CRM migration

Migrate from Results to Salesforce Sales Cloud

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

Results logo

Results

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

72%

13 of 18

objects map 1:1 between Results and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

4-6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Results to Salesforce Sales Cloud is a platform migration with limited publicly documented schema on the source side, requiring direct verification of export capabilities during scoping. Results supports Contacts, Companies, Deals, Pipelines, Activities, Custom Fields, and Attachments as core objects, but its API surface, rate limits, and field types must be confirmed against the customer's specific instance before field-level mapping is locked. We extract via the Results API or supported export format, transform data to Salesforce's typed schema, and load through the Bulk API 2.0 with parent-record lookup resolution for Activities. Workflows, automation rules, and custom-built integrations do not migrate as code; we deliver a written inventory for the customer's admin to rebuild in Salesforce Flow. We flag any Results-specific data (legacy calculated fields, restricted exports, or non-standard attachments) during scoping and resolve them before production migration begins.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How Results objects map to Salesforce Sales Cloud

Each row shows how a Results object lands in Salesforce Sales Cloud, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Results

Contact

maps to

Salesforce Sales Cloud

Lead or Contact (split required)

1:many
Fully supported

Results Contacts without a Company association or in a pre-qualification stage map to Salesforce Lead. Results Contacts attached to a Company and marked as active buyers map to Salesforce Contact tied to an Account. We compute the split during scoping based on the customer's Results instance configuration, apply it as the first transform during migration, and preserve the original Results contact status in a custom field results_contact_status__c on both Lead and Contact for audit trail integrity.

Results

Company

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Results Company records map directly to Salesforce Account. The Company domain or website field becomes the Account's Website field and is used as the dedupe key during import. Account is created before any Contact import so that the AccountId Lookup relationship is satisfied at the moment of Contact insert.

Results

Deal

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Results Deals map to Salesforce Opportunity. The Results deal stage maps to Salesforce StageName, and the pipeline assignment maps to a Salesforce Sales Process or Record Type that we configure before migration. Deal value, close date, and owner migrate directly. Any Results custom deal fields map to custom Opportunity fields created in the destination org.

Results

Deal Stage

maps to

Salesforce Sales Cloud

Opportunity Stage

lossy
Fully supported

Each Results pipeline becomes a Salesforce Record Type with a corresponding Sales Process that whitelists the relevant stage values. Stage probability percentages migrate from Results to Salesforce StageProbability, rounded to the nearest integer allowed by the platform.

Results

Pipeline

maps to

Salesforce Sales Cloud

Record Type + Sales Process

lossy
Fully supported

Results pipelines map to Salesforce Record Types on Opportunity. Each Record Type gets its own Page Layout and Sales Process so that stage values remain scoped per line of business. If Results supports multiple pipelines, each maps to a separate Record Type.

Results

Product

maps to

Salesforce Sales Cloud

Product2

1:1
Fully supported

Results Products map to Salesforce Product2 records with Standard Price Book entries created during import. Product code or SKU migrates to ProductCode on Product2.

Results

Line Item

maps to

Salesforce Sales Cloud

OpportunityLineItem

1:1
Fully supported

Results Line Items map to Salesforce OpportunityLineItem. We resolve the Pricebook2 reference, the Product2 reference, and the parent Opportunity at migration time. Quantity, UnitPrice, and TotalPrice migrate directly. If Results supports bundle or sub-line structures, we flatten them per the customer's preferred Salesforce data model.

Results

Owner

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Results Owners map to Salesforce User records by email match. Any Results Owner without a matching Salesforce User is held in a reconciliation queue for the customer's admin to provision before record import resumes. Inactive owners receive an inactive User with the correct email to preserve historical assignment.

Results

Engagement: Email

maps to

Salesforce Sales Cloud

EmailMessage + Task

1:1
Fully supported

Results email engagements migrate to Salesforce EmailMessage records (email content) linked to an Activity Task record (activity timeline entry). The WhoId on Task points to the Lead or Contact; WhatId points to the related Opportunity or Account. Email body and headers preserve with original timestamp.

Results

Engagement: Call

maps to

Salesforce Sales Cloud

Task (TaskSubtype = Call)

1:1
Fully supported

Results call engagements map to Salesforce Task with TaskSubtype = Call. Call disposition, duration, and any recording URL transfer to custom Task fields. Activity timeline ordering is preserved by setting ActivityDate to the original Results timestamp.

Results

Engagement: Meeting

maps to

Salesforce Sales Cloud

Event

1:1
Fully supported

Results meeting engagements map to Salesforce Event. StartDateTime, EndDateTime, and Location preserve. Attendee mapping links to EventRelation records pointing at the related Leads, Contacts, and Users. If Results stores meeting notes, those migrate as Task records linked to the Event.

Results

Engagement: Note

maps to

Salesforce Sales Cloud

Note

1:1
Fully supported

Results Notes migrate to Salesforce Note records linked via ContentDocumentLink to the parent record (Lead, Contact, Account, Opportunity). Note body migrates as rich text. Any embedded images in Results notes are extracted and stored as separate ContentDocument records.

Results

Engagement: Task

maps to

Salesforce Sales Cloud

Task

1:1
Fully supported

Results Task engagements map to Salesforce Task with Status, Priority, and ActivityDate preserved. Task assignment migrates by resolving the Results owner reference to Salesforce OwnerId via the User mapping. Open/closed status maps directly to Salesforce Task Status values.

Results

Ticket

maps to

Salesforce Sales Cloud

Case

1:1
Fully supported

Results Tickets migrate to Salesforce Case if the destination org includes Service Cloud or if the customer enables Cases on their Sales Cloud org. Ticket pipeline becomes Case Record Type, ticket stages become Case Status values, and ticket comments migrate as CaseComments linked to the Case.

Results

Custom Field

maps to

Salesforce Sales Cloud

Custom Field

lossy
Fully supported

Results custom fields map to Salesforce custom fields with equivalent data types. We verify field type compatibility during scoping (text vs. textarea, number vs. currency, date vs. datetime, single-select vs. picklist). Multi-select picklist values from Results become Salesforce multi-select picklists. Required field constraints on Results custom fields map to either required Salesforce fields or validation rules depending on the customer's preference.

Results

Custom Object

maps to

Salesforce Sales Cloud

Custom Object

1:1
Fully supported

Results custom objects migrate to Salesforce custom objects of equivalent API name. We pre-create the destination schema in Salesforce before any data import, including all custom fields, lookup relationships to standard objects (Account, Contact, Opportunity), and validation rules. Custom object naming follows Salesforce __c suffix convention matched to the Results object API name.

Results

Attachment

maps to

Salesforce Sales Cloud

ContentDocument

1:1
Fully supported

Results Attachments migrate to Salesforce ContentDocument records linked via ContentDocumentLink to the parent record (Contact, Account, Opportunity). We extract binary file content and metadata (filename, content type, size) and reconstruct them in Salesforce. If Results stores attachments inline within notes or activities, we extract and promote them to standalone ContentDocument records.

Results

Tag

maps to

Salesforce Sales Cloud

Multi-Select Picklist or Topic

lossy
Fully supported

Results tags stored as multi-checkbox properties migrate to Salesforce multi-select picklist fields on the target object. Tags used for content classification migrate to Salesforce Topics with TopicAssignment records linked to the relevant object. The customer chooses the tag strategy during scoping based on reporting needs.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • Results API surface requires direct verification before field mapping

    Results CRM has limited publicly documented API behavior, including export endpoints, rate limits, and field type definitions. We verify export capability, pagination behavior, and field accessibility during the scoping call against the customer's specific instance. Any fields marked as restricted, computed-only, or not exportable via API require a manual extract workaround before migration can proceed. Skipping this verification step risks discovering mid-migration that a key field cannot be pulled programmatically, forcing a manual export and reconciliation that extends timelines by two to four weeks.

  • Automation rules do not migrate to Salesforce Flow

    Results automation rules (workflow triggers, conditional actions, assignment rules, and notification automations) do not migrate as code to Salesforce Flow because they are architecturally different. We deliver a written inventory of every active automation in Results with its trigger conditions, actions, and a recommended Salesforce Flow equivalent. The customer's admin rebuilds them in Flow post-migration. This inventory delivery is standard scope; Flow rebuild is outside migration scope.

  • Activity history exceeds CSV loader capacity and requires Bulk API

    Salesforce's Data Import Wizard and standard Data Loader are not suitable for large engagement migrations. If the Results instance contains more than 50,000 activity records (emails, calls, meetings, tasks), we use the Salesforce Bulk API 2.0 with batch chunking, parent-record lookup resolution (WhoId on Task, WhatId on Task, AccountId on Event), and exponential backoff on API limit responses. Without Bulk API, large activity migrations time out or silently drop records, breaking the historical timeline that sales reps rely on.

  • Salesforce validation rules and field-level security can reject records

    Salesforce orgs commonly enforce validation rules (required formats, conditional required fields, picklist whitelists) and field-level security that prevent import if the migration user lacks bypass permissions. We coordinate with the customer's Salesforce admin to grant the migration user Modify All Data and Bulk API permissions, and we either temporarily disable validation rules during load or extend them with a migration-context check. Without this coordination, first-import rejection rates of 5-30 percent are common and require rework cycles.

  • Attachment file size limits and Salesforce storage consumption

    Salesforce limits individual file uploads to 25 MB per ContentVersion record, and org storage limits apply to all ContentDocument files. Results attachments exceeding 25 MB must be split or linked externally (stored in a cloud file service with a URL field on the Salesforce record). Additionally, Salesforce has a free attachment storage limit per org tier; organizations exceeding that limit pay per GB of additional storage. We calculate total attachment volume during scoping and flag storage cost implications before migration.

Migration approach

Six steps for a successful Results to Salesforce Sales Cloud data migration

  1. Discovery and API verification

    We audit the source Results instance across standard objects (Contacts, Companies, Deals, Pipelines, Activities), custom fields, custom objects, and any known integrations or restricted data. Because Results has limited public API documentation, we run a direct API probe against the customer's instance to confirm export endpoints, pagination behavior, field accessibility, and rate limits. The discovery output is a written migration scope with confirmed exportable objects, field-level mapping, and any fields requiring manual extraction workaround.

  2. Schema design in Salesforce Sandbox

    We design the destination schema in a Salesforce Sandbox. This includes provisioning custom objects (with __c API names matched to Results object names where applicable), custom fields (with Salesforce field types mapped from Results field types), Record Types (one per Results pipeline), Sales Processes (stage whitelist per Record Type), Page Layouts, and the Lead-Contact split rule based on the customer's Results contact model. Schema is deployed via metadata API or change set into the Sandbox first for validation before any data moves.

  3. Sandbox migration pilot and reconciliation

    We run a full migration into the Salesforce Sandbox using production-like data volume extracted from Results. The customer's RevOps or admin lead reconciles record counts (Contacts in, Leads in, Accounts in, Opportunities in, Activities in), spot-checks 25-50 random records against the Results source, and signs off the schema and mapping before production migration begins. Any mapping corrections happen in the Sandbox, not in production.

  4. Owner reconciliation and User provisioning

    We extract every distinct Results Owner referenced on Contact, Company, Deal, and Engagement records and match by email against the Salesforce destination org's User table. Owners without a matching User go to a reconciliation queue. The customer's Salesforce admin provisions any missing Users (active or inactive depending on whether the original Results user is still active). Migration cannot proceed past this step because OwnerId references are required on most standard objects.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Users (manual provisioning, validated), Accounts (from Results Companies), Contacts (with AccountId resolved and Lead-Contact split applied), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Products and Pricebook entries, Line Items, Activity history (Tasks, Events, EmailMessages via Bulk API 2.0), Notes, Attachments (via ContentVersion), Custom Objects (last, because they often have lookups to standard objects), and finally Tags (as multi-select picklists or Topics). Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and automation handoff

    We freeze Results writes during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We deliver the Results automation inventory document to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team. Automation rebuild in Salesforce Flow, workflow reconstruction, and post-migration admin training are outside standard scope and are handled as separate engagements.

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.
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

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 Salesforce Sales Cloud.

  • 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 Salesforce Sales Cloud 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 Salesforce Sales Cloud data migrations

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

Can't find your answer?

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Migrations land between four and six weeks for accounts under 25,000 Contacts and 5,000 Deals where the Results API export is confirmed and the schema is straightforward. Migrations with custom objects, large engagement histories (over 200,000 activity records), complex attachment structures, or multi-org Salesforce destinations move to eight to fourteen weeks because of API verification overhead, Bulk API time, and activity reconciliation. The primary timeline variable for Results is the time required to verify export capability during scoping, which can add one to two weeks if the API behaves unexpectedly.

Adjacent paths

Related migrations to explore

Ready when you are

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