CRM migration

Migrate from Evam to Pipedrive

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

Evam logo

Evam

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

50%

5 of 10

objects map 1:1 between Evam and Pipedrive.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Evam to Pipedrive is a shift from an event-driven journey-orchestration platform to a visual sales CRM. Evam maps behavioral and transactional touchpoints to Journeys, Campaigns, Segments, and Channels; Pipedrive organizes around People, Organizations, Deals, and Activities in a pipeline-centric view. We migrate the contact and company records, deal history, and engagement timeline, but we flag upfront that Evam's journey step logic, AI predictive scores, and channel configurations (SMS sender IDs, push credentials) have no Pipedrive equivalent. Journeys and journey-triggered automation do not migrate as code; we deliver a written inventory of every active journey with its entry conditions, step sequence, and branch logic so the customer's team can rebuild in Pipedrive's workflow automation or a dedicated marketing automation layer post-migration. Pipedrive's per-user pricing model (Essential starting at $14/user/month annually) contrasts with Evam's custom enterprise pricing, making Pipedrive more predictable for teams that have outgrown Evam's enterprise cost of entry.

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

Evam logo

Evam

What's pushing teams away

  • Journey complexity becomes unmanageable at scale — users report that the user journey can feel complex, and small campaign changes often require navigating deeply nested logic.
  • Difficult to extract clean historical data for reporting — as an event-driven system, the raw event stream lacks built-in summarization, making it hard to build reports post-migration without re-processing.
  • High cost of entry relative to simpler marketing automation tools — the platform's enterprise positioning means smaller teams pay for capabilities they do not use.
  • Lack of transparency in channel attribution — multi-touch attribution across Evam's channels is not fully transparent, leading some teams to supplement with separate analytics tooling.
  • Limited community resources and steep learning curve — compared to broader CRM platforms, Evam has a smaller ecosystem, making self-service troubleshooting harder.

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 Evam objects map to Pipedrive

Each row shows how a Evam 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.

Evam

Customer

maps to

Pipedrive

Person (People)

1:1
Fully supported

Evam Customer records map to Pipedrive People. Standard profile fields (name, email, phone, demographic attributes) map 1:1. Custom customer properties migrate as Pipedrive custom fields, with data type compatibility checked at scoping (text to text, number to number, date to date). Evam customer IDs are preserved in a custom field evam_customer_id__c as a migration audit trail and for any future reconciliation.

Evam

Customer

maps to

Pipedrive

Organization

1:1
Fully supported

If Evam stores company-level groupings or organizational metadata on Customers, these map to Pipedrive Organizations. We extract the organization name from customer properties or related company records and create an Organization record before the Person import so that the Organization-Person link is satisfied at import time. Dedupe is performed on Organization name or domain.

Evam

Deal

maps to

Pipedrive

Deal

1:1
Fully supported

Evam Deals (if present as a standalone object in the customer's data model) map to Pipedrive Deals. Deal name, value, stage, owner, expected close date, and custom deal properties migrate directly. Evam deal stages map to Pipedrive Deal stages, which we configure as a pipeline during the schema design phase. Pipedrive's visual pipeline stages and drag-and-drop interface are preserved as the primary deal tracking interface.

Evam

Event (behavioral)

maps to

Pipedrive

Note (on Person or Deal)

1:many
Fully supported

Evam behavioral events (page views, link clicks, purchases, custom events) do not have a native Pipedrive equivalent because Pipedrive is not an event-stream platform. We transform event history into Pipedrive Notes attached to the corresponding Person record. Each Note captures the event type, timestamp, and payload as structured text. We scope event exports to the last 90-180 days to stay within migration scope and API quota. Older events are documented as a representative sample for the customer's analytics team.

Evam

Segment

maps to

Pipedrive

Filter + Label

lossy
Fully supported

Evam customer segments (rule-based groupings for journey entry) map to Pipedrive Filters (saved filter views) and Labels (tag-style classification). We document the segment membership criteria during discovery and rebuild them as Pipedrive filter conditions on the Person object. Labels are applied as a flat classification layer for segments that operated on a tag basis. Complex segments with nested conditions that have no Pipedrive filter equivalent are flagged for manual rebuild or a separate segmentation tool.

Evam

Campaign

maps to

Pipedrive

Activity (task-based)

lossy
Fully supported

Evam campaigns attached to journey steps map to Pipedrive Activities (tasks and events). Campaign metadata (name, status, dates, channel assignments) migrates as structured notes or custom fields. Campaign performance metrics (open rates, click rates, conversion rates) do not migrate because they are derived post-campaign and require the Evam analytics environment to reconstruct. We deliver a campaign inventory document listing every campaign with its metadata for the customer's team to recreate reporting in Pipedrive.

Evam

Channel (SMS, Push, In-app)

maps to

Pipedrive

Activity Type (external documentation)

lossy
Fully supported

Evam channel configurations (SMS sender IDs, push notification credentials, in-app message templates) are environment-locked and cannot be moved to Pipedrive. We document the full channel configuration during discovery and deliver a re-setup checklist so the customer's operations team can re-register credentials in their chosen messaging platforms before cutover. Pipedrive Activities (calls, emails) serve as the activity record for the sales engagement layer, but channel messaging (SMS, push) requires a separate communications tool integration.

Evam

Custom Field (Customer-level)

maps to

Pipedrive

Custom Field

1:1
Fully supported

Evam extended properties on Customers migrate as Pipedrive custom fields on the Person object. We map data types explicitly: text properties to text fields, numeric properties to number fields, date properties to date fields, multi-select properties to multiple-choice fields. Picklist values migrate as Pipedrive option sets. Custom field naming is preserved with a migration prefix evam_ for audit traceability.

Evam

Journey

maps to

Pipedrive

Workflow Automation (documentation)

lossy
Fully supported

Evam Journey definitions (step sequences, branch conditions, wait timers, entry/exit rules) are not exportable from Evam's documented API. We perform a manual journey audit during discovery, documenting every active journey with its trigger conditions, step logic, and channel actions. This documentation is delivered as a written inventory for the customer's team to rebuild in Pipedrive Workflows (available from the Advanced plan) or a separate marketing automation platform. Journeys are not migrated as executable code.

Evam

AI Model / Predictive Score

maps to

Pipedrive

None (flag for post-migration rebuild)

1:1
Fully supported

Evam's AI-based predictive propensity scores are computed in Evam's runtime environment and are not accessible via the documented API. We cannot migrate these scores directly. Customers relying on AI-driven routing in journeys should plan to re-run scoring in Pipedrive's AI Sales Assistant (available on Advanced plan and above) or a third-party scoring layer post-migration. We document the score fields that existed in Evam so that the customer can re-establish scoring on the migrated contact records.

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.

Evam logo

Evam gotchas

High

Journey logic lacks structured export

High

AI predictive scores are non-exportable

Medium

Event data volume requires selective snapshot strategy

Medium

Channel credentials are environment-locked

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

  • Journey step logic has no Pipedrive equivalent

    Evam's core value proposition is journey orchestration — sequences of steps, branch conditions, wait timers, and entry/exit rules tied to behavioral events. Pipedrive has no journey canvas. Workflow automations in Pipedrive operate on record-level triggers (deal created, activity completed, field updated) rather than event-stream conditions. We do not migrate journey logic as code. We document every active journey during discovery and deliver a written journey inventory with trigger conditions, step logic, and channel assignments so the customer's team can rebuild in Pipedrive Workflows or a dedicated marketing automation tool.

  • AI predictive scores are non-exportable from Evam

    Evam's AI-based propensity scores are computed per-customer within Evam's runtime environment and are not exposed via the documented API. We cannot migrate these scores directly. Customers relying on AI-driven routing in journeys should plan to re-run scoring in Pipedrive's AI Sales Assistant (Advanced plan and above) or a third-party scoring layer post-migration. We preserve the score field names and data types from Evam so that the customer's data science team can re-establish scoring on the migrated contact records.

  • Channel credentials are environment-locked and non-transferable

    Evam's SMS sender IDs, push notification credentials, and in-app notification configurations are bound to Evam's registered application environment. These cannot be moved to Pipedrive because Pipedrive does not have a native multi-channel messaging module (SMS, push) in its core product. We document the full channel configuration during discovery and provide a re-setup checklist so the customer's operations team can re-register credentials in their chosen messaging platforms (Twilio, OneSignal, etc.) and reconnect to Pipedrive via integrations before cutover.

  • Event data volume requires selective snapshot and transformation

    Evam processes billions of touchpoints. Attempting to export the full event stream in one pass will hit API quotas and produce a dataset too large to validate and transform. We scope the event export to a defined time window (typically the last 90-180 days) and transform events into Pipedrive Notes. Older event data is documented as a representative sample rather than a full history load. This keeps migration scope manageable while preserving a meaningful behavioral timeline for the customer's sales team.

  • Pipedrive's multi-select field handling requires explicit mapping

    Evam segments stored as multi-checkbox properties (multi-select values per customer) require explicit mapping during import. Pipedrive supports multiple-choice fields as single-select or as multiple separate single-select fields depending on the plan. We evaluate the segment membership model during scoping and map multi-select values to Pipedrive Labels (flat tag classification) or to multiple separate custom fields. If the customer's Evam data uses complex nested multi-select logic, we flag it for manual rebuild as Pipedrive Filters.

Migration approach

Six steps for a successful Evam to Pipedrive data migration

  1. Discovery and data audit

    We audit the source Evam environment across customer record volume, custom field count, active journey count, segment definitions, channel configurations, event export window, and any AI scoring fields in use. We pair this with a Pipedrive plan recommendation (Essential at $14/user/month for core migration, Advanced at $29 for Workflows and email sync, Professional at $49 for custom fields and multiple pipelines) based on the customer's record volume and automation needs. The discovery output is a written migration scope, data inventory, and Pipedrive plan recommendation.

  2. Schema design and pipeline configuration

    We design the destination Pipedrive workspace. This includes provisioning Organizations and Person custom fields to match Evam's customer properties, configuring Deal stages and pipeline layout, setting up Labels for Evam segment translation, and designing the Workflow triggers if the customer is on the Advanced plan or above. Pipedrive's visual pipeline is set up before any data import so that Deals land in the correct stages on first load.

  3. Sandbox migration and reconciliation

    We run a full migration into a Pipedrive sandbox using production-like data volume. The customer's operations lead reconciles record counts (People imported, Organizations imported, Deals imported, Notes created from events), spot-checks 25-50 random records against the Evam source, and signs off the field mapping and pipeline configuration before production migration begins. Any mapping corrections happen here, not in production.

  4. Event-to-note transformation and segment translation

    We transform Evam's behavioral event stream into Pipedrive Notes attached to the corresponding Person record. Events are scoped to the agreed time window (typically 90-180 days) and transformed into structured Note text (event type, timestamp, payload). Evam segments are translated to Pipedrive Filters and Labels per the segment inventory documented during discovery. Complex segments with no Pipedrive filter equivalent are flagged for manual rebuild.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Organizations first (from Evam company-level data), then People (with OrganizationId resolved), then Deals (with PersonId and OrganizationId resolved), then Notes (linked to Person or Deal), then Custom Fields (mapped field-by-field from Evam), then Labels applied per segment membership. Each phase emits a row-count reconciliation report before the next phase begins. The Evam customer ID is preserved in a custom field on each Person record for audit traceability.

  6. Cutover, validation, and journey inventory handoff

    We freeze Evam 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 journey inventory document (documented during discovery) to the customer's team for rebuild in Pipedrive Workflows or a separate marketing automation layer. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team. We do not rebuild Evam journeys as Pipedrive Workflows inside the migration scope; that is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

Evam logo

Evam

Source

Strengths

  • Real-time event processing engine handles billions of touchpoints per day without batching latency.
  • AI-based predictive scoring and next-best-offer logic are native to the platform, not bolted on.
  • Multi-channel delivery (SMS, push, in-app, pop-up) managed from a single journey canvas.
  • High-volume enterprise track record — 600+ daily end-users across significant deployments.
  • Developer-friendly integration surface with documented API access patterns.

Weaknesses

  • Small ecosystem and limited public documentation compared to broader CRM platforms.
  • Journey logic is complex to audit and export, making post-migration reconstruction non-trivial.
  • No documented mechanism for exporting predictive score history.
  • Channel configurations (sender IDs, credentials) are environment-locked and require manual re-setup.
  • Small review sample limits confidence in long-term reliability assessment.
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 Evam 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

    Evam: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Evam 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 Evam to Pipedrive data migrations

Answers to the questions buyers ask most during Evam 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 contacts, 3,000 deals, and a straightforward field mapping. Migrations with large engagement histories (over 200,000 event records), custom objects, complex segment-to-filter translation, or a multi-stage deal pipeline design move to seven to twelve weeks because of event-to-note transformation work, filter reconstruction, and validation testing.

Adjacent paths

Related migrations to explore

Ready when you are

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