CRM migration

Migrate from Sharpspring to Pipedrive

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

Sharpspring logo

Sharpspring

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

100%

15 of 15

objects map 1:1 between Sharpspring and Pipedrive.

Complexity

BStandard

Timeline

24–48 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Sharpspring logo

Sharpspring

What's pushing teams away

  • Automation workflows cannot be exported and must be fully rebuilt manually in the destination, making migration time-intensive for mature accounts.
  • Occasional performance freezes and bugs in the visual workflow builder frustrate power users managing complex automation logic.
  • Steep learning curve for complex automation setups, particularly for teams without a dedicated admin resource to manage the platform.
  • Per-contact pricing becomes expensive at scale, pushing growing agencies toward flat-rate alternatives like GoHighLevel.
  • Limited advanced analytics compared to enterprise platforms, driving mid-market firms toward HubSpot or Marketo.

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 Sharpspring objects map to Pipedrive

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

maps to

Pipedrive

Person

1:1
Fully supported

SharpSpring 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

maps to

Pipedrive

Organization

1:1
Fully supported

SharpSpring 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

maps to

Pipedrive

Deal

1:1
Fully supported

SharpSpring 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

maps to

Pipedrive

Pipeline + Stage

1:1
Fully supported

SharpSpring'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

maps to

Pipedrive

Custom Number Field (People)

1:1
Fully supported

SharpSpring'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

maps to

Pipedrive

Activity (type: call)

1:1
Fully supported

SharpSpring 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

maps to

Pipedrive

Activity (type: email)

1:1
Fully supported

SharpSpring 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

maps to

Pipedrive

Activity (type: meeting) / Task

1:1
Fully supported

SharpSpring 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

maps to

Pipedrive

Activity Note + Custom Field

1:1
Fully supported

SharpSpring 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

maps to

Pipedrive

Custom Field / Note (reference only)

1:1
Not supported

SharpSpring'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

maps to

Pipedrive

Person / Organization / Deal Labels

1:1
Mapping required

SharpSpring 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

maps to

Pipedrive

Custom Fields / Notes

1:1
Fully supported

SharpSpring 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

maps to

Pipedrive

Automations (reference export only)

1:1
Fully supported

SharpSpring 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

maps to

Pipedrive

Sequences (reference rebuild only)

1:1
Fully supported

SharpSpring 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

maps to

Pipedrive

Not applicable

1:1
Fully supported

SharpSpring'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.

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.

Sharpspring logo

Sharpspring gotchas

High

Visual Workflows cannot be exported

High

VisitorID tracking data is platform-locked

High

Landing pages lack any export mechanism

Medium

Custom fields must be pre-created in the destination

Medium

Dynamic list logic does not carry over

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

  • SharpSpring automation campaigns do not migrate — they must be rebuilt from exported definitions

    SharpSpring's visual workflow engine stores automation logic as a directed graph of triggers, conditions, and actions that has no structural equivalent in Pipedrive's automation model. Pipedrive Automations are condition-trigger workflows scoped to individual object events, whereas SharpSpring workflows can span multiple object types, use time-delay branching, and reference marketing campaign context. FlitStack exports each SharpSpring workflow as a JSON definition file listing triggers, conditions, action steps, and wait timers so your Pipedrive admin can reconstruct the logic manually. This is the largest post-migration rebuild task by hours.

  • SharpSpring's N:N contact-to-company model collapses to a single primary Organization in Pipedrive

    SharpSpring allows a contact to be associated with multiple companies simultaneously — a common pattern for consultants, channel sales, or multi-brand operations. Pipedrive's Person record has one primary Organization and supports secondary associations through Organization Contact Relationships, but the native import experience expects a single primary link. If a SharpSpring contact has more than one associated company, FlitStack migrates the most recently modified association as the primary Organization and surfaces the remaining company links in a custom multi-value field for manual cleanup. This requires admin review before go-live.

  • Pipedrive's token-based API rate limits introduced in December 2024 require batch sizing during migration

    Pipedrive enforces 80 requests per 2 seconds and 80,000 requests per day per API token across all plans. SharpSpring-to-Pipedrive migrations involving large activity histories or bulk deal imports can approach these limits on Professional and below plans. FlitStack implements exponential backoff and batch sizing based on the 80 req/2s ceiling — but customers on lower Pipedrive tiers may see migration run times extend because of throttling. We assess plan tier during scoping and advise if a higher Pipedrive plan or additional API tokens are needed for the migration window.

  • VisitorID tracking data has no Pipedrive equivalent and migrates as static reference text

    SharpSpring's VisitorID module tracks anonymous web visitors by IP address and cookie fingerprinting, assigning them to contacts when those visitors submit forms or are identified. This data is behavioral and time-sensitive — it changes every time a contact visits your site. Pipedrive has no native web visitor tracking. The migration captures the last-known visitor profile (pages viewed, first visit date, last visit date) as a text custom field or note on each Person record. Live visitor tracking must be re-established with a third-party tool such as Leadfeeder or LeadBoxer integrated with Pipedrive.

  • SharpSpring's lead scoring must be recreated — current scores migrate but the scoring engine does not

    SharpSpring lead scoring uses behavioral rules (page visits, email opens, form submissions) plus demographic rules (company size, industry, title) that fire continuously against a live contact database. The current score value migrates to a Pipedrive custom number field (SharpSpring_Score__c), but the underlying rules that produced that score have no equivalent in Pipedrive's standard automation model. Rebuilding the scoring logic in Pipedrive requires the AI Sales Assistant add-on (Advanced and above) or a custom automation that uses deal activities and stage changes as proxy signals. We document the SharpSpring scoring rules as part of the migration deliverable.

Migration approach

Six steps for a successful Sharpspring to Pipedrive data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

Context on both ends of the pair

Sharpspring logo

Sharpspring

Source

Strengths

  • Unlimited user pricing on all plans, unlike per-seat competitors, making it cost-effective for large teams.
  • All-in-one platform combining CRM, email, forms, landing pages, and automation without tool integration overhead.
  • VisitorID anonymous visitor tracking identifies company names from IP visits before form submission.
  • White-label and multi-client agency dashboard support built natively into the platform.
  • Transparent contact-volume-based pricing with all features included on every tier.

Weaknesses

  • No API-based or bulk export mechanism for automation workflows, requiring full manual rebuild in the destination.
  • Landing pages cannot be exported; content must be manually recreated in the target platform.
  • VisitorID anonymous visitor data is platform-locked and does not migrate to any destination.
  • Custom fields require manual pre-creation in the destination before contact import can proceed.
  • Visual workflow builder has reported performance issues and freezes during complex automation management.
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 Sharpspring 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

    Sharpspring: Not publicly documented; specific quota limits are not published on SharpSpring's developer documentation.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Sharpspring 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 Sharpspring to Pipedrive data migrations

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

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Most SharpSpring-to-Pipedrive migrations complete in 24–48 hours of clock time for under 30,000 total records. Larger setups with 300,000+ records, multiple deal pipelines, or extensive activity history extend to 5–10 days. The longest single step is usually Pipedrive schema setup — creating pipelines, stages, and custom fields — before any data moves. Planning and schema validation typically adds 2–4 days before the migration run.

Adjacent paths

Related migrations to explore

Ready when you are

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