CRM migration

Migrate from SalesTown CRM to Pipedrive

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

SalesTown CRM logo

SalesTown CRM

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

70%

7 of 10

objects map 1:1 between SalesTown CRM and Pipedrive.

Complexity

BStandard

Timeline

4-6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Migrating from SalesTown CRM to Pipedrive requires working around a platform that has no public API and stores WhatsApp conversations as flattened individual rows rather than threaded records. We plan extraction around SalesTown's in-product CSV export row and field caps, running multiple export cycles to paginate through large datasets. Pipelines and Stages are configured in Pipedrive before any Deals load, the Lead versus Contact split is resolved during scoping based on SalesTown lead status, and WhatsApp thread relationships are reconstructed during the transform phase using timestamp ordering and sender IDs to rehydrate conversation continuity in Pipedrive's activity timeline. Owner and user records migrate first so that Deals and Leads carry valid owner references throughout. SalesTown's custom templates and reporting configurations do not migrate; we deliver a written inventory of template metadata and underlying data for rebuild in Pipedrive.

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

SalesTown CRM logo

SalesTown CRM

What's pushing teams away

  • Integration ecosystem is limited — enterprise teams report needing third-party software that SalesTown CRM does not support, forcing workarounds or dual-system manual syncing.
  • iPhone-only mobile app with 6-inch minimum screen requirement excludes iPad users and smaller devices, creating friction for field reps on varied hardware.
  • Lack of documented public API means teams needing programmatic data access or third-party integrations hit a wall, driving migration to platforms with open REST APIs.

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 SalesTown CRM objects map to Pipedrive

Each row shows how a SalesTown CRM 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.

SalesTown CRM

Contact

maps to

Pipedrive

Person

1:1
Fully supported

SalesTown Contact records map to Pipedrive People (Person object). Standard fields including name, phone, and email migrate directly. Custom properties on SalesTown Contacts map to Pipedrive custom fields on the Person object. Owner assignment migrates by resolving the SalesTown owner email to a Pipedrive User record. Contacts that represent companies rather than individuals are flagged during scoping for potential Organization merge during transform.

SalesTown CRM

Lead

maps to

Pipedrive

Lead

1:1
Fully supported

SalesTown Leads are the primary acquisition object and map to Pipedrive Leads. Smart distribution rules, lead scoring, and segmentation values migrate as Pipedrive custom fields on the Lead object. We run a scoping check to determine whether each SalesTown Lead should become a Pipedrive Lead or Person record based on qualification status at migration time, since Pipedrive supports both object types with different lifecycle positions.

SalesTown CRM

Company (Account)

maps to

Pipedrive

Organization

1:1
Fully supported

SalesTown Company records map to Pipedrive Organizations. The Company field schema is not publicly documented in SalesTown CRM, so we inspect the CSV export during discovery, map available fields to Organization Name, address, and custom fields, and flag any unmapped fields for post-migration admin review. Organization is created before any Person import so that the Organization lookup is satisfied at Person insert.

SalesTown CRM

Deal

maps to

Pipedrive

Deal

1:1
Fully supported

SalesTown Deals carrying amount, stage, owner, and expected close date map directly to Pipedrive Deals. Closed-won and closed-lost reasons from SalesTown custom properties become Pipedrive Deal lost_reason fields. Owner references migrate by resolving the SalesTown user email to the Pipedrive User ID established during the user migration phase.

SalesTown CRM

Pipeline

maps to

Pipedrive

Pipeline

lossy
Fully supported

SalesTown Pipelines with customizable Stages map to Pipedrive Pipelines. We export pipeline names, stage order, and stage-specific win/loss flags during discovery, recreating Pipelines in Pipedrive before any Deals load. Pipedrive Pipelines are created via API during the schema setup phase so that Deals have a valid pipeline_id reference at insert time.

SalesTown CRM

Pipeline Stage

maps to

Pipedrive

Pipeline Stage

lossy
Fully supported

Pipeline Stages carry names, probabilities, and ordering in SalesTown CRM. We map stage-to-stage explicitly by name rather than by position to handle cases where source and destination pipelines have different stage counts. Stage probability percentages migrate from SalesTown to Pipedrive stage_probability values, rounding to the nearest integer allowed by Pipedrive.

SalesTown CRM

Activity (WhatsApp, Email, Call)

maps to

Pipedrive

Activity (Task)

1:1
Fully supported

SalesTown Activities including WhatsApp messages, emails, and calls map to Pipedrive Activity records. WhatsApp thread metadata including message status and timestamp sequences are stored as flattened individual rows in the SalesTown CSV export, so we reconstruct thread relationships during transform by grouping rows by contact ID and timestamp ordering. Each reconstructed message becomes a Pipedrive Activity record linked to the corresponding Person or Organization. SalesTown email activities become Activity records with type email; call activities become Activity records with type call and call_duration preserved.

SalesTown CRM

User / Owner

maps to

Pipedrive

User

1:1
Fully supported

SalesTown Users map to Pipedrive Users by email address match. The SalesTown user email is used as the unique identifier for owner resolution during Deal and Lead import. Email addresses must be unique at the destination to avoid duplicate user creation. We validate that all owner email addresses from SalesTown have matching Pipedrive Users before record import begins; any unmatched owners go to a reconciliation queue for admin provisioning.

SalesTown CRM

Custom Templates

maps to

Pipedrive

Email Templates / Custom Fields

lossy
Mapping required

SalesTown custom templates for emails and communications have no documented schema, making automated body migration unreliable. We export available template metadata including name, subject, and any visible field placeholders, flagging template body mapping as a post-migration cleanup task for the admin. The inventory is delivered as a written handoff document listing each template requiring manual recreation in Pipedrive.

SalesTown CRM

Reports / Dashboards

maps to

Pipedrive

N/A

1:1
Not supported

SalesTown CRM reporting and dashboard definitions are stored server-side with no documented export mechanism. We migrate the underlying data so reports can be rebuilt in Pipedrive Insights, but report configurations do not migrate. The admin receives a written inventory of every SalesTown report with its data source fields listed so that the equivalent Pipedrive report can be configured post-migration.

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.

SalesTown CRM logo

SalesTown CRM gotchas

Medium

iPhone-only app excludes iPad and small-screen devices

High

No documented public API for programmatic export

Medium

WhatsApp activity thread integrity across migration

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

  • No API means migration runs on CSV exports with per-tier row caps

    SalesTown CRM does not publish a developer API reference, public endpoint documentation, or rate limit guidance. All known data exports use the in-product CSV or Excel export, which is subject to the platform's own row and field caps per tier. We plan extraction around these limits and run multiple export cycles to paginate through large datasets, treating the export as a scheduled batch rather than a live API pull. Discovery scoping must account for the additional time required to run, download, and validate multiple CSV batches before any transformation work begins.

  • WhatsApp thread flattening breaks conversation continuity

    WhatsApp activities in SalesTown CRM carry thread-level metadata including message status and timestamp sequences, but flat CSV exports split these into individual rows, losing parent-child thread associations. We reconstruct thread relationships during the transform phase using timestamp ordering and sender IDs, rehydrating conversation continuity as a series of Pipedrive Activity records. Without explicit thread reconstruction, the migrated WhatsApp history in Pipedrive appears as a list of unrelated messages rather than a coherent conversation thread.

  • Pipedrive custom fields apply to both Deals and Leads simultaneously

    In Pipedrive, when a custom field is created for Deals, the same field with identical name and properties is automatically created for Leads. This is by design in Pipedrive and differs from SalesTown CRM's per-object field scoping. Any custom fields that existed exclusively on Deals in SalesTown will appear on both Deals and Leads in Pipedrive after migration. We document this behavioral difference during scoping and flag any fields where single-object scoping is expected so the admin can review post-migration.

  • Activity history must migrate last due to API rate limit handling

    Pipedrive's API enforces rate limits on write operations, and large activity histories (tens of thousands of call, email, and WhatsApp records) require chunked batch processing with exponential backoff on limit responses. We sequence activity migration as the final phase after all parent records (People, Organizations, Deals) are confirmed loaded, because each Activity record requires a valid Person or Organization ID reference. If activities migrate before parent records, the WhoId and OrgId lookups fail silently and the activity appears orphaned in Pipedrive.

  • Reports and custom template bodies do not migrate

    SalesTown CRM's reporting and dashboard definitions are stored server-side with no documented export mechanism, and custom email template bodies have no reliable schema for automated migration. We migrate underlying data so reports can be rebuilt in Pipedrive Insights and email templates can be recreated in Pipedrive's template editor, but the report configurations and template bodies do not transfer. The admin receives a written inventory of each report's source fields and each template's metadata to guide the rebuild.

Migration approach

Six steps for a successful SalesTown CRM to Pipedrive data migration

  1. Discovery and CSV export planning

    We audit the SalesTown CRM instance for record volumes across Contacts, Leads, Companies, Deals, Activities, and Users. Because SalesTown has no API, we identify the CSV export row caps per tier and plan multiple export cycles to paginate through the full dataset. We document pipeline names, stage orders, custom field names, and owner assignments during this phase. The discovery output is a written migration scope with export cycle plan, object counts, and a preliminary field mapping based on the CSV headers.

  2. Target schema setup in Pipedrive

    We configure Pipedrive Pipelines and Stages to match the SalesTown pipeline structure before any Deals load. This means creating Pipelines via Pipedrive's API, adding each Stage with its name, probability, and order, and verifying that stage-to-stage mapping will resolve at migration time. We create any custom fields required by the field mapping, noting that custom fields in Pipedrive apply to both Deals and Leads simultaneously. Pipedrive's native Import2 tool supports only major platforms, so this phase uses the Pipedrive REST API for schema deployment.

  3. Data export, transform, and WhatsApp thread reconstruction

    We run the planned CSV export cycles from SalesTown, downloading batches and assembling them into a complete dataset. During transform, we apply field mapping logic, clean dirty data (inconsistent phone formats, duplicate records), and reconstruct WhatsApp thread relationships by grouping rows by contact ID and conversation thread, then ordering by timestamp to restore message sequence. Any SalesTown custom fields not mapped to Pipedrive fields are flagged in a deferred list for admin review. Custom template bodies are exported as metadata only and flagged for manual rebuild.

  4. Production migration in dependency order

    We migrate to Pipedrive in record-dependency order. Users are migrated first (validated against pre-provisioned Pipedrive accounts) so that owner lookups resolve correctly. Organizations are migrated next (from SalesTown Companies). Leads and People follow, with the Lead-versus-Person split decision applied at transform time. Deals are loaded with pipeline_id, stage_id, owner_id, and Organization lookups resolved. Activity records migrate last, with chunked batches and exponential backoff on API rate limit responses to prevent write failures on large activity histories.

  5. Validation and reconciliation

    We run record-count reconciliation between SalesTown exports and Pipedrive inserted records for each object type. We spot-check 25-50 records per object against the SalesTown source to verify field values, owner assignments, and relationship integrity. Activity records are validated for thread continuity by checking timestamp ordering and sender grouping. Any records that failed insert (validation rule rejection, missing required field) are collected in a skip report for admin resolution before the next phase.

  6. Cutover and handoff documentation

    We freeze SalesTown CRM writes at cutover, run a final delta migration of any records modified during the migration window, then mark Pipedrive as the system of record. We deliver the migration handoff document covering object counts, unmapped fields list (with SalesTown source field names), custom template inventory (for manual rebuild in Pipedrive), and the pipeline and stage configuration summary. We do not rebuild SalesTown automations as Pipedrive workflow automations; the inventory of active automations is documented for the admin to rebuild in Pipedrive's automation builder.

Platform deep dives

Context on both ends of the pair

SalesTown CRM logo

SalesTown CRM

Source

Strengths

  • WhatsApp and email automation built into the core product rather than bolted on.
  • Lead scoring and segmentation tools for prioritizing high-value prospects.
  • Customizable dashboards and reporting for sales performance analysis.
  • Auto lead collection from multiple sources with smart distribution rules.
  • Simple self-implementation without requiring third-party consultants.

Weaknesses

  • No publicly documented API limits or endpoint reference, making programmatic migration planning difficult.
  • Integration ecosystem is limited — enterprise teams report gaps with common third-party platforms.
  • iPhone-only mobile app excludes iPads and devices under 6 inches, restricting field team hardware options.
  • Pricing structure is not publicly transparent, requiring direct enquiry to determine module costs.
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 SalesTown CRM 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

    SalesTown CRM: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your SalesTown CRM 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 SalesTown CRM to Pipedrive data migrations

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

Can't find your answer?

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Most tier2 migrations land between four and six weeks for accounts under 10,000 combined Contacts and Deals with straightforward Pipelines and no multi-cycle CSV export requirements. Migrations with large activity histories, multiple Pipelines, or datasets that require more than three CSV export cycles move to eight to fourteen weeks because of the additional export pagination cycles, thread reconstruction work, and extended validation. Discovery and export planning take one to two weeks; Pipedrive schema setup takes one to two weeks; actual data migration takes one to two weeks depending on volume.

Adjacent paths

Related migrations to explore

Ready when you are

Move from SalesTown CRM.
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