CRM & Data Migration

Move off the spreadsheets. For real this time.

Five spreadsheets, two email accounts, and a contacts list someone exported three years ago. We clean it up, deduplicate it, and migrate it into a system your team can actually maintain.

The problem

Customer data that no one trusts

The data exists. It's just spread across too many places to be useful. Duplicate contacts, stale records, information that only lives in someone's email. Your team doesn't trust the data, so they work around it instead of with it.

Customer records spread across multiple spreadsheets
Duplicate contacts that no one has time to clean up
Key information trapped in email threads
No single source of truth for customer or job data
Legacy exports from old systems gathering dust
New tools adopted but never properly set up or populated

What we do

Clean data, proper systems, teams that actually use them

We handle the hard part: extracting, cleaning, deduplicating, and migrating your data into a system that works. Then we make sure your team can maintain it without needing us.

Data audit to understand what you have, where it lives, and what's missing
Cleaning and deduplication: merge duplicates, flag stale records, standardise formats
CRM setup configured around your actual workflows, not default templates
Migration with data moved cleanly from spreadsheets, legacy systems, or other platforms
Sync setup with ongoing connections between platforms that need to stay in step
Handover with your team trained on the system, plus documentation they'll actually read

Typical use cases

Where this applies

Spreadsheet-to-CRM migration

Customer data living in Google Sheets, Excel, and email. We clean it, deduplicate it, and set up a CRM your team can maintain. Proper fields, views, and workflows included.

Legacy system export

Old system being retired, data needs extracting. We pull it out, structure it, and migrate what matters into your new platform.

Multi-platform sync

Customer data in your CRM, accounting in Xero, jobs in a project tool. We set up reliable sync so changes in one place show up in the others.

Data quality cleanup

Thousands of contacts, hundreds of duplicates, no one trusts the numbers. We clean it up, set rules to keep it clean, and give you data you can actually report on.

What goes wrong

Why CRM projects usually fail, and how we avoid it

Data quality problems

  • Duplicate contacts no one has time to clean up
  • Stale records that make the whole database untrusted
  • Bad field structure that makes reporting useless
  • Orphaned notes and context trapped in email threads

Adoption problems

  • Migration done but nobody actually uses the CRM
  • Team reverts to spreadsheets within weeks
  • System doesn't match how the team actually works
  • No training, no documentation, no ownership

In practice

What a CRM migration looks like

A typical project starts with a data audit: we look at what you have, where it lives, and what state it's in. Then we clean, migrate, and set up the target system. Your team gets a working CRM with real data on day one.

crm.app
Hargreaves Ltd:ActiveLast: 2 days ago
Clarke & Sons:ActiveLast: 5 days ago
MPC Group:Duplicate detectedNeeds review
Reynolds Eng.:ImportedFrom spreadsheet
BHG Ltd:Stale90+ days

Getting started

How projects usually start

We start with a data audit: what you have, where it is, and what needs cleaning. Then we scope the migration. Which data moves, how it maps to the new system, what needs deduplication. Most migrations take 2 to 5 weeks depending on volume.

1

Discovery call

2

Scope & quote

3

Build & deliver

Typical first engagement

  • Data audit first, then scoped migration
  • 2 to 5 weeks depending on volume
  • Cleaning and deduplication included
  • Team trained on the new system
  • Handover with documentation

Common tools we work with

Google SheetsExcelHubSpotPipedriveAirtableXeroCSV / legacy exports

FAQ

Common questions

Ready to get off the spreadsheets?

Tell us what you're working with: how many contacts, what systems, how messy. We'll tell you what a clean migration actually involves.

Discuss your data