CRM migration

Migrate from Agillic to Pipedrive

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

Agillic logo

Agillic

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

45%

5 of 11

objects map 1:1 between Agillic and Pipedrive.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Agillic to Pipedrive is a platform-class migration: Agillic is a Nordic omnichannel marketing automation system built around a fully customisable Recipient schema, while Pipedrive is a sales CRM with a fixed People-Organisations-Deals structure. The core migration challenge is that Agillic Recipients with no company association cannot enter Pipedrive as Contacts without first being linked to an Organisation record, and Agillic's custom recipient properties require mandatory field enumeration before any mapping can begin. We extract Recipients and all active custom fields via the Recipient API, resolve Organisations from email domains and manual lookup tables, map Global Data Tables to Pipedrive custom objects or label-based lookup records, and migrate Activity history as Activity records with timestamps. Agillic Flows, audience segments synced to Google and Meta, and Flow Execution IDs do not migrate as automation logic — we deliver a written inventory of each for the customer's admin to rebuild in Pipedrive's Workflows or paid media activation tools.

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

Agillic logo

Agillic

What's pushing teams away

  • Rate limits and API quotas are not publicly documented, creating uncertainty for teams planning large-scale data migrations or integrations.
  • The platform's heavy reliance on developer configuration for data synchronisation, custom flow elements, and content templates means marketing teams without technical support encounter bottlenecks.
  • Complex workflow logic built by developers becomes difficult for non-technical marketers to modify independently, limiting operational agility.
  • Exporting Activity data requires external analysis tools; Agillic itself lacks built-in advanced analytics dashboards for post-campaign insight generation.

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 Agillic objects map to Pipedrive

Each row shows how a Agillic 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.

Agillic

Recipient

maps to

Pipedrive

Person (Contact or Lead) + Organisation

1:many
Fully supported

Agillic Recipients with a company attribute resolve to Pipedrive Contact linked to a pre-created Organisation. Recipients with no company attribute must be evaluated: if the recipient is a known sales prospect, we create a Pipedrive Lead; if they are a marketing-only contact with no sales intent, we create a Person record with a placeholder Organisation to satisfy Pipedrive's required Organisation link on Contacts. All custom recipient properties enumerated during discovery map to Pipedrive custom fields on Person, with field type matched to Agillic's property data type (text, number, date, checkbox, dropdown). We preserve the original Agillic recipient ID in a custom field agillic_recipient_id__c for audit.

Agillic

Recipient custom properties

maps to

Pipedrive

Person custom fields

lossy
Fully supported

Agillic allows clients to define arbitrary custom properties on Recipients with no fixed schema. During discovery we enumerate every active recipient property via the Recipient API or Recipients Export. Each property becomes a Pipedrive custom field with a matched type: text strings become text fields, dates become date fields, multi-select options become multi-select picklists, and numeric values become number fields. This enumeration step is mandatory — any property not identified during discovery is silently excluded from migration.

Agillic

Organisation (derived from Recipient company attribute)

maps to

Pipedrive

Organisation

1:1
Fully supported

Agillic Recipients with a company name attribute become Pipedrive Organisations. We resolve Organisation name from the recipient's company field, use it as the Organisation name, and deduplicate by exact match on name. Email domain extraction from recipient email addresses provides a secondary Organisation resolution strategy where company field values are inconsistent. Organisations are created before any Person import so that the Organisation-Contact lookup relationship is satisfied at the moment of Contact insert.

Agillic

Global Data Table

maps to

Pipedrive

Custom Object or Activity note

lossy
Fully supported

Agillic Global Data Tables are custom relational data structures referenced within Flows. We export table schemas and all row data, then map to Pipedrive custom objects (API name appended with __c) created before migration begins. Tables with fewer than 1,000 rows and no cross-reference dependencies may alternatively be migrated as Activity notes attached to the relevant Person or Organisation, with a note type label indicating the original table name. The customer selects the strategy during scoping based on whether downstream Flows reference these tables.

Agillic

Flow Execution ID

maps to

Pipedrive

Custom field on Activity

1:1
Fully supported

The Agillic Flow Execution ID uniquely identifies each campaign trigger instance and is appended to Activity Exports when the export setting is enabled in Agillic. We preserve this ID in a custom field agillic_flow_execution_id__c on Pipedrive Activity records. This allows matching activity records back to specific Agillic campaign runs during post-migration audit. The field has no Pipedrive-native equivalent and exists solely as a reference for reconciliation.

Agillic

Activity Log (email sends, opens, clicks, bounces)

maps to

Pipedrive

Activity (Task or Event)

1:many
Fully supported

Agillic email activity events (send, open, click, bounce, unsubscribe) map to Pipedrive Activity records of type Task. The Agillic event type becomes the Activity subject (e.g., 'Email Sent — [Campaign Name]') and the timestamp preserves the original event time. Channel attribution (email vs SMS vs push) is stored as a custom field on the Activity because Pipedrive does not have a separate channel entity. Historical open and click data is migrated as discrete Activity records, not aggregated, to preserve the full engagement timeline.

Agillic

Activity Log (SMS delivery, SMS click)

maps to

Pipedrive

Activity (Task)

1:1
Fully supported

Agillic SMS activity events map to Pipedrive Activity records with the same Task model. SMS delivery status (delivered, failed, undelivered) migrates as a custom field on the Activity record. SMS message content migrates as the Activity note body for reference. Because Pipedrive does not natively support SMS as a channel type, we create a custom picklist field activity_channel__c with value 'SMS' to preserve channel attribution across all migrated activities.

Agillic

Activity Log (event triggers)

maps to

Pipedrive

Activity (Event)

1:1
Fully supported

Agillic event-trigger activities (custom events fired within Flows) map to Pipedrive Event records when the original event has a start and end time. Events without a time component map to Task records. Event metadata (event name, associated Flow, trigger conditions) migrates to the Event description field and custom fields. Pipedrive Events do not support the same custom attribute depth as Agillic events, so we flatten event metadata into text fields.

Agillic

Flow (campaign automation)

maps to

Pipedrive

Workflow (Pipedrive)

lossy
Fully supported

Agillic Flows are campaign automation logic stored as internal execution configurations. There is no documented export endpoint to retrieve Flow logic as a portable definition. We export Flow names, associated trigger event types, and Activity history tied to Flow Execution IDs as a written inventory. The actual branching logic, conditions, and wait-step configurations must be manually recreated in Pipedrive's Workflow builder. This is a re-implementation effort, not a data migration, and we deliver the full inventory to the customer's admin team.

Agillic

Recipients Export (full snapshot)

maps to

Pipedrive

Person import (CSV or API)

1:1
Fully supported

Agillic's Recipients Export generates a snapshot file of all recipient records and their current field values. We use this as a baseline for full-contact migrations, then reconcile against API data to identify records modified since the export timestamp. The snapshot approach is preferred for large databases (over 50,000 records) because it avoids repeated API pagination that risks hitting Agillic's undocumented rate limits. We cross-validate exported records against API-fetched records during scoping to confirm data completeness.

Agillic

Audience segment (Google/Meta sync)

maps to

Pipedrive

Custom label and manual rebuild

lossy
Fully supported

Agillic can export micro-audience segments to Google and Meta in real time. We capture audience definition logic, membership criteria, and sync frequency from the Agillic configuration and deliver it as a written specification for recreation in Google Ads Audience Manager or Meta Business Manager. Real-time sync does not migrate; the customer recreates the audience segments in the destination paid media platforms post-migration. We flag any active suppression list as a priority rebuild item to prevent unintended audience reactivation.

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.

Agillic logo

Agillic gotchas

High

Undocumented API rate limits complicate bulk migration planning

High

Fully custom schema requires mandatory field enumeration during discovery

Medium

Flows are not exportable as portable workflow definitions

Medium

Activity Export requires explicit Flow Execution ID enablement

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

  • Custom schema requires mandatory field enumeration before mapping

    Agillic allows clients to define arbitrary custom properties on Recipients with no fixed data model. Each client's schema is unique, and there is no single documented list of all possible fields. We cannot begin mapping until we have enumerated every active recipient property via the Recipient API or a Recipients Export. Missing fields during migration result in silent data loss for those attributes. We treat enumeration as a required discovery step and do not proceed to schema design without a complete property list. This adds one to three days to scoping for clients with complex custom schemas.

  • Recipients without Organisation require disambiguation before import

    Pipedrive requires a Contact to be linked to an Organisation record. Agillic Recipients frequently have no company attribute, particularly in marketing and newsletter databases. We resolve this by creating a placeholder Organisation (named 'Unspecified Organisation') or by creating a Pipedrive Lead instead of a Contact for recipients with no company context. The customer must decide during scoping which strategy applies to their data: a Lead-only model for marketing databases or a placeholder Organisation strategy for sales-relevant records. Skipping this decision results in import failures because Pipedrive rejects Contacts without an Organisation ID.

  • Agillic API rate limits are not publicly documented

    Agillic's REST API is rate limited per production instance per day, but the specific thresholds are not publicly documented. During a migration, if we exceed these limits the API returns 429 errors and stops accepting requests. We handle this by implementing exponential backoff and using the WebDAV/SFTP Activity Export endpoints as a parallel ingestion path when API calls are throttled. We recommend requesting Agillic support to confirm current rate limit values before scoping a large-volume migration. This is not a migration blocker but does affect the sequencing of bulk exports.

  • Flow Execution ID must be enabled before Activity Export

    The Flow Execution ID is not included in Agillic Activity Exports by default — it must be explicitly enabled under Settings > System Settings > Export > Activity Exports. If this setting is off during the export period, we lose the ability to tie activity records to specific campaign runs, making journey reconstruction significantly harder. We check this setting on both staging and production during discovery and request the client enables it before exporting historical data. If the setting was disabled during the historical period, Flow Execution IDs are not recoverable.

  • Pipedrive API bulk import limits require chunked processing

    Pipedrive's API imposes per-request record limits and daily rate limits on bulk import operations. Migrations with over 100,000 records require chunked processing with sequential API calls and reconciliation between chunks. We use Pipedrive's bulk API endpoints with batch sizes of 100-500 records per request, exponential backoff on 429 responses, and a reconciliation pass after each chunk to confirm record counts match the source. Pipedrive's per-user pricing does not include unlimited API calls; Enterprise tier includes higher API rate limits that we factor into migration scheduling for large accounts.

Migration approach

Six steps for a successful Agillic to Pipedrive data migration

  1. Discovery and field enumeration

    We audit the source Agillic instance to enumerate every active recipient property, identify Global Data Tables and their row counts, confirm the Flow Execution ID export setting status, and estimate total record volumes across Recipients, Activity logs, and audience segments. We also assess the Organisations strategy: whether to derive Organisations from recipient company fields and email domains, or to use a placeholder approach for recipients with no company context. The discovery output is a written migration scope with a complete field list, object mapping draft, and Organisation resolution strategy.

  2. Schema design in Pipedrive

    We design the destination Pipedrive schema based on the enumeration output. This includes creating custom fields on Person (Contact and Lead) for every Agillic custom recipient property, creating custom objects or lookup structures for Global Data Tables, and configuring custom picklist fields for activity channel attribution. Pipedrive custom fields follow the __c naming convention. Schema is deployed into a Pipedrive Sandbox org first for validation before production migration begins.

  3. Sandbox migration and reconciliation

    We run a full migration into a Pipedrive Sandbox using a representative data sample (typically 500-2,000 records per object type). The customer's admin reviews the migrated records against the Agillic source, checks custom field population, verifies Organisation-Contact linkage, and spot-checks Activity timestamps. We correct any mapping errors in the Sandbox before production migration. Sandbox migration also validates that Pipedrive validation rules and required field constraints do not block the import.

  4. Organisation resolution and Recipient migration

    We extract all Recipients and resolve Organisation records. For Recipients with a company attribute, we create or match Organisation records in Pipedrive. For Recipients without a company attribute, we apply the agreed-upon strategy (Lead creation or placeholder Organisation). We migrate Recipients in batches of 100-500 via Pipedrive's bulk API, with the Agillic recipient ID preserved in a custom field for reconciliation. Each batch is reconciled against source record counts before the next batch begins.

  5. Activity history migration

    We migrate Activity history (email events, SMS events, event triggers) as Pipedrive Activity records using bulk API endpoints. Activities are linked to the migrated Person records using the preserved Agillic recipient ID as a lookup key. The Flow Execution ID is stored in a custom Activity field for campaign attribution. We process Activities in date-range batches to manage API volume and apply exponential backoff on 429 responses. Channel attribution (email, SMS, push) is set via a custom picklist field since Pipedrive does not have a native channel entity.

  6. Cutover, validation, and automation handoff

    We freeze Agillic writes during cutover, run a final delta migration of any records modified during the migration window, then enable Pipedrive as the system of record. We deliver the Flow inventory (names, trigger events, associated Flow Execution ID ranges) and audience segment specifications to the customer's admin team for rebuild in Pipedrive Workflows and paid media platforms. We support a five-day hypercare window to resolve reconciliation issues. Workflow rebuilds, Flow recreation, and paid media audience reconfiguration are outside standard migration scope.

Platform deep dives

Context on both ends of the pair

Agillic logo

Agillic

Source

Strengths

  • Fully customisable recipient schema with no fixed field constraints.
  • Native omnichannel support: email, SMS, push, print, paid media, and point-of-sale.
  • GDPR compliance built-in with annual independent security audits.
  • Staging and production separation for safe campaign testing.
  • Real-time audience activation to Google and Meta.

Weaknesses

  • API rate limits are not publicly documented, complicating migration planning.
  • Heavy developer dependency for data sync, custom flows, and content templates.
  • No built-in advanced analytics — requires external BI tools for activity analysis.
  • Workflows (Flows) are tightly coupled to Agillic's execution engine, making cross-platform migration requires reimplementation.
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?

Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

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

  • Object compatibility

    B

    3 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

    Agillic: Not publicly documented — limited per production instance per day.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Agillic 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 Agillic to Pipedrive data migrations

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

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Most migrations land between three and five weeks for accounts under 15,000 Recipients with fewer than 50 custom fields and no Global Data Tables. Migrations with extensive custom schemas (over 100 recipient properties), Global Data Tables with over 20,000 rows, complex Organisation lookups requiring manual matching, or Activity histories exceeding 300,000 records move to eight to twelve weeks because of enumeration, transform design, and chunked API processing time. Pipedrive Sandbox validation and customer review cycles add one to two weeks to the schedule.

Adjacent paths

Related migrations to explore

Ready when you are

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