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.
Post-merger
Where the value of an acquisition is actually realized
Between signing and realized value sits the line item nobody priced: moving thousands of customer datasets out of the acquired platform without losing the customers themselves.
M&A-ready is the last stage, not the first
Absorbing an acquired customer base is onboarding and data migration at once. The check shows where you stand on that ladder — and which of the stages below it is still missing.
Start the checkUp to 24 questions · about 5 minutes · free
How Micromerce moves an acquired base
AI drafts the mapping once. Your team approves, and it runs for every customer.
MSSQL, CSV, PDFs, legacy apps. If it holds customer data, the engine reads it.
The client portal walks each customer through their own cutover.
Who moved and when, validated against the target, on file at cutover.
Benefits
Feature-complete migrations
Integrated onboarding process
Aligned R&D, onboarding and support
Trusted partner for M&A enablement
Magicline, the European market leader in gym software, faced similar challenges and was able to achieve the following results by working with Micromerce:
Micromerce has helped us speed up our customers onboarding by up to 50% and significantly increase data migration quality.
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 waves form from the data, and the cutover state stays on file.
Data Migration Engine
Customer records out of 20+ source databases and formats 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.
Connects to the systems you already run
Your CRM, your project tool, your source databases
The onboarding starts from your CRM, the migration reads your source systems, and status arrives where your team already works. Nothing has to move into a new tool first.
10,000+ completed
data and process migrations
Data and process experts with various industry experience
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.
