CRM migration
Field-level mapping, validation, and rollback between Wetroo and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Wetroo
Source
Pipedrive
Destination
Compatibility
6 of 10
objects map 1:1 between Wetroo and Pipedrive.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Wetroo to Pipedrive requires resolving two structural gaps that do not exist in most CRM-to-CRM migrations. First, Wetroo's API does not publish rate limits, so we run extraction during off-peak hours with dynamic exponential backoff to avoid undocumented throttling mid-project. Second, WhatsApp conversation history lives in WhatsApp's infrastructure, not Wetroo's database, so the actual chat threads are not migratable — only the structured Contact, Lead, and Deal records that originated from those conversations transfer. We preserve stage names, owner assignments, and custom field values across both platforms, and we deliver an automation playbook inventory that the customer's team rebuilds in Pipedrive Workflows. Wetroo's per-owner pricing converts to Pipedrive's per-seat model, which we surface during scoping so there are no billing surprises after cutover.
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 Wetroo 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.
Wetroo
Contact
Pipedrive
Person
1:1Wetroo Contact records with name, phone, email, and custom fields map directly to Pipedrive Person objects. Phone number formats vary by region; we apply E.164 normalization during transformation. Wetroo's contact owner (assigned via WhatsApp workflow) maps to Pipedrive's owner_id field by email match. Any contact record without an email address is flagged in the reconciliation report and held for manual verification because Pipedrive's Person deduplication relies on email as the primary key.
Wetroo
Lead
Pipedrive
Lead
1:1Wetroo Lead records (captured through WhatsApp conversations and qualified via Wetroo's lead qualification workflows) map directly to Pipedrive Lead. Lead status, source, and qualification score migrate as custom fields on the Pipedrive Lead because Pipedrive's standard Lead object uses its own Status field with predefined values. The lead_source custom field preserves attribution.
Wetroo
Deal
Pipedrive
Deal
1:1Wetroo Deals map to Pipedrive Deals with deal title, value, currency, expected close date, owner, and associated contact preserved. Wetroo deal stages map to Pipedrive Pipeline stages during the mapping phase, with customer confirmation required because Wetroo stage names are customer-defined and tied to WhatsApp workflow triggers that have no Pipedrive equivalent.
Wetroo
Pipeline
Pipedrive
Pipeline
lossyWetroo's single pipeline with custom stage names maps to a Pipedrive Pipeline that we create during schema setup. Stage order and probability values migrate from Wetroo to Pipedrive. If Wetroo's pipeline uses WhatsApp-specific stage triggers (e.g., auto-advancing on message open), we document the trigger conditions for manual rebuild in Pipedrive Workflows.
Wetroo
Pipeline Stage
Pipedrive
Pipeline Stage
lossyWetroo pipeline stages are customer-defined with no standard nomenclature. We preserve the original stage sequence and names as a custom field on the Pipedrive Deal for audit, then map to Pipedrive stage values that match the customer's sales process. Stages with no clear Pipedrive equivalent are flagged for customer selection during scoping.
Wetroo
Custom Field (Contacts, Leads, Deals)
Pipedrive
Custom Field
lossyWetroo custom fields on Contacts, Leads, and Deals are discovered via API before migration, documented in the field mapping workbook, and recreated in Pipedrive with matching field types (text, number, date, dropdown, checkbox). Pipedrive's custom field API supports the same field types; type mismatches (e.g., Wetroo stores a date as text) are resolved during the transform step before insert.
Wetroo
User / Owner
Pipedrive
User
1:1Wetroo owners assigned to Deals and Leads map to Pipedrive Users by email match. Owner name and email extract from Wetroo's owner record. Any Wetroo owner without a matching Pipedrive User is held in the reconciliation queue for the customer's admin to provision before Deal and Lead import begins.
Wetroo
Team
Pipedrive
Team (custom)
lossyWetroo's per-owner pricing includes team assignment records. Team names and member lists are extracted as a relational export and re-created in Pipedrive as a custom configuration. Pipedrive's native team feature is scoped to the Enterprise plan; on lower plans we recreate team membership as a custom field on each Person record.
Wetroo
Automation Sequence / Playbook
Pipedrive
Workflow (documented, not migrated)
1:1Wetroo automation playbooks and sequence triggers are JSON-configured workflows tied to WhatsApp events. These do not map to Pipedrive Workflow format without manual reimplementation. We export playbook definitions (sequence names, trigger conditions, step definitions) as a structured reference document included in the migration package. The customer rebuilds automations in Pipedrive's Workflow builder using the inventory as their guide.
Wetroo
WhatsApp Conversation
Pipedrive
Not migratable
1:1WhatsApp conversation history and chat transcripts are stored in WhatsApp's infrastructure, not Wetroo's database, and are not accessible via the Wetroo API or any export mechanism. We preserve all structured Contact, Lead, and Deal records that originated from conversations, but the conversation threads themselves cannot transfer. Customers who require chat history should export directly from WhatsApp before the migration cutover date.
| Wetroo | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline | Pipelinelossy | Fully supported | |
| Pipeline Stage | Pipeline Stagelossy | Fully supported | |
| Custom Field (Contacts, Leads, Deals) | Custom Fieldlossy | Fully supported | |
| User / Owner | User1:1 | Fully supported | |
| Team | Team (custom)lossy | Fully supported | |
| Automation Sequence / Playbook | Workflow (documented, not migrated)1:1 | Fully supported | |
| WhatsApp Conversation | Not migratable1:1 | 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.
Wetroo gotchas
No documented public API rate limits or quota structure
WhatsApp conversation history is not exportable from Wetroo
Automation sequences do not transfer 1:1 to destination CRMs
Support SLA and escalation paths are undocumented
Pricing page uses INR; annual discounts are tiered inconsistently
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 migration scope definition
We audit Wetroo's API endpoints, confirming export scope for Contacts, Leads, Deals, Pipeline Stages, custom fields, owner records, and team assignments. We verify which Wetroo plan the customer is on to confirm available feature access, and we identify any custom fields not visible in the UI but present in the API response. We also document the customer's current Wetroo pipelines and stage names so we can map them during the transform phase. This output is a written migration scope document that the customer reviews and approves before extraction begins.
API extraction with dynamic backoff
We extract all migratable objects from Wetroo via API using paginated requests and field-level selects. Because Wetroo does not publish rate limits, we run extraction during off-peak hours and monitor for HTTP 429 responses, applying exponential backoff dynamically when throttling occurs. We extract Contacts, Leads, Deals, Pipeline Stages, custom field values, owner records, and team membership data as separate relational datasets. We do not extract WhatsApp conversation history as it is not accessible via the Wetroo API. We flag any records with missing required fields (particularly contacts without email addresses) in the extraction report for customer resolution.
Data quality and deduplication
We run deduplication on extracted Contacts (primary key: email) and Leads before import into Pipedrive. Duplicate records in Wetroo become duplicate records in Pipedrive with broken associations if not cleaned before migration. We also standardize phone number formats to E.164, validate email addresses, and flag deals with no owner for customer resolution before insert. The customer approves the cleaned dataset before Pipedrive schema creation begins.
Pipedrive schema setup
We configure Pipedrive before any data inserts: creating Pipedrive Pipelines to match Wetroo's stage structure, defining stage names and probability values per the customer's confirmed mapping, recreating Wetroo custom fields with matching field types, and provisioning Pipedrive Users for each Wetroo owner by email. Pipedrive's custom field types must match the source data type exactly; we resolve any type mismatches during the transform step. Schema setup runs in a Pipedrive sandbox or trial org first for validation.
Sandbox migration and reconciliation
We run a full migration into a Pipedrive sandbox using production data volumes to validate record counts, field mappings, and stage assignments. The customer's sales operations lead spot-checks 25-50 randomly selected records against the Wetroo source, verifies that Deals are assigned to the correct owners, and confirms that pipeline stages match expectations. Any mapping corrections are applied before production migration begins. This step prevents irreversible data issues in production.
Production migration in dependency order
We run production migration in record-dependency order: Pipedrive Users (validated from owner records), Persons (from Contacts, with email deduplication), Leads (from Wetroo Leads), Deals (with owner_id and pipeline resolved), custom field values (populated after parent records exist), and team membership records (as custom fields on Person). Each phase emits a row-count reconciliation report before the next phase begins. We use Pipedrive's bulk API with chunking and backoff to avoid rate limit pressure during insert.
Cutover, validation, and automation handoff
We freeze Wetroo writes during cutover, run a final delta migration of any records modified during the migration window, then mark Pipedrive as the system of record. We deliver the automation playbook inventory document to the customer's admin team, documenting every Wetroo automation sequence with its trigger conditions and recommended Pipedrive Workflow equivalent. We support a one-week hypercare window for reconciliation issues. We do not rebuild Wetroo automations in Pipedrive Workflows as part of the migration scope; that work is handled by the customer's admin or a Pipedrive partner.
Platform deep dives
Wetroo
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 Wetroo 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
Wetroo: Not publicly documented.
Data volume sensitivity
Wetroo exposes a bulk API — large-volume migrations stream efficiently.
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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