Customer migration after an M&A transaction
Move acquired customers without pausing the business.
The engine that onboards one new customer moves the entire base: customer by customer, validated, on the record.
For you if an acquisition has to move onto your platform.
Looking for onboarding new customers or getting data out of a legacy system?
Where acquisitions lose momentum
Two systems, one customer base. Every month of running both costs twice.
The acquired data is worse than the deal assumed. Now it is your problem.
The migration runs on hand-built jobs. One person knows how, and they are busy.
Customers notice transitions. The ones you just bought notice them most.
After the deal
Where the value of an acquisition is won or lost
Between signing and the value you planned sits the line item nobody priced: moving thousands of customer datasets out of the acquired platform without losing the customers themselves.
How an acquired customer base moves
Who does the work, what keeps running, and how you know each customer arrived complete.
Your team decides, our engineers carry the hard sources
Your onboarding team runs the queue and signs off each customer. Our migration engineers take the sources that need code and hand the routine back.
The acquired platform keeps running
Customers keep working in the old system until their own move. No freeze and no fixed cut-off date: each customer moves on their date.
Every customer reconciled before cutover
Records, counts and sums are compared source against target for each customer. A deviation is named before anyone switches over.
A pilot cohort, then the base
A pilot cohort usually migrates within 4–6 weeks. Then the approved mapping runs customer by customer through the rest of the base.
Did everything arrive, and is it right?
When the auditor asks about data validation: what is the basis? Where is the result? Where is it frozen? Where can I compare it?
Did every record arrive?
Records are counted per data type and location, source against target. Each location gets a go or a no-go, with the deviation named.
Do the numbers still add up?
Counts and sums are compared between source and target in every test run, so a difference shows up before anyone cuts over.
Can you prove it later?
Every run is logged with time, operator and result. Each test import is a frozen snapshot, immutable on S3 Object Lock for ten years.
What moving an acquired base takes
From projects we run ourselves, not from a model.
2,500+
locations migrated in a single acquisition
4–6 weeks
for a pilot cohort
3–6 months
for a base of thousands of customers
Sport Alliance moved the customers of several acquisitions onto Magicline with Micromerce:
Micromerce helped us accelerate our customer onboarding by up to 50% and significantly improve data migration quality. Their exceptional collaboration and dedication to always going the extra mile have enabled us to achieve our goals efficiently and effectively.
Konstantin Wolkowa
COO - Sport Alliance GmbH
The platform features behind this solution
Each one works on its own. These four do the work here.
M&A Migration Suite
Several acquired source systems through one engine. Every customer sits in one queue, the batches form from the data, and the cutover state stays on file.
Data Migration Engine
Customer records from 20+ data sources into your target system. AI proposes the mapping, your engineers approve.
Security & Compliance
Hardware keys, data anonymised before any model sees it, processing in your own region, and an audit trail behind every change.
Feature Discovery & Gap Management
Feature usage read out of the migration data and linked to your roadmap. See which customers are blocked, by what, and what it costs.
20+ data sources
without custom code
Databases, files and APIs out of the box: MS SQL, Oracle, PostgreSQL, Excel, CSV, S3.
The tools your team already works in connect the same way.
FAQs
It depends on the size of the acquired customer base and data complexity. A pilot cohort usually migrates within 4–6 weeks. Migrating an acquired customer base of thousands typically takes 3–6 months, customer by customer through one queue, not a big-bang cutover.
That’s common. Most teams hit a wall when manual scripts can’t scale beyond the first 50–100 customers. Micromerce picks up where scripts break down, with repeatable templates, automated validation, and batch processing.
Yes. We specialize in multi-entity customers, nested hierarchies, and industry-specific formats like ERP structures. Our AI mapping layer learns from every migration, so complex schemas get easier over time.
No. Micromerce integrates into your existing stack. If you already use tools for project management or customer communication, they stay. We handle the data migration layer those tools weren’t built for.
Every customer gets a branded portal where they can track progress, upload data, and complete tasks. Your team stays in control, without answering “What’s the status?” emails.
Mostly B2B SaaS companies that acquired a competitor and need to sunset the legacy platform. We’ve run 10,000+ onboardings and migrations across industries, from fintech to HR tech to logistics.
Further reading
From practice, shorter than a call.
Successful Data Migration: Best Practices for Effectively Migrating Your Data
Data migration is essential for modernizing IT systems, consolidating data centers, and implementing new applications. It encompasses various types, including storage migration, database migration, application migration, cloud migration, and business process migration. Challenges such as data quality, system compatibility, and security can be overcome through careful planning, the use of automation tools, and continuous monitoring. Micromerce provides comprehensive support with a powerful migration platform, proven processes, and extensive experience from over 3,000 successful projects. Companies benefit from transparent insights and efficient solutions, especially in complex migration scenarios such as mergers and acquisitions.
CRM data migration: why accounting is the hardest part
In a CRM data migration the effort does not sit with contacts and companies. It sits with the commercial records: invoices, payments, credit notes, open items and contracts. These records carry a history that may be neither altered nor shortened, and their correctness is verifiable against a single number, the balance. Nobody notices a wrong address. Everybody notices a wrong balance.
Data migration risks in a regulated environment
The main data migration risks in a regulated environment are not volume or technology. They are the burden of proof: for every migrated record it must later be traceable which source it came from, which rule changed it, and who approved that. This shifts effort out of development and into documentation and coordination, typically at a ratio of two to one against a comparable project outside regulation.
Thirty minutes on your acquired customer base, not our slides
No generic demo. The first fifteen minutes are yours: your onboarding, your bottlenecks.- We tell you if we are not a fit. Better in minute twenty than in month three.
- No gap afterwards. You hang up knowing what happens next and when.
