Marketing Operations
The execution layer behind every campaign — built to run reliably at 100k contacts, not just at launch.
Marketing operations is the infrastructure most teams only notice when it breaks: a deliverability problem that tanks open rates overnight, a lead lifecycle with no clear handoff to sales, a MAP migration that quietly drops half your segmentation rules. We build this layer so it doesn't break — and so it's still working the same way at 100,000 contacts as it did at 5,000.
We've run marketing operations inside scaling B2B SaaS companies for 7+ years. We know what breaks when you migrate from Pardot to HubSpot, what breaks when you add a second MAP instance, and what needs to be in place before either happens.
What's included
Deliverability erodes quietly — a shared IP gets flagged, SPF/DKIM/DMARC drift out of alignment, and open rates drop 20% before anyone notices the domain is the problem. Lead lifecycle stages get defined once at MAP setup and never revisited, so what counts as an MQL two years later has nothing to do with what actually converts. And every MAP migration we have ever seen loses something — the only question is whether it gets caught before or after it costs you a quarter of pipeline reporting.
We treat marketing operations as infrastructure, not a campaign task. That means deliverability audits before a migration, not after; UTM governance that is enforced, not documented and ignored; and a lead lifecycle definition that marketing, sales, and RevOps all actually agree on.
Scope
Job descriptions for marketing ops roles are usually a list of tools. That's the wrong frame — the tools change every two years, the four responsibilities don't.
Sending infrastructure. Domains, subdomains, SPF, DKIM, DMARC, IP warming, suppression logic, and the reputation of every address you send from. This is the only part of marketing ops where a mistake is retroactive: once a sending domain is burned, no campaign fixes it. Our email deliverability audit checklist is the same one we run in week one of an engagement.
Lifecycle and scoring. The stages a person moves through, what advances them, and who owns them at each step. Most lifecycle models were written once during MAP setup by whoever happened to be in the room, and never revisited against what actually converts. Scoring that has never been validated against closed-won is decoration.
Campaign operations and governance. Naming conventions, UTM parameters, form standards, template libraries, QA before send. Unglamorous, and the difference between a reporting layer that works and one where 30% of sessions land in "direct / none". It is also the governance layer that has to exist before anyone generates content at scale — the ABM personalization factory shows what that looks like when every claim is traceable to an approved source.
Platform administration and integration. The MAP itself, its sync with the CRM, field mapping, and the failure handling for when that sync breaks — which it will. Field-level conflict rules matter more than most teams expect; see the CRM-to-MAP integration checklist for the mapping decisions that cause the most downstream damage. If you are still choosing the platform itself, we track the active vendors in marketing automation and campaign management with their review sources.
A team that owns all four is doing marketing operations. A team that owns only the fourth is doing platform administration, which is a real job and a different one.
Migrations
Pardot to HubSpot, Marketo to HubSpot, HubSpot to Marketo when a company moves upmarket — the direction changes, the failure modes don't. Four things break, in roughly this order.
Segmentation logic doesn't port. Dynamic lists in one platform and smart lists in another evaluate membership differently, and a rule that reads correctly in both can return different populations. Every list that drives a live program has to be rebuilt and reconciled against a count, not visually inspected.
Historical engagement data arrives flattened. Opens, clicks, and form submissions usually import as records without the campaign context that made them meaningful. If your scoring model reads engagement recency, it will misfire the week after cutover unless you decide in advance what history you're keeping and what you're accepting the loss of.
Sending reputation resets. A new platform means new sending infrastructure. Sending your full database from a cold configuration on day one is the most common way a migration turns into a deliverability incident. Warm deliberately, starting with your most engaged segment.
Field mapping quietly diverges. Conditional mapping between the CRM and the new MAP — which system wins on conflict, per field, per direction — is decided during setup and rarely written down. Six months later nobody can explain why lead source keeps reverting.
We run migrations with the old platform still sending until the new one is reconciled. It costs one month of overlapping licence fees and removes the failure mode where you discover the gap in reporting after the data is gone. If the migration is CRM-side rather than MAP-side, the HubSpot to Salesforce migration checklist covers that path.
Honest Answer
Most people searching for a marketing operations agency are deciding between three options, not shopping one. Here is the version we'd give you on a call.
Hire in-house when the work is continuous and the systems are already sound. If your MAP is stable, your lifecycle is agreed, and the load is a steady stream of campaign builds and reporting requests, a full-time marketing ops manager is better value than any agency. The work is daily and it benefits from someone who knows your product.
Bring in an agency when the work is a project with a defined end. A migration, a deliverability rebuild, an attribution model, a lifecycle redesign. These are concentrated, need patterns from having done them repeatedly, and then stop. Hiring a full-time person for a three-month build leaves you with a role that outlasts the need.
Go fractional when you need the judgment but not the hours. Common between Series A and Series B: enough complexity to need someone senior deciding the architecture, not enough volume to fill a week. A fractional lead sets the direction, and a coordinator or contractor executes against it.
The one combination we'd argue against is hiring a junior in-house marketing ops person to fix a broken system. The work in front of them is architectural, and they'll inherit decisions nobody can explain. Fix the architecture first, then hire someone to run it. We've written the longer version of this trade-off for the RevOps side in agency versus in-house hire.
Setup
A marketing operations setup done in the right order takes about six weeks. Done in the wrong order it takes six months and you rebuild half of it. The sequence matters more than the tooling, and most B2B teams we meet did it in reverse.
Authenticate the sending domains before anything sends. SPF, DKIM, DMARC, a dedicated sending subdomain, and a warming plan that starts with your most engaged segment. This step goes first because it is the only one that cannot be corrected later. A burned domain stays burned, and no amount of budget buys the reputation back.
Agree the data model before configuring the platform. What counts as a lead, what counts as a contact, whether you run accounts, and which system wins on conflict for each field. Teams that skip this configure the MAP first, then discover six months later that their definitions are whatever the setup wizard defaulted to.
Define lifecycle stages before scoring anything. Stages describe where someone is. Scores guess where they are going. A scoring model built on stages nobody agreed to is a number two departments will argue about for a year.
Build reporting last. Dashboards depend on every layer beneath them being right, which makes them the worst available starting point and the most commonly chosen one.
For a company under about thirty people running a single sales motion, that is genuinely the whole setup. It only gets harder when the motions multiply.
Scaling
Marketing operations consulting for a scaling B2B firm is rarely about adding tools. It is almost always about a setup that assumed one motion, at a company now running three.
A second motion breaks the single lifecycle. The stages that described one sales-led funnel stop describing a self-serve signup, a partner-sourced deal, or an expansion opportunity. Forcing all three through one lifecycle produces conversion rates that are an average of unrelated things, which is worse than no number at all. The self-serve motion in particular needs its own qualification path — scored from usage events, not form fills — which is the PLG-to-sales handoff pattern.
Routing stops being a rule and becomes a system. At twenty people, round-robin works. At eighty, with territories, segments, named accounts, and a partner channel, routing needs explicit ownership, fallbacks for every branch, and an SLA that something actually measures. The failure mode is silent: leads land with nobody and nobody notices until a quarter closes short. At that scale routing is a candidate for an agent with an enforced SLA and a human escalation path — the speed-to-lead qualification agent is how we'd architect it.
The reporting layer inherits every earlier compromise. The field that two systems both write to, the campaign taxonomy that drifted, the lifecycle stage added for one launch and never removed. None of it mattered at small scale. All of it surfaces the first time a board asks why two decks show two pipeline numbers.
The work at this stage is subtraction more than construction — retiring definitions, collapsing duplicate fields, deleting automations nobody can explain. If sales and marketing are already reporting different numbers, that is revenue operations territory, and it is a different engagement.
FAQ
In a fixed order: sending authentication, then the data model, then lifecycle stages, then scoring, then reporting. About six weeks for a single-motion B2B company. The order is the whole trick — reporting built before the definitions hold has to be rebuilt once they do.
Usually untangling a setup that assumed one sales motion at a company now running several. Separating lifecycles per motion, rebuilding routing with real ownership and fallbacks, and retiring the fields, stages, and automations that accumulated on the way up. More subtraction than construction.
Project work starts at $15,000 for a fixed-scope 90-day build. Ongoing marketing ops management runs as a fractional retainer from $5,000/month.
We are the layer under them. Demand gen teams create campaigns; we build the infrastructure those campaigns run on — deliverability, lifecycle, UTM governance, MAP administration. Most marketing teams are glad we exist, because their results finally become measurable.
For project-based work, typically 1 to 2 weeks from signed agreement to kickoff. For fractional retainers, we can start within a week.
If your platform is stable and the work is a steady stream of campaign builds and reporting, yes — a full-time hire is better value than any agency. Bring us in when the work is a defined project with an end: a migration, a deliverability rebuild, a lifecycle redesign. The combination we'd argue against is hiring a junior in-house to fix a broken system, because the work in front of them is architectural.
Six to ten weeks for a mid-sized B2B SaaS instance, with the old platform still sending for the last two of those. The variable is not the platform — it's how many live programs and dynamic lists have to be rebuilt and reconciled against a count before cutover.