16th Apr 2026
How marketing and sales operations teams navigate M&A data complexity
By Len Van Hoogenhuijze
Mergers and acquisitions promise strategic upside: bigger markets, expanded portfolios and stronger competitive position. But for marketing operations, sales operations and RevOps teams, the excitement usually comes wrapped in a far messier reality: systems that don’t match, data models that don’t align, and consent practices that might look similar from a distance but are managed quite differently across organisations.
While leadership focuses on commercial synergies, ops teams are left untangling the foundation that everything else depends on: the data.
A clear data migration strategy from day one
If you’re tasked with managing this as a project, you may have quite a daunting job ahead of you. It’s likely you will need to build an approach for merging or migrating pieces of your marketing technology stack against the backdrop of what could be a significant organisational transition. And, even in the best circumstances, that will come with considerable upheaval.
In a situation like this, it’s critical to have a plan!
In our earlier blog, we broke down the common M&A scenarios and their implications for data ownership, lawful basis and consent management. This follow‑up focuses on the practical side: how do marketing operations, sales operations and RevOps teams manage, unify, orchestrate and govern data during an M&A integration?
The goal is simple enough. We want to reduce risk, accelerate consolidation, and help teams operate confidently when systems remain fragmented. The practice, however, can be complex. To make your approach more structured, there are three core areas to focus on:
1. Choosing the right tools for data transition
There is a wealth of tools available to transition data, and that in itself brings complexity. If you’re lucky, you’ll have a straightforward scenario: the setup for each entity is simple enough, the volumes of data to transition are not vast, and the planned technology stack will be fully consolidated. If that’s the case, you could try to model and merge the data using spreadsheets, an approach that works well if the combined dataset is no greater than 100k records.
If the data volume is greater than this, however, it will get painful quite quickly. If the dataset is larger and/or the transition period is longer, but the data structure is not too complex, you could try to use a simple external SQL database to manage data across systems for a period of time. This will require you to have the skill in house, of course, and the reality is that this quickly becomes difficult to maintain.
Some might say a Customer Data Platform (CDP) is your best option, and this indeed might be a good solution if you’ll be living with disparate systems with overlapping data for some time. But implementing a CDP is hard to get right in the best of circumstances. It is certainly not something you will be doing as part of your M&A project.
Ideally. you already have a tool at your disposal that’s built for data orchestration and has the capability to handle complex M&A scenarios, whether they are temporary or longer term. This tool must be agile enough to deal with a constantly changing environment. Decisions might change the way consent is managed, or how sales territories will be divided up and identified across systems.
You need to be able to make the necessary changes quickly without being reliant on a developer. One platform that can handle this complexity without causing you a data headache is Openprise.
Here, we delve into how you can leverage the power of Openprise to meet your specific M&A challenges.
2. Delivering a smooth and controlled data migration
A successful migration starts long before the first record is moved. Openprise allows teams to model the combined account structure early on, using account hierarchy capabilities to link parent and subsidiary relationships, identify duplicates, and surface missing entities. This gives sales and marketing a complete and trustworthy view the moment systems are connected.
Once hierarchy alignment is established, the next challenge is normalisation. Every company entering an M&A has its own picklist values, classifications and naming conventions. Openprise can standardise industries, seniorities, job functions, territories and regions; clean formatting; validate mandatory fields; and map legacy field values into the newly defined data structure. Instead of losing months in spreadsheets, ops teams get rapid alignment across systems – and when changes are made along the way it is easy to roll this out across systems quickly.
Deduplication is another critical step. M&A almost always introduces duplicate Leads, Contacts, and Accounts; if target markets are overlapping considerably, we are talking about a significant percentage of databases. You can use Openprise to set rules based on recency, source quality, completeness and trust tiers to generate clean, unified golden records. This preserves attribution, routing accuracy and lifecycle continuity.
Of course, not all migrations can happen at once. Many organisations need to phase transitions. Sometimes a CRM consolidation happens before MAP consolidation, or vice versa. Openprise supports these hybrid periods by synchronising fields, including consent indicators, across systems. This allows data to flow safely while teams migrate gradually.
3. Operating effectively in a hybrid transition state
Most M&A integrations involve a transition phase where multiple CRMs or multiple MAPs remain in place. This is often the most painful period for ops, because misalignment becomes a daily operational challenge. Openprise acts as the orchestration layer that keeps everything functioning.
With its no‑code integration and transformation engine, Openprise can move, clean, unify and transform data across systems without relying on IT or middleware. Teams can maintain consistent values and complete records across Dynamics, Eloqua, HubSpot, Marketo, Pardot, Salesforce, Snowflake or any other part of the go‑to‑market stack.
One of the biggest risks in hybrid environments is consent inconsistency. If two MAPs maintain separate versions of the same person with different opt‑in values, accidental sends become a real threat. Openprise centralises consent fields, normalises values and distributes the aligned legal state back to every connected system. This protects compliance and reduces accidental exposure.
Routing, scoring, segmentation and ABM performance also depend on clean, unified data. Openprise maintains lead‑to‑account matching, enriched fields, and hierarchy logic so pipelines continue to operate normally even when systems are fragmented. This prevents wasted leads, missed opportunities, and inaccurate attribution.
The bottom line: reducing M&A risk with the right data orchestration solutions
M&A is one of the highest‑risk phases for any ops function. Data models collide, systems don’t sync, and consent frameworks must be reconciled carefully. Openprise gives teams an automation and orchestration layer that helps them navigate the complexity with confidence.
By supporting modelling, normalisation, dedupe, enrichment, unification, orchestration and consent synchronisation, Openprise allows marketing ops and sales ops teams to keep the business running smoothly before, during and after major system consolidation.
If your organisation is navigating a merger or acquisition, Openprise can help de‑risk your data migration and strengthen the foundations of your go‑to‑market engine, so your teams can focus on growth rather than firefighting.
FAQs
M&A activity brings together organisations with different systems, data models, consent practices and martech stacks, which rarely align neatly. While leadership focuses on commercial synergies, ops teams must reconcile conflicting structures, overlapping records and inconsistent data quality, all of which create risk if not managed carefully.
The priority is to establish a clear data migration strategy from day one. This includes understanding the combined data landscape, defining ownership and lawful basis for processing, and agreeing on the target data structure. Early planning minimises delays, reduces risk and ensures teams can continue operating even while systems remain fragmented.
The “right” tool depends on data volume, system complexity and how long the organisations will coexist in a hybrid state. While small datasets may be manageable in spreadsheets or SQL, most M&A scenarios require a dedicated data orchestration platform, such as Openprise, that can handle large volumes, complex transformations and continuously evolving requirements without heavy developer support.
Openprise helps teams model account hierarchies early, align naming conventions and picklist values, and deduplicate overlapping Leads, Contacts and Accounts to create unified golden records. It also synchronises fields across systems during phased migrations, ensuring consent, attribution and routing remain accurate even before full system consolidation.
During hybrid periods, often the most challenging part of M&A, Openprise acts as a central orchestration layer that keeps data consistent across systems. It maintains clean, unified values; manages consent across platforms; and ensures routing, scoring and ABM workflows continue to perform normally. This allows marketing and sales operations to function reliably despite fragmented technology.
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