CRM migration

Migrate from RedEye to Pipedrive

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

RedEye logo

RedEye

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

60%

6 of 10

objects map 1:1 between RedEye and Pipedrive.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

RedEye is a B2C lifecycle marketing automation platform centred on a unified Contact record enriched with behavioural events and campaign journey logic. Pipedrive is a B2B sales CRM centred on Deals flowing through visual pipeline stages, attached to Persons and Organizations. The migration is not a record copy — it is a structural remodelling that separates marketing-contact intent data from sales-deal progression data. We resolve the contact-to-person split (contacts with company linkage become Persons attached to Organizations; standalone contacts become Persons without an Organization), map RedEye campaigns to Pipedrive activities and labels, extract journey definitions as a structured rule document for the customer to rebuild in Pipedrive Workflows post-migration, and preserve event timestamps as Pipedrive Activity records with custom fields carrying the original event type and behavioural signal. Custom fields require pre-creation in Pipedrive before import because Pipedrive ties custom fields to specific entity types. Reports and dashboards do not migrate; the underlying data does, so the customer rebuilds analytics from scratch in Pipedrive Insights.

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

RedEye logo

RedEye

What's pushing teams away

  • Contact database size is capped per tier (150,000 on Essentials) and upselling to higher volumes can arrive without warning, making growth-stage brands feel price-pressured.
  • Reporting dashboards are described as basic by power users who want deeper drill-down and custom analytics beyond the built-in charts and dashboards.
  • The platform has a learning curve; reviewers note that initial onboarding guidance is insufficient and some features take time to master without better in-app documentation.
  • Drag-and-drop campaign building and auto-save functionality are absent, creating friction for marketers accustomed to more modern no-code UX patterns.

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 RedEye objects map to Pipedrive

Each row shows how a RedEye 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.

RedEye

Contact

maps to

Pipedrive

Person

1:1
Fully supported

RedEye's Contact records map to Pipedrive Person. Standard properties (name, email, phone, address) migrate directly. We flag contacts with no company association for resolution: either create a standalone Person or link to a default Organisation record. RedEye's lifecycle stage and behavioural properties migrate as custom fields on Person. If a contact has duplicate email entries in RedEye, we deduplicate using RedEye's unique customer identifier before inserting into Pipedrive to prevent duplicate Persons.

RedEye

Company / Account

maps to

Pipedrive

Organization

1:1
Fully supported

RedEye's B2C model treats Company as a lighter-weight secondary linkage on Contact. Pipedrive's Organization is a first-class entity with its own fields, activities, and deal associations. We create an Organization for every RedEye contact with a populated company field, using the RedEye company name as the Organization name. Contacts without a company field create standalone Persons without a linked Organization. This split requires confirmation during scoping because B2C contact databases may have a high proportion of unassociated individual contacts.

RedEye

Campaign

maps to

Pipedrive

Activity + Label

1:many
Fully supported

RedEye campaigns have no direct Pipedrive equivalent because Pipedrive is a sales CRM, not a marketing campaign platform. We migrate campaign names, descriptions, start and end dates, and tags as Pipedrive Activities (type: campaign reference) linked to the relevant Person or Deal, and campaign labels as Pipedrive Labels for filtering. The campaign's channel assignments (email, SMS, push) do not carry over because Pipedrive does not execute marketing sends; we flag this during scoping and recommend the customer documents channel migration separately.

RedEye

Customer Journey

maps to

Pipedrive

Workflow (external rebuild)

lossy
Fully supported

RedEye's customer journey builder stores workflow definitions in a proprietary format that cannot be exported and re-imported into Pipedrive. We extract the journey tree structure as a structured rule document listing each journey name, trigger conditions, branch conditions, delay durations, and action steps. Pipedrive Workflows use a different trigger model (deal stage changes, activity completion, field updates) rather than behavioural events. The customer uses the journey rule document to rebuild equivalent logic in Pipedrive Workflows post-migration; we do not migrate journey definitions as executable code.

RedEye

Event (behavioural)

maps to

Pipedrive

Activity (custom fields)

1:1
Fully supported

RedEye behavioural events (website actions, email opens, email clicks, purchase triggers, form submissions) migrate as Pipedrive Activity records with custom fields capturing the original event type and timestamp. We preserve the event-contact association using the Person lookup. Event data is flat-migrated as structured text in custom fields (event_type, event_source, event_timestamp) because Pipedrive's activity model is activity-log-style rather than event-stream-style. Event volumes over 200,000 require chunked API writes with parent-record batch resolution to avoid rate limit violations.

RedEye

Product Record

maps to

Pipedrive

Product

1:1
Fully supported

RedEye product catalogue records migrate to Pipedrive Products with SKU, name, pricing, and category fields. RedEye's unlimited product record inclusion on both Essentials and Elevate tiers maps directly to Pipedrive's Product object with no tier constraint. Product associations to contacts (purchase history) migrate as deal-linked Product items or as custom fields on Person, depending on the customer's preferred data model, confirmed during scoping.

RedEye

Segment

maps to

Pipedrive

Filter (dynamic) or Static Group (static)

lossy
Fully supported

RedEye dynamic segments based on behavioural rules and demographic criteria migrate as Pipedrive saved Filters. We extract segment definitions as rule-set documentation listing each filter condition, operator, and value, then rebuild equivalent Filters in Pipedrive using its filter builder. Static segments (fixed contact lists) migrate as Pipedrive Labels applied to the relevant Persons. The rebuild is a manual step the customer performs or we perform as a separate configuration task because Pipedrive's filter logic differs from RedEye's behavioural segment syntax.

RedEye

Custom Field (contact, event, campaign)

maps to

Pipedrive

Custom Field (per entity)

lossy
Fully supported

RedEye custom fields require explicit field-to-field mapping and must be pre-created in Pipedrive before any record import. Pipedrive custom fields are entity-scoped (Person, Organization, Deal, Activity), so a RedEye contact custom field maps to a Person custom field. We extract the full RedEye field schema during scoping, map each field to the equivalent Pipedrive entity, select the closest Pipedrive field type (text, number, date, drop-down, checkbox), and pre-create the fields in the destination. Complex RedEye field types (multi-select, date-time with timezone, computed fields) require customer decisions on how to flatten or restructure before import.

RedEye

Tag

maps to

Pipedrive

Label

1:1
Fully supported

Contact and campaign tags migrate as Pipedrive Labels applied to the relevant entity (Person, Organization, or Deal). We preserve tag names exactly and flag any tag containing characters unsupported by Pipedrive's label schema. Labels serve as the closest Pipedrive analog for RedEye tag-based segmentation and campaign categorisation.

RedEye

Attachment

maps to

Pipedrive

File

1:1
Fully supported

Campaign assets and contact attachments stored in RedEye export as files via RedEye's file export API and re-upload into Pipedrive Files attached to the relevant Person, Organization, or Deal. We preserve the file hierarchy and naming conventions to minimise manual re-linking. Attachments that were email assets (HTML templates, images) do not carry over as functional campaign assets; only the file record is preserved.

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.

RedEye logo

RedEye gotchas

High

Contact database size limits differ by pricing tier

Medium

Campaign journey logic does not export as a portable schema

Medium

Reports and dashboards are not exportable

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

  • B2C contact model does not map to Pipedrive's B2B deal model

    RedEye's core object is the Contact — a unified B2C record with lifecycle stage, behavioural enrichment, and campaign association. Pipedrive's core objects are Deal, Person, and Organization. Contacts without a company association in RedEye have no clear Pipedrive equivalent because Pipedrive expects Persons to be linked to Organizations when Deals are involved. We flag this during scoping by counting the proportion of RedEye contacts with and without company linkage, then define a resolution strategy (default Organisation, standalone Persons, or exclusion). Migrations that skip this step produce orphan Persons with no pipeline context in Pipedrive.

  • Customer Journeys do not export as a portable schema

    RedEye's visual journey builder stores workflow definitions in a proprietary format that cannot be exported and re-imported into Pipedrive or any external platform. Pipedrive Workflows use deal-stage triggers, activity triggers, and field-update triggers rather than RedEye's behavioural event triggers (email open, page visit, purchase). We extract journey structure as a structured rule document listing each journey's trigger, conditions, branches, delays, and actions. Pipedrive Workflows must be rebuilt from that document by the customer's admin post-migration. We do not migrate journey definitions as executable code.

  • Custom field types require pre-creation and type conversion

    RedEye custom fields can include multi-select arrays, computed values, and behavioural score fields that do not map directly to Pipedrive's field type system. Pipedrive custom fields are scoped per entity (Person, Organization, Deal, Activity) and support a limited set of types (text, number, date, drop-down, checkbox, address, phone, email). Multi-select RedEye fields may need to become comma-separated text or require a decision on picklist restructuring. Computed score fields need to be stored as read-only number fields in Pipedrive or recalculated as a post-migration script. We flag all non-direct-mapping fields during scoping for customer confirmation before schema creation.

  • Reports and dashboards do not migrate — only underlying data does

    RedEye's native analytics dashboards use proprietary visualisation components that do not export. We migrate the underlying contact, event, and campaign performance data (open rates, click rates, conversion data) as structured records in Pipedrive custom fields so the customer can rebuild reports in Pipedrive Insights from the migrated data. We flag this during scoping so the customer allocates time for the reporting rebuild phase rather than expecting dashboards to carry over. The rebuilt Pipedrive reports will use Pipedrive's deal-centric metrics rather than RedEye's campaign-centric metrics, which is a deliberate design shift the customer should plan for.

  • Contact database size ceiling may trigger Pipedrive plan upgrade

    RedEye Essentials caps the contact database at 150,000 records, and the migration itself may require exceeding that ceiling temporarily for the export file. Pipedrive has no contact-database ceiling — pricing is per-user. However, if the migrated contact count exceeds the number of Pipedrive seats purchased, the customer may find the Person record count exceeds active-user capacity. We flag the post-migration record count against the planned Pipedrive user count during scoping so the customer can plan seat licensing accordingly.

Migration approach

Six steps for a successful RedEye to Pipedrive data migration

  1. Discovery and scoping

    We audit the RedEye account across contact volume, custom field schema, campaign count, event log size, journey definitions, segment count, and product catalogue size. We pair this with a Pipedrive plan assessment (Essential at $14/user for basic CRM, Advanced at $29/user for workflow automation, Professional at $49/user for advanced reporting and revenue forecasting) and a data model design session covering the contact-to-person split, organisation resolution strategy, and event log migration approach. The discovery output is a written migration scope document with record counts per object, custom field mapping, and a plan for the journey rule extraction.

  2. Schema design and custom field pre-creation

    We create the destination schema in Pipedrive before any data import. This includes creating all custom fields on Person, Organization, and Deal entities, defining Pipedrive Labels that map to RedEye tags, configuring Pipedrive Activities to represent campaign references, and setting up Pipedrive Products for the product catalogue. Custom fields must be created in Pipedrive before import because Pipedrive's import process maps to existing field names — it cannot create new field definitions during import. We use Pipedrive's Settings API to pre-create fields and validate field types against the mapping workbook.

  3. Data quality and deduplication

    We run a pre-migration data quality audit on RedEye exports to identify duplicate contacts (same email address, different RedEye customer ID), contacts with missing critical fields (no email, no name), and malformed custom field values. Duplicate contacts are resolved using RedEye's unique customer identifier as the dedupe key before insert into Pipedrive. Contacts missing required fields receive a flag record in the migration report for the customer's admin to decide on resolution (manual enrichment, exclusion, or placeholder value). Event logs are audited for records without a valid contact association — orphan events are excluded from migration with a count in the report.

  4. Sandbox migration and reconciliation

    We run a full migration into a Pipedrive sandbox using production-like data volume. The customer's lead admin reconciles record counts (Persons in, Organisations in, Deals in, Activities in), spot-checks 25-50 random records against the RedEye source for field-level accuracy, and validates that custom field data populated correctly. Any mapping corrections, field-type adjustments, or schema additions happen in the sandbox before production migration. We do not proceed to production migration without written sign-off on the sandbox reconciliation.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Pipedrive Products first (for deal line items), then Organizations (from RedEye companies), then Persons (with OrganizationId resolved for company-linked contacts), then Activities (campaign references and event logs with PersonId resolved), then Deals (with PersonId and OrganizationId resolved), then Labels (applied to the relevant entity). Each phase emits a row-count reconciliation report before the next phase begins. Event logs over 200,000 records are chunked into batches of 500 with exponential backoff on API rate limit responses. Journey rule documents and segment definitions are delivered as separate written artefacts for post-migration rebuild.

  6. Cutover, validation, and journey rebuild handoff

    We freeze RedEye 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 rule document, segment rebuild guide, and campaign-to-activity mapping reference to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team. We do not rebuild RedEye journeys as Pipedrive Workflows inside the migration scope; that work uses the delivered rule document and is performed by the customer's admin or a Pipedrive partner as a separate engagement.

Platform deep dives

Context on both ends of the pair

RedEye logo

RedEye

Source

Strengths

  • Dedicated sending infrastructure with warm-up plans and inbox monitoring included on all paid tiers.
  • Unlimited email sends and event storage removes per-campaign volume anxiety for high-frequency senders.
  • Multi-channel campaign orchestration (up to nine channels) consolidates what many teams run across separate tools.
  • Strong B2C lifecycle marketing focus with retailer, travel, and financial sector expertise built into the product design.
  • AI predictive analytics and customer lifetime value modelling available on the Elevate tier.

Weaknesses

  • Contact database size limits (150,000 on Essentials) create a hard ceiling that triggers tier upgrades unexpectedly for growing brands.
  • Native reporting is described as basic by power users and lacks the drill-down depth available in standalone BI platforms.
  • Absence of drag-and-drop campaign building and auto-save creates UX friction for marketers used to modern no-code builders.
  • Steep learning curve without guided onboarding means teams spend more time self-discovering features than driving value.
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?

Moderate CRM migration. 4 of 8 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

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

  • Object compatibility

    C

    4 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

    RedEye: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your RedEye 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 RedEye to Pipedrive data migrations

Answers to the questions buyers ask most during RedEye 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 50,000 contacts with no custom objects and a straightforward contact-company linkage model. Migrations with large event histories (over 200,000 behavioural records), extensive custom field schemas, multiple campaign types, or a high proportion of unassociated individual contacts requiring separate resolution move to seven to ten weeks because of event log chunking, custom field type conversion work, and contact-model reconciliation.

Adjacent paths

Related migrations to explore

Ready when you are

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