CRM migration

Migrate from ContactDB to Nutshell

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

ContactDB logo

ContactDB

Source

Nutshell

Destination

Nutshell logo

Compatibility

50%

4 of 8

objects map 1:1 between ContactDB and Nutshell.

Complexity

CModerate

Timeline

1-2 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

ContactDB is a purchased B2B contact list, not a live CRM, which means this migration is a flat-record-to-relational schema conversion rather than a data copy. ContactDB provides no API: we ingest the customer's CSV export package directly. Each ContactDB contact row carries name, title, email, phone, company name, industry, country, and segment criteria; we split that flat record into a Nutshell People object and a deduplicated Companies object, then reconstruct segment membership as custom People fields since ContactDB does not expose segment labels as standalone tags. We flag email-format validation failures and stale firmographic data (outdated titles, dissolved company names) in a pre-import review pass so the customer decides what enters Nutshell. Any engagement history, pipeline stages, or automation logic does not exist in ContactDB and is therefore excluded from migration scope. We deliver the contact and company record set in Nutshell ready for the admin to configure pipeline stages, ownership assignments, and integrations.

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

ContactDB logo

ContactDB

What's pushing teams away

  • Lists become stale quickly as personnel change roles and companies shift; re-purchasing updated lists creates ongoing cost without accumulating owned CRM data.
  • No ownership or tracking of engagement data means teams lose visibility into which contacts responded, creating disconnected feedback loops between outreach and CRM records.
  • Limited post-purchase support and data enrichment options make it difficult to extend or verify contact records beyond the initial purchase fields.
  • Subscription costs scale with list volume and refresh frequency, making it expensive to maintain current data across multiple campaigns and regions simultaneously.

Choosing

Nutshell logo

Nutshell

What's pulling them in

  • Lowest cost entry point among mid-market CRMs—Foundation plan starts at $13/user/month, making it accessible for teams validating CRM fit before committing.
  • Integrated sales automation and email sequencing on Pro plans without requiring a separate email marketing platform, per verified Capterra reviews.
  • Consistently praised for intuitive interface and fast onboarding, with case studies reporting 100% team adoption rates within initial deployment periods.
  • Strong customer support responsiveness cited across G2 reviews, with dedicated support tiers available on Enterprise plans.
  • Native integrations with WhatsApp, Facebook Messenger, Instagram, and Slack reduce reliance on third-party middleware for common communication channels.

Object mapping

How ContactDB objects map to Nutshell

Each row shows how a ContactDB object lands in Nutshell, including any object-level transformations, lookup resolution, or schema-design dependencies.

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

ContactDB

Contact

maps to

Nutshell

People

1:1
Fully supported

ContactDB contact records map directly to Nutshell People. Name, title, email, phone, and mailing address fields map to their Nutshell equivalents. The original ContactDB record ID is preserved in a custom field (e.g., contactdb_id__c) to support reconciliation against the source export if needed later. Because ContactDB exports flat rows, each contact may carry a company name; that company is resolved separately in the Companies phase below.

ContactDB

Contact (company field)

maps to

Nutshell

Companies

1:many
Fully supported

ContactDB firmographic data includes company_name per contact row. We extract all distinct company names, deduplicate by normalized string (trimming Inc, LLC, Ltd suffixes), and create one Nutshell Companies record per unique business. Industry and SICCODE from ContactDB map to Company custom fields. Each People record then receives a Company lookup link after the Companies phase completes. This split-and-remerge step is the primary schema transformation in this migration.

ContactDB

Contact (segment criteria)

maps to

Nutshell

People custom fields

lossy
Fully supported

ContactDB segments contacts by industry, profession, title, country, and software-usage criteria at purchase time, but these segment labels are not exported as standalone tag objects. We reconstruct segment membership as multi-value custom fields on Nutshell People during migration. The customer confirms which segment categories carry business value post-migration. This step is explicit configuration rather than automated mapping because the segment axes are customer-defined.

ContactDB

No equivalent object

maps to

Nutshell

People custom fields (data quality flags)

lossy
Fully supported

ContactDB records frequently contain outdated titles (person changed roles), stale email addresses (person left company), and dissolved company names. We apply a pre-import validation step that flags records with malformed email formats, missing required fields, and company names matching known inactive entities. Flagged records appear in a pre-import review report; the customer decides whether to exclude or correct them before Nutshell ingestion. No equivalent validation object exists in ContactDB.

ContactDB

N/A

maps to

Nutshell

Tags

lossy
Mapping required

ContactDB does not expose tags or segment labels as exportable standalone objects. If the customer has internal tagging conventions they applied post-purchase, those tags must be provided as a separate column in the export or reconstructed manually in Nutshell post-migration. We configure Nutshell Tags as part of the target schema but cannot populate them from ContactDB data without explicit tagging data in the export.

ContactDB

N/A

maps to

Nutshell

Pipeline / Deals

1:1
Fully supported

ContactDB has no pipeline or deal-tracking model. Pipeline stages and deal records are created fresh in Nutshell post-migration. We do not migrate any pipeline data because none exists in ContactDB.

ContactDB

N/A

maps to

Nutshell

Activities

1:1
Fully supported

ContactDB stores no engagement history: no email opens, no call logs, no meeting records, no task completions. No activity data is available to migrate. All activity tracking begins after the Nutshell go-live date.

ContactDB

N/A

maps to

Nutshell

Users / Owners

1:1
Fully supported

ContactDB is a data product without team user accounts. Owner assignment does not apply. The customer provisions Nutshell users and assigns ownership of migrated records after migration during their internal onboarding.

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.

ContactDB logo

ContactDB gotchas

High

No public API requires manual CSV export

High

No engagement or lifecycle data to migrate

Medium

Segment membership is not a first-class object

Medium

Data freshness depends on purchase tier

Nutshell logo

Nutshell gotchas

High

Contact tier limits enforced on import

Medium

No bulk API endpoint requires paginated extraction

Medium

Email sequences not exportable via API

Medium

Foundation plan disables key sales features

Pair-specific challenges

  • ContactDB has no API—migration depends on manual CSV export

    ContactDB does not publish a REST or bulk API for programmatic access. All data export must be performed manually through the customer portal as a CSV or delimited file download. The customer initiates this step, which is the primary project dependency. If the customer cannot access the portal or the export package is incomplete, migration cannot proceed. Any subsequent data refresh cycles require the customer to repeat the manual download step. Plan for this dependency during migration scoping and confirm export access before signing off on timeline.

  • Company names from ContactDB require deduplication before import

    ContactDB stores company name as a free-text field per contact row. A single business entity may appear under multiple spellings or legal suffix variations across rows (e.g., Acme Corp, Acme Corporation, Acme Corp.). We deduplicate company names by normalized string before creating Nutshell Companies records, but the customer should review the deduplication rules during scoping. If the ContactDB export contains a domain field or website field, we use it as an additional dedupe signal. Without it, company normalization relies on string matching only.

  • Data freshness is subscription-tier-dependent and records may be stale

    ContactDB offers a Data Integrity Guarantee, but record recency depends on the customer's subscription tier. Outdated records—former employees listed as active, incorrect titles, bounced email addresses, dissolved companies—appear in most ContactDB exports. We run email format validation and flag records with missing required fields or mismatched company names before Nutshell ingestion. The customer reviews the flagged record report and decides whether to exclude stale entries. Records that enter Nutshell with incorrect firmographic data will require manual correction post-migration.

  • Segment labels are not exported as standalone objects

    ContactDB segments contacts by industry, profession, title, country, and software-usage criteria, but these segment labels are not exported as standalone tags or objects. We reconstruct segment membership as custom People fields in Nutshell, but this requires the customer to confirm which segment categories remain meaningful in their Nutshell workflow. Segment categories that were purchase-time filters may not align with how the team wants to segment contacts in a live CRM.

  • Nutshell has no native engagement import for bulk activity records

    Because ContactDB stores no engagement data, this gotcha does not apply to the ContactDB source. However, teams transitioning from any CRM background should note that Nutshell's native bulk import supports People, Companies, and Deals via CSV but does not provide a bulk API path for large volumes of activity records (calls, emails, meetings) if those are added later from another source. Activity logging in Nutshell is typically manual entry or integrated via Gmail/Mailchimp sync rather than bulk-imported.

Migration approach

Six steps for a successful ContactDB to Nutshell data migration

  1. CSV export coordination

    We coordinate with the customer to extract the full ContactDB export package from the portal. The customer downloads the CSV or delimited file and shares it with us via a secure transfer mechanism. We validate the file structure against the expected field layout (name, title, email, phone, company, industry, country, segment criteria columns) and confirm the row count. If the export is incomplete or missing required columns, we request a re-export before proceeding. This step is the critical path dependency for the entire migration.

  2. Data profiling and quality audit

    We ingest the ContactDB export and run a profiling pass to identify field覆盖率, email format validity, duplicate rows, and company name variance. We produce a data quality report showing the count of valid records, records with malformed emails, records missing required fields, and records with duplicate company name variants. The customer reviews this report and provides direction on exclusion thresholds (e.g., exclude records with invalid emails, include records with outdated titles). This step ensures the customer makes the inclusion decision before any data enters Nutshell.

  3. Nutshell schema setup

    We configure the Nutshell target schema before any data import. This includes creating custom People fields to hold segment membership categories (confirmed during scoping), setting up company type values if the customer uses them, and configuring any tag taxonomy the customer wants to apply post-migration. We also verify that the Nutshell account has sufficient user seats for the team that will manage the migrated records.

  4. Company normalization and deduplication

    We extract all distinct company names from the ContactDB contact rows, normalize them by stripping legal suffixes (Inc, LLC, Ltd, Corp) and standardizing spacing and capitalization, and deduplicate into a unique company list. Each deduplicated company becomes a Nutshell Companies record with the industry and SICCODE mapped from the source firmographic data. This step produces the Companies layer that the People records will link to.

  5. People import with company linkage

    We import ContactDB contact records as Nutshell People in batches. After each batch, we run a linkage pass that matches each Person's company name against the deduplicated Companies list and populates the Company field on the People record. Email format validation errors from the profiling step are withheld from import and presented to the customer for a final exclusion decision. The original ContactDB record ID is stored in a custom field for reconciliation.

  6. Validation and handoff

    We deliver a final reconciliation report comparing the exported ContactDB row count against the Nutshell People and Companies record counts, with any exclusions documented. We flag any People records that could not be linked to a Company due to unrecognized or missing company names. We do not configure pipeline stages, ownership assignments, or integrations as part of this migration scope; those are Nutshell admin tasks that follow go-live. We provide a written summary of the migrated record set and the segment field configuration for the customer's records.

Platform deep dives

Context on both ends of the pair

ContactDB logo

ContactDB

Source

Strengths

  • Massive B2B contact database spanning 30M+ records with global country coverage.
  • Multiple segmentation axes: industry, profession, title, country, and business software usage.
  • Data Integrity Guarantee policy promises accuracy and updated records for campaign reliability.
  • Firmographic data includes SICCODE, company size, and credit rating for B2B targeting precision.

Weaknesses

  • No documented API for programmatic data export or integration with CRM platforms.
  • No engagement or activity data—purchased contacts carry no behavioral history.
  • List-based product model means data ownership remains with the vendor, not the buying team.
  • Limited ability to extend contact records with custom fields or internal annotations.
Nutshell logo

Nutshell

Destination

Strengths

  • Simple, intuitive interface with minimal learning curve for sales teams new to CRM
  • Per-seat pricing is transparent and predictable, with annual billing reducing monthly cost
  • Full data export tool available for all account data including backups
  • Open JSON-RPC API allows programmatic access to all core objects
  • Native multichannel engagement (email, SMS, WhatsApp) without third-party add-ons for communication

Weaknesses

  • Reporting and analytics are considered weak, requiring manual Excel exports for detailed analysis
  • No bulk API endpoint—migration requires paginated API reads that must be rate-limited carefully
  • JSON-RPC API is less common than REST, requiring custom integration code compared to standard REST CRMs
  • Add-on costs (Forms, Nutshell IQ, Email Marketing) are per-company charges that stack on top of per-seat pricing
  • Feature restrictions on entry-level plans mean teams often need mid-tier to get basic automation

Complexity grading

How hard is this migration?

Moderate CRM migration. 2 of 8 objects need a manual workaround.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across ContactDB and Nutshell.

  • Object compatibility

    D

    2 of 8 objects need a manual workaround.

  • 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

    ContactDB: Not applicable — no live API surface..

  • Data volume sensitivity

    B

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

Estimator

Estimate your ContactDB to Nutshell 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 ContactDB to Nutshell data migrations

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

Can't find your answer?

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Book a free 30 minute consultation

Most ContactDB to Nutshell migrations complete in one to two weeks. The timeline depends on the size of the export file, the complexity of company name deduplication, and how quickly the customer reviews the data quality report and provides exclusion decisions. Migrations with more than 10,000 records or significant company name variance may extend to three weeks, but the ContactDB source has no API latency and no activity history to migrate, which keeps timelines shorter than a typical CRM-to-CRM migration.

Adjacent paths

Related migrations to explore

Ready when you are

Move from ContactDB.
Land in Nutshell, intact.

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