CRM migration
Field-level mapping, validation, and rollback between Atendare and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Atendare
Source
Freshsales
Destination
Compatibility
6 of 9
objects map 1:1 between Atendare and Freshsales.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Migrating from Atendare to Freshsales is a cross-platform move from a quotation-priced Brazilian all-in-one CRM to a per-seat SaaS CRM with documented APIs, a mature AppExchange-equivalent marketplace, and transparent tiered pricing starting at $9 per user per month. The primary technical constraint on the Atendare side is the absence of publicly available API documentation, which means we must contact the Atendare vendor directly during scoping to confirm endpoint availability, authentication method, and supported objects before finalizing any migration scope. We migrate Contacts, Companies, Deals, Activities, and Custom Properties using Freshsales REST API with batch chunking and parent-record lookup resolution. Pipeline stages and deal probabilities map to Freshsales sales processes. Landing pages, email campaign templates, and automation flows do not migrate as code; we deliver a written inventory of these assets for the customer's admin to rebuild. Proposals and Contracts are extracted from Atendare where the Enterprise-tier API exposes them and migrate as document records to Freshsales.
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 Atendare object lands in Freshsales, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Atendare
Contact
Freshsales
Contact
1:1Atendare Contact records map to Freshsales Contact objects with name, email, phone, address, owner assignment, and custom properties preserved. We use email as the dedupe key during import. Any segmentation tags or lifecycle properties stored on the Atendare Contact migrate as custom fields or multi-select picklist values. Freshsales requires custom fields to be pre-created in Admin Settings before import; we handle this during the schema phase so that the CSV column headers match destination field API names exactly.
Atendare
Company
Freshsales
Account
1:1Atendare Company records map to Freshsales Account. The company-contact relationship is preserved by resolving the Atendare company_id foreign key to the Freshsales Account record before Contact import begins. Company-level custom fields migrate as Freshsales Account custom fields created in the same schema phase. Website, industry, annual revenue, and address fields map directly to Freshsales Account equivalents.
Atendare
Deal
Freshsales
Deal
1:1Atendare Deals map to Freshsales Deals with deal name, value, expected close date, stage, owner, and associated company preserved. The deal-to-company link resolves to the Freshsales Account record by email domain or company name match. Atendare stage names and probabilities map to a Freshsales Sales Process that we configure in Admin settings before migration. Custom deal properties migrate as Deal custom fields.
Atendare
Pipeline
Freshsales
Sales Process + Record Type
lossyAtendare Pipelines define the stages a Deal moves through. We extract all pipeline configurations including stage names, stage order, and probability percentages during discovery. Each Atendare Pipeline becomes a Freshsales Sales Process (defining stage names and probabilities) and a corresponding Record Type (scoping page layouts and deal entry criteria). Pro tier or above is required for multiple Sales Processes; we confirm the destination tier during scoping.
Atendare
Activity (calls, meetings, tasks)
Freshsales
Task and Event
1:1Atendare tracks multiple activity types per contact including calls, meetings, and tasks with timestamps, descriptions, and owner assignments. We split Atendare's multi-activity structure into Freshsales Task (for calls and tasks) and Event (for meetings). The original Atendare activity type is preserved in a custom field for reconciliation. Activity dates migrate as ActivityDate on Task and StartDateTime/EndDateTime on Event. Owner resolution uses email-based matching against Freshsales Users.
Atendare
User (owner)
Freshsales
User
1:1Atendare Team Members assigned as Deal owners or Activity owners map to Freshsales User records by email. We extract all distinct owner references from Contacts, Companies, Deals, and Activities during discovery. Owners without a matching Freshsales User go to a reconciliation queue for the customer's admin to provision before record import resumes. Inactive Atendare users map to inactive Freshsales Users if historical assignment needs to be preserved.
Atendare
Custom Properties
Freshsales
Custom Fields
lossyAtendare custom fields on Contacts, Companies, and Deals vary by account configuration. We detect every custom property definition during discovery including field name, data type, and required status. Freshsales custom fields must be created in Admin Settings before any data import; we pre-create all mapped fields during the schema phase with matching field types (text, number, date, picklist, multi-select picklist, checkbox, currency). Custom field mapping is documented field-by-field in the migration spec.
Atendare
Product Catalog
Freshsales
Product
1:1Atendare Products (names, SKUs, pricing, descriptions) map to Freshsales Product records. Product-to-Deal associations migrate as Deal line items with quantity, unit price, and discount preserved. We create the Product2 records before Deal migration so that line item resolution is satisfied at import time. If Atendare's product catalog is empty or sparse, we note this during discovery and skip the Product phase.
Atendare
List/Segment
Freshsales
List
lossyAtendare contact segments defined by filter rules are extracted as saved filter criteria during discovery. Freshsales Lists are rebuilt as static lists or dynamic lists using Freshsales's filter builder, based on the original Atendare segment logic. Segment membership is re-evaluated at migration time by applying the original filter criteria against the migrated contact data. We document each segment's original rule and recommend a Freshsales list rebuild approach.
| Atendare | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline | Sales Process + Record Typelossy | Fully supported | |
| Activity (calls, meetings, tasks) | Task and Event1:1 | Fully supported | |
| User (owner) | User1:1 | Fully supported | |
| Custom Properties | Custom Fieldslossy | Mapping required | |
| Product Catalog | Product1:1 | Mapping required | |
| List/Segment | Listlossy | 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.
Atendare gotchas
No public API documentation or confirmed export endpoints
Pricing is quotation-only with no published per-seat cost
Landing pages and email campaign content are not independently exportable
Freshsales gotchas
Freddy AI is Pro-tier only despite heavy marketing
Post-migration emails and sequences are disabled
Bot session credits are a one-time 500-session allocation
Phone credits charged per minute with no cap
File storage limits scale with plan tier
Pair-specific challenges
Migration approach
Discovery and Atendare API access verification
We audit the Atendare account across tier (Starter/Pro/Enterprise), confirmed object availability, pipeline count, stage definitions, activity volume, custom property list, and team member count. Simultaneously, we contact the Atendare vendor to confirm API endpoint availability, authentication method, and any export limitations. If API access is unavailable, we map the fallback to CSV export and flag any objects not supported by CSV (Proposals and Contracts at Enterprise tier, for example). The discovery output is a written migration scope document that specifies extraction method per object and confirms the Freshsales destination tier.
Freshsales schema design and custom field pre-creation
We design the Freshsales destination schema in Admin Settings: custom fields for every Atendare custom property, Sales Processes and Record Types for every Atendare pipeline, picklist values for any multi-select migrations, and user provisioning reconciliation. Custom fields must be created before any record import. This phase runs in the customer's Freshsales environment with admin credentials and produces a field-mapping specification document that maps each Atendare field to its Freshsales equivalent with type, required status, and import priority.
Data extraction from Atendare
If the Atendare API is confirmed, we extract Contacts, Companies, Deals, Activities, Products, and Custom Properties via authenticated API calls with rate-limit handling and batch pagination. If API access is unavailable, we coordinate CSV exports per supported object. For Enterprise-tier accounts, we additionally extract Proposal records and flag contract PDF handling. All extractions are written to staging files with a record-count manifest for reconciliation before the transform phase begins.
Transform and sandbox migration
We run the transform phase: splitting multi-activity records into Task and Event subsets, resolving Atendare owner emails to Freshsales User IDs, resolving Atendare company_id references to Freshsales Account IDs, applying the pipeline-to-Sales-Process mapping, and mapping Atendare custom properties to the pre-created Freshsales custom fields. We run the first full migration into a Freshsales Sandbox (or the production account with a test flag) and reconcile record counts against the Atendare extraction manifest. The customer's admin reviews 25-50 spot-check records and signs off before production migration.
Production migration in dependency order
We run production migration in dependency order: Users (reconciliation queue resolved), Accounts (from Atendare Companies), Contacts (with AccountId resolved), Deals (with AccountId, OwnerId, and Sales Process resolved), Products (if applicable), Activity history (Tasks and Events via Freshsales REST API with batch chunking), and Custom Properties. Each phase emits a row-count reconciliation report before the next phase begins. Freshsales API rate limits are handled with exponential backoff and 60-request-per-minute pacing on Growth-tier destinations.
Cutover and automation rebuild handoff
We freeze Atendare writes during cutover and run a final delta migration of any records modified during the migration window. We enable Freshsales as the system of record and deliver a written inventory of Atendare automation flows, email campaigns, landing pages, and Proposals that were not migrated as code, with recommended Freshsales equivalents for each. We support a three-day hypercare window for reconciliation issues. Workflow rebuild, sequence setup, and Freshsales onboarding assistance are outside standard scope and are available as separate engagements.
Platform deep dives
Atendare
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 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 Atendare and Freshsales.
Object compatibility
2 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
Atendare: Not publicly documented.
Data volume sensitivity
Atendare 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
FAQ
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