CRM migration

Migrate from Powered Now to Pipedrive

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

Powered Now logo

Powered Now

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

83%

10 of 12

objects map 1:1 between Powered Now and Pipedrive.

Complexity

BStandard

Timeline

24–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Powered Now and Pipedrive solve different problems. Powered Now is job management software built for UK trade businesses — plumbers, electricians, gas engineers — combining client records, job scheduling, quoting, invoicing, and Making Tax Digital compliance in one app. Pipedrive is a sales CRM that organises work around People, Organisations, Deals, and Activities, with a visual pipeline and per-seat pricing starting at $14/user/month. The two platforms share contact and company concepts, but Pipedrive has no native job-scheduling, certificate-tracking, or quote-to-invoice workflow. FlitStack AI migrates what can be migrated: clients and contacts to Pipedrive People, companies to Organisations, and jobs/quotes to Pipedrive Deals with stage names that reflect the Powered Now status lifecycle. Custom fields like engineer assignments, site addresses, PO references, and form attachments migrate as Pipedrive custom fields. Certificates, MTD records, purchase orders, and supplier invoices that do not fit Pipedrive's schema are exported as structured data files for manual reference. Automations, workflows, scheduled diary entries, and MTD tax logic have no Pipedrive equivalent and must be rebuilt using Pipedrive's automation tools or an external workflow service. The migration uses API-based extraction from Powered Now, field transformation against Pipedrive's custom field API (where field keys are 40-character hashes), and staged import validation before the full run commits.

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

Powered Now logo

Powered Now

What's pushing teams away

  • Lack of a public API blocks integration with third-party tools and makes data portability difficult, forcing businesses to manually export records when switching platforms.
  • Pricing is per-user and can become expensive as a team grows, pushing smaller operators toward lower-cost alternatives with flat-rate pricing.
  • Advanced features such as Xero integration, time tracking, and custom reporting are gated behind higher tiers, creating upgrade pressure on businesses that only need one or two premium features.
  • The platform is UK-only in its compliance features, making it unsuitable for trade businesses operating in Ireland, the Isle of Man, or other UK-aligned jurisdictions with different MTD rules.

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 Powered Now objects map to Pipedrive

Each row shows how a Powered Now 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.

Powered Now

Client

maps to

Pipedrive

Person

1:1
Fully supported

Powered Now clients map directly to Pipedrive People. Client name maps to Person name; primary contact details (email, phone) map to corresponding Pipedrive fields. If a client has multiple contacts, each contact migrates as a separate Person record, both linked to the same Organisation if a company record exists.

Powered Now

Contact

maps to

Pipedrive

Person

1:1
Fully supported

Individual contacts within a Powered Now client record migrate as separate Pipedrive People. Each person receives an email, phone, and address from the source contact record. If the same person appears across multiple clients, FlitStack AI flags duplicates before migration and applies a merge or link rule per your specification.

Powered Now

Company

maps to

Pipedrive

Organisation

1:1
Fully supported

Powered Now companies map to Pipedrive Organisations. Company name, domain, industry, and employee count translate to Organisation name, address fields, and custom fields. If Powered Now stores a company without a separate Client record, the Organisation is created independently and linked to relevant People.

Powered Now

Job

maps to

Pipedrive

Deal

1:1
Fully supported

Powered Now Jobs are the primary mapping challenge. Each Job migrates as a Pipedrive Deal, with the Job name becoming the Deal name, the job status (Quoted, In Progress, Complete, Invoiced) mapped to Pipedrive pipeline stages, and the assigned engineer or team stored in a custom Person field on the Deal. Job notes and line items are preserved in the Deal's description and custom item fields respectively.

Powered Now

Quote

maps to

Pipedrive

Deal (pre-stage)

many:1
Fully supported

In Powered Now, Quotes are standalone objects linked to Jobs. During migration, Quote data merges into the Deal record as line items (products and pricing) and a total value field. The quote validity date migrates as a custom datetime field on the Deal for reference. If the Quote is not yet accepted, the Deal lands in an early pipeline stage (e.g., 'Quote Sent').

Powered Now

Invoice

maps to

Pipedrive

Deal + Export file

1:many
Fully supported

Invoices carry MTD-relevant data (VAT registration, invoice number, tax amounts) that has no Pipedrive equivalent. FlitStack AI migrates the commercial summary — client, amount, date, status — as Deal fields and a custom Invoice_Number__c field. The full invoice record with line-item tax breakdown is exported as a structured CSV for import into Xero or your accounting tool.

Powered Now

Diary Entry / Schedule

maps to

Pipedrive

Activity

1:1
Fully supported

Powered Now diary entries (scheduled jobs, engineer appointments) map to Pipedrive Activities. Each entry becomes a Task or Event with the job context stored in the activity's subject and a link back to the migrated Deal. Pipedrive Activities do not support engineer scheduling across multiple resources natively — complex diary data is also exported as a reference file.

Powered Now

Certificate

maps to

Pipedrive

Custom Object / Attachment

1:1
Fully supported

Certificates (gas safety, electrical compliance, etc.) are a Powered Now-specific object with no Pipedrive equivalent. Migration options are: (a) store certificate metadata (type, expiry date, engineer) as custom fields on the associated Deal, (b) attach the certificate PDF as a Pipedrive File linked to the Deal, or (c) export certificates to a separate structured file for compliance record-keeping.

Powered Now

Purchase Order

maps to

Pipedrive

Deal custom field + Export file

1:1
Fully supported

Purchase Orders reference supplier costs against a job. PO number, supplier name, and total amount migrate as custom fields on the Deal. Full PO line-item detail is exported separately, as Pipedrive has no PO object. FlitStack AI can optionally link PO data to a separate Products catalogue if your Pipedrive plan includes it.

Powered Now

Supplier Invoice

maps to

Pipedrive

Export file

1:1
Fully supported

Supplier invoices are expense records with no Pipedrive equivalent. FlitStack AI exports these as a structured CSV alongside the migration, tagged with the corresponding Deal reference so the data can be imported into Xero, QuickBooks, or your accounting tool post-migration.

Powered Now

Custom Properties (Client, Job)

maps to

Pipedrive

Custom Fields (Person, Organisation, Deal)

1:1
Fully supported

Powered Now custom properties on clients and jobs — engineer assignment, site type, certification required, custom pricing tiers — are created as Pipedrive custom fields on the corresponding object (Person, Organisation, or Deal) before migration. Pipedrive's API assigns a 40-character hash key to each custom field, which FlitStack AI resolves during the import mapping phase.

Powered Now

User / Owner

maps to

Pipedrive

User

1:1
Fully supported

Powered Now users (engineers, office staff) are resolved by email match against Pipedrive Users. Unmatched users are flagged before migration. Inactive Powered Now users are imported as inactive Pipedrive users with a note; you decide whether to activate them 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.

Powered Now logo

Powered Now gotchas

High

No public REST API means migration requires reverse-engineered data access

Medium

Certificate expiry dates require manual re-validation post-migration

Medium

Making Tax Digital data is tied to the Powered Now MTD-compliant invoice format

Low

Attachment blobs export as raw files without a relational manifest

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

  • Pipedrive has no native job or field-service object — jobs become Deals with a structural trade-off

    Powered Now's Job object holds operational context that Pipedrive's Deal model does not natively support: engineer assignments, site addresses, purchase order references, certificate metadata, and VAT-inclusive line items all live on a Job. When these migrate to Deals, FlitStack AI stores them in custom fields and Deal notes, but Pipedrive's Kanban pipeline view only shows stage and value — engineers and site data require opening the Deal record. This is a fundamental model difference, not a mapping gap. Teams that rely on Powered Now's job-centric view for daily operations should expect a workflow adjustment in Pipedrive.

  • Making Tax Digital VAT records have no Pipedrive equivalent and must be handled as a parallel export

    Powered Now's MTD compliance module tracks VAT registration, quarterly submissions, and invoice-level VAT data required for HMRC filing. Pipedrive has no MTD or tax compliance module — it is not an accounting tool. FlitStack AI migrates invoice commercial summaries (client, amount, status) into Deal records, but VAT registration details, VAT amounts, and HMRC submission metadata must be exported as a structured CSV alongside the migration and imported into Xero, QuickBooks, or a dedicated MTD tool. Relying on Pipedrive alone for VAT compliance after migration will result in missing data.

  • Pipedrive's custom field API assigns opaque 40-character hash keys that must be resolved during mapping

    Unlike HubSpot or Salesforce, where custom field names are user-readable in the API, Pipedrive generates a random 40-character hash (e.g., a1b2c3d4e5f6...) as the field key for every custom field. FlitStack AI resolves these keys during the pre-flight schema audit by creating the custom fields in your Pipedrive account first, capturing the generated keys, and then mapping source fields to those keys before the migration run. If you create custom fields manually in Pipedrive before migration, field key conflicts can occur — FlitStack AI manages this via a staging mapping table.

  • Diary entries and engineer scheduling do not map to Pipedrive's activity model without data reduction

    Powered Now diary entries track multi-engineer scheduling, recurring appointments, and job routing across a team. Pipedrive Activities are single-user tasks or events attached to a deal or person. A Power Now diary entry with three engineers assigned to one job does not translate cleanly to Pipedrive — it would require three separate Activities, each losing the co-scheduling context. FlitStack AI maps diary entries to individual Activities per assigned engineer, with the job context preserved in the activity note, and exports the full co-scheduling structure as a reference file for manual scheduling in Pipedrive or a dedicated scheduling tool.

  • Powered Now automations and workflow sequences cannot migrate — the platforms use incompatible rule engines

    Powered Now does not have a programmable workflow engine — its operational sequences (quote approval, job dispatch, invoice generation on completion) are driven by status changes and in-app rules rather than a configurable automation layer. Pipedrive Automations trigger on field changes, stage transitions, and activity events. Because the underlying rule logic is not exportable from Powered Now and the trigger events differ between platforms, FlitStack AI cannot migrate automations. Teams must rebuild operational sequences in Pipedrive's Automation tool. FlitStack AI provides a workflow audit export from Powered Now as a reference document for your Pipedrive admin.

Migration approach

Six steps for a successful Powered Now to Pipedrive data migration

  1. Profile Powered Now data and pre-create Pipedrive schema

    FlitStack AI connects to Powered Now via API to inventory all clients, contacts, jobs, quotes, invoices, diary entries, and custom properties. We identify duplicate clients, orphaned contacts, and records with missing required fields. In parallel, we create Pipedrive custom fields (using the hash-key API) for engineer assignments, PO numbers, site addresses, certificate metadata, VAT fields, and any other Powered Now custom properties that do not have native Pipedrive equivalents. Pipedrive pipelines and stages are configured to match Powered Now's job status lifecycle before any data lands.

  2. Export and clean source records

    We export all Powered Now objects via the platform's API, applying data quality rules: deduplicating contacts by email address, resolving company-to-client parent relationships, collapsing inactive records, and standardising date formats to ISO 8601. Job line items and quote pricing are normalised into a structure that maps cleanly to Pipedrive Deal values. Certificate records, supplier invoices, and MTD VAT data are segregated into separate export files for parallel processing.

  3. Resolve owners and map contacts to Pipedrive People and Organisations

    Powered Now users are matched by email to existing Pipedrive Users. Unmatched users are flagged for your team to invite before migration. Clients and contacts are mapped: companies become Pipedrive Organisations; individual contacts become Pipedrive People linked to the Organisation. If a Powered Now client record holds multiple contacts, each migrates as a separate Person with a shared Organisation link. Engineer assignments on jobs are stored in a custom Person field (Engineer__c) on the Deal for team visibility.

  4. Run a sample migration with field-level validation

    A representative slice — typically 100–300 records spanning clients, contacts, jobs, quotes, and invoices — migrates first. FlitStack AI generates a field-level diff report comparing source values against the Pipedrive destination values for every mapped field, including custom fields. You verify stage mapping (Powered Now job status to Pipedrive pipeline stage), value translation, and owner resolution. Adjustments to pipeline configuration, value mapping, and custom field creation are applied before the full run commits.

  5. Execute full migration with delta-pickup window

    The full dataset loads into Pipedrive. A delta-pickup window (24–48 hours after initial load) captures any records created or modified in Powered Now during the cutover window. All operations are logged in an audit trail. Pipedrive Automation rules are validated post-load to confirm triggers fire correctly on migrated Deal stages. A final reconciliation report confirms record counts, field population rates, and any records that require manual review. One-click rollback is available if reconciliation identifies data integrity issues.

Platform deep dives

Context on both ends of the pair

Powered Now logo

Powered Now

Source

Strengths

  • UK MTD compliance is native to the platform, eliminating the need for separate accounting software for straightforward sole-trader and small-business tax filing.
  • On-site invoicing with mobile card reader integration accelerates payment collection and improves cash flow for field-service businesses.
  • Unlimited contacts and quotes are included even on lower tiers, making cost predictable as the client base grows.
  • Digital forms and certificates are attached directly to jobs, keeping compliance documentation organised and retrievable without paper filing.
  • Cross-platform availability on iOS, Android, PC, and Mac ensures field engineers can use the app on whatever hardware they already carry.

Weaknesses

  • No published public REST API means third-party integrations must go through unofficial channels or Zapier/Make workflows, limiting automation options.
  • Data export appears to rely on CSV or in-app backup rather than a structured programmatic export, making bulk migration a manual process.
  • Pricing is per-seat, which becomes costly for larger field-service teams compared to flat-rate alternatives.
  • Advanced workflow automation (job routing, time tracking, Xero integration) requires higher-cost tiers, raising the effective price for growing businesses.
  • The platform is UK-primary; businesses with operations outside the UK or with non-UK accounting requirements may find compliance features incomplete.
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?

Standard CRM migration. 3 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 Powered Now and Pipedrive.

  • Object compatibility

    B

    3 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

    Powered Now: Not applicable..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Powered Now 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 Powered Now to Pipedrive data migrations

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

Can't find your answer?

Walk through your Powered Now to Pipedrive migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most Powered Now to Pipedrive migrations complete in 24–72 hours of clock time for under 10,000 records. Larger datasets with 10,000–50,000 records, extensive custom properties, or certificate and MTD data that requires parallel export files extend to 3–7 days. The longest planning step is pre-creating Pipedrive custom fields — each one requires a separate API call and key resolution before mapping can finalise. Migration of invoice and MTD data as a separate export file adds minimal time to the main migration run.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Powered Now.
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