CRM migration

Migrate from Zilliant CPQ to Pipedrive

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

Zilliant CPQ logo

Zilliant CPQ

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

64%

7 of 11

objects map 1:1 between Zilliant CPQ and Pipedrive.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Zilliant CPQ is a manufacturing-focused Configure-Price-Quote platform built around Products as the base entity with layered pricing schemes (catalog, matrix, agreement, override). Pipedrive is a deal-centric CRM where the product model is simpler and pricing lives on Deals rather than on a dedicated Price List hierarchy. These architectural differences mean the migration is a modeling exercise, not a record copy. We map Zilliant's Quote headers and line items to Pipedrive Deals with custom fields for pricing breakdown, and we flatten the Zilliant Price List hierarchy into Pipedrive Products with list-price and cost fields. Sales Agreements migrate as Deals with a contract-type label and effective-date fields rather than a native agreement object. We catalog every active Groovy script and deliver it as a written artifact for the customer's admin to rebuild in Pipedrive's automation layer. BDA list-type fields that store only raw C4C codes without localization are flagged explicitly so that translated label re-establishment happens post-migration rather than silently post-cutover.

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

Zilliant CPQ logo

Zilliant CPQ

What's pushing teams away

  • Slow loading and performance issues during complex operations are the most cited frustrations, particularly during quote generation with many line items
  • Time lag between configuration completion and pricing calculation creates friction in fast-moving sales cycles, with users describing it as a recurring bottleneck
  • Manufacturing complexity that exceeds the platform's constraint-based configuration model forces teams to maintain workarounds outside CPQ, undermining the single-source-of-truth goal
  • Integration complexity with multiple ERP systems (SAP, Salesforce) creates data synchronization drift that requires manual correction
  • Some users report the platform's opinionated approach to pricing logic conflicts with unique discounting requirements in their specific vertical

Choosing

Pipedrive logo

Pipedrive

What's pulling them in

  • Clean drag-and-drop pipeline interface with minimal learning curve, making it approachable for small sales teams without dedicated CRM admins.
  • Visual deal tracking keeps reps focused on next actions — activities, calls, and follow-up tasks surface directly in the pipeline view.
  • Strong integrations via Zapier and native marketplace apps let teams wire Pipedrive into Calendly, ActiveCampaign, and similar sales-stack tools.
  • Mobile apps for iOS and Android keep field reps connected to deals, contacts, and tasks without a desktop session.
  • Reputation and review volume — over 3,000 verified reviews across G2 and Capterra — signal reliability for teams evaluating CRM options.

Object mapping

How Zilliant CPQ objects map to Pipedrive

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

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

Zilliant CPQ

Product

maps to

Pipedrive

Product

1:1
Fully supported

Zilliant Products map to Pipedrive Products. The ERP_ID cross-reference column (id_col_quote_configuration_priceItems_erpId) migrates as a custom Product field erp_id__c to preserve the link to SAP or other ERP materials records. We explicitly query hidden column data during extraction because UI Profiles may suppress ERP_ID visibility system-wide or per-role. Product hierarchies flatten into Pipedrive Product nested groups rather than a multi-level parent BOM model.

Zilliant CPQ

Price List

maps to

Pipedrive

Product custom fields

lossy
Fully supported

Zilliant Price Lists (catalog, reference, global, published, matrix) do not have a direct Pipedrive equivalent. We extract the active catalog price for each Product and write it to a Pipedrive Product custom field list_price__c. Reference prices and matrix prices migrate as additional custom fields (reference_price__c, matrix_price__c). The Price List hierarchy itself is documented as a written artifact for the customer's admin to configure in Pipedrive's Product pricing settings.

Zilliant CPQ

Quote

maps to

Pipedrive

Deal

1:1
Fully supported

Zilliant Quotes map to Pipedrive Deals. The Quote header (quote number, date, status, account reference, total price) becomes Deal fields plus custom fields for pricing breakdown (discount, tax, shipping). Quote status states that do not map to standard Pipedrive stages are added as custom stage values. We preserve the guided-selling context from the Quote by storing rule-set identifiers as text fields for manual review.

Zilliant CPQ

SalesItem (line items)

maps to

Pipedrive

Deal Product (linked items)

1:1
Fully supported

Zilliant SalesItems (line items) map to Pipedrive Deal Products using the Product lookup resolved from the Product migration step. Quantity, unit price, and line-total migrate as Deal Product fields. Complex BOM configurations with nested quantity settings are flattened to a single line per component with a custom bom_level__c field for audit. Guided-selling constraint outcomes are noted in a custom field.

Zilliant CPQ

Sales Agreement

maps to

Pipedrive

Deal (contract type)

lossy
Fully supported

Zilliant Sales Agreements with effective date ranges, discount tiers, and pricing overrides have no native Pipedrive equivalent. We model each Agreement as a Pipedrive Deal with a deal_type__c custom field set to 'sales_agreement', start_date__c and end_date__c fields, and tiered pricing captured in a JSON-structured custom field agreement_tiers__c. The customer's admin decides whether to create one Deal per agreement or to attach agreement terms as Deal notes.

Zilliant CPQ

Account

maps to

Pipedrive

Organization

1:1
Fully supported

Zilliant Accounts map to Pipedrive Organizations. Standard and custom attributes migrate as Organization custom fields. Large account hierarchies with custom address structures require field-level mapping of the address sub-fields (street, city, state, postal_code, country). The ERP_ID on Zilliant Account migrates as org_erp_id__c on the Organization.

Zilliant CPQ

Contact

maps to

Pipedrive

Person

1:1
Fully supported

Zilliant Contacts map to Pipedrive Persons. We preserve the contact-to-account linkage by resolving the Organization ID at migration time and linking the Person to it. PartnerRoleRecord associations attached to contacts migrate as custom fields (partner_role__c) or as a Person note entry. Custom BDA fields on Contact migrate as Person custom fields.

Zilliant CPQ

Business Data Attributes (BDAs)

maps to

Pipedrive

Custom fields on Person, Organization, Deal

lossy
Mapping required

BDAs mapped from SAP C4C support String, Boolean, and Decimal types. List-type BDA fields store only the raw C4C code value, not the localized display label—this localization loss is a known characteristic of Zilliant's BDA architecture and is documented explicitly. We flag every list-type BDA during scoping and advise the customer that translated labels must be re-established from C4C source records post-migration. Boolean and Decimal BDAs migrate directly as typed Pipedrive custom fields.

Zilliant CPQ

Guided Selling Rules

maps to

Pipedrive

Written rule package

lossy
Mapping required

Zilliant Guided Selling rules are structured rule packages stored in the CPQ ontology, not individual records. We export them as a written rule package documenting each rule's trigger, conditions, and product configuration outcome. Pipedrive's automation layer (trigger-action rules) does not replicate constraint-based configuration logic, so the rules are handed off as documentation for the customer's admin to rebuild as workflow rules or to address via a CPQ add-on from the Pipedrive Marketplace.

Zilliant CPQ

User

maps to

Pipedrive

User

1:1
Fully supported

Zilliant Users map to Pipedrive Users by email match. Domain-approval restrictions in Zilliant CPQ (unapproved email domains cannot sign in) have no Pipedrive equivalent; we flag any user records with non-standard domain restrictions for the customer's admin to validate post-migration. Role-based UI Profiles controlling field visibility (e.g., ERP_ID column) are documented as a written access-control artifact.

Zilliant CPQ

Attachment

maps to

Pipedrive

File

1:1
Fully supported

Quote attachments migrate to Pipedrive Deal files. A resolved bug in pre-patch Zilliant builds caused single-click downloads to trigger multiple downloads equal to the total attachment count. We verify the source environment's patch status during scoping and note any discrepancy between the intended attachment count and what was recorded in the export. Attachments associated with Quote records attach to the corresponding migrated Deal.

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.

Zilliant CPQ logo

Zilliant CPQ gotchas

High

Groovy scripted logic does not export as data

Medium

ERP_ID column may be hidden but still critical

Medium

SAP characteristic labels can duplicate after legacy migration

Medium

BDA list-type fields lose C4C localization

Low

Attachment downloads could fire multiple times on older builds

Pipedrive logo

Pipedrive gotchas

High

Custom field hash keys differ per account

High

Export access gated by visibility groups

Medium

Token-based API rate limits since December 2024

Medium

Sequences and Automations not exposed via REST API

Low

Cost escalates via workflow caps and add-ons

Pair-specific challenges

  • Groovy scripted logic does not migrate as data

    Zilliant CPQ allows custom business logic via Groovy scripts that modify standard CPQ behavior. These scripts are configuration artifacts, not data records—they do not appear in CSV exports or API bulk reads. We cannot migrate Groovy logic automatically. We catalog every active Groovy script during scoping, export its logic as structured text, and deliver it as a written rule package for the customer's admin to rebuild in Pipedrive's automation layer or replace with native platform features. This is a known limitation of Zilliant CPQ that applies to any migration destination, not Pipedrive specifically.

  • ERP_ID column may be hidden in the Zilliant UI

    The ERP_ID column on Price Item rows (id_col_quote_configuration_priceItems_erpId) can be hidden system-wide or per-role via Zilliant UI Profiles. Migration tooling that reads only visible columns will miss ERP cross-references that downstream order-fulfillment systems depend on. We explicitly query hidden column data during extraction. We write the ERP_ID value to a custom field erp_id__c on the migrated Pipedrive Product so that the ERP link is preserved and visible post-migration.

  • BDA list-type fields lose C4C localization

    Custom BDA fields mapped from SAP C4C store only the raw list code value in Zilliant CPQ—C4C's localized display labels are not synced. When migrating BDA list-type fields to Pipedrive custom fields, we preserve only the raw code. We flag every BDA field with list-type data during scoping and advise the customer that translated labels must be re-established from C4C source records post-migration. This is a Zilliant-to-any-destination limitation, not a Pipedrive-specific issue, but it is particularly visible in Pipedrive because the platform has no native C4C integration layer to re-resolve labels.

  • Pipedrive's burst rate limits can block bulk import without backoff

    Pipedrive enforces burst rate limits of 20-120 requests per 2-second window depending on the subscription plan (Lite through Ultimate), with lower limits on the Search API. Zilliant CPQ has no documented bulk-export API, so migration tooling often pulls data in large batches and then attempts fast parallel writes to Pipedrive. We implement exponential backoff and respect per-token burst limits per the Pipedrive documentation, pausing writes when x-ratelimit-remaining reaches zero and resuming after x-ratelimit-reset. Accounts on Lite or Advanced plans are most at risk of import delays due to lower burst allowances.

  • Pipedrive has no native Sales Agreement object

    Zilliant Sales Agreements with effective date ranges, discount tiers, and pricing overrides have no first-class equivalent in Pipedrive. We model them as Deals with custom fields, but the mapping is a representation, not a structural equivalence. Customers expecting Sales Agreement features (tier-based pricing enforcement, automatic price override on Quote generation) will need to rebuild that logic in Pipedrive or layer in a CPQ add-on from the Pipedrive Marketplace. This is a structural gap that cannot be resolved by data migration alone.

Migration approach

Six steps for a successful Zilliant CPQ to Pipedrive data migration

  1. Discovery and Zilliant environment audit

    We audit the source Zilliant CPQ environment for Products (including hidden ERP_ID columns), Price Lists and Price Items, Quote records (headers and line items), Sales Agreements, Accounts, Contacts, BDA field definitions (with type and list-code status), active Groovy scripts (catalogued as configuration artifacts), and guided selling rule packages. We also identify the patch status of the source environment to flag the attachment download bug if the build predates the fix. The output is a written migration scope and a destination schema plan.

  2. Destination schema design in Pipedrive

    We design the Pipedrive schema to receive the migrated data. This includes creating custom fields on Organization (org_erp_id__c, custom BDA fields), Person (BDA fields), Product (erp_id__c, list_price__c, reference_price__c, matrix_price__c), and Deal (quote_number__c, quote_status__c, agreement_start__c, agreement_end__c, deal_type__c, agreement_tiers__c). We also configure Pipedrive pipeline stages to accommodate the Zilliant Quote status states that do not map to standard deal stages.

  3. Groovy script cataloguing and rule package export

    We extract every active Groovy script as structured text during the discovery phase. We do not migrate these as executable logic—they cannot be exported as data from Zilliant CPQ. We deliver them as a written Groovy Rule Package document that the customer's admin reviews and rebuilds in Pipedrive's automation layer or replaces with native Pipedrive workflow rules. This step happens in parallel with data extraction to avoid a sequencing bottleneck at the end of the project.

  4. Data extraction in dependency order

    We extract Zilliant data in record-dependency order: Products (with ERP_ID queried explicitly including hidden columns), Organizations (from Accounts), Persons (from Contacts, linked to Organizations), Price Lists and Price Items (with pricing flattened to Product fields), Deals (from Quotes with line items resolved to Products), and Sales Agreements (modelled as Deals with custom fields). BDA list-type fields are extracted with both the raw code and a flag noting localization loss. Guided selling rule packages are extracted as structured text alongside the product extraction.

  5. Sandbox migration and reconciliation

    We run a full migration into a Pipedrive trial or sandbox environment using production-like data volume. The customer's project lead reconciles record counts across all object types, spot-checks 20-30 records against the Zilliant source, and reviews the BDA localization flag report. Any field mapping corrections, stage alignment issues, or custom field type adjustments happen in this phase. We also verify that the Groovy Rule Package document accurately reflects the active scripts found in the source.

  6. Production migration and cutover

    We run production migration in the same dependency order used in sandbox. We respect Pipedrive's burst rate limits by implementing exponential backoff on the REST API and chunking bulk operations to avoid 429 responses. After the final data load, we deliver the Groovy Rule Package document and the BDA localization flag report. We support a three-day hypercare window for reconciliation issues. We do not rebuild Zilliant guided selling rules as Pipedrive automations inside the migration scope; that is documented separately for the customer's admin to rebuild as workflow rules or to address via a Pipedrive Marketplace CPQ add-on.

Platform deep dives

Context on both ends of the pair

Zilliant CPQ logo

Zilliant CPQ

Source

Strengths

  • Variant configuration models for complex manufactured products are purpose-built and accessible to sales teams without engineering involvement
  • Real-time pricing calculations and dynamic cost estimations eliminate manual quote math errors
  • Guided selling flows steer reps toward margin-positive configurations automatically
  • Salesforce CPQ and SAP integrations are natively supported with documented connector endpoints
  • Product modeling supports characteristic-based rules for assemble-to-order and engineer-to-order workflows

Weaknesses

  • Performance degradation on complex operations with many line items is a documented user complaint
  • Configuration-to-pricing lag creates quote turnaround friction in fast sales cycles
  • Heavy reliance on Groovy scripting for custom logic means bespoke workflows do not export cleanly
  • BDA custom-field architecture between C4C and CPQ introduces localization loss on list-type fields
  • No publicly documented API rate limits or bulk-export mechanism in available documentation
Pipedrive logo

Pipedrive

Destination

Strengths

  • Intuitive drag-and-drop pipeline that sales reps actually use without resistance or training overhead.
  • Per-seat unlimited-deals model on all tiers — reps cannot be blocked from logging activity.
  • Active marketplace with 400+ integrations and a documented REST API with OpenAPI 3 specs.
  • Mobile apps with offline access, call logging, and calendar sync keep field teams operational.
  • Strong focus on sales activity tracking — next-action reminders and follow-up scheduling are first-class features.

Weaknesses

  • No custom objects — teams needing non-standard data structures must work around the four standard entity types.
  • Workflow automation limits by tier (30, 60, 90 active workflows) force upgrades as processes grow.
  • No free permanent plan — teams evaluating fit must commit to a trial without a freemium option.
  • Limited advanced reporting and custom dashboard capabilities compared to HubSpot or Salesforce.
  • Export permissions are gated by visibility groups, meaning data scoping must account for who can see what before migration.

Complexity grading

How hard is this migration?

Moderate CRM migration. 4 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 Zilliant CPQ and Pipedrive.

  • Object compatibility

    C

    4 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

    Zilliant CPQ: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Zilliant CPQ to Pipedrive 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 Zilliant CPQ to Pipedrive data migrations

Answers to the questions buyers ask most during Zilliant CPQ to Pipedrive migration scoping. Not seeing yours? Book a call.

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Most migrations land between three and five weeks for environments with under 5,000 Quotes, 2,000 Products, and straightforward BDA field usage. Migrations with complex Price Item hierarchies (over 20,000 Price Item rows), multiple ERP_ID cross-reference lookups, active Groovy script volumes requiring extensive rule documentation, or Sales Agreement modeling with tiered pricing move to six to ten weeks because of extraction complexity, BDA localization flag work, and sandbox reconciliation.

Adjacent paths

Related migrations to explore

Ready when you are

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