CRM migration
Field-level mapping, validation, and rollback between Streak and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Streak
Source
Pipedrive
Destination
Compatibility
9 of 12
objects map 1:1 between Streak and Pipedrive.
Complexity
BStandard
Timeline
2-3 weeks
Overview
Moving from Streak to Pipedrive means trading a Gmail Chrome extension for a standalone web-based CRM. Streak's core record is the Box — a CRM record attached to an email thread — and every Box lives inside Gmail alongside the emails that created it. Pipedrive uses Deals as the pipeline record with People and Organizations as the contact layer, a structural difference that requires careful mapping during migration. We export Streak Boxes, their custom properties, stage history, owner assignments, and Contact associations; we then map Box properties to Pipedrive Deal fields, stage sequences to Pipedrive pipeline stages, and Streak Contacts to Pipedrive People with Organization resolution. Mail merge campaign records, snippet templates, and mail merge send history are preserved as structured data for rebuilding inside Pipedrive. Streak Workflows (stage-change triggers with five actions) and Sequences do not migrate as automation code; we deliver a written inventory of every active Streak workflow and sequence for your admin to rebuild in Pipedrive's Automation engine. The Gmail-only boundary means email threading references are preserved as metadata rather than re-created in Pipedrive's activity timeline.
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 Streak 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.
Streak
Box
Pipedrive
Deal
1:1Streak Boxes map directly to Pipedrive Deals. The Box name becomes Deal title, Box owner maps to Deal owner by email match, Box stage maps to a Pipedrive Stage within a configured Pipeline, and Box creation and modification timestamps migrate as Deal open_date and update_time. Box-thread associations (the Gmail thread ID Streak uses to link a Box to an email conversation) are preserved as a custom text field thread_id__c on the Deal for re-association in Pipedrive's Gmail add-in if desired.
Streak
Pipeline
Pipedrive
Pipeline
1:1Streak Pipelines map to Pipedrive Pipelines. We extract pipeline name, stage order, and stage-specific fields during schema discovery. Pipedrive pipelines support multiple parallel pipelines per account, which mirrors Streak's multi-pipeline model. Stage names map by position; if Streak uses stages named 'Demo Done' and Pipedrive uses 'Proposal Sent', we map by order rather than by name and flag the customer to confirm stage name alignment before import.
Streak
Stage
Pipedrive
Stage
lossyStreak Stages within a Pipeline map to Pipedrive Stages within the corresponding Pipeline. Stage order and probability percentages (if set in Streak) migrate to Pipedrive Stage probability. Pipedrive Stage order is configurable post-migration in the Pipeline settings, so we set the initial order from Streak and document any customer-requested reordering as a post-migration configuration step.
Streak
Contact
Pipedrive
Person
1:1Streak Contacts map to Pipedrive People. We extract name, email address, phone, company affiliation, and any custom contact properties. Streak stores Gmail contact associations; we preserve the email address as the dedupe key and link the Person to an Organization (Company) if the Streak Contact has a company field. People without an Organization map as standalone Persons in Pipedrive.
Streak
Contact (with company)
Pipedrive
Organization
1:1Streak Contacts with a company affiliation require a two-step import: Organizations first, then People with OrganizationId resolved. We extract unique company names from Streak Contacts during the pre-migration audit, create Organizations in Pipedrive, then import People with the OrganizationId lookup satisfied from the Organization creation pass. Circular dependencies (Contact with company, Company with a Contact as the primary) are resolved by creating the Organization with a placeholder primary and updating after People load.
Streak
Task
Pipedrive
Activity (Task)
1:1Streak Box Tasks map to Pipedrive Activities (type Task). Task subject, assignee (owner), due date, and completion status migrate. Streak tasks are flat with no subtasks or dependencies; Pipedrive activities follow the same flat model, so no transformation is needed. Activity assignment maps by owner email match to Pipedrive User.
Streak
Tag
Pipedrive
Label
1:1Streak Tags applied to Boxes migrate to Pipedrive Labels on Deals. Tags are a flat label system in Streak; Labels are a flat label system in Pipedrive, so the mapping is direct. We export all tag names and the Box IDs each tag is attached to, then map those associations to Deal labels during Deal import. Tags with no attached Boxes are included as an empty label list for reconstruction if needed.
Streak
Custom Box Properties
Pipedrive
Custom Deal Fields
1:1Streak custom properties added to Boxes (dropdowns, text fields, dates, numbers, checkboxes) vary per Pipeline and per Box. We discover the full property schema per Pipeline during the schema audit, then map each property to a Pipedrive custom Deal field of the matching type. Pipedrive Growth and above support custom field types including text, number, date, dropdown (single select), and multi-select. We create the destination fields via Pipedrive API before migration and flag any Streak property types (such as currency with symbol) that require type normalization during import.
Streak
Mail Merge Campaign
Pipedrive
Email Template + Sequence (rebuild documentation)
lossyStreak mail merge campaigns store recipient lists, email templates, send history, and open/reply tracking. We export campaign metadata (name, send date, recipient count, open rate, reply rate) and template content with merge variable syntax. Pipedrive has no direct mail merge campaign object; templates with merge variables are available via Email Templates, and outreach sequences are available via the Sales Automation Power Dialer add-on. We deliver a written rebuild guide mapping each Streak campaign to a Pipedrive Email Template plus a Sequence rebuild plan, which the customer admin implements post-migration.
Streak
Snippet
Pipedrive
Email Template
1:1Streak Snippets (templated email text blocks with merge variables) map to Pipedrive Email Templates. We export snippet content and merge variable syntax. Streak uses {{contact.firstName}} and similar variable syntax; Pipedrive uses {{ person.first_name }} format. We transform variable naming conventions during export so templates are immediately usable in Pipedrive without manual variable re-tagging.
Streak
Team Member / User
Pipedrive
User
1:1Streak Team Members map to Pipedrive Users. We resolve by email match. Any Streak user without a matching Pipedrive User is held in a reconciliation queue for the customer admin to provision. Archived Streak users (read-only access on Pro+) require explicit reactivation before their Boxes are accessible for export; we detect archived users during the schema audit and prompt the customer to confirm reactivation before including those Box records.
Streak
Pipeline Permission (Enterprise)
Pipedrive
Role + Activity Permission
lossyStreak Enterprise custom roles and data validation rules are extracted during schema audit. Pipedrive's role model uses Admin, Member, and Limited access levels from Essential onward, with visibility controls on pipelines and activities. We map the nearest Pipedrive role for each Streak Enterprise role definition and flag any permission constructs (field-level write restrictions, data validation rules) that cannot be represented in Pipedrive's standard role model as a post-migration configuration note.
| Streak | Pipedrive | Compatibility | |
|---|---|---|---|
| Box | Deal1:1 | Fully supported | |
| Pipeline | Pipeline1:1 | Fully supported | |
| Stage | Stagelossy | Fully supported | |
| Contact | Person1:1 | Fully supported | |
| Contact (with company) | Organization1:1 | Fully supported | |
| Task | Activity (Task)1:1 | Fully supported | |
| Tag | Label1:1 | Fully supported | |
| Custom Box Properties | Custom Deal Fields1:1 | Mapping required | |
| Mail Merge Campaign | Email Template + Sequence (rebuild documentation)lossy | Fully supported | |
| Snippet | Email Template1:1 | Fully supported | |
| Team Member / User | User1:1 | Fully supported | |
| Pipeline Permission (Enterprise) | Role + Activity Permissionlossy | 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.
Streak gotchas
Free CRM tier removal catches long-time users off guard
Gmail-only is a hard migration boundary
Enterprise-only roles and data validation require permission remapping
Archived user Boxes require reactivation before export
Mail merge daily send limits gate campaign data export
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
Schema discovery and Streak tier audit
We audit the source Streak account across plan tier (Pro, Pro+, Enterprise), pipeline count, stage names, per-pipeline custom property schemas, archived users, and active mail merge campaigns. We extract the full Box export including all properties, stage history, owner assignments, and contact associations. We also inventory any active Streak workflows (stage-change and box-created triggers with actions) for the automation rebuild inventory we deliver post-migration. The discovery output is a written schema map and a migration scope confirming which objects travel and which require rebuild documentation.
Pipedrive setup and pipeline configuration
We create Pipedrive Pipelines and Stages matching the Streak pipeline-stage structure. Stage order and probability percentages migrate from Streak. We pre-create custom Deal fields matching each Streak custom Box property, scoped to the relevant Pipeline via Pipedrive's Field Set configuration. We confirm the target Pipedrive edition (Essential for basic migration, Growth for automation rebuilds, Premium for advanced reporting) during this step and flag any tier mismatches against the migration scope. Snippet and mail merge template variable syntax is transformed from Streak format ({{contact.firstName}}) to Pipedrive format ({{person.first_name}}) during this phase.
Data cleaning and dedupe pass
We run a data quality pass on the Streak export. Duplicate Contacts (same email address appearing multiple times) are consolidated. Boxes without a contact association are flagged for the customer to decide whether to create a placeholder Person record or drop the orphaned Deals. Archived users are identified and reactivation is requested from the customer before export batch finalization. Any Streak custom property with invalid or malformed data (dates in wrong format, numeric fields with text) is normalized or flagged for manual resolution before import.
Sandbox migration and reconciliation
We run a full migration into a Pipedrive trial or sandbox environment using production-like data volume. The customer reconciles record counts (Organizations, People, Deals, Activities), spot-checks 20-30 random Deals against the Streak source, and confirms that custom field values, stage assignments, and owner assignments are correct before approving production migration. Mapping corrections for stage names, property types, and Organization assignments happen here. Pipedrive Lite note: if the target is Lite, we confirm that zero automations is the expected state and document which Streak workflows have no equivalent in the target tier.
Production migration in dependency order
We run production migration in record-dependency order: Organizations (from Streak Contacts with company affiliations), People (with OrganizationId resolved), Pipelines and Stages (if not pre-configured), Deals (with PersonId resolved, OrganizationId resolved, stage assignment mapped, and owner email matched to Pipedrive User), Activities (Tasks from Streak Box Tasks with assignee resolved), Labels (from Streak Tags applied to Deals), and Custom Field values (per Deal after Deal base record is created). Thread ID metadata from Streak (the Gmail thread reference) is written to a custom text field on each Deal during import.
Cutover, validation, and automation rebuild handoff
We freeze Streak write access during cutover, run a final delta migration of any Deals modified during the migration window, then enable Pipedrive as the system of record. We deliver the automation and mail merge rebuild inventory: a written document listing every Streak workflow trigger, condition, and action with a recommended Pipedrive Automation equivalent, plus every mail merge campaign with its template content and send history mapped to a Pipedrive Email Template rebuild guide. We support a one-week hypercare window for reconciliation issues raised by the sales team. Workflow and sequence rebuild inside Pipedrive is outside migration scope and is handled by the customer's admin or a Pipedrive implementation partner.
Platform deep dives
Streak
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 Streak 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
Streak: Not publicly documented in Streak's API docs.
Data volume sensitivity
Streak exposes a bulk API — large-volume migrations stream efficiently.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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