CRM migration
Field-level mapping, validation, and rollback between Dialytica - Marketing Automation Platform and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Dialytica - Marketing Automation Platform
Source
Pipedrive
Destination
Compatibility
5 of 10
objects map 1:1 between Dialytica - Marketing Automation Platform and Pipedrive.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Dialytica to Pipedrive is a cross-category migration: Dialytica is purpose-built for outbound call center operations while Pipedrive is a sales CRM with pipeline management, deal tracking, and activity logging. We migrate Contacts 1:1 to Pipedrive People, preserving phone numbers, names, email addresses, and campaign assignment history. Call Records and SMS Activities map to Pipedrive Activities and Notes, but the cross-channel stitching of Dialytica's separate Call Campaign and SMS Campaign objects requires a custom sequencing step so each contact retains a unified timeline. Dialytica has no native Account or Organization concept, so company data stored in custom contact fields requires mapping to Pipedrive's Organizations object. Pipedrive has no built-in call or SMS capability and no native QA Review module; we document these gaps and flag where integrations (Pipedrive's Power Dialer, Mailchimp SMS, or a third-party QA tool) must be reconfigured post-migration. Workflows, AI-generated campaign rules, and automated sequences do not migrate as code.
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 Dialytica - Marketing Automation Platform 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.
Dialytica - Marketing Automation Platform
Contact
Pipedrive
Person
1:1Dialytica Contacts map directly to Pipedrive People. Name, phone number, email address, and any standard contact fields migrate 1:1. Custom Dialytica contact properties map to Pipedrive custom fields. Dialytica stores company data in contact-level custom fields where no native Organization object exists; we separate these during transformation and map them to Pipedrive Organizations, linking each Person to its Organization via the org_id field.
Dialytica - Marketing Automation Platform
Call Campaign
Pipedrive
Activity + Label
lossyDialytica Call Campaigns do not have a native Pipedrive equivalent. We extract campaign metadata (name, start date, targeting criteria text, script content) and map it to a Pipedrive Activity of type call, with the campaign name stored in the activity subject. Campaign targeting logic is documented in free-text fields because it cannot be mechanically extracted. Campaign Labels are created in Pipedrive to group related activities by campaign name for reporting.
Dialytica - Marketing Automation Platform
SMS Campaign
Pipedrive
Activity + Label
lossyDialytica SMS Campaigns map similarly to Call Campaigns, with the campaign metadata preserved as Activity records and labeled for filtering. Individual SMS message templates migrate to Pipedrive email templates with the understanding that SMS-specific variable syntax (e.g., {{contact.first_name}}) must be adapted to Pipedrive's merge field format if the customer uses a Pipedrive-native email channel or Mailchimp integration post-migration.
Dialytica - Marketing Automation Platform
Call Record
Pipedrive
Activity (TaskSubtype = Call)
1:1Dialytica Call Records contain duration, disposition, agent assignment, timestamp, and AI-evaluated metadata. These map to Pipedrive Activity records with subtype set to call. Call duration maps to the duration field; disposition (e.g., answered, voicemail, no-answer) maps to a custom activity field. Agent assignment resolves by email match to the Pipedrive user. AI-generated sentiment or scoring data cannot be replicated in Pipedrive; it is documented as a custom field value for manual review rather than automated use.
Dialytica - Marketing Automation Platform
SMS Activity
Pipedrive
Activity
1:1Dialytica SMS Activities (individual message events with delivery status, timestamp, and phone number) map to Pipedrive Activity records. Delivery status maps to a custom activity field. The association between an SMS Activity and its parent SMS Campaign is preserved as a label on the activity. We note that Pipedrive has no native SMS sending capability; post-migration, the customer routes SMS through a third-party integration (Mailchimp, Twilio, or a similar provider).
Dialytica - Marketing Automation Platform
QA Review
Pipedrive
Note + Custom Fields
1:1Dialytica QA Reviews store supervisor evaluations tied to specific Call Records, including structured scorecard criteria and free-text notes. Pipedrive has no native QA Review module. We map QA Reviews to Pipedrive Notes attached to the corresponding Activity record, with structured scorecard values stored as custom fields on the Note or the parent Activity. The customer must designate a Pipedrive admin or implement a third-party QA tool to maintain ongoing call quality workflows post-migration.
Dialytica - Marketing Automation Platform
User / Agent
Pipedrive
User
1:1Dialytica User and Agent records export with roles, permissions, and active status. We map these to Pipedrive Users by email match. Any Dialytica agent without a corresponding Pipedrive user is placed in a reconciliation queue for the customer to provision. Agent availability and shift configuration from Agent Schedules do not map to a native Pipedrive object and must be re-implemented using Pipedrive's availability settings or a third-party scheduling tool.
Dialytica - Marketing Automation Platform
Agent Schedule
Pipedrive
Note (Agent Availability)
lossyDialytica Agent Schedules store shift configurations and availability data. Pipedrive has no native scheduling or availability object. We export schedule data as structured Notes attached to each User record, with the shift pattern documented in free text. Any automated availability-based call routing that depended on Dialytica Agent Schedules must be re-implemented in the customer's chosen telephony or scheduling layer post-migration.
Dialytica - Marketing Automation Platform
SMS Template
Pipedrive
Email Template
lossyDialytica SMS Templates with merge field placeholders map to Pipedrive Email Templates. The template body text transfers directly; merge field syntax is adapted from Dialytica's format to Pipedrive's {{person.name}}, {{person.email}} format. SMS-specific fields (character limits, short code references) are documented as custom template metadata rather than native Pipedrive fields because Pipedrive email templates do not enforce SMS character constraints.
Dialytica - Marketing Automation Platform
Payment
Pipedrive
Custom Fields on Activity or Deal
lossyDialytica Payments store transaction records tied to campaigns or contacts. Pipedrive has no native transaction object. We map payment data to a custom field group on Pipedrive Activities or, if the customer sets up a Deal in Pipedrive for each transaction, to custom fields on the Opportunity. The customer chooses the strategy during scoping based on whether Pipedrive Deals are used to track sales against payments.
| Dialytica - Marketing Automation Platform | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Call Campaign | Activity + Labellossy | Fully supported | |
| SMS Campaign | Activity + Labellossy | Fully supported | |
| Call Record | Activity (TaskSubtype = Call)1:1 | Fully supported | |
| SMS Activity | Activity1:1 | Fully supported | |
| QA Review | Note + Custom Fields1:1 | Fully supported | |
| User / Agent | User1:1 | Fully supported | |
| Agent Schedule | Note (Agent Availability)lossy | Fully supported | |
| SMS Template | Email Templatelossy | Fully supported | |
| Payment | Custom Fields on Activity or Deallossy | Fully supported |
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.
Dialytica - Marketing Automation Platform gotchas
No publicly documented API endpoint reference
AI-generated campaign rules do not export cleanly
SMS and Call data are separate campaign objects
Single G2 review limits independent evaluation
Pricing not publicly published
Pipedrive gotchas
Custom field hash keys differ per account
Export access gated by visibility groups
Token-based API rate limits since December 2024
Sequences and Automations not exposed via REST API
Cost escalates via workflow caps and add-ons
Pair-specific challenges
Migration approach
Discovery and export feasibility assessment
We audit the Dialytica account across all objects: Contact volume, Call Record count, SMS Activity count, QA Review count, User/Agent count, Agent Schedule records, SMS Template count, and any Payment records. Because Dialytica has no public API documentation, we evaluate automated export feasibility by attempting API connectivity and reviewing available export options in the Dialytica admin interface. We produce a written discovery report that confirms which objects can be exported via API, which require CSV extraction, and which require Dialytica support assistance. This report is the basis for the migration timeline and price confirmation.
Data model design in Pipedrive
We design the destination schema in Pipedrive before any data moves. This includes creating all required custom fields on People and Activities to accommodate Dialytica's contact properties, call disposition values, and QA scorecard fields. We create Pipedrive Organizations from any company data extracted from Dialytica Contacts and link People to Organizations. We configure Activity Labels (Call Campaign, SMS Campaign) to group activity records by their originating Dialytica campaign. Pipedrive's field type rules are enforced: picklist values are whitelisted, date formats are normalized to ISO 8601, and phone numbers are validated against Pipedrive's format constraints.
Export, transform, and validate
We extract data from Dialytica in dependency order: Users (first, for agent name resolution), then Contacts, then Call Records and SMS Activities, then QA Reviews, then Agent Schedules and Payments. For objects requiring manual export, we guide the customer through CSV generation or coordinate with Dialytica support. The transformation step applies the cross-channel stitching logic to merge Call and SMS activities by contact identifier, splits company data from Contacts into Organizations, and maps disposition codes and QA scores to their destination custom fields. We validate record counts against the source export before staging for import.
Test migration to Pipedrive sandbox
We run a test migration into a Pipedrive sandbox or development account using production-like data volume. The customer reviews the imported People, Organizations, Activities, and Notes and spot-checks 25-50 records against the Dialytica source for field accuracy, activity completeness, and organization linkage. Any mapping corrections, custom field additions, or labeling adjustments happen in this phase. We do not move data to the production Pipedrive account until the customer signs off on the test migration results.
Production migration and activity stitching
We run the production migration in dependency order: Pipedrive Users (validated), Organizations (from extracted company data), People (with org_id resolved), Activities (Call Records and SMS Activities with campaign labels applied), Notes (QA Reviews attached to parent Activities), Agent Availability Notes (attached to User records), and Custom Field Groups (Payment data on Activities or Deals). Cross-channel activity stitching is applied as the final transformation step, producing a unified activity timeline per Person. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, handoff, and automation rebuild documentation
We freeze writes to Dialytica during cutover, run a final delta migration of any records modified during the migration window, and enable Pipedrive as the system of record. We deliver a written automation inventory documenting every Dialytica campaign rule, AI targeting logic, and agent schedule that requires rebuild in Pipedrive. The customer's Pipedrive admin or a Pipedrive partner rebuilds campaign filters and automation triggers using Pipedrive's Workflow automation (available from Growth tier). We do not rebuild automations as part of the standard migration scope.
Platform deep dives
Dialytica - Marketing Automation Platform
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 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 Dialytica - Marketing Automation Platform and Pipedrive.
Object compatibility
3 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
Dialytica - Marketing Automation Platform: Not publicly documented.
Data volume sensitivity
Dialytica - Marketing Automation Platform 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
Pick a category, then your source and destination platforms.
Category
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