CRM migration

Migrate from Results to Pipedrive

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

Results logo

Results

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

70%

7 of 10

objects map 1:1 between Results and Pipedrive.

Complexity

BStandard

Timeline

2-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Results is a CRM with limited publicly documented API access, which means migration scope must be verified during scoping rather than assumed from public documentation. We begin every Results migration with a data audit and sample export to confirm what object types, fields, and attachments are exportable, then map findings against Pipedrive's REST API v2. Pipedrive's object model uses Organizations (Companies), Persons (Contacts), Deals, Activities (calls, emails, meetings, tasks), and Products with strict field-level type validation in API v2. We flag any Results objects without a clear Pipedrive equivalent during scoping, handle orphaned Deals (Deals without a linked Company in Results) before import to satisfy Pipedrive's relationship requirements, and use the Pipedrive API's custom field endpoints to replicate Results custom fields with correct type mapping. Pipelines, stages, and automations require pre-configuration in Pipedrive before migration and are not replicated from Results.

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

Results logo

Results

What's pushing teams away

  • Architecture limits — the platform is positioned for SMBs and not designed to scale beyond ~15 users or 15,000 contacts, prompting growing teams to migrate to enterprise platforms.
  • No public REST API documentation or developer portal — custom integrations beyond the published connectors depend on vendor engagement or Zapier middleware.
  • QuickBooks-centric integration story leaves teams running NetSuite, Xero, or Sage looking elsewhere for native bidirectional accounting sync.
  • Heavy reliance on Windows and Office desktop environments may not fit fully browser-native or macOS/Linux remote workforces.
  • Limited public review volume on G2 and a small community footprint make benchmarking and peer-comparison harder than for category leaders.

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 Results objects map to Pipedrive

Each row shows how a Results 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.

Results

Company

maps to

Pipedrive

Organization

1:1
Fully supported

Results Companies map to Pipedrive Organizations. The company domain or website field from Results becomes the Organization's Website field and serves as the deduplication key during import. We resolve any duplicate Organizations by matching on domain before insert to prevent orphaned or split company records in Pipedrive.

Results

Contact

maps to

Pipedrive

Person

1:1
Fully supported

Results Contacts map to Pipedrive Persons. Name, email, phone, and address fields migrate directly. Each Person is linked to its parent Organization via the org_id field, which we resolve at migration time by matching the Contact's company reference to the Organization created in the previous phase.

Results

Deal

maps to

Pipedrive

Deal

1:1
Fully supported

Results Deals map to Pipedrive Deals with stage, value, owner, and close date preserved. Stage probability percentages are calculated from Results deal stage percentages if available. Pipedrive requires a linked Organization (WhatId) on each Deal; we resolve this linkage from the Results deal-company relationship. Any Deals without a company link enter a reconciliation queue for the customer to resolve before final import.

Results

Pipeline

maps to

Pipedrive

Pipeline

lossy
Fully supported

Results pipelines map to Pipedrive Pipelines. We create the Pipeline structure in Pipedrive (pipelines and stages) before migration begins. Stage names and probabilities migrate from Results stage values. Pipedrive requires pipelines to exist before Deals are imported, so this is a pre-migration configuration step.

Results

Activity

maps to

Pipedrive

Activity

1:1
Fully supported

Results engagement records (calls, emails, meetings, tasks) map to Pipedrive Activity objects using type-specific endpoints. Activity type, subject, content, date, and duration fields migrate with original timestamps preserved to maintain the activity timeline ordering. We map call disposition and outcome values to custom Activity fields in Pipedrive.

Results

Custom Field

maps to

Pipedrive

Custom Field

lossy
Fully supported

Results custom fields migrate to Pipedrive custom fields. We pre-create the destination custom fields in Pipedrive during the schema phase with correctly typed field definitions (text, number, date, dropdown, checkbox, etc.) to satisfy Pipedrive API v2 strict validation. Field type mapping requires verification during the Results scoping call since Results field types may differ from Pipedrive equivalents.

Results

Owner

maps to

Pipedrive

User

1:1
Fully supported

Results owners map to Pipedrive users by email address match. We extract all distinct owner values from Results records, match against the Pipedrive destination user list, and flag any owners without a matching Pipedrive user for manual provisioning before migration resumes. Owner resolution must complete before Deal import because OwnerId is a required reference on Deals.

Results

Attachment

maps to

Pipedrive

ContentDocument

lossy
Fully supported

Results attachments migrate as Pipedrive ContentDocument records with ContentDocumentLink associations to the parent record (Person, Organization, or Deal). Pipedrive imposes file size limits and supports specific file types. We verify attachment sizes against Pipedrive's limits during the scoping export and flag any files requiring alternative handling (e.g., hosted links or cloud storage references).

Results

Company-Deal linkage

maps to

Pipedrive

Deal-Organization WhatId

1:1
Fully supported

Pipedrive enforces that each Deal has a WhatId pointing to an Organization. Results Deals can exist without a linked Company, which requires resolution before Pipedrive import. We offer three handling strategies: create a placeholder Organization for unlinked Deals, link them to a designated parent account, or let the customer decide per-record during a reconciliation review before final import.

Results

Product

maps to

Pipedrive

Product

1:1
Fully supported

Results Products map to Pipedrive Products with name, SKU, price, and description preserved. Standard Price Book entries are created in Pipedrive during import. Products must exist before Line Items are imported so that the product reference is satisfied at insert time.

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.

Results logo

Results gotchas

High

QuickBooks-linked records have dual sources of truth

Medium

Suite is not architected to scale beyond ~15 users / 15K contacts

Medium

No documented public REST API

Medium

Field Service photos and signatures require separate binary extraction

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

  • Results has limited public API documentation

    Results does not publish comprehensive API documentation publicly, which means we cannot pre-define the exact schema or field list before engagement. Every Results migration begins with a scoping call and sample data export to verify object types, field availability, export format, and attachment support. We do not commit to migration scope until we have confirmed what can actually be extracted. Customers should be prepared for a verification phase before final scope sign-off.

  • Pipedrive API v2 rejects invalid field types

    Pipedrive API v2 enforces strict input validation. Boolean fields that previously accepted 1 and 0 now require true and false. Numeric fields reject string input and throw validation errors. Timestamps must use RFC 3339 format. We transform all field values to match Pipedrive's expected types before each API call and validate custom field types during schema pre-configuration. Migrations that skip this step will see record rejection errors in the import log.

  • Results Deals may lack Organization linkage

    Results allows Deals to exist without a linked Company. Pipedrive requires the WhatId field on Deals to reference an Organization. During migration, we identify all orphaned Deals (Deals without a company_id) and hold them in a reconciliation queue. We create placeholder Organizations, link to a designated parent account, or defer to the customer depending on the chosen resolution strategy. Pipedrive will reject Deals without a valid WhatId.

  • Custom field types must be pre-mapped

    Results custom fields may use data types that do not map directly to Pipedrive equivalents. Dropdown fields in Results may map to single-select or multi-select picklists in Pipedrive. Number fields may require precision decisions (integer vs decimal). Date fields require timezone normalization. We resolve all field type decisions during the scoping phase and create Pipedrive custom fields before data migration begins.

  • Pipedrive has no free tier

    Pipedrive does not offer a permanent free CRM plan; it provides a 14-day free trial. All long-term access requires a paid per-user subscription starting at $14/user/month on annual Essential plan. We confirm the customer's Pipedrive trial or paid account is active before beginning migration to avoid API access issues during import.

Migration approach

Six steps for a successful Results to Pipedrive data migration

  1. Discovery and Results schema verification

    We conduct a scoping call to verify Results export capabilities and schema. We request a sample data export to confirm object types, field lists, field types, custom object presence, calculated fields, and attachment availability. We document every Results object and field with its data type and flag any that cannot be mapped to a Pipedrive equivalent. This step produces a written migration scope and field mapping workbook before any data moves.

  2. Pipedrive schema pre-configuration

    We configure Pipedrive before migration begins. This includes creating Pipelines and Stages (which must exist before Deals import), creating custom fields with correctly typed definitions, setting up Organization and Person field layouts, provisioning users for owner matching, and configuring any custom objects or product records needed for the migration. Pipedrive schema is set up in a staging context and validated before production migration.

  3. Data extraction and quality audit

    We extract all records from Results in dependency order, starting with Organizations and Persons (the parent records), then Deals, then Activities. We run a data quality audit to identify duplicate records, records with missing required fields (especially email addresses on Contacts and Organization links on Deals), inconsistent date formats, and records that cannot be mapped. We produce a data quality report and resolve issues in coordination with the customer's Results admin before migration.

  4. Data transformation and field mapping

    We transform Results records to match Pipedrive's field definitions. This includes resolving the organization-deal linkage (WhatId), matching owner emails to Pipedrive user IDs, converting date formats to RFC 3339, mapping custom field values to Pipedrive custom field types, and handling orphaned Deals through the agreed resolution strategy. We load transformed data into the staging Pipedrive account for validation before production migration.

  5. Production migration in dependency order

    We run production migration in the correct dependency sequence: Organizations first (since Persons and Deals reference them), then Persons with org_id resolved, then Deals with WhatId resolved, then Activities with parent record references established, then Attachments as ContentDocument records. Each phase produces a row-count reconciliation report. We use Pipedrive API v2 endpoints with rate-limit handling and exponential backoff on 429 responses.

  6. Cutover, validation, and rebuild handoff

    We freeze new data entry in Results during cutover, run a final delta migration of any records created or updated during the migration window, validate record counts in Pipedrive, and confirm Pipedrive is set as the system of record. We deliver a written inventory of automations and workflows requiring manual rebuild in Pipedrive and do not migrate them as code. We provide a one-week hypercare window to resolve post-migration reconciliation issues raised by the sales team.

Platform deep dives

Context on both ends of the pair

Results logo

Results

Source

Strengths

  • Tight QuickBooks Desktop and Online integration eliminates double-entry between CRM and accounting.
  • Bundled CRM, Sales, Business, and Field Service modules in one suite reduce tool sprawl for service SMBs.
  • Field Service module at $10/user/month adds mobile photo/signature capture and on-site checklists at low marginal cost.
  • Choice of one-time perpetual license or month-to-month rent-to-own subscription accommodates SMB cash flow constraints.
  • Pre-built integrations with AvaTax, Zapier, Outlook, Gmail, SMS, WhatsApp, and Calendly cover common SMB stack needs.

Weaknesses

  • Not architected to scale beyond ~15 users or 15,000 contacts.
  • No documented public REST API; custom integrations require Zapier or vendor engagement.
  • QuickBooks-centric story leaves NetSuite/Xero/Sage customers without native integration.
  • Windows/Office desktop dependencies limit fit for fully browser-native or macOS/Linux teams.
  • Limited public review volume on G2 and small community footprint complicate vendor comparison.
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 Results 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

    Results: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Results 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 Results to Pipedrive data migrations

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

Can't find your answer?

Walk through your Results to Pipedrive migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most migrations land between two and three weeks for straightforward datasets under 3,000 records. Migrations with custom objects, orphaned deal resolution, large activity histories, or multiple pipelines extend to five to eight weeks because of the Results schema verification step and the Pipedrive custom field and pipeline pre-configuration work required before data moves.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Results.
Land in Pipedrive, intact.

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