers in one workflow
  • 100% investor control messaging appeals to owners wanting operational autonomy
  • Headquartered in NYC and Houston, serving US single-family investment market
  • Publicly traded (ENTX) with disclosed financials — accountability and transparency

Weaknesses

  • No publicly documented API — integrations require Entera support involvement
  • Small company (~106 employees, $6.3M revenue) raises long-term viability questions
  • Narrow vertical focus (single-family investors) limits use cases compared to broader CRE platforms
  • Limited third-party ecosystem and app marketplace compared to established CRMs
  • Pricing and tier structure not publicly published — requires direct sales inquiry
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. 1 of 8 objects need a manual workaround.

C

Overall complexity

Moderate migration

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

  • Object compatibility

    C

    1 of 8 objects need a manual workaround.

  • 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

    Entera: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Entera 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 Entera to Pipedrive data migrations

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

Can't find your answer?

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Most Entera-to-Pipedrive migrations run in 24–72 hours of clock time for setups under 5,000 records with fewer than 20 custom fields. Larger datasets with 50,000+ records or complex investment property custom fields (IRR, cap rate, investment type across multiple pipelines) extend to 5–10 days. The longest planning step is confirming the stage-mapping table and custom field creation plan with your Pipedrive admin before the migration run starts.

Adjacent paths

Related migrations to explore

Ready when you are

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