CRM migration

Migrate from ChartMogul to Freshsales

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

ChartMogul logo

ChartMogul

Source

Freshsales

Destination

Freshsales logo

Compatibility

80%

8 of 10

objects map 1:1 between ChartMogul and Freshsales.

Complexity

CModerate

Timeline

3-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from ChartMogul to Freshsales is a platform-type transition: ChartMogul is a subscription analytics and lightweight CRM platform optimized for MRR/ARR reporting from billing connectors, while Freshsales is a full sales CRM from the Freshworks suite. The migration is not a record-for-record copy because ChartMogul's two-level customer model (parent Customer with child Data Source Customers) and subscription analytics objects have no native equivalents in Freshsales. We resolve this by mapping ChartMogul parent Customers to Freshsales Contacts, storing subscription plan data as custom fields on Contacts and Deals, and placing MRR values as custom currency fields on Accounts. We do not migrate ChartMogul MRR movements, cohort analytics, or forecast projections because these are computed metrics tied to ChartMogul's metric engine rather than source records. We deliver a written inventory of the MRR reporting that your admin rebuilds in Freshsales analytics, and we flag every integration that needs re-establishing post-migration (Stripe sync, Chargebee connection, Recurly import).

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

ChartMogul logo

ChartMogul

What's pushing teams away

  • The CRM module is lightweight compared to dedicated sales platforms—contacts lack deep activity timelines and deal management is basic, causing teams to outgrow it.
  • Multi-currency handling requires manual configuration and does not auto-detect currency switches mid-customer lifecycle, creating reporting drift for global businesses.
  • ChartMogul's export capabilities are limited to CSV and Google Sheets; teams needing real-time warehouse feeds find the BigQuery/S3 integration too batch-oriented for operational use.
  • Historical data older than your connection date is unavailable unless explicitly imported, and retroactive imports require re-running metric calculations that hit plan limits.

Choosing

Freshsales logo

Freshsales

What's pulling them in

  • Lowest barrier to entry among major CRMs — the free tier supports up to 3 users and includes core CRM functionality before committing to per-seat pricing.
  • Built-in chat, email, and phone reduce reliance on third-party integrations for basic sales communication and contact management.
  • Freddy AI contact scoring and deal insights are included on Pro plans at a lower price than comparable HubSpot tiers.
  • Kanban pipeline views across Contacts, Accounts, and Deals provide visual deal management without requiring custom configuration.
  • Integration with the broader Freshworks ecosystem (Freshdesk, Freshchat, Freshservice) reduces tool sprawl for teams already using Freshworks.

Object mapping

How ChartMogul objects map to Freshsales

Each row shows how a ChartMogul 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.

ChartMogul

Customer (parent object)

maps to

Freshsales

Contact

1:1
Fully supported

ChartMogul parent Customer records map to Freshsales Contact. We extract name, email, phone, address, and company name from the parent object. ChartMogul's external_id on the parent becomes Freshsales' unique_id field for cross-system reconciliation. Tags from the parent Customer migrate to Freshsales Contact tags. The ChartMogul data source customer child records are resolved to the same Contact via external_id matching before subscription data is attached.

ChartMogul

Data Source Customer (child object)

maps to

Freshsales

Contact (custom fields)

1:1
Fully supported

Each ChartMogul Data Source Customer (one per billing system: Stripe, Chargebee, Recurly) is linked to the parent Contact via matched external_id. We store the data source identifier and original ChartMogul customer UUID as custom fields on the Freshsales Contact for traceability. This mapping is necessary because Freshsales has no native data source concept; the billing origin is preserved as metadata rather than as a separate object.

ChartMogul

Subscription

maps to

Freshsales

Contact (custom fields) + Deal

1:many
Fully supported

Active Subscriptions from ChartMogul migrate to Freshsales in two places: plan-level details (plan name, interval, quantity, MRR contribution) store as custom fields on the Contact record; open Deals in ChartMogul (if any) map to Freshsales Deals with the subscription MRR as the deal value. Cancelled and trial subscriptions store with status as custom fields but do not create open Deals. We use the subscription state_at field to determine active versus churned.

ChartMogul

Plan

maps to

Freshsales

Contact (custom fields) or Product

lossy
Fully supported

ChartMogul Plan definitions (name, interval, amount, currency, trial period) store as custom fields on the Freshsales Contact or as a Product record if the customer's Freshsales instance uses Products for deal line items. Plan history is preserved by capturing the current plan at migration time; plan change attribution that ChartMogul calculates as MRR expansion or contraction is not migratable as a movement but is preserved as a field value for Freshsales reporting.

ChartMogul

Invoice

maps to

Freshsales

Contact (custom fields)

1:1
Fully supported

ChartMogul Invoices do not have a native equivalent in Freshsales. We migrate invoice metadata (invoice number, date, amount, currency, status) as a JSON blob or structured custom fields on the Contact record. Full invoice PDF files are not migratable as Salesforce-style attachments in Freshsales via standard API; we document the invoice record count and recommend the billing system as the source of truth for invoice PDF retrieval post-migration. Transaction-level records (payments, refunds, chargebacks) migrate as structured custom fields or are documented for manual reconciliation.

ChartMogul

Custom Attributes

maps to

Freshsales

Contact custom fields

1:1
Fully supported

ChartMogul customer-level custom attributes migrate to Freshsales Contact custom fields. We map attribute types (string, number, date, boolean) to equivalent Freshsales field types. Attributes synced from Pipedrive or HubSpot via ChartMogul's CRM sync migrate with their original values. We create the custom field schema in Freshsales during the schema design phase before data import begins.

ChartMogul

Tags

maps to

Freshsales

Contact tags

1:1
Fully supported

ChartMogul flat string tags on parent Customer records migrate 1:1 to Freshsales Contact tags. Tag counts for segmentation are preserved. Tags are imported after Contact records exist so that tag assignments resolve at insert time rather than requiring a post-import tag migration step.

ChartMogul

Opportunity

maps to

Freshsales

Deal

1:1
Fully supported

ChartMogul CRM Opportunities map to Freshsales Deals with stage, value, owner, and close date preserved. ChartMogul deal stages map to Freshsales pipeline stages; we configure the Freshsales pipeline before migration to match the ChartMogul stage names and probabilities. The Deal's linked Contact (from the parent Customer mapping) attaches at import time via the Contact's unique_id.

ChartMogul

Task

maps to

Freshsales

Task

1:1
Fully supported

Open Tasks from ChartMogul migrate to Freshsales Task with subject, due date, assignee, and completion status preserved. Completed tasks with no future action are optionally omitted to reduce import volume. Task assignment resolves via ChartMogul owner email matched to Freshsales User email. Notes and call logs from ChartMogul migrate as Freshsales Note records attached to the parent Contact via ContentDocumentLink.

ChartMogul

MRR Movements

maps to

Freshsales

Not migrated (computed metric)

1:1
Fully supported

ChartMogul MRR Movements (new business, expansion, contraction, churn) are computed metrics generated by ChartMogul's metric engine from subscription state changes. They are not raw records but analytical outputs tied to ChartMogul's calculation methodology. We do not migrate MRR Movements. We migrate the underlying Subscription and Invoice data that drives them, and we deliver a written MRR reporting inventory (current MRR by plan, by cohort, by data source) for the customer's admin to rebuild in Freshsales analytics or a BI tool 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.

ChartMogul logo

ChartMogul gotchas

High

Customer vs. data source customer split requires dual-object migration

Medium

40 req/s API rate limit restricts bulk migration throughput

Medium

Transaction fee handling setting causes silent MRR discrepancies

Medium

Historical cohort data cannot be backdated after initial import

Freshsales logo

Freshsales gotchas

Medium

Freddy AI is Pro-tier only despite heavy marketing

High

Post-migration emails and sequences are disabled

Medium

Bot session credits are a one-time 500-session allocation

Medium

Phone credits charged per minute with no cap

Low

File storage limits scale with plan tier

Pair-specific challenges

  • No native subscription object exists in Freshsales

    ChartMogul's Subscription, Plan, and Invoice objects have no direct Freshsales equivalent. Freshsales is a sales CRM, not a billing analytics platform. We handle this by storing subscription plan data as custom fields on Freshsales Contacts and storing MRR contribution as a currency custom field on the Account. Invoice metadata stores as structured custom fields. The customer should retain ChartMogul as a billing analytics source (connected to Stripe, Chargebee, or Recurly) for ongoing MRR reporting rather than expecting Freshsales to replicate ChartMogul's metric engine, or plan to rebuild MRR reporting in Freshsales analytics post-migration.

  • ChartMogul's two-level customer model requires decomposition

    ChartMogul enforces a parent Customer record linked to child Data Source Customer records (one per billing source). When migrating to Freshsales, we must decompose this into a single Contact with billing metadata stored as custom fields. Failing to decompose causes orphaned records or lost billing attribution. We handle this by first importing all Data Source Customers to resolve external_id links, then creating parent Contacts with the matched identifiers, and finally attaching subscription and invoice custom fields to the Contact record.

  • Freshsales API rate limit constrains bulk import throughput

    Freshsales REST API enforces rate limits that we observe during bulk import. We use batched POST requests with delay between calls and exponential backoff on 429 responses. For migrations exceeding 10,000 contacts, we chunk by 100-record batches and run imports during off-peak hours to avoid throttling. We validate row counts after each batch to ensure no silent record drops during rate-limited import windows.

  • Billing system integrations require post-migration rebuild

    ChartMogul's native integrations with Stripe, Chargebee, Recurly, PayPal, and app stores do not have equivalents in Freshsales. Freshsales does not ingest subscription data directly from billing platforms. After migration, the customer needs to re-establish their billing analytics pipeline: either by keeping ChartMogul connected to the billing system for MRR reporting while Freshsales handles CRM, or by rebuilding the data pipeline via a tool like Stripe-to-Freshsales, Zapier, or a custom integration. We document the active billing connections during scoping and deliver a written integration rebuild plan as part of the migration handoff.

Migration approach

Six steps for a successful ChartMogul to Freshsales data migration

  1. Discovery and scoping

    We audit the source ChartMogul account: parent Customer count, Data Source Customer count per billing source, active subscription volume, invoice record count, custom attribute field definitions, ChartMogul CRM Opportunities, and task volume. We also identify which billing systems are connected (Stripe, Chargebee, Recurly, PayPal, Google Play, App Store Connect) and whether the customer uses ChartMogul's CRM module or only its analytics engine. The discovery output is a written migration scope document specifying record counts per object, custom field schema for Freshsales, and the MRR reporting rebuild plan.

  2. Schema design in Freshsales

    We design the destination schema in Freshsales: creating Contact custom fields for MRR value, subscription plan details, invoice metadata, and ChartMogul UUID; configuring Account custom fields for billing source attribution; setting up the Freshsales pipeline stages to match ChartMogul deal stages; and mapping ChartMogul tags to Freshsales Contact tags. Custom field types are matched to their equivalents (currency fields for MRR, date fields for subscription start/end, picklist fields for subscription status). We validate the schema in a Freshsales sandbox or trial account before production migration begins.

  3. Sandbox migration and reconciliation

    We run a full migration into a Freshsales sandbox using a representative data sample (typically 10% of record volume). The customer's admin reviews the imported Contacts for data accuracy, verifies that custom field values populated correctly from ChartMogul, confirms that tags migrated, and validates that any open Deals attached to Contacts migrated with correct stage and value. Mapping corrections are documented and applied before production migration. This step typically takes three to five business days and requires one to two hours of the customer's admin time for review and sign-off.

  4. Owner matching and user provisioning

    We extract every distinct ChartMogul Owner referenced on Customer, Opportunity, and Task records and match by email against the Freshsales destination's User table. Any ChartMogul Owner without a matching Freshsales User is flagged for the customer's admin to provision. Task assignees that cannot be resolved to an active Freshsales User are assigned to the admin user as a placeholder with a note for later reassignment. Owner resolution is required before the production migration phase begins because Freshsales Tasks require OwnerId at insert time.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Contacts first (with ChartMogul UUID stored as unique_id), then custom field population on Contacts (subscription plan data, MRR contribution, invoice metadata, tags), then Account records (created from ChartMogul company names where available), then Deals (mapped from ChartMogul Opportunities with pipeline stage configuration applied), then Tasks and Notes. Each phase emits a row-count reconciliation report before the next phase begins. MRR movements are not migrated; the subscription raw data that drives them is present on the Contact custom fields for the customer to build Freshsales analytics reports.

  6. Cutover, billing integration handoff, and MRR rebuild plan

    We freeze ChartMogul writes during cutover, run a final delta migration of any records modified during the migration window, then enable Freshsales as the system of record for CRM activity. We deliver the written billing integration rebuild plan documenting which Stripe, Chargebee, or Recurly connections the customer needs to re-establish or replace with Freshsales-compatible integrations. We also deliver the MRR reporting rebuild plan: a documented inventory of current MRR by plan, by data source, and by customer cohort for the customer's admin to recreate in Freshsales analytics or export to a BI tool. We do not rebuild ChartMogul workflows, sequences, or automations in Freshsales as these are not migratable and require fresh configuration.

Platform deep dives

Context on both ends of the pair

ChartMogul logo

ChartMogul

Source

Strengths

  • Unifies billing data from Stripe, Chargebee, Recurly, PayPal, and app stores into a single MRR/ARR view
  • Generous free tier up to $10K MRR with full metric feature set
  • Built-in NRR, GRR, cohort retention, and churn segmentation out of the box
  • Two-way CRM sync with Pipedrive and HubSpot keeps sales and finance data aligned
  • Official SDKs for Ruby, Node.js, PHP, Go, and Python with built-in exponential backoff

Weaknesses

  • CRM module is shallow compared to dedicated sales platforms—limited deal management and activity tracking
  • Export options are limited to CSV and Google Sheets; real-time warehouse streaming requires paid integrations
  • Historical data is scoped to what is imported at connection time; retroactive imports are limited by plan
  • Multi-currency handling requires manual configuration and does not auto-detect mid-lifecycle currency changes
  • Transaction fee handling differs by billing source and must be explicitly configured to avoid MRR discrepancies
Freshsales logo

Freshsales

Destination

Strengths

  • Generous free tier for small teams with core CRM functionality without per-seat costs.
  • All-in-one sales CRM with built-in telephony, chat, and email reducing third-party tool dependency.
  • Freddy AI contact scoring and deal predictions available on Pro tier.
  • Multiple pipeline views with Kanban and list options across all plans.

Weaknesses

  • Reports lack depth compared to competitors like HubSpot, with limited customization options.
  • Integration setup is poorly documented with no clear guides for connecting third-party tools.
  • AI features gated behind $39/user/month Pro tier despite marketing emphasis on Freddy AI.
  • Bot sessions limited to 500 one-time allocation with no monthly refresh.

Complexity grading

How hard is this migration?

Moderate CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across ChartMogul and Freshsales.

  • Object compatibility

    B

    2 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

    C

    ChartMogul: 40 requests per second primary limit, plus compute time per minute per account and max 20 parallel connections.

  • Data volume sensitivity

    B

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

Estimator

Estimate your ChartMogul to Freshsales 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 ChartMogul to Freshsales data migrations

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

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Most migrations land between three and four weeks for accounts with under 5,000 ChartMogul customers, no custom objects, and a single billing source. Migrations with multiple billing connectors (Stripe plus Chargebee, for example), complex custom attribute schemas (over 20 fields), or large invoice history volumes (over 10,000 invoices) move to six to eight weeks because of schema design time, the data source customer decomposition step, and MRR field recalculation. Timeline is measured from discovery kickoff to cutover day.

Adjacent paths

Related migrations to explore

Ready when you are

Move from ChartMogul.
Land in Freshsales, intact.

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