CRM migration

Migrate from Actito to Pipedrive

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

Actito logo

Actito

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

40%

4 of 10

objects map 1:1 between Actito and Pipedrive.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Actito and Pipedrive serve different operational layers. Actito is a marketing automation platform built around a customizable Profile data model with multi-channel campaign orchestration and scenario-based automation. Pipedrive is a sales CRM centered on pipeline management, deal tracking, and activity logging. The migration therefore requires careful record-type selection: Actito Profiles with sales-relevant attributes land as Pipedrive Persons and Organizations; Custom Tables that describe accounts or deals map to custom fields; campaign configurations do not migrate because Pipedrive has no campaign object; scenarios and automated workflows are documented for rebuild rather than transferred as code. We use Actito's ETL export jobs and REST API (respecting the 100 calls/min rate limit) to extract Profiles and Custom Tables in gzip-compressed CSV, then load into Pipedrive via the Pipedrive REST API using bulk inserts with parent-record resolution for Person-to-Organization links.

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

Actito logo

Actito

What's pushing teams away

  • Segmentation builder is cumbersome — G2 reviewers consistently flag the segment-building interface as non-streamlined, with multi-step workflows that slow teams down compared to lighter-weight tools like Mailchimp or Brevo.
  • Steep learning curve for non-power users — multiple reviews note the platform is feature-dense and takes time to master, which becomes a problem for teams with high marketer turnover or those who only need surface-level functionality.
  • Pricing is sales-led with no transparent published tiers — buyers comparing Actito against Mailchimp, Brevo, or Customer.io often cite the demo-only pricing path and higher floor as friction during procurement.
  • Integration deployment time — connector configuration and rollout is reported as slow, which pushes teams toward platforms with larger pre-built integration marketplaces (HubSpot, Emarsys) when timelines are tight.
  • Complexity is overkill for small teams — startups and SMBs comparing Actito to Mailchimp or Brevo find the platform's customization depth and entity model unnecessary for simpler email and SMS use cases at a fraction of the cost.

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 Actito objects map to Pipedrive

Each row shows how a Actito 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.

Actito

Profile

maps to

Pipedrive

Person

1:1
Fully supported

Actito Profile records map directly to Pipedrive Person. All standard profile attributes (first name, last name, email, phone, address) migrate as typed fields. Custom profile attributes migrate to Pipedrive custom fields on Person. The Profile's entity assignment maps to a Pipedrive Pipeline or a custom field for multi-entity partitioning when the customer's Actito licence spans B2C and B2B populations.

Actito

Profile

maps to

Pipedrive

Organization

1:1
Fully supported

Actito Profiles linked to a Company relationship (via a Profile-to-Company attribute) map to Pipedrive Organization. We inspect the relationship definition during scoping, extract the related Company name and attributes from the relevant Custom Table, and create the Organization record before the Person import so that Person.organization_id is satisfied at insert time.

Actito

Custom Table (Account-like)

maps to

Pipedrive

Organization

1:many
Fully supported

Actito Custom Tables describing companies (billing details, company size, industry classification, account tier) map to Pipedrive Organization custom fields. When a single Actito Custom Table contains multiple rows per Profile, we flatten the most recent or highest-priority row into Organization fields and flag additional rows for reconciliation.

Actito

Custom Table (Deal-like)

maps to

Pipedrive

Deal

1:many
Fully supported

Actito Custom Tables describing subscription details, product lines, or financial records map to Pipedrive Deal. Each Custom Table row referencing a Profile creates a Deal record. The Deal title derives from the Custom Table name plus a record identifier. Custom Table fields map to Deal custom fields. Deal stage and probability derive from a configuration mapping table provided by the customer during scoping.

Actito

Custom Table (Arbitrary)

maps to

Pipedrive

Person or Organization custom fields

lossy
Fully supported

Actito Custom Tables with non-account and non-deal schemas (product preferences, behavioral attributes, service history) map to custom fields on the parent object (Person or Organization). We inspect field types during scoping and translate Actito field types to Pipedrive-supported equivalents: string to text, integer to int, decimal to currency or double, date to date, boolean to checkbox.

Actito

Subscriptions and Preferences

maps to

Pipedrive

Person

1:1
Fully supported

Profile-level opt-in status, double opt-in confirmation date, and channel consent flags migrate to Pipedrive Person. The GDPR compliance flag from Actito maps to a Person custom field and the email opt-out status maps to HasOptedOutOfEmail. We preserve the full preference tree as structured custom fields when Pipedrive's standard fields do not capture channel-level granularity.

Actito

Campaign Configuration (metadata)

maps to

Pipedrive

Note

lossy
Fully supported

Actito campaign names, targeting criteria, and schedule metadata do not have a direct Pipedrive equivalent because Pipedrive has no campaign execution object. We migrate campaign configuration as a structured Note attached to the relevant Person or Deal so that admins have an audit trail of the original campaign assignment. The actual campaign content (email body, SMS template) does not transfer.

Actito

Scenario (automation workflow)

maps to

Pipedrive

None

1:1
Fully supported

Actito Scenarios (event-triggered automation workflows) do not migrate to Pipedrive Workflows because the trigger models differ: Actito uses event-based conditions on Profile attributes; Pipedrive Workflows use CRM record triggers (deal stage change, activity creation). We deliver a written Scenario inventory with trigger descriptions, action steps, and Pipedrive Workflow equivalents for the customer's admin to rebuild.

Actito

Engagement: Email, SMS, Push

maps to

Pipedrive

Activity (Note or Person field)

lossy
Fully supported

Actito engagement records (opens, clicks, sends) are generated by Actito's platform during campaign execution and are not available for programmatic export. We do not migrate engagement interaction events. We migrate any manually logged activities from Actito (as notes or tasks) to Pipedrive Activity records attached to the Person.

Actito

Entity

maps to

Pipedrive

Pipeline

lossy
Fully supported

Actito's Entity-based licence partitioning maps to Pipedrive Pipelines when the customer uses multiple Actito entities for separate lines of business (e.g., B2C vs B2B). We create a Pipedrive Pipeline per Actito Entity and map each Profile's entity assignment to the target Pipeline. If only one Pipeline is needed, entity assignment is stored as a Person or Deal custom field.

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.

Actito logo

Actito gotchas

High

API rate limit of 100 req/min is restrictive for bulk migration

Medium

V4 deprecation overlap requires migration path sequencing

Medium

Push notification migration excludes campaign history

Medium

Maximum 5 API keys per licence constrains parallel migration workers

Low

Excel export row limitation conflicts with large dataset expectations

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

  • Actito Profiles do not split cleanly into Pipedrive Persons and Organizations

    Actito's Profile is a unified record that may contain both individual contact data and company data depending on the customer's data model design. Pipedrive requires an explicit Organization record for company-level data and a Person record for contact-level data. We inspect the Actito Profile schema during discovery to identify which fields belong to the person versus the account, extract company-related fields into a lookup table, and create Organization records before Person records so that the Person.organization_id reference is satisfied. Migrations that skip this step end up with Person records lacking Organization linkage and duplicate company data scattered across Person notes.

  • Actito API rate limits restrict bulk extraction throughput

    Actito's API enforces 100 calls per minute and a maximum of 5 concurrent requests per licence. During Profile and Custom Table extraction, this rate cap significantly extends export duration. We address this by using Actito's ETL export jobs for large volume data rather than looping API calls, chunking exports into batches of 1,000 records with controlled polling intervals, and scheduling large exports during off-peak hours. We also recommend requesting a temporary rate-limit increase through Actito support before migration begins. Custom Tables with millions of rows may require multi-day export windows.

  • Actito campaign and scenario configurations do not transfer to Pipedrive

    Actito's multi-channel campaign configurations (email, SMS, push, print, web) have no direct Pipedrive equivalent because Pipedrive is a sales CRM without campaign execution capability. Similarly, Actito Scenarios (automated workflows) use event-triggered logic that does not map to Pipedrive's CRM-record-triggered Workflows. We document every Actito campaign and Scenario in a written handoff inventory with descriptions, targeting criteria, and Pipedrive Workflow rebuild recommendations. The customer's admin rebuilds these post-migration.

  • Actito Custom Tables may require flattening for Pipedrive's relational model

    Actito Custom Tables are user-defined schemas that can contain multiple rows per Profile with arbitrary relationships. Pipedrive's custom fields are single-valued per record. When an Actito Custom Table contains multiple rows per Profile (e.g., multiple product subscriptions, multiple address records, or multi-row order history), we must decide whether to create multiple Deal records, store the most recent row only, or concatenate rows into a notes field. We surface this decision during scoping and the customer chooses the strategy before migration.

  • Pipedrive custom field limits vary by plan

    Pipedrive's custom field limits depend on the plan tier. Pipedrive's knowledge base states that the number of custom fields varies by plan after recent plan restructuring. We verify the customer's Pipedrive plan during scoping and ensure that the total custom field count (Person, Organization, Deal combined) does not exceed the plan limit. If limits are exceeded, we prioritize fields for migration and flag remaining fields for plan upgrade or manual re-entry post-migration.

Migration approach

Six steps for a successful Actito to Pipedrive data migration

  1. Discovery and Actito schema audit

    We audit the Actito portal across all active entities, Profile schemas, Custom Table definitions, relationship configurations, and entity-partitioning assignments. We identify which Custom Tables are account-like (map to Organization), deal-like (map to Deal), or arbitrary (map to custom fields). We count Profiles per entity, rows per Custom Table, and manually logged activities. We also extract the Scenario inventory and campaign configuration list for the handoff document. The discovery output is a written migration scope document and a recommended Pipedrive plan tier.

  2. Pipedrive schema design and custom field provisioning

    We design the Pipedrive schema based on the discovery findings. This includes provisioning custom fields on Person, Organization, and Deal using Pipedrive's field-type system, creating Pipelines per Actito entity when multi-entity partitioning applies, and configuring Deal stages with probability percentages aligned to the customer's Actito Custom Table status values. Pipedrive custom fields are created via the Pipedrive API before any data load. We deploy into the customer's Pipedrive sandbox first for validation.

  3. Actito ETL export and API extraction

    We extract Actito data using a combination of ETL export jobs (for large volume Profile and Custom Table exports with GZIP compression) and REST API calls for incremental or record-specific fetches. We respect the 100 calls/min rate limit by implementing controlled polling intervals and batch sizes. CSV archives are decompressed after retrieval. We extract in dependency order: Custom Tables first (to build lookup tables), then Profiles. Export runs are scheduled off-peak to minimize licence contention.

  4. Sandbox migration and reconciliation

    We run a full migration into the customer's Pipedrive sandbox using production-like data volumes. The customer reconciles record counts (Person records in, Organization records in, Deal records in), spot-checks 25-50 random records against Actito source data, and validates that Organization linkage on Person records is correct. Any field mapping corrections, Custom Table flattening decisions, and custom field type adjustments happen in sandbox before production migration begins.

  5. Production migration with dependency ordering

    We run production migration in record-dependency order: Organizations first (from account-like Custom Tables), then Persons (with organization_id resolved), then Deals (with person_id and organization_id resolved), then custom field values (appended to the relevant entity). Each phase emits a row-count reconciliation report before the next phase begins. We use Pipedrive's bulk API with chunking and exponential backoff on rate limit responses. A final delta migration captures any records modified during the cutover window.

  6. Cutover, validation, and handoff

    We freeze Actito writes during cutover, run a final delta migration, and enable Pipedrive as the system of record. We validate record counts, spot-check Person-Organization linkage, and confirm Deal values and probabilities are preserved. We deliver the Scenario and Campaign inventory document to the customer's admin for post-migration rebuild. We provide a one-week hypercare window for reconciliation issues. We do not rebuild Actito Scenarios as Pipedrive Workflows inside the migration scope; that is a separate engagement.

Platform deep dives

Context on both ends of the pair

Actito logo

Actito

Source

Strengths

  • Customizable Profile data model allows direct mapping of existing schemas without flattening
  • Multi-channel activation across email, SMS, push, print, web, and call center from a single platform
  • Entity-based licence partitioning enables B2C/B2B co-existence without data cross-contamination
  • GDPR compliance and multi-language capabilities are built-in, not add-ons
  • API supports ETLs, webhooks, and bulk exports with configurable compression

Weaknesses

  • Segmentation builder interface is reported as cumbersome and non-streamlined by G2 users
  • Integration implementation time is slow; connectors take time to configure and deploy
  • API rate limits of 100 calls/min and 5 concurrent requests restrict bulk migration throughput
  • Push migration does not include campaign history, requiring manual record-keeping before cutover
  • Deprecated V4 API operations overlap with newer endpoints, requiring careful migration path planning
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 Actito 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

    Actito: 100 requests per minute per licence; 5 concurrent requests maximum; 5 API keys per licence.

  • Data volume sensitivity

    A

    Actito exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Actito 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 Actito to Pipedrive data migrations

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

Can't find your answer?

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Book a free 30 minute consultation

Most migrations land between three and five weeks for under 15,000 Profiles with one or two Custom Tables. Migrations with multiple Custom Tables requiring flattening decisions, large volume exports (over 100,000 records), or multi-entity partitioning that must map to Pipedrive Pipelines move to six to ten weeks. Timeline depends on Actito API export speed (rate-limited at 100 calls/min), data validation rounds, and the customer's review cadence for mapping decisions.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Actito.
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