
Long interconnection queues, committee-based buying, and IRA incentive timing turn marketing ops into a data-integrity problem, not a tooling problem. We rebuild the routing, scoring, and reporting layer so your team runs campaigns without reconciling four systems by hand. The result is a marketing ops function your CEO and board can actually trust.
Your MarTech Stack Was Built for a 3-Month Sales Cycle, Not an 18-Month One
Most cleantech and energy companies inherited a stack built for straightforward SaaS motion – HubSpot or Marketo bolted onto Salesforce, plus a webinar tool nobody wired in. That's fine for a 90-day deal. It breaks when your cycle spans an interconnection queue, a utility procurement calendar, and a board sign-off that runs 12 to 24 months. By close, nobody can say which campaign actually touched the deal.
Lead Scoring Doesn't Know What to Do With a Committee
A single cleantech deal often involves an engineer validating specs, a procurement officer running compliance, a sustainability lead chasing ITC or PTC credits, and finance modeling payback. Standard scoring models award points to one contact and call the deal won or lost off that behavior. Scores stay flat on deals that are actually progressing and spike on single-contact noise, so sales stops trusting them.
Attribution Dies Somewhere Around Month Six
Multi-touch models assume a traceable path from click to close inside a quarter or two. When your cycle is tied to a utility RFP calendar or an interconnection queue position, the tooling times out or force-fits the deal into a window it was never built for. Marketing ends up reporting only on top-of-funnel activity, and the board starts asking why pipeline numbers don't match what sales describes.
CRM Data Rot Compounds Faster Across Utility Territories
Duplicate accounts split across service territories, project records that live in engineering tools but never sync to the CRM, and naming conventions that don't match what procurement uses internally – all of it compounds because these deals stay open for so long. Every board deck needs a manual reconciliation pass, and that tax lands on whoever is closest to the data.
We start by auditing the actual stack, not the org-chart version of it – logging into CRM, marketing automation, webinar platform, intent data, and any dashboards finance built in Sheets. For most cleantech and energy clients this turns up two or three systems doing the same job for different teams, plus at least one handoff (usually marketing to sales engineering) still running on manual email forwards.
From there we build a scoring and routing model that reflects how your deals actually get bought – engineer, procurement, finance, and sustainability contacts weighted differently depending on where the deal sits in the procurement or interconnection timeline. We work with your go-to-market strategy team, or ours through /services/strategy/, so the model matches the real motion instead of a generic B2B template.
On execution, we rebuild campaign ops around your real calendar – utility RFP windows, IRA/ITC/PTC filing deadlines, grid modernization budget cycles. The content team (/services/creative/) gets a production calendar tied to actual procurement windows, and the marketing team (/services/marketing/) gets campaign briefs that already account for the compliance review most energy-sector content needs before it ships.
The reporting layer gets rebuilt around a 12-24 month cycle instead of a 90-day attribution model. That means a pipeline view tied to interconnection or procurement stage, not just campaign touches, and a board-ready cadence built through /services/measurement/ that gives your CEO one clean number instead of four conflicting ones.
Most agencies treat marketing ops as a HubSpot admin task. We treat it as a data-integrity problem specific to how energy and cleantech deals move through procurement, engineering validation, and compliance review, and we build the routing logic before we touch the dashboard – a clean dashboard on top of broken routing just reports garbage faster.
By the end of the engagement, marketing and sales are looking at the same numbers, using the same definition of a qualified lead, and your board deck stops needing a manual cleanup pass every quarter.
In cleantech and energy, the marketing ops problem almost never starts with the dashboard – it starts with a scoring model built for a single buyer trying to describe a five-person committee.
We run marketing ops engagements as a 90-day sprint, not an open-ended retainer. Days 1-30 are audit: stack inventory, data flow mapping, and working sessions with sales and sales engineering to document how deals move through committee review, interconnection queues, and compliance sign-off. You get a written diagnosis before we touch a single workflow.
Days 31-60 are build: the scoring model, routing rules, and campaign calendar get implemented and tested against live deals, not hypothetical ones. Days 61-90 are handoff and measurement: the reporting framework goes live, your team gets trained on the new routing logic, and we run one full reporting cycle together before stepping back.
Weeks 1-4: audit and diagnosis, delivered as a written report plus a live walkthrough with your marketing and sales leadership. Weeks 5-8: build phase, implementing the scoring model, routing rules, and campaign calendar directly in your existing stack rather than recommending a rip-and-replace.
Weeks 9-12: measurement and handoff, including a full reporting cycle run alongside your team and a documented playbook for maintaining the system after we leave.
You get a lead strategist who owns the overall model, a marketing ops specialist doing the hands-on CRM and automation work, and a measurement lead building the reporting framework, all in a weekly working session with your internal marketing and sales ops contacts.
Expect a weekly 30-minute sync during the build phase and a written status update every Friday. We surface blockers as they come up instead of saving them for a monthly review, since a stalled data migration can quietly cost two weeks if it sits unaddressed.
If your cleantech marketing org needs its ops layer fixed, we should talk.
If your cleantech & energy company needs marketing operations leadership, we should talk.

Let us take a custom approach to your growth goals by assembling and leading the best-in-class marketing team to support your next stage.
Most engagements run $8K-$15K per month during the 90-day sprint, depending on how many systems are in your stack and how much CRM cleanup is required. Single-CRM setups land toward the lower end; multiple disconnected tools with years of unreconciled data land higher. After the sprint, a lighter maintenance retainer typically costs less than the build phase. We scope pricing after the initial audit, not before.
The core rebuild runs 90 days: 30 for audit, 30 for build, 30 for measurement and handoff, assuming we get CRM and marketing automation access in week one. Delays in IT provisioning or data export approval push that timeline out. Full stabilization, including your team running the new system through one reporting cycle, lands around the 90-day mark. Some multi-year data hygiene issues take longer to fully clean up but don't block the rest of the rebuild.
We embed with whoever owns your CRM and marketing automation today rather than replacing them, running a weekly working session with your marketing ops lead and someone from sales or sales engineering. We build the model with your team and document it rather than keeping the logic locked in our heads. If you don't have a dedicated marketing ops person, we'll flag that gap early – someone on your side needs to own the system after we leave.
A tooling consultant fixes workflows and automations but won't touch whether your scoring model reflects how a utility or engineering committee actually buys. We start with the buying motion – interconnection queues, procurement calendars, multi-stakeholder committees – and build tooling to match it. Most tooling-only fixes get undone within two quarters because the data model was never aligned to the sales cycle. We've built this against energy and cleantech buying patterns specifically, not generic B2B SaaS ones.
We track fewer hours spent on manual reconciliation, faster lead handoff time from marketing to sales engineering, and whether board reporting still needs a cleanup pass before it goes out. Those are operational measures, because the point of this work is a marketing team that trusts its own numbers. We also track how many deals get accurately attributed across the full cycle instead of falling out of the model around month six. We don't promise a specific revenue lift, since that depends on factors outside marketing ops.
This works best for companies at $5M-$100M ARR with an active pipeline of multi-stakeholder deals and at least two or three disconnected systems already in place – there needs to be something to fix. A pre-revenue company still validating its product with a handful of pilot customers usually needs a /services/strategy/ conversation first, not this. Once you're running utility or municipal deals through a real procurement process and your CEO can't get a straight pipeline number from marketing, that's the signal it's time.
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