Three buyer types, a six-month enterprise cycle, and a CRM nobody trusts means leads leak, routing breaks, and reporting lies. We build the marketing operations plumbing that lets a real GTM motion scale without falling over.
The Problem
Three buyer types are crammed into one broken funnel
AdTech companies sell to brands, agencies, and publishers, and each one needs different routing, scoring, and nurture. Most marketing ops setups treat them as one generic lead flow, so an agency contact gets the same sequence as a publisher head of monetization and neither gets what they need. Leads land in the wrong queue, sit untouched, or get worked by a rep who has the wrong pitch. The pipeline you think you have is inflated by leads that were never going to convert because the system never sorted them properly.
A six-month cycle exposes every gap in the plumbing
Long enterprise AdTech cycles touch dozens of people over months, and any seam in your lead-to-revenue process compounds across that time. A field event lead that does not get attributed, a hand-raise that sits in a form-fill backlog, a stalled deal with no re-engagement trigger – each one quietly leaks revenue. Short B2C funnels can survive sloppy ops; a months-long multi-stakeholder cycle cannot. The longer the cycle, the more expensive every missing automation becomes.
Your reporting and your CRM disagree, so nobody trusts either
When marketing automation, the CRM, and the BI tool each tell a different story about the same pipeline, leadership stops believing all of them. Duplicate records, broken sync, and inconsistent stage definitions mean the number in the Monday meeting changes depending on who pulled it. Forecasting becomes guesswork and budget arguments become turf wars backed by incompatible data. The cost is not just bad reporting – it is decisions made on numbers everyone privately distrusts.
The whole system depends on one person who is the bottleneck
In a lot of growth-stage AdTech companies, the entire marketing ops function lives in one overloaded person's head and a sprawl of manual spreadsheets. When they are out, campaigns stall, leads stop routing, and reporting freezes. There is no documentation, no scalable process, and no redundancy, so the function cannot grow with the company. That single point of failure caps how fast the demand engine can scale and puts the whole motion at risk every time that person takes a vacation.
How We Help
We start with an operations audit of how a lead actually travels from first touch to closed revenue. In the first 30 days we trace real leads across brands, agencies, and publishers through your marketing automation, CRM, and reporting, and we find every place they leak, stall, or get misrouted. We document the stage definitions, the scoring logic, the routing rules, and the data flows that currently exist – usually for the first time – so we can see where the plumbing is broken versus where it was never built.
Strategy development designs the operating system for a multi-buyer AdTech motion. We define separate routing, scoring, and nurture paths for each buyer type, set consistent stage definitions everyone agrees on, and design the data model so marketing automation, CRM, and BI finally tell the same story. This is where marketing operations has to connect to the broader marketing function, because process that does not match how the demand and sales teams actually work just creates new manual workarounds.
Execution builds and rewires the stack. We implement the routing and scoring logic, clean the duplicate and broken records, fix the sync between systems, and automate the manual handoffs that the one ops person has been doing by hand. We set up the field, content, and paid lead-capture flows so every source is attributed and nothing falls into a backlog. The goal is a system where a lead from any buyer type gets to the right rep with the right context, fast, without anyone touching a spreadsheet.
Measurement instruments the funnel so the numbers are finally trustworthy. We build reporting that reconciles marketing automation, CRM, and revenue, so the pipeline number in the Monday meeting is the same number no matter who pulls it. We track stage conversion, routing speed, and leakage by source and buyer type, which is where this connects to measurement as a discipline. When the data agrees, forecasting gets real and budget arguments get settled by evidence.
What makes this different is that we run it as operators who have owned a demand number, not as a RevOps agency that configures a tool and leaves. We sit inside the GTM motion, fractionally, and stay until the plumbing is running on its own and documented so it does not depend on one person. We have scaled demand engines through messy, multi-buyer cycles, so we build operations that survive growth instead of breaking at the next stage.
What we deliver
- Operations audit tracing lead-to-revenue flow and every leak across buyer types
- Routing, scoring, and nurture paths built separately for brands, agencies, and publishers
- Cleaned CRM with reconciled sync across marketing automation and BI
- Automated lead-capture and handoff flows that remove the single-person bottleneck
- Trustworthy pipeline reporting with consistent stage definitions and leakage tracking
In AdTech, marketing ops is not a tooling problem – it is a triage problem. The moment you sell to brands, agencies, and publishers through one generic funnel, your pipeline number is fiction, because half the leads in it were routed by a system that could not tell the three buyers apart.
Our Methodology
Our marketing operations build for AdTech runs as a 90-day sprint focused on flow, not on tool configuration for its own sake. Phase one is the operations audit: we trace real leads from every buyer type through automation, CRM, and reporting, and document the routing, scoring, and stage logic that currently exists. We come out of phase one with a map of exactly where leads leak, stall, and get misrouted across a long enterprise cycle.
Phase two designs the operating system. We define buyer-specific routing, scoring, and nurture, agree on consistent stage definitions, and design the data model so automation, CRM, and BI reconcile. Every process decision maps to how the demand and sales teams actually work, so we are fixing the plumbing rather than adding a layer of new workarounds.
Phase three builds and installs. We implement the routing and scoring, clean the data, fix the sync, automate the manual handoffs, and stand up trustworthy reporting with leakage tracking. Unlike a RevOps agency that configures a platform and hands over admin access, we stay embedded until the system runs on its own and is documented so it no longer depends on a single overloaded person.
How We Work
Initial engagements run 3 to 6 months because operations only prove themselves once leads have flowed through the rebuilt system across a full cycle. The first 30 days are the operations audit: tracing lead flow, documenting current logic, and finding every leak. Days 31 to 60 design the operating system and build the routing, scoring, and data cleanup. Days 61 to 90 automate the handoffs, stand up trustworthy reporting, and document the system so it scales.
Our team includes an ops lead who owns the process and data architecture, an implementation operator who configures and rewires the stack, and a GTM operator who ties every routing and scoring rule to how the sales team actually works. From your side we need marketing leadership to define the motion, RevOps or admin access to the CRM and automation tools, and sales leadership to validate stage definitions and routing. We handle the audit, the design, the build, and the documentation.
The cadence is a weekly working session during the build and a monthly review once the system is live. Weekly sessions move the rebuild forward; monthly reviews track routing speed, leakage by source and buyer type, and pipeline-reporting accuracy. Most AdTech companies have buyer-specific routing live within 45 days and a fully reconciled, documented operations stack by the end of the sprint.
- Leads routed correctly by buyer type instead of dumped in one generic funnel
- Reduced leakage across a long enterprise cycle
- Pipeline reporting that reconciles across automation, CRM, and BI
- A documented system that no longer depends on one overloaded person
If your adtech company needs marketing operations leadership, we should talk.
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Frequently asked questions
How much does a marketing operations engagement cost for an AdTech company?
Most AdTech marketing operations engagements run between $20K and $50K per month depending on the state of your CRM and how much rebuild the routing and data cleanup require. That is less than a full-time marketing ops leader plus an implementation contractor, and it comes with operators who tie the plumbing to how deals actually close.
How long before we see results from a marketing operations engagement?
You get an operations audit and a clear map of where leads leak within the first 30 days, which usually surfaces problems your team suspected but could not prove. Buyer-specific routing and cleaned data land around day 45 to 60, and a fully reconciled, documented system is in place by the end of the sprint.
How does the marketing operations team integrate with our RevOps and sales staff?
We embed in your GTM motion rather than working as an outside agency. We run weekly working sessions with marketing leadership, work directly with RevOps or your CRM admin on access and configuration, and validate stage definitions and routing with sales leadership.
What makes Winston Francois different from a traditional RevOps agency?
RevOps agencies configure a tool, hand over admin access, and leave, which is why so many setups drift back into manual workarounds within months. We treat operations as a flow problem and stay embedded until the system runs on its own and is documented to scale.
How do you measure ROI from a marketing operations engagement?
We measure ROI by reduced lead leakage, faster routing and response times, and pipeline reporting accurate enough to forecast against. Because the rebuilt system removes the single-person bottleneck, you also get capacity back and reduced risk every time that person is out.
What type of AdTech company is the right fit for this service?
Series A through growth-stage AdTech companies between $5M and $100M ARR whose demand engine is outgrowing a single overloaded ops person and a sprawl of spreadsheets. The strongest fit is a company selling to multiple buyer types through one generic funnel, with reporting that no longer reconciles. The first step is an operations audit to map where leads leak and which parts of the plumbing were never built.
