CRM migration
Field-level mapping, validation, and rollback between Payaca and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Payaca
Source
Pipedrive
Destination
Compatibility
7 of 10
objects map 1:1 between Payaca and Pipedrive.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Migrating from Payaca to Pipedrive is a structural remapping, not a record copy. Payaca's vertical data model for clean tech installers does not map directly to Pipedrive's generic People-Organizations-Deals architecture. We resolve the fixed-to-customizable pipeline mapping, handle clean tech custom fields for compliance tracking, permit management, and AHJ requirements, and work around Payaca's CSV export limitation by combining contact exports with project and invoice API queries. We sequence customer loads before project imports to satisfy Payaca's pre-existing customer ID dependency, flag Stripe payment reconciliation for independent export, and deliver automation configuration notes for manual rebuild in Pipedrive's workflow builder. Pipedrive's per-user pricing ($12-$79/user/month) replaces Payaca's flat-rate model ($444-$1,724/month) as the ongoing cost.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Payaca 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.
Payaca
Customer
Pipedrive
Person
1:1Payaca Customer records (names, addresses, contact information) map to Pipedrive Person. The Payaca customer list CSV export provides the base dataset, supplemented by additional API fields for phone numbers, email addresses, and custom field values. Payaca customer IDs are preserved in a custom field payaca_customer_id__c for audit trail and cross-reference. Persons are inserted before any related Deals to satisfy Pipedrive's data model dependency.
Payaca
Project
Pipedrive
Deal
1:1Payaca Projects are the central record in the source data model and map to Pipedrive Deals. Each Project's linked Customer ID resolves to a Pipedrive Person during migration, satisfying the deal_person_id reference. Stage history (Lead through Complete) maps to Pipedrive Stages, and automation triggers are documented for rebuild. Payaca's project-level custom fields (compliance, permit, AHJ requirements) map to Pipedrive Deal custom fields with type verification.
Payaca
Pipeline
Pipedrive
Pipeline + Stage
lossyPayaca's fixed pipeline stages (Lead, Survey, Quote, Install, Complete) map to Pipedrive Pipeline stages. We configure a single Pipeline in Pipedrive with stages matching Payaca's install lifecycle, preserving stage transition timestamps and order. Teams requiring multiple sales processes beyond installation can add Pipedrive pipelines post-migration.
Payaca
Item
Pipedrive
Product
1:1Payaca Items (quoted products and services including battery sizes, panel configurations, labor rates, and pricing) map to Pipedrive Products. ItemCode and pricing data migrate directly. Products must be created before Line Items or Deals with product associations can be inserted.
Payaca
Invoice
Pipedrive
Deal (with custom fields)
1:1Payaca Invoices map to Pipedrive Deals with invoice-specific custom fields capturing invoice number, line item details, payment status, and Stripe transaction references. Payaca's project-linked invoices require Deal creation before invoice data can populate. Invoice PDFs are flagged for separate extraction and manual re-upload to Pipedrive; the invoice record itself migrates with all metadata.
Payaca
Document
Pipedrive
Activity (Note)
1:1Payaca Documents (attached to Projects and Customers) migrate as Pipedrive Activity Note records linked to the parent Deal or Person. Document file references, signing status, and portal access links migrate as custom fields. Actual file binaries require separate download-and-reupload to Pipedrive's document storage or a linked cloud storage integration post-migration.
Payaca
Service Reminder
Pipedrive
Activity (Task)
1:1Payaca Service Reminders (scheduled reminders associated with Customers or Projects) map to Pipedrive Activities with due dates, associated Persons, and linked Deals. Reminder text migrates as the activity subject and notes field. Recurring reminder logic is documented for manual rebuild in Pipedrive's automation builder.
Payaca
Custom Field
Pipedrive
Custom Field
lossyPayaca Custom Fields for compliance tracking, permit management, and AHJ requirements map to Pipedrive Deal and Person custom fields. We verify field type compatibility (text, date, dropdown, checkbox) during discovery and flag any field types that require transformation. Multi-select or checkbox fields from Payaca map to Pipedrive dropdown or separate single-value fields based on the destination field type availability.
Payaca
Integration Configuration
Pipedrive
Integration Configuration
1:1Payaca integration references (QuickBooks, Xero, Stripe, OpenSolar, Gmail, Zapier) are documented as configuration notes. OAuth tokens, API credentials, and webhook endpoints cannot transfer between platforms. Stripe integration requires independent API export of payment transaction history and reconciliation data before the migration cutover.
Payaca
Automation Rule (template)
Pipedrive
Workflow (Pipedrive)
lossyPayaca templated automations (pipeline stage change triggers, tag-based triggers) are documented with their trigger conditions and actions for manual rebuild in Pipedrive's Automation section. Custom automations with multi-step conditional logic lack a native export format and are documented as configuration notes. Pipedrive's automation builder uses triggers (Deal moved to stage, Person updated) and actions (create activity, update field) to approximate the original behavior.
| Payaca | Pipedrive | Compatibility | |
|---|---|---|---|
| Customer | Person1:1 | Fully supported | |
| Project | Deal1:1 | Fully supported | |
| Pipeline | Pipeline + Stagelossy | Fully supported | |
| Item | Product1:1 | Fully supported | |
| Invoice | Deal (with custom fields)1:1 | Fully supported | |
| Document | Activity (Note)1:1 | Fully supported | |
| Service Reminder | Activity (Task)1:1 | Fully supported | |
| Custom Field | Custom Fieldlossy | Fully supported | |
| Integration Configuration | Integration Configuration1:1 | Fully supported | |
| Automation Rule (template) | Workflow (Pipedrive)lossy | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Payaca gotchas
CSV export only captures customer contact records
Project imports require pre-existing customer IDs
Automation rule portability is limited to templates
Stripe transaction fees are external to Payaca billing
Pipedrive gotchas
Custom field hash keys differ per account
Export access gated by visibility groups
Token-based API rate limits since December 2024
Sequences and Automations not exposed via REST API
Cost escalates via workflow caps and add-ons
Pair-specific challenges
Migration approach
Discovery and data audit
We audit the Payaca account for all objects: Customer records (with export method confirmation), Project records (volume and stage distribution), Item definitions, Invoice records (with payment status), Document file count and signing status, Custom Field definitions (field types and populated values), Pipeline stage configurations, Active automation rules (with trigger and action details), and Integration configurations (QuickBooks, Xero, Stripe, OpenSolar). We extract a customer CSV export and supplement with API queries for project, invoice, and custom field data. The discovery output is a written data inventory, a source data quality report (duplicate records, missing fields, incomplete addresses), and a migration scope confirmation.
Destination schema configuration
We configure Pipedrive in a sandbox or staging environment: a Pipeline with stages matching the Payaca install lifecycle (Lead, Survey, Quote, Install, Complete), Custom Fields on Person and Deal matching Payaca's compliance, permit, and AHJ requirement fields (with type verification), Activity types for Service Reminders, and a Product catalog from Payaca Items. We validate field type compatibility and document any Payaca field types that require transformation during mapping. The customer admin reviews and approves the schema configuration before production migration begins.
Sandbox migration and reconciliation
We run a full migration into the configured Pipedrive sandbox using production-like data volume. The customer admin reconciles record counts (Customers in, Deals in, Activities in), spot-checks 25-50 random records against the Payaca source, validates custom field population, and confirms stage transition history is preserved. Any mapping corrections, field type adjustments, or missing field flags are resolved in sandbox before production migration begins. This step prevents production data quality issues that are expensive to remediate after cutover.
Stripe and integration data export coordination
We initiate a parallel Stripe API export to extract payment transaction history, invoice payment links, and outstanding payment status. This export runs concurrently with sandbox reconciliation. For QuickBooks and Xero integration references, we document the configuration (account mappings, chart of accounts links, invoice sync rules) for manual rebuild in Pipedrive post-migration. Stripe export data is staged for mapping to Pipedrive invoice custom fields at production cutover.
Production migration in dependency order
We run production migration in record-dependency order: Persons first (from Payaca Customers), then Deals (with Person ID resolved and stage history preserved), Products (from Payaca Items), Deal custom fields (compliance, permit, AHJ values with type-mapped Pipedrive fields), Activities for Service Reminders, and Invoice metadata with Stripe payment references. Each phase emits a row-count reconciliation report before the next phase begins. We implement Pipedrive API rate limit handling (adaptive throttling, exponential backoff, burst limit tracking) throughout. A final delta pass captures any records modified during the migration window.
Cutover, validation, and automation handoff
We freeze Payaca writes during cutover, run a final delta migration, then enable Pipedrive as the system of record. We deliver a written automation inventory documenting every Payaca automation rule with its trigger, conditions, and actions, plus a recommended Pipedrive Automation rebuild approach. We support a one-week hypercare window where we resolve reconciliation issues raised by the customer's team. We do not rebuild Payaca automations as Pipedrive workflows inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Payaca
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Payaca and Pipedrive.
Object compatibility
3 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Payaca: Not publicly documented in available help resources.
Data volume sensitivity
Payaca doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
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FAQ
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