CRM migration
Field-level mapping, validation, and rollback between Sharpspring and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Sharpspring
Source
Pipedrive
Destination
Compatibility
15 of 15
objects map 1:1 between Sharpspring and Pipedrive.
Complexity
BStandard
Timeline
24–48 hours
Overview
SharpSpring combines CRM, marketing automation, and sales automation in one platform, making it common for mid-market teams that want marketing and sales data in one place. Pipedrive is a sales-first CRM built around visual pipeline management, activity tracking, and deal-centric workflows. The two platforms share the same core CRM objects — contacts, companies, deals, activities — but SharpSpring adds marketing-native constructs like lead scoring, dynamic lists, workflow campaigns, and a VisitorID tracker that have no direct Pipedrive equivalent. The migration carries SharpSpring's contacts, companies, deals, and activity history into Pipedrive's People, Organizations, Deals, and Activity models. SharpSpring's automation campaigns, visual workflow rules, and email sequences must be rebuilt in Pipedrive — FlitStack exports a machine-readable definition of each workflow so your Pipedrive admin has a rebuild reference. SharpSpring's lead scoring data migrates as a custom number field on Pipedrive People. The migration runs via SharpSpring's API, with a 24–48 hour delta pickup window capturing in-flight changes at cutover.
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 Sharpspring 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.
Sharpspring
Contact
Pipedrive
Person
1:1SharpSpring Contact maps directly to Pipedrive Person. All standard fields — name, email, phone, address, title — carry over. Pipedrive requires an Organization association; SharpSpring contacts without a primary company land in Pipedrive without an Organization link and can be linked manually or via a default Organization after migration.
Sharpspring
Company
Pipedrive
Organization
1:1SharpSpring Company maps directly to Pipedrive Organization. Core fields including domain, address, industry classification, employee count, and annual revenue all transfer as standard Organization properties. Parent-child company hierarchies in SharpSpring translate to Pipedrive's parent Organization field, enabling the same corporate structure representation. Circular parent references — where a child becomes its own ancestor — are detected and flagged before the migration commits to prevent invalid hierarchy loops in Pipedrive.
Sharpspring
Deal
Pipedrive
Deal
1:1SharpSpring Deal maps to Pipedrive Deal. Each SharpSpring deal pipeline becomes a separate Pipedrive pipeline; deal stage values map to Pipedrive stage names per pipeline. Deal amount, expected close date, owner, and create/update timestamps all migrate. Probability values are not native in SharpSpring and are mapped as custom fields in Pipedrive.
Sharpspring
Pipeline
Pipedrive
Pipeline + Stage
1:1SharpSpring's multi-pipeline model requires disaggregation in Pipedrive. Each SharpSpring pipeline creates a corresponding Pipedrive pipeline. Stage names map value-by-value; SharpSpring stage order becomes Pipedrive stage position. A deal's pipeline association is stored in Pipedrive's PipelineId field on the Deal record.
Sharpspring
Lead Score
Pipedrive
Custom Number Field (People)
1:1SharpSpring's behavioral and demographic lead scoring has no native Pipedrive equivalent. We migrate the current score as a custom number field (SharpSpring_Score__c or similar) on Pipedrive People. Rebuilding the scoring logic in Pipedrive requires either the AI Sales Assistant add-on or a custom automation that recalculates based on deal activity.
Sharpspring
Activity: Call
Pipedrive
Activity (type: call)
1:1SharpSpring call logs map to Pipedrive Activities with type 'Call'. Subject, duration, outcome, notes, timestamp, and owner all migrate. Activity is linked to the originating Person record. Pipedrive's call tracking requires a separate telephony integration — call history migrates as historical data, not as native call records.
Sharpspring
Activity: Email
Pipedrive
Activity (type: email)
1:1SharpSpring email activity logs migrate to Pipedrive Activities using type 'Email'. The migration transfers subject line, full body content, sent or received timestamp, and the owning user. Pipedrive's email sync model requires OAuth connection per user mailbox — migrated email history appears as Activity records rather than as live synced inbox threads. Each email activity is linked to the corresponding Person record in Pipedrive.
Sharpspring
Activity: Meeting / Task
Pipedrive
Activity (type: meeting) / Task
1:1SharpSpring meeting records translate to Pipedrive Activities with type 'Meeting', retaining all metadata including start time, duration setting, physical or virtual location, and attendee list. SharpSpring task records — with due date, subject, completion status, and assigned owner — migrate to Pipedrive Tasks. Both activity types preserve their parent linkage to the originating Person or Deal record throughout the migration.
Sharpspring
Form Submissions
Pipedrive
Activity Note + Custom Field
1:1SharpSpring form submission data (form name, submission date, fields submitted) migrates as an Activity Note on the contact record. Individual form field values that are stored as SharpSpring custom contact fields map to their Pipedrive Person custom field equivalents. Form submissions without a contact match are logged for manual review.
Sharpspring
VisitorID Data
Pipedrive
Custom Field / Note (reference only)
1:1SharpSpring's VisitorID module — which tracks anonymous web visitors by IP and assigns them to contacts — has no Pipedrive equivalent. Historical visitor data (last visit, pages viewed, anonymous profile) migrates as a text custom field or note for reference. Live web tracking must be re-implemented via a separate tool (e.g., LeadBoxer, Leadfeeder).
Sharpspring
Tags
Pipedrive
Person / Organization / Deal Labels
1:1SharpSpring tags migrate to Pipedrive Labels on Person, Organization, and Deal records. Pipedrive labels are per-object — a tag on a SharpSpring contact becomes a label on the equivalent Pipedrive Person. Multi-object tags are decomposed into separate label assignments per object type.
Sharpspring
Custom Objects
Pipedrive
Custom Fields / Notes
1:1SharpSpring Enterprise custom objects (if present) require a custom mapping plan — Pipedrive has no native custom object model. The migration flattens custom object records into a custom field set on the related standard object, or stores them as structured notes if the schema is too complex to flatten.
Sharpspring
Workflow Campaigns
Pipedrive
Automations (reference export only)
1:1SharpSpring visual workflow campaigns — triggers, conditions, and actions — cannot migrate directly to Pipedrive's automation engine due to fundamental differences in trigger models and action types. We export a JSON representation of each workflow definition for the Pipedrive admin to use as a rebuild specification.
Sharpspring
Email Sequences / Drip Campaigns
Pipedrive
Sequences (reference rebuild only)
1:1SharpSpring email drip sequences (automated multi-step email campaigns) have no direct Pipedrive equivalent. Pipedrive's Sequences feature is contact-centric and tied to People, not to SharpSpring's workflow-based campaign logic. We export sequence step definitions so they can be rebuilt in Pipedrive Sequences.
Sharpspring
Landing Pages and Forms
Pipedrive
Not applicable
1:1SharpSpring's built-in landing page builder and form builder are marketing assets that do not have a Pipedrive equivalent. These must be rebuilt in a dedicated landing page tool or via Pipedrive's native form feature. We export form field definitions as a mapping reference.
| Sharpspring | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline | Pipeline + Stage1:1 | Fully supported | |
| Lead Score | Custom Number Field (People)1:1 | Fully supported | |
| Activity: Call | Activity (type: call)1:1 | Fully supported | |
| Activity: Email | Activity (type: email)1:1 | Fully supported | |
| Activity: Meeting / Task | Activity (type: meeting) / Task1:1 | Fully supported | |
| Form Submissions | Activity Note + Custom Field1:1 | Fully supported | |
| VisitorID Data | Custom Field / Note (reference only)1:1 | Not supported | |
| Tags | Person / Organization / Deal Labels1:1 | Mapping required | |
| Custom Objects | Custom Fields / Notes1:1 | Fully supported | |
| Workflow Campaigns | Automations (reference export only)1:1 | Fully supported | |
| Email Sequences / Drip Campaigns | Sequences (reference rebuild only)1:1 | Fully supported | |
| Landing Pages and Forms | Not applicable1:1 | 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.
Sharpspring gotchas
Visual Workflows cannot be exported
VisitorID tracking data is platform-locked
Landing pages lack any export mechanism
Custom fields must be pre-created in the destination
Dynamic list logic does not carry over
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
Audit SharpSpring schema and export all record types via API
FlitStack connects to SharpSpring's API using scoped read credentials and pulls a complete inventory of all record types: contacts, companies, deals, activities (calls, emails, meetings, tasks), tags, and custom fields. We capture the full field schema including field types, pick-list values, and visibility rules. For each deal pipeline, we record the pipeline name, stage names, stage order, and any custom stage-level properties. The audit produces a schema map used to plan the Pipedrive field creation and value mapping before any data moves.
Create Pipedrive pipelines, stages, and custom fields
Before migration begins, FlitStack creates the target Pipedrive schema. Each SharpSpring pipeline becomes a Pipedrive pipeline with matching stage names in the same order. Custom fields identified in the SharpSpring audit are created in Pipedrive as custom Person, Organization, or Deal fields — preserving field types (text, number, pick-list, date, checkbox) so value mappings are accurate. Owner email matching runs against Pipedrive's user list; unmatched owners are flagged for your admin to invite to Pipedrive before migration.
Run a sample migration with field-level diff
A representative slice — typically 200–500 records spanning contacts, companies, deals, and a mix of activity types — migrates first into a Pipedrive sandbox or the live account with test data. FlitStack generates a field-level diff comparing source values to destination values, flagging any field where the mapped value differs from the expected output. This step validates stage-to-pipeline mapping, owner resolution, organization association logic for N:N contacts, and custom field value mapping before the full migration commits.
Execute full migration with delta-pickup window
The full SharpSpring dataset migrates into Pipedrive in API batches sized to Pipedrive's rate limits (80 req/2s per token). Contacts and companies migrate first so Organization links resolve for People records. Deals migrate next with pipeline and stage mapping applied per record. Activities (calls, emails, meetings, tasks) migrate last, linked to their parent Person or Deal records. A delta-pickup window of 24–48 hours runs after the initial load, capturing any SharpSpring records modified during the migration window. All operations are logged in an audit trail.
Deliver workflow export package and post-migration validation
After the data migration completes, FlitStack delivers the exported SharpSpring workflow definitions (JSON), email sequence step definitions, and form field schemas as rebuild reference documents for your Pipedrive admin. We run a final validation report comparing record counts and field completeness between SharpSpring and Pipedrive. One-click rollback is available for 48 hours post-migration if reconciliation reveals unexpected discrepancies. Pipedrive automations and Sequences need to be rebuilt using the exported definitions as the specification.
Platform deep dives
Sharpspring
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 Sharpspring 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
Sharpspring: Not publicly documented; specific quota limits are not published on SharpSpring's developer documentation.
Data volume sensitivity
Sharpspring doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
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