CRM migration

Migrate from Customer Database App to Freshsales

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

Customer Database App logo

Customer Database App

Source

Freshsales

Destination

Freshsales logo

Compatibility

38%

3 of 8

objects map 1:1 between Customer Database App and Freshsales.

Complexity

BStandard

Timeline

1-2 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Customer Database App holds all customer data in a free, mobile-first schema with no public API, so migration runs entirely through CSV or VCF exports extracted directly from the app. Because every installation has a unique field structure built by the user, we infer the active schema from the export column headers, sanitize comma-delimited free-text fields, and map each column to a Freshsales standard or custom field before ingestion. We preserve the app's Kanban pipeline stages as Freshsales deal stages, split group and tag labels into individual Freshsales tag records, and attach any bundled contact images or PDFs to the corresponding Freshsales contact record. Voucher balances and call history have no Freshsales equivalent and are documented as out-of-scope for supplemental manual handling. We do not migrate workflows or automations since the app has none to export; the Freshsales side's automation rebuild is the customer's post-migration task.

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

Customer Database App logo

Customer Database App

What's pushing teams away

  • The absence of a programmatic API makes automated exports and integrations with downstream tools impossible without manual file handling.
  • No collaborative features such as user roles, activity logs, or shared dashboards create friction when a second team member needs access to a customer record.
  • The free tier carries no service-level guarantee; users have reported no recourse when data loss occurs on the hosted version.
  • Scalability is limited — performance degrades noticeably as the customer list grows beyond a few hundred records on mobile hardware.
  • Marketing and automation capabilities are absent, which pushes teams to migrate once they need email campaigns, lead scoring, or workflow triggers.

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 Customer Database App objects map to Freshsales

Each row shows how a Customer Database App 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.

Customer Database App

Contact

maps to

Freshsales

Contact and Account (split required)

1:many
Fully supported

Customer Database App stores every field on a flat contact record with no Account or Company concept. Freshsales separates contacts from accounts. We ask the customer whether each contact should be treated as a standalone Freshsales Contact with no Account (suitable for individual customers, freelancers, or B2C use) or whether we should derive a minimal Account from any company-name field present in the CSV. Email is used as the dedupe key for Contact import into Freshsales.

Customer Database App

Custom Properties

maps to

Freshsales

Freshsales Custom Fields

1:1
Mapping required

Every contact in Customer Database App supports unlimited user-defined fields with no enforced schema. We infer the active field list from the exported CSV column headers during discovery. Each column maps to a Freshsales custom field of the nearest matching type: text fields to Freshsales Text type, numeric values to Number type, dates to Date type, and comma-delimited multi-value fields to Multi-select Picklist. Fields with free-text values containing commas are quoted during CSV parsing to prevent delimiter collision.

Customer Database App

Pipeline Stages

maps to

Freshsales

Deal Stage

lossy
Fully supported

Customer Database App uses a single Kanban-style pipeline with user-defined stage names stored as a label-value property on each contact record. We extract the distinct stage names from the exported CSV and configure matching deal stages in Freshsales. If the customer has deal-associated contacts (i.e., pipeline data attached to contacts), we create Freshsales Deals and link them to the corresponding Contacts after contact import completes.

Customer Database App

Groups and Tags

maps to

Freshsales

Tag

1:many
Fully supported

Customer Database App stores customer groups and tags as comma-separated label strings on each contact record. We split these strings into individual tag values and create Freshsales Tag records. Tags are assigned to the migrated Contact via the tag_ids field. Any tag value that does not already exist in Freshsales is created during the import phase. Tag splitting preserves all original labels; no tag data is discarded.

Customer Database App

Birthday Records

maps to

Freshsales

Custom Date Field

1:1
Mapping required

Birthday is stored as a date field on the contact record in Customer Database App. Freshsales does not ship a dedicated birthday or anniversary field as standard. We map the birthday date to a Freshsales custom field of type Date with a label such as Birthday. If the customer prefers, it can also map to a custom Date field on the Contact record with any preferred naming convention chosen during scoping.

Customer Database App

Vouchers

maps to

Freshsales

None (not migrated)

lossy
Not supported

Vouchers are an app-specific object with no equivalent in Freshsales. The voucher balance is not exported via CSV from Customer Database App. We document this limitation in the migration scope and provide the customer with a supplemental CSV export of any voucher data available within the app for manual entry into Freshsales as a custom field value or external spreadsheet if needed.

Customer Database App

Phone Call History

maps to

Freshsales

None (not migrated)

lossy
Not supported

The caller-ID log and call history are transient device-level records that are not included in the CSV or VCF export from Customer Database App. Freshsales has native phone and call logging capabilities; the customer can re-establish call logging within Freshsales post-migration. We document this gap in the scope and recommend that the customer capture current call-handling procedures as a separate operational reference document.

Customer Database App

Attachments (Contact Images and PDFs)

maps to

Freshsales

Contact Attachments

1:1
Fully supported

Contact images and PDF exports of individual records can be bundled into a ZIP archive alongside the CSV export from Customer Database App. We attach each contact's image or PDF to the corresponding Freshsales Contact record via the native file attachment mechanism. If the ZIP archive is not available, we flag this during discovery and the customer can regenerate the archive before migration begins.

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.

Customer Database App logo

Customer Database App gotchas

High

No API means migration runs through CSV exports only

Medium

User-defined schema creates field mapping ambiguity

Medium

MySQL sync creates a parallel data source that must be reconciled

Low

Voucher and birthday objects have no standard CRM equivalent

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 API means CSV export is the only extraction path

    Customer Database App exposes no public REST or GraphQL API. We extract data exclusively through CSV or VCF exports generated within the app. Large exports can become unwieldy in spreadsheet tools that cap at one million rows, but more critically, there is no automated delta-sync: any new or modified records after the initial export require a fresh manual export run in the app. We manage this by running the export, chunking the output into sequenced batches sized to Freshsales bulk import thresholds, and scheduling a final delta export on cutover day to capture any last-minute changes before going live.

  • User-defined schema means field mapping is customer-specific

    Because every Customer Database App installation has a different field set with no canonical schema, we cannot pre-build a field mapper. We infer the active field list from the first export file's column headers. If a customer has added, renamed, or removed fields after their last export, we flag the discrepancy before loading data into Freshsales. Custom fields with free-text values containing commas can cause CSV parsing issues; we sanitize these by wrapping values in quotes or stripping embedded delimiters during the transform step before Freshsales ingestion.

  • MySQL sync creates a parallel data source requiring reconciliation

    Users who have enabled MySQL sync hold two copies of their data: the local app database and the synced MySQL instance. The MySQL copy may contain records not yet synced back to the local app, or records modified after the last sync cycle. We require the customer to confirm the sync state of both copies before extraction. Where the MySQL instance is reachable, we extract from MySQL because it typically contains the most complete and structurally consistent dataset, which reduces row-encoding and date-format issues compared to CSV export.

  • Freshsales Contact-Account split requires customer input

    Freshsales separates Contacts from Accounts, while Customer Database App stores all fields on a flat contact record with no explicit company object. We cannot decide the split automatically. During scoping, the customer confirms whether contact records represent individuals (Contact only, no Account) or organizations (Contact linked to a derived Account). If company data exists in a name field in the CSV, we use it to create minimal Freshsales Account records and link the Contact. If confirmed as B2C data with no organizational context, we import as standalone Contacts.

  • Vouchers and call history have no Freshsales equivalent

    Voucher balances are not exported from Customer Database App via CSV and have no mapping target in Freshsales. Call history records are device-level and not included in any export format. Both are documented as out-of-scope in the migration scope. We provide a supplemental CSV export of any voucher data the customer can re-enter manually, and we recommend capturing current call-handling procedures as an operational reference before cutover.

Migration approach

Six steps for a successful Customer Database App to Freshsales data migration

  1. Discovery and CSV export preparation

    We request a full CSV export from the Customer Database App, confirming the export includes all contact fields and pipeline stage values. If the customer has enabled MySQL sync, we request read access to the MySQL database as an alternative or supplementary source. We inspect the export column headers to inventory the full active field schema, identify any multi-value fields (tags, groups), and flag any fields with embedded commas or special characters that require sanitization during the transform step.

  2. Schema mapping and Freshsales field creation

    We map each Customer Database App CSV column header to a Freshsales field. Standard fields (first_name, last_name, email, phone, address) map to Freshsales standard contact fields. All remaining columns become Freshsales custom fields of the nearest typed equivalent. We create any missing custom fields in the Freshsales environment before migration begins. The customer confirms the Contact-only versus Contact-plus-Account split strategy during this phase.

  3. Tag splitting and value deduplication

    We parse every comma-separated tags or groups field in the CSV and split it into individual tag values. We deduplicate the full tag value list and create any tags that do not already exist in Freshsales. Each contact record receives its resolved tag list via the Freshsales tag assignment API during the contact import phase. Tag splitting is logged so the customer can audit the transformation.

  4. Test migration to Freshsales sandbox

    We run a representative subset of the exported data (typically 50-100 records chosen from different pipeline stages and tag groups) through the full transform and import pipeline into a Freshsales test environment. The customer reconciles the test import: record counts per object, field values on 20-30 spot-checked contacts, stage assignments, and tag assignments. We correct any mapping errors identified during test migration before proceeding to the full production import.

  5. Production migration and cutover

    With test migration signed off, we run the full dataset through the transform pipeline and import into the production Freshsales environment. Import runs in dependency order: custom fields created first, then Contacts (with Account linkage resolved where applicable), then Deals (if pipeline data exists in the source), then Tags assigned per Contact. We freeze Customer Database App writes during the cutover window and run a final delta export to capture any records modified during the migration window.

  6. Validation, handoff, and supplemental exports

    We deliver a row-count reconciliation report comparing source record totals against Freshsales record totals for each object. We provide a supplemental CSV export of voucher data for manual Freshsales entry, and a documented list of any call-handling procedures the customer should re-establish within Freshsales native phone features. We do not rebuild workflows or automations as Customer Database App has none to export; the Freshsales automation rebuild is the customer's post-migration task.

Platform deep dives

Context on both ends of the pair

Customer Database App logo

Customer Database App

Source

Strengths

  • Zero cost with no contact count limit removes budget objections entirely for early-stage teams.
  • Mobile app and web browser access means the same database works on desktop and in the field.
  • User-defined schema accommodates non-standard business models without forcing a predefined data model.
  • MySQL sync option enables self-hosting for users who want data portability and ownership.
  • Built-in EU-GDPR tools such as data export and deletion requests simplify compliance for European users.

Weaknesses

  • No public API forces reliance on manual CSV or VCF exports, which breaks down at scale.
  • Absence of user roles and permissions makes the app unsuitable for teams with access-control requirements.
  • No email sequencing, marketing automation, or built-in communications channels limits long-term utility as a sales tool.
  • No SLA or data-residency guarantees on the hosted version introduce reliability risk for business-critical data.
  • Limited reporting and analytics mean users quickly outgrow the insight capabilities once the customer base matures.
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?

Standard CRM migration. 2 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 Customer Database App 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

    B

    Customer Database App: Not applicable — no API exists.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Customer Database App 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 Customer Database App to Freshsales data migrations

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

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Most migrations complete in one to two weeks for accounts with fewer than 5,000 contacts and fewer than 20 custom fields. Migrations with 5,000-25,000 contacts, MySQL sync reconciliation, or attachment bundling extend to three to five weeks. The timeline is dominated by the discovery phase (inferring the field schema from export headers), the test migration round-trip for mapping validation, and any customer delays in confirming the Contact-Account split strategy.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Customer Database App.
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