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What gets lost in the merge? A MarTech integration survival guide for Mergers & Acquisitions

Introduction: When the champagne goes flat


So, the deal’s done. Execs are smiling. The press release is out. And you, the Marketing Ops pro, are suddenly holding a bag filled with duplicate CRMs, mismatched databases, and twenty tools all claiming to be “the single source of truth.”


Welcome to post-M&A MarTech integration.


If you’re feeling overwhelmed, you’re not alone. This guide is built for you - the ones in the trenches, the MOPs leaders, the stack whisperers. Because while M&A headlines talk about financials and synergies, what often gets lost in the merge is the very engine that drives go-to-market success: the marketing tech stack.


Let’s unpack the chaos, find the common pitfalls, and give you a survival framework to not just clean up - but come out stronger.



Chapter 1: The real cost of MarTech duplication


Mergers are famous for redundancy. Sales teams. HR policies. But nothing breeds more duplication than the MarTech stack.


Here’s what you typically inherit:


  • Two or more CRMs with no shared schema

  • Multiple email marketing platforms, each with active nurtures

  • A mix of CDPs, DMPs, and ESPs, all fighting for the “truth”

  • Redundant data warehouses - one cloud-based, one on-prem

  • Overlapping ABM, intent, and analytics tools


Multiply that by global regions and multiple business units, and you’ve got a stack that’s more Frankenstack than functional.


⚠️ What gets lost:


  • Data fidelity (field mismatches, mapping errors, skewed reports)

  • Campaign continuity (paused, duplicated, or misfiring automations)

  • Operational clarity (no one knows what’s live or critical anymore)

  • Internal trust (teams start going rogue to protect “their” platforms)



Chapter 2: why MarTech gets ignored in M&A planning


Let’s not sugar-coat it: MarTech is often an afterthought in M&A discussions. During due diligence, the focus is on:


  • Financials

  • Legal risk

  • Product overlap

  • Customer concentration


Tech? Lumped under “IT.” And Marketing tech? Buried beneath that.


Common (and dangerous) assumptions:


  • “We’ll just pick the better platform.”

  • “IT can handle the integration.”

  • “We’ll sort it out after close.”

  • “A vendor will take care of it.”


Spoiler: They won’t. And without a plan, you inherit a stack that slows down everything from segmentation to reporting.



Chapter 3: The MOPs integration checklist


You can’t fix what you can’t see. So here’s what to focus on first:


🔍 1. Audit everything


  • Inventory tools by function, owner, cost, and renewal date

  • Map current integrations, data flows, and automation dependencies

  • Identify active vs. dormant platforms


🧠 2. Define your ‘future state’


  • What will be the system of record for each function?

  • Which tools are strategic vs. tactical?

  • What gaps will need new investment?


🤝 3. Stakeholder alignment


  • Bring in Sales Ops, IT, RevOps, and Finance early

  • Assign owners for platform consolidation decisions

  • Create shared KPIs for integration success


🔄 4. Plan for phased integration


  • Don’t try to “big bang” it

  • Prioritise platforms that affect customer experience first

  • Build interim bridges for data sync and continuity



Chapter 4: The data danger zone


Let’s talk data - the lifeblood of every MarTech system. Post-M&A, it’s also a minefield.


What typically goes wrong:


  • Conflicting schemas and field definitions (e.g. “Region” means different things)

  • Duplicated records across systems with no clear dedupe logic

  • Misaligned consent and compliance flags (especially in global orgs)

  • Broken attribution and funnel reporting


If data isn’t mapped and migrated carefully, it creates chaos that lasts years.


✅ Pro move:


Create a data governance playbook early. Define naming conventions, field-level mapping, ownership, and hygiene standards. Without this, your new stack becomes a source of endless noise.



Chapter 5: Campaigns in limbo


Marketing automation platforms often house the most delicate machinery - triggered nurtures, scoring models, lead routing, etc. And most of it isn’t documented anywhere.


So when you merge two MAPs, you risk:


  • Breaking nurture sequences mid-flow

  • Duplicating emails to the same leads

  • Scoring models clashing or resetting

  • Ops teams operating in parallel, unaware of each other


🧩 Fix this first:


  • Freeze unnecessary new campaign builds during transition

  • Document existing automations and their business logic

  • Prioritize critical journeys (e.g. hand-raisers, opp-stage buyers)

  • Build interim workflows that can handle hybrid data inputs



Chapter 6: Managing the humans (yes, even them)


Let’s not forget the emotional side of integration. People are protective of their platforms, their data, and their ways of working.


Expect:


  • Political fights over tool ownership

  • Teams resisting platform sunsets

  • Shadow ops continuing in parallel

  • Attrition of key people with stack knowledge


🎯 Your job:


  • Over-communicate the plan and why it matters

  • Recognize team input and involve them in decision-making

  • Create a roadmap with clear wins to build trust

  • Design training and transition plans for shared tools



Chapter 7: Tech is the tactic, strategy is the unlock


The MarTech stack is not just a pile of tools. It’s the engine behind go-to-market.


So use this forced re-evaluation to ask bigger questions:


  • Are we building a best-of-breed stack or simplifying to a platform approach?

  • Can we consolidate vendors and leverage better pricing?

  • Where can we improve CX by aligning systems (e.g. sales + marketing handoffs)?

  • What does AI unlock once our data is actually unified?


The integration process is painful. But it’s also a chance to get strategic - and fix things that were broken long before the merger.



Key takeaways: Survive and thrive


✅ What to remember:


  • Start with an audit. Guessing = danger.

  • Map future-state architecture. Don’t just combine for convenience.

  • Fix your data layer first. Everything else depends on it.

  • Prioritize impact. Don’t optimize trivia.

  • Involve the right people. This isn’t just a Marketing problem.

  • Don’t assume AI is a shortcut. Clean systems first, then smart systems.



Final word: You didn’t ask for this - but you’re the one who’ll make it work


Mergers can feel like a tidal wave. But they’re also one of the only moments when you get a mandate to change everything - and build something better.


As a MOPs leader, you’re not just keeping the lights on. You’re rebuilding the engine, in real time, while the car is still moving.


It’s not glamorous. It’s not in the press release. But it’s where the real value of the deal either happens… or doesn’t.


Now go make it happen.



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