How to Export Data from UGRU CRM: Methods, Limits & Formats

There is no single "Export Everything" button in UGRU CRM. The native Mass Export feature covers contacts and organizations in CSV format — nothing else. Financial plans, Decision Center calculator outputs, accounting ledgers, FINRA-compliant email archives, and document attachments each require a different extraction method, and most of those methods have significant limitations.

Here is what each export path actually gives you:

If your goal is a complete, migration-ready extract — especially if you are moving to Wealthbox, Redtail, or Salesforce Financial Services Cloud — the CSV mass export alone is insufficient. You need API extraction or direct coordination with UGRU's team to preserve relational links between households, financial plans, and individual contacts.

Migration-ready extract means more than a spreadsheet. You need source IDs, owners, timestamps, relationship clues, files, and compliance evidence preserved in a form the target system can actually use.

For context on why flat CSV files struggle with relational CRM data, see our breakdown of Using CSVs for SaaS Data Migrations.

Why Exporting Data from UGRU CRM Is Uniquely Complex

UGRU is not a standard CRM. It is a unified financial practice management suite that bundles CRM, financial planning, accounting, marketing automation, and compliance tools into a single platform. That tight integration is what makes it valuable for advisors — and what makes exporting from it painful.

Here is what is actually inside a typical UGRU instance:

• CRM data: Contacts (individuals and entities), organizations, leads, opportunities, sales pipeline, tasks, notes, referrals, document attachments, and keyword/tag metadata.
• Financial planning data: Goal-based plans, needs analyses, cash flow projections, estate plans, investment plans, retirement income plans — plus proprietary Decision Center Calculator outputs (Roth IRA conversions, reverse mortgage analyses, guaranteed income benefit calculations, Social Security optimization, Market Dynamics simulations, and fixed asset reallocation tests). UGRU supports aggregated account feeds from more than 10,000 institutions. (ugru.com)
• Accounting data: General ledger, accounts receivable, accounts payable, invoices, employee payroll records, and a P&L/Balance Sheet financial dashboard.
• Email and compliance data: All inbound and outbound emails archived in PDF format as retrievable reports for FINRA audit compliance, stored on WORM-compliant (non-rewriteable, non-erasable) media. (ugru.com)
• Marketing data: Drip campaigns, mass email history, campaign analytics (open rates, click-through rates, bounce rates), and workflow automation configurations.
• Document vault: Per-contact document storage supporting PDF, Word, Excel, and JPG files. (ugru.com)

The core problem: in UGRU, the CRM data is the planning data. Contact records are directly linked to financial plans, which reference Decision Center calculator outputs, which feed into plan summaries and money-flow reports. When you run a Monte Carlo simulation in UGRU, the engine draws directly from the contact's embedded asset and liability fields. A flat CSV export of contacts strips away every one of those relational connections.

How to Export Contacts and Organizations via CSV (Mass Export)

UGRU's Mass Export is the only self-service bulk extraction tool in the platform. It covers contacts and organizations — nothing else.

Step-by-step: Using UGRU Mass Export

1. Segment records before export. Separate people, entities, active clients, prospects, vendors, and inactive records. UGRU can convert an individual record to an entity and swap the primary contact, so you want those distinctions visible before anything lands in CSV.
2. Filter with saved searches and keywords. Exporting in controlled batches makes row-count QA easier than pulling one giant file. UGRU supports both saved searches and a keyword tagging system for reusable filtering. (ugru.com)
3. Run Mass Export for each batch. Select the filtered contacts and choose the Mass Export option. UGRU will generate a CSV file.
4. Download and preserve the CSV. Save the file locally. Keep every identifier the CSV gives you — source IDs, owner fields, lead/source fields, tags, entity markers, and spouse or household clues. Those fields make downstream mapping possible.
5. Validate counts immediately. Compare CSV row counts to the saved search or result count you exported from. Do not wait until import day to discover missing batches.
6. Freeze the originals. Save raw exports unchanged, then work from copies.

UGRU's FAQ recommends Chrome or Firefox with a PDF viewer for the best experience, which matters because a real export session usually spans CSVs, report files, and audit PDFs. (ugru.com)

What the CSV includes

• Individual and entity (organization) records
• Standard fields: name, address, phone, email, company
• Custom fields and keyword tags
• Lead status and contact classification

What the CSV does NOT include

• Notes and activity history
• Financial plans or calculator outputs
• Email correspondence (archived PDFs)
• Document attachments
• Household/entity relational links (e.g., which spouse belongs to which household)
• Accounting records (invoices, ledger entries)
• Sales pipeline and opportunity data
• Task and workflow history

workstream,source_area,method,format,filter,record_count,source_ids_present,owner
contacts,CRM,Mass Export,CSV,Active clients - people,1248,yes,ops
entities,CRM,Mass Export,CSV,Business or entity records,217,yes,ops
compliance,email,Email Report,PDF,2024-01-01 to 2026-04-03,36,n/a,compliance
plans,financial-planning,API or custom extract,unknown,all active households,412,yes,engineering
files,document-vault,bulk file extract or manual lane,mixed,all linked documents,5874,metadata needed,engineering

The CSV export is useful for a quick mailing list or a basic import into another CRM. It is not sufficient for a migration where you need to preserve client history, planning data, or compliance records.

How to Export Reports (Quick Report Export)

UGRU provides a Quick Report Export feature across several modules. You can click an icon to immediately print, save as PDF or CSV, and email reports as needed. (ugru.com)

This covers:

• Financial reports: P&L statements, Balance Sheet, Pipeline reports
• Financial Plan Summary: An auto-generated Word document summarizing plan recommendations in client-friendly language
• Money-flow Report: A spreadsheet report that directs staff to prep paperwork based on plan recommendations
• Database, asset, business, and compliance reports available via the quick export icon

Limitations of report exports

• Reports are per-client or per-module — there is no batch report export across all clients.
• Financial Plan Summaries are Word documents generated per plan; bulk extraction requires clicking through each client record.
• Money-flow Reports summarize recommendations — they do not contain the underlying calculator inputs, scenarios, or iteration history.
• No report captures the full Decision Center Calculator data (Roth IRA conversion parameters, Market Dynamics simulations, Social Security optimization inputs).

Report exports are designed for client-facing deliverables, not for data migration. They are useful for creating a compliance archive, but they will not feed structured data into your target CRM.

The Challenge of Exporting Financial Plans and Compliance Logs

This is where most UGRU migrations stall. Three categories of data resist standard extraction.

Financial planning data

UGRU's financial planning module includes goal-based planning, needs analysis, cash flow planning, estate planning, advanced planning, investment planning, and retirement income planning. The Decision Center Calculators — Roth IRA conversion, reverse mortgage, guaranteed income benefit, Market Dynamics, Social Security analyzer, term life/LTC, and fixed asset reallocation — generate scenario-specific outputs that are tightly coupled to individual contact records.

These calculator outputs are proprietary to UGRU's data model. No other financial planning tool (eMoney, MoneyGuidePro, RightCapital) uses the same schema. Even if you extract the raw data, you will need to map each calculator's inputs and outputs to equivalent fields in your target system — or accept that historical scenario data will be archived as flat records rather than live, re-calculable plans.

FINRA-compliant email archives

UGRU archives all inbound and outbound emails in PDF format as retrievable reports. This fulfills FINRA requirements for broker-dealer audits, which require electronic records to be preserved in a non-rewriteable, non-erasable (WORM) format for at least six years under SEC Rule 17a-4.

The compliance implications of migrating these archives are significant:

• You cannot simply delete the UGRU email archive. Under SEC Rule 17a-4 and FINRA Rule 4511, broker-dealers must retain electronic communications for a minimum of six years in WORM-compliant storage, with immediate accessibility for the first two years. If your UGRU subscription ends, you need to confirm those archives are either transferred to a new compliant system or retained by UGRU under a data retention agreement.
• PDF email archives do not import cleanly into most CRMs. Wealthbox, Redtail, and Salesforce FSC all handle email as structured records (sender, recipient, timestamp, body, thread ID). UGRU's PDF archives are rendered documents — they contain the same information but in a format that requires parsing to reconstruct as structured email records.
• Bulk download of PDF email archives is not a native feature. UGRU provides per-contact retrieval of archived emails. Extracting all archives across all contacts requires either API access or a custom engagement with UGRU's team.
• Outlook-linked email needs its own workstream. If users worked partly in Outlook, you may need both an audit archive lane (UGRU PDFs) and a mailbox extraction lane. UGRU supports export, import, and linking to and from Outlook. (ugru.com)

Document vault files

UGRU provides an independent document vault for each contact, supporting major file types (PDF, Word, Excel, JPG). The public documentation does not describe a self-service bulk document export workflow. Do not assume your file history comes out automatically just because the platform stores it. Treat file extraction, file-to-record mapping, and archive retention as a dedicated workstream. (ugru.com)

For a deeper look at these risks, see our guide on 7 Costly Mistakes to Avoid When Migrating Financial Data.

Using the UGRU CRM API for Complete Data Extraction

To extract a complete, relational copy of your database, you need the API. UGRU offers a developer API for custom integrations and data extraction, and their Statement of Services confirms custom work is billed at $150/hour. (ugru.com)

What the API enables

• Programmatic access to contact and organization records with relational links intact
• Extraction of structured data (contacts, tasks, opportunities, notes) in JSON format
• Potential access to financial planning and accounting data (depending on available endpoints)
• The ability to build a custom export script that preserves household → individual → financial plan relationships

Here is a conceptual example of the relational structure you can extract via API:

{
  "household_id": "98765",
  "household_name": "Smith Family",
  "primary_contact": {
    "contact_id": "12345",
    "first_name": "John",
    "last_name": "Smith",
    "financial_plan_id": "plan_8821"
  },
  "compliance_logs": [
    {
      "log_id": "log_001",
      "type": "email_archive_pdf",
      "download_url": "https://api.ugru.com/v1/compliance/logs/log_001/download"
    }
  ]
}

What to clarify before starting

UGRU's API documentation is not publicly detailed in the way Salesforce or HubSpot APIs are. Before committing to an API-based extraction, get written answers from UGRU's technical team on the following:

1. Which objects are exposed? Specifically: contacts, organizations, financial plans, Decision Center calculator data, accounting records, email archives, and document attachments.
2. Are there rate limits? Most SaaS APIs impose rate limits (requests per minute/hour). For a full extraction across thousands of client records, rate limits determine whether the job takes hours or days.
3. Is bulk export supported? Some APIs only support per-record retrieval, requiring pagination through every client.
4. What authentication method is used? API key, OAuth 2.0, or session-based auth will determine how you script the extraction.
5. Are financial plan objects available as structured data? Or only as rendered PDF/Word summaries?
6. What date/time formats and timezone handling apply?
7. Are deleted or inactive records visible via the API?

Treat API discovery as a real phase of the project, not a footnote. If endpoint documentation, rate limits, and export schemas are unavailable up front, the honest plan is an API discovery sprint first, extraction script second.

Mapping UGRU Data to Wealthbox, Redtail, or Salesforce FSC

The three most common migration targets for UGRU users in the RIA space are Wealthbox, Redtail, and Salesforce Financial Services Cloud. Each handles data differently, and the mapping work varies substantially.

UGRU → Wealthbox

Wealthbox imports CSV or Excel contact files and recommends loading them in the order companies → households → people → trusts. It can map custom fields during import, and notes can be imported separately by matching either an external unique ID from the prior CRM or an internal Wealthbox contact ID. (help.wealthbox.com)

What maps cleanly: Contacts, organizations, tags, tasks, notes, and basic opportunity data. Wealthbox supports CSV import for contacts and has a REST API for more complex ingestion.

What does not map: UGRU's financial plans, Decision Center calculator outputs, and accounting data have no equivalent in Wealthbox. These will need to be archived as attachments (PDFs) or migrated to a separate financial planning tool like RightCapital or eMoney. Email archives (PDFs) can be attached to contact records but lose their structured searchability.

Note that Wealthbox household records do not replace person records, do not carry the same demographic fields, and do not automatically aggregate custom fields, files, or person-linked email. Wealthbox's standard contact import flow also does not update existing records, which matters for staged cutovers. (help.wealthbox.com)

For details on Wealthbox's own export and import capabilities, see our guide on How to Export All Data from Wealthbox.

UGRU → Redtail

Redtail supports migrations from more than 40 platforms, offers complimentary imports, and completes most standard imports in 3–5 business days. Its Imaging product stores documents by contact, household, or document type, links files directly to Redtail CRM, and supports audit trails and retention policies. (redtailtechnology.com)

What maps cleanly: Contacts, organizations, activities, notes, and keyword tags (mapped to Redtail categories).

What requires custom work: Household relational links need reconstruction. Redtail's household model differs from UGRU's entity/individual structure — the Head of Household must be established explicitly, and UGRU's primary contact flag must be mapped to Redtail's Head of Household designation. FINRA email archives (PDFs) can be uploaded as documents per contact via Redtail Imaging, but they will not appear in Redtail's native email timeline.

If the destination model is "document attached to client record," Redtail works. If the destination model is "queryable financial plan with relationships intact," Redtail usually needs companion tooling or a more opinionated transformation layer.

UGRU → Salesforce Financial Services Cloud

Salesforce FSC is the most flexible target, but also the most complex to configure. FSC's official data model includes Household and Group relationships, Person Account, Financial Account, Financial Goal, and Financial Plan entities. Its Data Loader supports CSV import for all objects including custom objects, with Bulk API and Bulk API 2.0 for large jobs. (developer.salesforce.com)

What maps cleanly: Contacts (as Person Accounts), organizations (as Business Accounts), opportunities, and tasks.

What requires custom work: Financial plans can be stored as custom objects or attachments. Decision Center calculator outputs need a custom schema. The Household → Person Account → Financial Account hierarchy must be built during migration with an object-by-object load sequence, external ID strategy, and lookup crosswalks. Email archives require a separate document migration workstream.

If FSC is your target, do not start with PDFs and hope to clean it up later. Start with the source data model.

For the full picture on Salesforce FSC exports and architecture, see our guide on How to Export Data from Salesforce Financial Services Cloud.

Quick mapping reference

Why DIY Migrations Fail for Financial Advisory Firms

With UGRU, the failure modes are specific and predictable:

1. Broken household links. UGRU's entity/individual structure connects spouses, trusts, and business entities to a single household. A CSV export flattens this into individual rows. When you import into Wealthbox or Redtail, each person appears as an isolated contact — the household relationship is gone. Rebuilding it manually across hundreds of clients takes days.

2. Lost financial plan history. The CSV export contains zero financial planning data. If you do not separately extract and archive plan summaries, your new CRM has no record of what was recommended, when, or why. This is a compliance exposure — regulators can ask for documentation of prior recommendations.

3. FINRA email archive gaps. If your UGRU subscription lapses before you have transferred email archives to WORM-compliant storage, you have created a recordkeeping violation. Under SEC Rule 17a-4, broker-dealers must retain these records for six years with immediate accessibility for the first two years.

4. Accounting data orphaned. UGRU's QuickBooks-like accounting module (AR, AP, general ledger, invoicing) has no equivalent in Wealthbox or Redtail. That data needs to be migrated to a dedicated accounting tool — typically QuickBooks or Xero — as a separate workstream.

5. No rollback plan. A DIY migration typically involves canceling UGRU after the import. If data is missing and the subscription is gone, recovery is expensive at best and impossible at worst.

The other common failure pattern is compliance drift. A PDF archive can preserve evidence, but if you move it without a source index, retention instructions, and the right target record association, you preserved a file while weakening the control environment around it. Treat export, archive preservation, and import mapping as three separate tasks.

For a broader view of these risks, see our roundup of Top CRM Migration Solutions.

How ClonePartner Handles UGRU CRM Migrations

We specialize in exactly this kind of migration: complex source platforms where the native export covers 20% of the data and the other 80% requires custom extraction work.

For UGRU migrations, our process includes:

• Full API-based extraction of contacts, organizations, and relational links — preserving household → individual → financial plan connections that the CSV export destroys.
• Financial plan archival — We extract plan summaries, Money-flow Reports, and available Decision Center outputs and attach them as structured records in your target CRM, not just loose PDFs.
• FINRA email archive migration — We transfer PDF email archives to your new platform with correct contact association, so each archived email is linked to the right client record. We coordinate with your compliance team to ensure WORM storage continuity.
• Accounting data routing — We migrate UGRU accounting data to QuickBooks, Xero, or your firm's accounting platform, preserving ledger history and invoice records.
• Zero downtime — Your team keeps using UGRU during the migration. We run a delta sync before cutover to capture any records added during the migration window.

We split UGRU work into separate lanes: contact and entity extraction, relationship crosswalks, planning and report extraction, file and archive handling, target-specific mapping, dry-run QA, and final delta sync. That approach comes from 1,200+ migrations: flat files are only one part of the move.