CRM migration
Field-level mapping, validation, and rollback between Contlo and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Contlo
Source
Pipedrive
Destination
Compatibility
8 of 10
objects map 1:1 between Contlo and Pipedrive.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Contlo to Pipedrive is a platform-type transition: Contlo is a marketing automation platform centered on Contacts and behavioral Segments, while Pipedrive is a pipeline CRM centered on People, Organizations, and Deals. We resolve this structural difference by mapping Contlo Contacts to Pipedrive People with Segment membership preserved as Tags, and by extracting Campaign engagement history (opens, clicks, conversions) as Activity notes and custom fields on the Person record. Contlo Segments themselves do not have a Pipedrive native equivalent; we convert segment rules to static tag groups and document the behavioral rules for manual rebuild in Pipedrive's automation builder. The Brand AI Model, Voice Agents, and automation branching logic are non-portable artifacts documented as action items for the customer's admin to re-create post-migration. Pipedrive's native migration tool does not support Contlo, so we use Pipedrive's REST API with batch chunking and rate-limit handling for the contact and deal import, with CSV fallback for Organizations and custom field data.
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 Contlo 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.
Contlo
Contact
Pipedrive
Person
1:1Contlo Contacts map directly to Pipedrive People. Email, name, phone, address, and custom properties migrate 1:1 to Pipedrive standard and custom Person fields. We use email as the dedupe key. Any Contlo Contact without an email address is held in a reconciliation queue; Pipedrive requires an email or name for Person creation via API. Segment membership is preserved as Tags on the Person record (see Segments mapping). Owner resolution uses email match against Pipedrive Users.
Contlo
Segment
Pipedrive
Tag (tag group)
1:manyContlo Segments are behavioral groupings used to target automations. Pipedrive has no native Segment object; we convert segment membership to static Tags on the Person record. Each Contlo Segment becomes a Tag with the segment name as the tag label. Segment rules (AND/OR filter logic, behavioral conditions) do not migrate as active rules; we document each segment's definition with its filter criteria so the customer's admin can rebuild equivalent Pipedrive filter views or automation triggers. Segment counts per contact are preserved in a custom field segment_count__c for reporting.
Contlo
Campaign (Email/SMS)
Pipedrive
Activity (Note or Task)
1:1Contlo Campaign metadata (name, type, status, send date) migrates as a Note attached to each Contact in the campaign audience. Campaign template content does not migrate as a reusable template in Pipedrive, which does not have a native email template library at Lite and Essential tiers. We deliver a written inventory of all campaign templates with subject lines and body content for manual re-creation in Pipedrive or an integrated email tool. Open, click, and conversion event data from Contlo's analytics export becomes custom fields on the Person record (last_email_open__c, last_email_click__c, conversion_date__c).
Contlo
Automation (Journey Flow)
Pipedrive
Workflow Automation
1:1Contlo automations are event-triggered sequences with branching, delays, and multi-step actions. Pipedrive automations use a trigger-action format with simpler branching. We extract each automation's trigger type, conditions, and action steps as structured data and deliver a written automation inventory with a recommended Pipedrive Workflow equivalent. Complex branching logic with multi-path conditions does not migrate as active Pipedrive automations and requires manual rebuild. The automation inventory includes trigger events, filter conditions, action types, and delay durations.
Contlo
Deal (Growth/Enterprise)
Pipedrive
Deal
1:1If the customer uses Contlo's Deal object (Growth and Enterprise tiers), Deals map to Pipedrive Deals with the Organization resolved via domain-matching or manual mapping during scoping. Deal stage, value, currency, expected close date, and owner migrate to Pipedrive standard Deal fields. Pipedrive Deal required fields (title, visible_to) are satisfied by the migration config. We flag any Contlo Deals without a linked Contact or Organization for manual resolution before import.
Contlo
Organization (if used)
Pipedrive
Organization
1:1Contlo does not have a native Organization object, but Company-level data can exist in custom fields on Contacts. If the customer has company-level data in Contlo, we extract unique company names and domains and create Pipedrive Organization records, then link the Contact's Person record to the Organization via the Organization ID resolved at migration time. This step is gated on whether the customer has company data in Contlo; we confirm during scoping.
Contlo
Product
Pipedrive
Product
1:1Contlo Products (if used in Deal line items) map to Pipedrive Products with name, code (SKU), and price. Products must be created in Pipedrive before Deal import if the Deals contain product line items, so that the Product ID reference is satisfied at migration time.
Contlo
Custom Property
Pipedrive
Custom Field
1:1Contlo custom fields on Contacts migrate to Pipedrive custom Person fields. We pre-create the custom field schema in Pipedrive before migration, using the closest Pipedrive field type: text for strings, number for integers, date for dates, single-select for enumerated strings, and multi-select for multi-value properties. Custom fields that do not map cleanly to a Pipedrive type are stored as a JSON blob in a text custom field with documentation of the original structure.
Contlo
Analytics / Event History
Pipedrive
Custom Fields on Person
1:1Contlo event-level data (opens, clicks, conversions) exports as CSV tied to Contact IDs. We map these to custom fields on the Pipedrive Person record: last_open_date__c, last_click_date__c, last_conversion_date__c, email_open_count__c, email_click_count__c, sms_open_count__c. The full event log CSV is delivered as a reference file for the customer to retain outside Pipedrive. Pipedrive's reporting does not natively consume time-series event data, so the CSV serves as the audit trail.
Contlo
Voice Agent Configuration
Pipedrive
N/A
lossyContlo Voice Agents are AI-driven phone agents built from Contlo's library. Agent configuration, voice settings, and routing logic are extracted as structured JSON data. Voice Agents have no Pipedrive equivalent; the configuration document is delivered as a handoff artifact for the customer's admin to evaluate in a contact center tool (e.g., Twilio Flex, Intercom, or a dedicated voice platform). Voice routing logic is documented but not migrated.
| Contlo | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Segment | Tag (tag group)1:many | Fully supported | |
| Campaign (Email/SMS) | Activity (Note or Task)1:1 | Fully supported | |
| Automation (Journey Flow) | Workflow Automation1:1 | Fully supported | |
| Deal (Growth/Enterprise) | Deal1:1 | Fully supported | |
| Organization (if used) | Organization1:1 | Fully supported | |
| Product | Product1:1 | Fully supported | |
| Custom Property | Custom Field1:1 | Fully supported | |
| Analytics / Event History | Custom Fields on Person1:1 | Mapping required | |
| Voice Agent Configuration | N/Alossy | 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.
Contlo gotchas
Free tier enforces 'Powered by Contlo' branding
Contact volume limits are tier-gated
Brand AI Model is non-portable
Automation branching logic may not translate 1:1
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 source data audit
We audit the source Contlo account for contact volume, segment definitions and membership counts, campaign history (active and archived), deal records (if applicable), custom field schema, automation inventory, and analytics export availability. We confirm whether the Brand AI Model is in active use (it will not migrate) and whether Voice Agents are in scope. We also identify the target Pipedrive plan (Lite, Essential, Advanced) based on the customer's deal pipeline count and automation volume requirements, since Pipedrive gates certain features per tier.
Pipedrive schema pre-creation
Before any data moves, we pre-create the Pipedrive custom field schema using the Pipedrive REST API. This includes all custom Person fields derived from Contlo custom properties, any Organization custom fields, and custom Deal fields. We also configure the Pipeline and stages in Pipedrive (if Deals are in scope), setting visible_to scope and stage probability values. This step validates that the target plan supports the custom field types needed before the customer commits to the migration scope.
Contact extraction and deduplication
We extract all Contacts from Contlo including standard properties (email, name, phone) and custom properties. We run a deduplication pass using email as the primary key, flagging duplicates for customer review before import. Segment membership is extracted as a separate lookup table (Contact ID to Segment name) for tag assignment. Any Contacts without email or name are held in a separate queue for manual resolution. We deliver a pre-migration data quality report showing record counts, duplicate rates, and missing-field rates.
Sandbox import and reconciliation
We run a test import into a Pipedrive Sandbox (or the production account with a test pipeline) using a subset of 100-500 records. We reconcile imported records against the source Contlo export: field-level match on name, email, phone; tag assignment confirmation; custom field population. The customer reviews the sample and approves mapping corrections before the full migration proceeds. Any schema mismatches (field type issues, required field gaps) are resolved at this stage.
Production migration in dependency order
We run the full migration in record-dependency order: Organizations first (if applicable), then People (with Tag assignment resolved from the segment lookup table), then Deals (with OrganizationId resolved), then Products, then custom field data via CSV or API batch. Each phase emits a row-count reconciliation report. We use Pipedrive's REST API with rate-limit handling and exponential backoff for all API-based inserts. Large custom field datasets use CSV import with field mapping validated against the pre-created schema.
Cutover, validation, and automation handoff
We freeze Contlo 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 inventory document (with Pipedrive Workflow recommendations), the brand AI Model handoff template, and the campaign template inventory. We support a five-business-day hypercare window where we resolve import discrepancies. We do not rebuild Contlo automations or Voice Agents as Pipedrive Workflows inside the migration scope; those are separate configuration engagements.
Platform deep dives
Contlo
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 Contlo 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
Contlo: Not publicly documented.
Data volume sensitivity
Contlo 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.
Category
FAQ
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