Datahikes provides Zoho CRM data migration services to UK businesses moving from Salesforce, HubSpot, Microsoft Dynamics 365, Pipedrive, Freshsales, Bitrix24, Odoo and spreadsheet-based systems. Every migration begins with an audit of your source data, followed by explicit field mapping, a staged test import, and post-migration validation of record counts and relationships. UK GDPR handling is mapped and tested before any data moves. We have delivered migrations for businesses across the UK since 2019 as a certified Zoho partner.
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Most people picture migration as exporting a CSV from one system and importing it into another. That works for a contact list. It does not work for a CRM, because a CRM is not a list. It is a set of records connected to each other: contacts belonging to accounts, deals attached to both, activities logged against all three, notes and attachments hanging off individual records, and custom objects that may not have an obvious equivalent in the destination system.
A migration that moves rows without preserving those connections produces a system that looks populated and is functionally useless. The account record exists, the deal exists, but the deal is not attached to the account. The activity history is present but orphaned.
Users open the CRM, find that the customer they are calling has no visible history, and go back to the old system or their own notes. The migration technically succeeded and the project failed.
Every record that existed before exists afterwards, with the same field values intact.
The links between contacts, accounts, and deals remain connected, not just present.
Activities, notes, emails, and attachments stay attached to the correct parent record.
Automation, validation, and reporting logic has a working equivalent in the new system.
Migrations usually fail on the third and fourth, because they are the parts that do not show up in a record count.
Each source platform presents different challenges. Field types behave differently, relationship models vary, and what one system stores as a single record another splits across several. We maintain dedicated guidance for each of the platforms we migrate from most frequently.
The most complex migrations we handle. Salesforce environments accumulate custom objects, validation rules, workflow logic, approval processes and often third-party managed packages, each of which needs assessment rather than transfer. We audit what is actively used against what has simply accumulated, then rebuild only what earns the effort.
HubSpot migrations centre on the marketing side as much as the CRM side. Contacts carry lifecycle stages, list memberships, form submissions and email engagement history that shape how the sales team works. We map these into Zoho CRM and, where relevant, Zoho Marketing Automation, rather than discarding them.
Dynamics environments frequently include entity relationships and business process flows that have no direct Zoho equivalent. We rebuild these as blueprint processes and custom module structures, and are explicit at scoping about anything that will need a different approach rather than a like-for-like transfer.
Pipedrive migrations are usually cleaner, since the data model is simpler. The work sits in preserving full deal history, activity logs and pipeline continuity so the sales team does not lose the context it relies on, and in expanding into the structure Zoho supports but Pipedrive did not.
Freshsales stores contact, lead, deal and email history in structures that map reasonably well to Zoho CRM. The common issue is duplicate accumulation across leads and contacts, which we resolve during the audit stage rather than importing and cleaning afterwards.
Bitrix24 combines CRM with task, project and collaboration functionality, so migrations usually involve deciding what belongs in Zoho CRM and what belongs in Zoho Projects or Zoho Connect. We scope that split explicitly before any data moves.
Odoo migrations often involve separating CRM records from ERP data that should stay where it is or move to Zoho Books or Inventory instead. Field mapping requires care because Odoo's relational model differs substantially from Zoho's module structure.
A significant share of UK migrations start from Excel, Google Sheets, Access databases or systems old enough that export options are limited. These are not simpler than platform migrations, they are differently difficult: data quality is usually worse, structure is inconsistent, and the same customer may appear in three files under three spellings. The audit stage matters more here than anywhere.
Stage One
Before anything moves, we process your existing exports to identify what you are actually working with. That means duplicate records across and within modules, broken or missing relationships, inconsistent field values, unmapped custom objects, blank mandatory fields, and formatting inconsistencies that will fail on import. We use AI-assisted tooling for this stage, which lets us process full datasets rather than sampling.
The output is a written audit report showing what will transfer cleanly, what needs cleaning first, and what has no destination in Zoho CRM and requires a decision from you. This is where migration projects are won. Dirty data carried into a new system is the single most common cause of CRM implementation failure, and it is almost always visible in the audit if anyone looks.
Stage Two
We produce an explicit field mapping document listing every source field against its Zoho CRM destination, including the transformation rule where formats differ. Picklist values are mapped individually rather than assumed. Custom fields that do not exist in Zoho CRM are created before import rather than discovered missing during it. Fields with no sensible destination are flagged for your decision: drop, create, or consolidate.
For UK migrations this stage also covers format standardisation, since none of the following issues fail loudly. They quietly break telephony integration, territory rules and date-based automation instead.
Stage Three
We import a representative sample, typically fifty to a hundred records selected to include edge cases: records with missing fields, unusually long values, special characters, complex relationships and unusual picklist entries. We then validate the result field by field against the source before proceeding.
Stage Four
The full load runs module by module in dependency order, accounts before contacts, contacts before deals, deals before activities, so relationships resolve correctly rather than pointing at records that do not yet exist. Attachments and notes follow. For larger datasets we run this outside business hours to avoid contention.
Stage Five
We cross-validate record counts per module against source totals, verify relationship integrity by sampling parent and child records, check field values on a statistically meaningful sample, and confirm that activities and attachments are attached to the correct parents. AI-assisted validation lets us check every record rather than spot-checking, which is what catches the discrepancies manual QA misses.
You receive a validation report showing counts, any records skipped and why, and a reconciliation between what left the source system and what arrived.
Stage Six
We manage the switchover, including a final delta import to capture records created in the source system during the migration window. Your old system stays available in read-only mode for a period afterwards as a reference point. We remain on active support through stabilisation.
Almost every source system contains duplicates, often created by integrations or web forms over years.
How we handle it
We identify duplicates during the audit and agree a merge rule with you before import, rather than importing everything and asking your team to clean up afterwards. Post-import deduplication is significantly harder because you have lost the source of truth.
Deals pointing at accounts that were deleted. Activities logged against contacts that no longer exist. These orphans exist in most systems and will either fail on import or import as disconnected records.
How we handle it
We surface them in the audit and agree whether to repair, reparent or exclude before any record moves.
Where a source field is free text and the destination is a picklist, or where picklist values differ between systems, unmapped values are silently dropped by most import tools.
How we handle it
We map every value explicitly, including the long tail that only appears in a handful of records.
Salesforce custom objects and Dynamics custom entities frequently have no natural Zoho CRM counterpart.
How we handle it
We assess each one: rebuild as a custom module, fold into an existing module as additional fields, or drop where it is no longer used. That decision is yours, made with our recommendation, before build begins.
Attachments are the most commonly lost element in a migration because many export tools handle them separately or not at all.
How we handle it
We treat attachments as a distinct workstream with their own validation, rather than assuming they came across with the parent record.
Workflow rules, assignment logic and validation built around the old field structure will not transfer.
How we handle it
We document what exists in the source system during the audit and rebuild the equivalents in Zoho CRM, tested before go-live. Post-migration configuration work is covered on our Zoho CRM optimisation page.
Timelines depend on record volume, source complexity and how much configuration accompanies the migration. As a guide:
What is included: these figures cover the audit, mapping, test import, full load, validation and cutover.
What is not assumed: that your team does preparatory work. Where you can clean data before handing it over, timelines compress.
Datahikes has delivered Zoho implementations and migrations since 2019 across more than twenty countries and fifteen industries. We are a certified Zoho partner and our consultants hold active Zoho certifications. Migration work stays within our certified team, with no subcontracting and no handover to junior staff after the scoping call. You can read more about our UK practice on our page for businesses working with a certified Zoho CRM partner in the UK.
We work with businesses across the country, with regional practices covering the following counties among others.
Where migration is accompanied by new integrations, our Zoho CRM integration services cover the build.
July 2026 · Reviewed periodically for current data
Jai, Zoho Solution Architect at Datahikes.
Not if the process is followed. Every record that exists in the source and has a valid destination transfers, and the validation report reconciles what left against what arrived. What does get lost, deliberately, is data you decided not to bring: duplicates, orphaned records, and anything you no longer have a lawful basis to hold. Those decisions are yours, made at audit stage, and documented.
There is no extended downtime. The old system stays live throughout the migration and remains available in read-only mode afterwards. Cutover happens over a defined window, usually outside business hours, with a final delta import to capture anything created during the transition.
Yes, and we treat them as separate workstreams with their own validation because they are the elements most commonly lost. Email history depends on how the source system stored it and whether it was synced from a mail server or held natively. We confirm what is retrievable at audit stage rather than promising in advance.
They do not transfer, because they were built around the old system's field structure. We document what exists during the audit and rebuild the equivalents in Zoho CRM as part of the project. Reports usually improve in the process, since it is an opportunity to remove ones nobody opens.
Yes. The methodology is source-agnostic: audit, map, test, load, validate. We have migrated from Capsule, Insightly, Sugar, Zendesk Sell, various industry-specific platforms and a considerable number of spreadsheets. If your system can export, we can work with it.
It depends on record volume, number of source systems, custom object complexity and how much automation needs rebuilding. A single-source migration of a few thousand records with straightforward structure sits at the low end. An enterprise Salesforce migration with custom objects and rebuilt process automation sits considerably higher. We scope from your actual source data and quote a fixed figure rather than estimating on a call.
Book a scoping call and we will review your source system, discuss what needs to transfer, and give you an honest assessment of complexity, timeline and cost. If part of your data should not move, we will tell you that as well.
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