
Your sales cycle spans 4 to 9 months across trade shows, outbound, content, and paid, with four or five stakeholders involved in every deal. Last-click attribution and a spreadsheet patched together each Friday can't show you what truly worked. We build the reporting stack that reveals, in real numbers, what's generating pipeline.
Last-click attribution obscures where deals really begin
A construction inspection buyer hears about you at a trade show, reads three case studies over four months, then finally requests a demo through organic search. Last-click tools credit the keyword and erase everything before it, so budget shifts toward whatever converted last, and the channels doing the real work of opening pipeline get starved.
Trade show and field data never reaches the CRM
Drone tech deals get made at AUVSI, energy inspection conferences, and mining shows, where a rep collects demo signups on a tablet app that doesn't sync anywhere. That data sits in an inbox for weeks before it's manually keyed into HubSpot, if it makes it in at all. By then the lead has cooled and marketing can't prove the show paid for itself.
Buying committees undermine single-contact attribution
A drone inspection deal in energy or utilities needs sign-off from ops, procurement, safety/compliance, and IT. Most CRMs track one contact per deal, so touches from the other three stakeholders never get counted. Marketing looks like it under-delivered on a deal it actually built from four directions.
Pilot-to-enterprise conversion lacks a funnel stage
Drone tech sales rarely jump straight to an enterprise contract. A prospect runs a paid pilot, then expansion takes two or three more quarters of internal advocacy before procurement approves full rollout. Most reporting tracks closed-won as one event and loses the pilot stage entirely, so nobody can see conversion rate or which touches move accounts toward expansion.
We begin with an assessment, not a sales pitch. During the first two weeks, we pull data from your CRM, ad platforms, trade show lead lists, and whatever spreadsheet currently passes as a dashboard, then map every touchpoint a drone tech buyer actually has with your company. We aren't selling you a new martech stack in month one; we're identifying what's broken in the stack you already use.
Next, we build a strategy around how drone tech deals truly progress: a multi-touch attribution model that gives credit to trade shows, outbound, content, and paid throughout the full sales cycle rather than reducing everything to last click, plus a buying-committee map (ops, procurement, safety/compliance, IT) that ensures every stakeholder's touches count. This work runs alongside our [growth strategy](/services/strategy/) engagements when reporting must be rebuilt as part of a wider go-to-market reset.
Execution is where many agencies deliver a slide deck and vanish. Embedded within your team, we build the CRM fields, trade show intake process, and dashboards ourselves. If your ops team is buried in manual data entry after each conference, we repair that workflow before touching a single dashboard.
Measurement is what changes decisions. We create dashboards your CEO or VP Marketing can open for a clear answer on cost per pipeline dollar by channel, connecting them to the wider [performance measurement](/services/measurement/) work so attribution doesn't become outdated once we leave.
Because we work as fractional, embedded operators, the person creating your attribution model joins your pipeline reviews every week. We operate the [marketing](/services/marketing/) function's data layer as though we worked there, ensuring dashboards are used rather than ignored.
If your attribution model misses the trade show badge scan from five months before the contract, it isn't measuring your pipeline; it's measuring whichever channel happened to be close by when the deal closed.
Our engagement is structured as a 90-day sprint across three phases, rather than a 12-month retainer without a defined end point. Days 1-30 cover audit and architecture: catalog every data source, align on what qualifies as a marketing-influenced touch in a multi-stakeholder deal, and build the model around your real sales cycle length instead of a standard 30-day lookback window. Days 31-60 focus on the build: CRM fields, trade show intake, dashboard creation, and a QA pass on historical data.
Days 61-90 cover validation and handoff. We operate the new dashboards in parallel with your current reporting, reconcile any gaps, and train the person responsible for data on your team to manage it without us. What we build belongs to you, rather than being a black box that forces you to pay us monthly forever for interpretation.
It's designed for long, multi-stakeholder B2B sales cycles like those in drone tech, not a DTC attribution playbook trying to withstand a procurement-gated enterprise deal. From day one, the model incorporates pilots, expansions, and safety/compliance sign-off chains.
During the first 30 days, expect weekly working sessions with your marketing and sales ops leads, along with a kickoff audit that pinpoints where current reporting fails and why leadership's figures don't match what sales actually closed. By day 60, the attribution model and dashboards are running in staging alongside your old reporting, and we're already identifying discrepancies between them.
By day 90, the new system becomes the system of record, your team has ownership, and we deliver a runbook with a monthly cadence for reviewing the model as your sales cycle evolves. The team is intentionally lean: one senior operator embedded with your marketing lead, rather than a five-person agency pod charging hours you can't trace. Expect zero black-box dashboards and no metric that can't be tracked to a CRM record.
If your drone tech company needs data, reporting & analytics 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 drone tech engagements cost $8K-$18K per month for a fractional embedded analytics lead, based on the number of data sources requiring integration and how much CRM rebuilding must happen first. Companies using one clean CRM fall at the lower end; those combining three tools and a spreadsheet start higher. We define the scope during the first assessment call, giving you a real number before you sign anything.
You'll get a working staging dashboard by day 60 of the 90-day sprint. It will run alongside your existing reporting so you can compare the two before changing over. Full handoff, including training your team to operate it independently, is complete by day 90.
We join your existing team as a fractional operator, rather than acting as an external vendor that sends monthly slide decks. We participate in your regular marketing and pipeline reviews, work directly within your CRM, and report to the person who owns marketing. If a marketing ops hire is already in place, we collaborate with them and transfer ownership by the sprint's end.
Agencies often provide a dashboard, then charge a monthly retainer to continue interpreting it for you. We create the system, teach your team how to operate it, and leave after 90 days unless you'd like us to handle the next sprint. Our attribution models address the specific challenges drone tech companies face: long sales cycles, multi-stakeholder buying committees, and a pilot-to-enterprise journey that most off-the-shelf tools weren't designed to follow.
We assess it in two ways: whether the dashboard influences an actual budget or headcount decision during the first two quarters, and whether the difference between marketing-reported and sales-confirmed pipeline narrows. If your team continues making identical channel decisions once the dashboard is live, the reporting isn't working yet – and fixing that is our responsibility.
This is best suited to companies at Series A and beyond, when there is enough deal volume, typically 15-plus opportunities per quarter, to give an attribution model meaningful signal. Earlier-stage companies running only a handful of pilots are generally better served by our [strategy](/services/strategy/) work first, then can return when pipeline volume supports a dedicated measurement layer.
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