Navigating Mergers & Acquisitions: The Minefield of Marketing Data and Consent

When companies merge or acquire one another, the headlines usually focus on strategy, valuation and market impact. But behind the scenes, there’s a complex web of operational challenges, especially when it comes to data ownership and consent management. This is often where legal theory clashes with practical reality.

Legal teams know the law. Marketing teams know the systems. But the gap between what should happen and what does happen can be considerable. And that gap is where risk lives.

It’s important to note that we are NOT legal experts, but this guide aims to give you a starting point for thinking about consent and marketing data while you go through marketing data migration as part of your company’s merger or acquisition activity.

Why are data, data rules and data compliance so complicated?

Every organisation has its own interpretation of privacy regulations like GDPR or CCPA. One company might rely on explicit consent for all marketing activities, while another leans on legitimate interest for certain types of engagements. There are also differences in how companies define a customer: is it someone who bought from you in the last three months, or those who are actively engaged?

What you sell, and how you sell, also comes into consideration. For example, how a SaaS company defines a customer will be different from a company that sells one-off pieces of hardware. There are many other Legitimate Interest scenarios that vary from company to company and different practices for recording it, and all of that has implications for how we treat consent.

These interpretations translate into different data models, different fields, flags, timestamps, and even different definitions of what ‘opt-in’ means. When you merge databases without reconciling these frameworks, you risk:

• Sending marketing emails without valid consent.
• Breaching privacy laws.
• Damaging customer trust.

It’s therefore critical to get your approach right- and that needs a strategy.

What are the common marketing and sales data challenges in M&A?

Before we go into that process of reconciling frameworks and merging databases, it’s important to truly understand what scenario we are dealing with. To do that, let’s break down some common M&A scenarios and their implications for marketing and sales data:

Mergers:

• Full Legal Merger: Both companies dissolve and form a single entity, which means all PII data becomes part of the new controller. To start with, privacy notices and consent records must be updated, but more importantly you will need to map out a new framework for consent for the newly combined entity.
  • Once you’ve done this, you’ll need to decide how to deal with the migration of data captured under the ‘old’ framework(s). You will want to move to a single marketing technology stack as soon as possible to keep things simple and effective.
• Holding Company Structure: Companies remain as separate legal entities under a parent. Data sharing requires intercompany agreements and clear lawful bases. You might be able to run separate consent frameworks, but that means sharing will be more complicated.
  • If you keep it separate, you’ll likely run your own marketing technology stack which means from a marketing perspective you won’t make many efficiency gains – and this might have been one of the objectives behind the merger. It would be preferable to move to a single stack and consent framework, but even if you do this clear data labeling and/or separation is important. That can be done in most mature enterprise grade platforms and that way you will make some efficiency gains and cost savings.
• Merged Entity with Multiple Brands: Legal entities merge, but brands remain distinct. Marketing systems must maintain segmentation to avoid cross-brand misuse, but the consent framework should be aligned. In this case, it’s also much better to move to a single stack, but clear data labeling or separation is important. Again, this can be done in most mature enterprise grade marketing automation systems.

Acquisitions:

• Full Absorption: The acquired company’s data is integrated into the acquirer’s systems. The benefit here is that you’ll not have to go through the process of defining a new framework as the assumption is that the acquiring company’s framework is the one you’ll use.
  • You should also prioritise migrating to a single marketing automation platform, but for segmentation purposes you will want to tag records coming in from the database that is being migrated. Strict separation is not likely to be required for legal reasons, at least not in the long run.
  • As part of the transition, it’s important to understand the consent framework of the acquired company and how that maps to the acquiring entity. Once that’s done you will have to think through the data and consent migration path. This will require validating consent and updating notices; where explicit consent is required under the leading consent framework you will want to run a re-consent campaign for the newly migrated records.
• · Subsidiary Model: The acquired company remains separate but may share data with the parent. Complex controller/processor relationships need formal agreements. Either way you should really aim to merge consent frameworks. In most cases you will continue to have two separate marketing automation instances or at the very least a very strict separation.
  • If that is the case, it’s much harder to achieve cost savings by merging your overall go-to-market (GTM) stack. If you’re able to convince your legal team, it’s better to merge systems as well as consent frameworks as that makes data sharing much more straightforward. This approach does require a mature enterprise grade marketing automation platform.

How can I manage database transitions in M&A integrations?

Now that we’ve broken down the common scenarios, it’s important to decide how to approach a transition. Fundamentally, before even thinking about merging databases, you need to:

• Understand each company’s consent framework
• Map how that framework translates into actual data points
• Identify discrepancies and decide on a unified approach.

Once you’ve completed those steps, you’re in a position to build a clear roadmap for the transition of your data and its associated consent rules.

How do I build a consent transition roadmap?

The following guide should help in building your roadmap for clear, structured and effective transition.

Phase 1: Discovery & Mapping

• Inventory consent frameworks and lawful bases including the basis on which legitimate interest is applied
  • Identify ‘categories’ of people (e.g. customers, ex-customers, prospects, partners, trial users)
  • Identify sources for data (e.g. contact us, sales, events, third party, content form)
  • Map consent-related fields (e.g. email opt-in, opt-in data, opt-in source)
  • Identify gaps and inconsistencies.

Phase 2: Risk Assessment & Decision

• Decide whether to adopt the stricter standard or run re-consent campaigns
• Validate with legal teams
• Document your reconciliation policy and migration path for audit purposes. Specifically call out changes in ‘categories’ of people and how legitimate interest application for these categories will change

Phase 3: Technical Alignment

• Normalise consent schema across systems
• Tag legacy consents with source and timestamp
• Segment contacts requiring re-consent.

Phase 4: Operational Changes

• Update all intake forms and landing pages with new privacy notice and consent language
• Adjust messaging to reflect new entity and any expanded purposes
• Merge or federate preference centres.

Phase 5: Communication & Re-Consent

• Notify customers and any other relevant ‘categories’ of people in your database about the change in controller and any new processing purposes
• Run re-consent campaigns for ambiguous or missing permissions where appropriate.

Transitioning data and consent: key takeaways

There are some critical points to note in any transition for merger or acquisition activity:

• Never assume consent is transferable. Validate it.
• Start early. Consent reconciliation is not a last-minute task and takes time and resource to complete successfully.
• Communicate clearly. Transparency builds trust during change.
• Document, document, document. Make sure your consent framework is well defined and transition paths are documented, both for clarity across your teams and in the event you are audited.

Remember, this isn’t legal advice, but it should provide you with a starting point for a conversation internally.

Make sure you validate your approach with your legal team. They are the ones that should sign off your plans but if you have done your homework, you will end up with a much better outcome for you as a Marketing Operations professional.

And don’t forget this is not just a legal thing, it is also about trust. If you get this wrong, the cost isn’t just regulatory, it’s reputational. For support with all aspects of marketing operations integration during mergers or acquisitions, contact us today. We can help your organisation navigate integration complexity by streamlining marketing operations, data and technology – accelerating integration, reducing risk and enabling scalable growth.