Construction tech deals close 9 to 18 months after the initial vendor conversation, yet most reporting stacks still assume a 30-day SaaS sales cycle. That mismatch is why marketing gets blamed for pipeline it actually created. We rebuild attribution and reporting around how GCs, PMs, and estimators really buy, then connect it to the CRM and Procore or Autodesk data your revenue team already uses.
The Challenge
Attribution fails across long procurement cycles
A buying committee touches your content, a trade show booth, and three vendor calls before an RFP is even drafted. First-touch and last-touch models throw away everything in between. By the time a deal closes, nobody can explain which campaign actually moved it, so marketing spend looks arbitrary to anyone reviewing it after the fact.
Field and job-site activity never makes it into the CRM
Your best signal isn't a form fill – it's a superintendent asking a rep about your platform on a job-site walkthrough, or a regional sales lead working a trade show floor for three days straight. None of that gets logged the way a demo request does, so half your pipeline shows up in the CRM with no source, no campaign, and no explanation.
Product usage data remains outside the CRM
Your platform might integrate with Procore or the Autodesk Construction Cloud, but usage and expansion signals from those ecosystems rarely make it back into HubSpot or Salesforce. Marketing can't see which accounts are activating, which are stalling, or which are ripe for an upsell push, so campaigns get planned on guesswork instead of behavior.
Boards expect revenue tie-back, not activity totals
A conservative construction tech board doesn't care about MQLs or click-through rates. They want to know how many dollars of pipeline marketing sourced or influenced this quarter, and marketing budgets get cut first when nobody can answer that in plain terms. Without a reporting model built for multi-stakeholder, long-cycle deals, marketing walks into every board meeting on the defensive.
How We Support You
We begin with an audit, not by building a dashboard. Before reporting anything, we map each stage an actual construction tech deal moves through: first exposure, buying-committee research, RFP, pilot, procurement sign-off. Next, we identify where your current CRM, marketing automation, and product data already capture those stages – and where visibility disappears.
Most construction tech marketing teams we review lack three things: a multi-touch attribution model suited to a 9-to-18-month cycle, a reliable data bridge between the CRM and the Procore or Autodesk ecosystem where your product operates, and a method for capturing field and job-site activity that never reaches a web form. We build all three in that sequence, because attribution without clean source data is only a story.
This is fractional work rather than an agency retainer. You work with a senior operator who has built revenue reporting for B2B companies selling into slow, committee-driven markets, embedded alongside your RevOps and sales leadership throughout the engagement. There are no account managers passing decisions to a strategist you never meet. You speak directly with the person doing the work.
Execution begins with instrumentation: campaign UTMs aligned to procurement stages, a lead-source taxonomy separating trade show, referral, outbound, and inbound, plus a field-activity capture workflow reps will actually follow because it takes seconds, not a form. We then connect the CRM with product usage data wherever an API or export exists, giving marketing visibility into account-level engagement instead of only lead-level engagement.
Measurement comes last and is designed for its audience, not marketing's own reassurance. Your board dashboard presents pipeline sourced and influenced by stage, win rates by buying-committee role, and cycle-time trends – the figures a CFO or construction-industry board member will actually review. Your internal marketing dashboard goes deeper: channel performance, content engagement by procurement stage, and campaign-level cost per opportunity.
We don't deliver the work and vanish. Reporting against a 12-month sales cycle requires a complete cycle of real deals before you can confirm it's accurate. We remain through at least one attribution cycle, refining the model as actual pipeline validates or challenges our initial assumptions.
The result: marketing enters a board meeting with a number that withstands scrutiny, while sales no longer treats marketing pipeline as CRM noise.
What we deliver
- Multi-touch attribution model mapped to construction tech procurement stages
- CRM data bridge to Procore or Autodesk Construction Cloud usage signals
- Field and job-site activity capture workflow for regional sales reps
- Board-ready revenue and pipeline dashboard
- Internal marketing performance dashboard by channel and buying-committee role
- Lead-source taxonomy covering trade show, referral, outbound, and inbound
If your attribution model can't withstand an 18-month sales cycle, it isn't measuring your business—it's measuring someone else's.
Our Methodology
We deliver this as a 90-day sprint, not an indefinite retainer. The first 30 days focus completely on audit and instrumentation: we catalog every data source that touches a deal, from the CRM and marketing automation platform to any Procore or Autodesk integration your product team has already created, then pinpoint exactly where the trail disappears.
Days 31 to 60 focus on execution. We create the attribution model, connect the data bridges, and launch the field-activity capture workflow. During this phase, we also train your RevOps and sales team on the new logging practices – a reporting system succeeds only when the people producing the data use it, so adoption is built into the work rather than treated as an afterthought.
The last 30 days cover validation and handoff. We put real pipeline through the new model, adjust for anything revealed by the first live deals, and deliver both dashboards – board-facing and internal – along with documentation your team can manage without us. Whether your board meets monthly or quarterly, we schedule the handoff so your next board deck is the first built on numbers that stand up.
Our Working Process
The opening 30 days cover discovery and diagnosis. We work with your CRM administrator, your RevOps lead if you have one, and the person currently responsible for board reporting, tracing ten to fifteen closed-won deals backward across every system they encountered. This reveals more about where your data fails than any dashboard audit can.
Days 30 to 60 are dedicated to the build. You work with a single senior operator, not a rotating group of juniors assigned to your account. We connect directly to your current stack – HubSpot, Salesforce, Procore, Autodesk Construction Cloud, or whatever combination you use – instead of requiring new tools. Weekly working sessions keep RevOps and sales leadership involved while the model takes shape.
From days 60 to 90, the focus moves to validating against live pipeline and handing off reporting. You receive dashboards created for two separate audiences: the board, which needs revenue tie-back explained plainly, and your internal marketing team, which requires channel- and content-level detail to plan the following quarter.
Following the sprint, most clients retain us on a lighter monthly schedule to maintain the model as procurement patterns evolve – construction tech buying committees change composition when companies grow from regional to national accounts, and reporting must reflect that.
- Attribution that holds up across multi-stakeholder, multi-month buying cycles
- A board reporting cadence built on revenue tie-back instead of activity metrics
- A unified data model connecting CRM, marketing automation, and Procore/Autodesk usage signals
- Faster diagnosis of where pipeline stalls between first touch and procurement sign-off
- Field and job-site sales activity that's finally visible in the CRM
If your construction tech company needs data, reporting & analytics leadership, we should talk.
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Frequently asked questions
What does an engagement like this usually cost?
Most construction tech data and reporting sprints cost $15K-$35K for the 90-day build, based on the number of systems requiring integration and how clean your CRM data already is. Companies that already have a product-side Procore or Autodesk integration generally fall toward the lower end because we're connecting existing data rather than creating new pipes. We define the scope on a call before providing a quote.
When will we have a usable dashboard?
By day 45, you'll have a working draft of the board dashboard using whatever historical CRM data is available, even before the new instrumentation is live. The version delivered at day 90 is validated against actual deals progressing through the new attribution model – and that's the version worth sharing with your board.
Will we need an internal hire to maintain this after the sprint?
No. We design the dashboards and data model to operate within your current CRM and marketing automation platform, with documentation that your existing RevOps or marketing ops person can manage. Many clients retain us on a lighter monthly basis rather than hiring because procurement patterns and integrations evolve as they scale, requiring periodic model adjustments.
How does this differ from purchasing a BI tool or hiring an analytics agency?
A BI tool displays the data you give it – it won't solve an attribution model that fails to reflect a 12-month sales cycle or field activity that never enters your CRM. A generalist analytics agency may create a dashboard without recognizing that a superintendent's job-site question and a demo request are both genuine pipeline signals. We first repair the underlying data model, specifically around how construction tech companies sell.
How do you evaluate ROI for the reporting engagement itself?
We measure two outcomes: whether the board dashboard holds up under scrutiny in a real board meeting without marketing needing to qualify the numbers, and whether sales leadership begins trusting marketing-sourced pipeline in the CRM rather than manually re-attributing deals. Both become apparent within the first complete board or QBR cycle following handoff.
What company size and stage are the best fit?
Our best fit is Series A through growth-stage construction tech companies with $5M-$100M in ARR, typically once marketing has grown beyond the point where the founder or CEO can explain pipeline attribution from memory. If you're pre-revenue or continue to sell solely through founder relationships, this engagement is too early – return when you have a real CRM and a board asking difficult questions.
