CRM migration
Field-level mapping, validation, and rollback between Boostr and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Boostr
Source
Freshsales
Destination
Compatibility
5 of 9
objects map 1:1 between Boostr and Freshsales.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Boostr and Freshsales are fundamentally different platforms with different data models and different API postures. Boostr centers on media ad sales with Advertisers, Proposals, Orders, and Ad Inventory Units — no public API exists so all data must be pulled manually through coordinated CSV exports with your Boostr admin. Freshsales follows a standard CRM model: Contacts, Accounts, Leads, and Deals. Our migration maps Boostr Advertisers to Freshsales Accounts, Boostr Campaigns to Freshsales Deals with a descriptive field carrying the original Campaign name, Proposals to Freshsales Deals in a draft or pending stage, and confirmed Orders to Freshsales Deals in a closed-won stage. Ad inventory line items are flattened into custom fields on the Deal record because Freshsales does not have native deal line items. We deliver a written inventory of Boostr's active workflows and GAM OAuth connections for your admin to rebuild and reconnect post-migration. Freshsales pricing starts at $9 per user per month with a free plan tier available, making it significantly less expensive than most enterprise CRMs for small-to-mid media teams leaving Boostr.
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 Boostr 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.
Boostr
Advertiser
Freshsales
Account
1:1Boostr Advertisers map to Freshsales Accounts. Advertiser name maps to Account name, and the primary contact's email or phone maps to the account's phone or website field. We use Advertiser ID as the external reference for dedupe logic during import. This is the first object we import because Account records are the parent of most other objects in Freshsales and satisfy required lookups during subsequent imports.
Boostr
Campaign
Freshsales
Deal
1:manyBoostr Campaigns group multiple Proposals and Orders under a single media campaign umbrella. We map Campaigns to Freshsales Deals with a custom field boostr_campaign_name__c carrying the original Campaign name. If a Campaign contains multiple Orders, we create one Deal per Order but tie them by populating boostr_campaign_name__c so reports can roll up by Campaign. Campaign-level revenue and date metadata migrate as fields on each related Deal.
Boostr
Proposal
Freshsales
Deal (draft stage)
1:1Boostr Proposals are the pre-booking offer state with no confirmed commercial agreement. We map Proposals to Freshsales Deals in a draft or pending stage status — the stage name is configured in Freshsales during schema setup to match the customer's Boostr Proposal workflow labels. Proposal line items (pricing, quantities, formats) migrate as custom fields on the Deal record because Freshsales Deals do not have native line-item sub-objects.
Boostr
Order
Freshsales
Deal (closed-won stage)
1:1Boostr Orders are confirmed, booked commercial agreements — the transactional record in Boostr's OMS. We map Orders to Freshsales Deals in a closed-won or booked stage. The Order's billing status, total value, and revenue type map to Deal monetary fields and a custom status field. The Proposal-to-Order lineage is preserved by linking the Deal's custom boostr_proposal_id__c field to the migrated Proposal Deal, enabling the customer to trace the full lifecycle from offer to booking.
Boostr
Ad Inventory Unit
Freshsales
Custom Module or Deal custom fields
lossyBoostr captures ad inventory as structured line items per Order — placement, format, dates, impressions, CPM, and unit count. Freshsales does not have native deal line items. We recommend a Freshsales Custom Module (available on Pro and Enterprise plans) named Ad Units with fields matching the inventory schema: Placement, Format, StartDate, EndDate, Impressions, CPM, and UnitCount. Each Ad Unit record links to the parent Order Deal via a lookup relationship. If the customer is on the Free plan without custom modules, we flatten the primary line item into named Deal custom fields and document the remaining units in the mapping spec.
Boostr
Revenue Record
Freshsales
Deal monetary fields
1:1Boostr tracks revenue at the Order and line-item level. Revenue figures, revenue type, and billing status migrate directly into Freshsales Deal monetary fields (amount, expected close date) and a custom boostr_revenue_type__c field. Line-item revenue aggregates into the parent Order Deal's amount field.
Boostr
Pipeline Stage
Freshsales
Deal stage
lossyBoostr's pipeline stages (Prospect, Proposal, Negotiating, Booked, etc.) are configurable per customer. We replicate the customer's exact stage labels into Freshsales Deal stages during schema setup. Stage probabilities migrate to the corresponding Freshsales stage weights. The Proposal-to-Order lifecycle is mapped to the stage sequence: Proposal maps to a pre-confirmation stage, Order maps to the closed-won or booked stage.
Boostr
User
Freshsales
User
1:1Boostr User records (names, roles, team assignments) map to Freshsales User records. We perform an email-based lookup to match Boostr owners to existing Freshsales users and avoid creating duplicate users. Any Boostr user without a matching Freshsales account enters a reconciliation queue for the customer's admin to provision before record import resumes.
Boostr
Custom Properties
Freshsales
Custom fields
lossyBoostr supports custom fields on Advertisers, Campaigns, Orders, and other objects. We discover the full custom field schema during scoping, map each to a corresponding Freshsales field (using Freshsales's custom field types on Contacts, Accounts, Deals, and custom modules), and apply type conversion where needed (Boostr date fields to Freshsales date fields, multi-select to Freshsales multi-select picklists).
| Boostr | Freshsales | Compatibility | |
|---|---|---|---|
| Advertiser | Account1:1 | Fully supported | |
| Campaign | Deal1:many | Fully supported | |
| Proposal | Deal (draft stage)1:1 | Fully supported | |
| Order | Deal (closed-won stage)1:1 | Fully supported | |
| Ad Inventory Unit | Custom Module or Deal custom fieldslossy | Fully supported | |
| Revenue Record | Deal monetary fields1:1 | Fully supported | |
| Pipeline Stage | Deal stagelossy | Fully supported | |
| User | User1:1 | Fully supported | |
| Custom Properties | Custom fieldslossy | Mapping required |
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.
Boostr gotchas
No public API forces manual export coordination
Proposals and Orders are distinct objects — not Deals
Ad inventory line items require custom field flattening
GAM integration OAuth tokens cannot be migrated
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 export coordination planning
We audit the source Boostr environment across all objects (Advertisers, Campaigns, Proposals, Orders, Ad Inventory Units, Revenue Records, Pipeline Stages, Users, and custom properties). Because Boostr has no public API, we schedule a dedicated extraction coordination session with the customer's Boostr admin to define the export format, agree on the field set, and establish a file delivery process. We pair this with a Freshsales account audit to confirm the current plan tier and identify any plan constraints on custom fields or custom modules before scoping the destination schema.
Schema design and lifecycle mapping
We design the destination schema in Freshsales. This includes provisioning custom fields on Accounts and Deals (boostr_campaign_name__c, boostr_proposal_id__c, boostr_revenue_type__c, and ad inventory fields), configuring Deal stages to mirror the customer's Boostr pipeline lifecycle, and optionally designing a Custom Module for Ad Units if the plan supports it and the customer's inventory data is complex enough to warrant it. The custom field schema is validated against the Boostr export format before any data is extracted.
Manual export extraction and validation
We coordinate the manual CSV extraction from Boostr. The customer's Boostr admin exports Advertisers, Campaigns, Proposals, Orders, and Ad Inventory Units in the agreed format. We validate the export for completeness (row counts, required fields, date ranges) before transformation begins. Any missing or truncated exports require a re-run with Boostr support before we proceed to transformation. This step is the primary risk point for Boostr migrations and is scoped with buffer time in the project plan.
Transformation and object mapping
We transform the Boostr export into Freshsales import format. This includes splitting Proposal and Order records into separate Deal records with the correct stage assignments, mapping Advertiser IDs to Freshsales Account IDs via a lookup table, flattening ad inventory line items into Deal custom fields or Custom Module records, and mapping Boostr pipeline stages to Freshsales Deal stages with probability weights. Revenue figures are aggregated into Deal amount fields. Custom property values are mapped to the corresponding Freshsales custom fields by name and type.
Owner reconciliation and User provisioning
We extract every distinct Boostr user referenced on Advertiser, Campaign, Proposal, and Order records and match by email against the Freshsales destination's User table. Users without a matching Freshsales account enter a reconciliation queue for the customer's admin to provision. Owner lookups on Accounts and Deals cannot be resolved until the user mapping is complete, so this step gates the record import phase.
Production import and reconciliation
We run production import in dependency order: Accounts (from Boostr Advertisers), Deals (Proposals first, then Orders), Custom Modules (Ad Units if configured), and custom fields. Each phase emits a row-count reconciliation report. We validate field-level data completeness on a random sample of 25-50 records before sign-off. Any mapping corrections are applied and the affected phase re-run before proceeding.
Cutover, validation, and handoff
We freeze Boostr write access during cutover, run a final delta migration of any records modified during the migration window, then enable Freshsales as the system of record. We deliver the Boostr workflow inventory and GAM reconnection checklist to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues. We do not rebuild Boostr workflows or re-establish the GAM OAuth connection inside the migration scope; those are separate workstreams for the customer's admin or integration partner.
Platform deep dives
Boostr
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 Boostr 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
Boostr: Not publicly documented.
Data volume sensitivity
Boostr 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
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Category
FAQ
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