Most businesses are invisible in AI search without knowing it. We diagnose whether AI can find you, trust you, and recommend you — then build the program to fix it.
Senior analytics experience across Fortune 50 technology, global financial services, and America's most recognized consumer brands.
Waypoint measures three things: whether AI can find your business in category searches (Discover), whether it trusts the sources that mention you (Verify), and whether it can answer the questions buyers ask before making a decision (Recommend). The result is a diagnosis — and a clear path to fix it.
These are the measurement gaps that show up in boardrooms, budget reviews, and Monday morning standups. They're solvable — with the right framework and someone who's solved them before.
The Audit tells you what's true. The Build fixes it. The Fractional Director makes it last. Most clients start with the Audit — because you can't build what you haven't diagnosed.
A focused 6-week diagnostic across your measurement infrastructure. You leave with a written findings report, gap analysis, 90-day roadmap, and an executive deck — everything you need to know what to fix and in what order.
The roadmap gets built. KPI architecture, attribution modeling, data infrastructure, dashboard delivery, CRM and marketing automation integration. Built to last — not patched together.
Embedded analytics leadership on retainer. Strategy, technology decisions, team development — senior judgment, available when you need it, without the full-time overhead.
Can AI discover your business? Can it verify you're trustworthy? Can it recommend you with confidence? From there, the engagement is scoped to what actually needs to change.
Waypoint measures how ChatGPT, Claude, and Perplexity see your brand — across real buyer queries, two engines, three dimensions. The output is a written audit with a sequenced playbook. Expert-interpreted findings you can act on immediately.
End-to-end KPI frameworks, attribution modeling, and reporting architecture that connects every marketing dollar to a business outcome.
Account-based measurement, territory and pipeline influence reporting, lead scoring algorithm design, and ABM platform evaluation including DemandBase and 6Sense.
CDP selection, data layer design, tagging governance, and pipeline architecture that makes clean, trusted data the default — not the exception.
Power BI, Domo, and GA4 implementations with CMO-ready storytelling — including AI program performance dashboards that translate agent activity into board-level decisions.
Senior analytics leadership on retainer. Strategy ownership, technology guidance, team development — embedded in your organization, scoped to what you need.
Pricing is scoped to the engagement — not fixed to a rate card. Every conversation starts with understanding the problem. Numbers follow from there. What's shown here is where engagements typically begin.
Three global regions. Four disconnected marketing platforms. Zero shared definition of what a conversion even meant. The CMO was walking into board meetings with numbers that marketing, finance, and sales all disputed — because each team was pulling from a different system with a different methodology. The fix required more than technology. It required building a single measurement architecture that every region agreed to operate within — standardized UTM taxonomy, unified event tracking, and an integrated data pipeline connecting GA4, Marketo, Google Marketing Platform, and Cvent for the first time. When it was done, the CMO had one number. Everyone trusted it.
A Fortune 50 technology company was spending over $1 billion annually on marketing across 40+ global markets with no consistent way to measure whether any of it was working. Different markets used different metrics. Different agencies reported different numbers. Leadership had no reliable view of global performance — and no framework to connect spend to outcomes. Starting with a small embedded team, built a full-service global analytics practice from the ground up — establishing standardized KPIs, a global data taxonomy, a unified performance reporting system, and an audience strategy integrated into planning and buying platforms. The organization went from arguing about data to making decisions with it.
Sales wasn't following up on marketing leads — not because they were lazy, but because the leads weren't trustworthy. Marketing was passing anything that filled out a form. Sales had learned to ignore the queue. The underlying problem was structural: there was no shared definition of what a qualified lead actually meant, no behavioral scoring logic, and no integration between what people did on the website and how they were being prioritized in the CRM. Designed a lead scoring algorithm from scratch — combining GA4 behavioral signals with Marketo engagement data — and defined, for the first time, exactly what constituted an MQL versus an SQL. Implemented in production. Sales started working the leads.
The ABM program existed on paper. Budget was allocated. Campaigns were running. But when leadership asked whether it was working, nobody could answer. There was no account-level reporting, no territory performance view, no way to connect marketing activity to pipeline movement. The measurement infrastructure simply didn't exist. Built it from scratch — account and territory-level performance reporting, pipeline influence attribution, and intent signal integration. Also led the formal evaluation of DemandBase and 6Sense, assessing platform fit, integration requirements, and projected ROI to inform what would become a major technology investment decision.
Consumer brands don't have the luxury of long sales cycles or clean CRM data. They have millions of touchpoints, fragmented media, and boards demanding proof that the marketing budget is working. Across engagements with several of America's most recognized consumer brands, the work spanned the full spectrum of B2C measurement challenges — building multi-touch attribution models using VisualIQ to connect media investment to sales, developing Marketing Mix Models that gave leadership a statistically defensible view of channel contribution to revenue, driving media optimization across complex multi-brand portfolios, and building competitive intelligence dashboard systems that turned reactive monitoring into a strategic advantage.
Open Road Analytics helps B2B and B2C organizations understand whether AI can discover, verify, and recommend their business — and builds the measurement systems that connect marketing to revenue. Based in the NY metro area, serving NY, NJ & CT and nationwide remote. Engagements start at $25,000.
Waypoint is the starting point, not the engagement. The free Waypoint scan gives you a Visibility Read — a directional estimate of whether AI engines surface, trust, and recommend your business versus a competitor. The paid Waypoint Audit verifies that read against real evidence (your review platforms, directories, and press) and adds analyst interpretation. Both are diagnostics. They reveal the problem; the consulting engagement is what solves it. Most clients run the scan first, then decide how far they want to go.
There is a deliberate path. Run the free Waypoint scan to see your Visibility Read. If the gaps warrant a closer look, the full Waypoint Audit gives you analyst-verified scores, verbatim AI responses, and a prioritized action plan. From there, if the broader measurement picture needs work — attribution, data infrastructure, reporting — that becomes a scoped engagement. You are never asked to commit to a $25,000 audit before you understand what the problem actually is.
A Marketing Analytics Audit starts from $25,000 — fixed fee, no hourly billing, typically a 6-week engagement. It covers measurement architecture, attribution, data infrastructure, reporting, technology stack, team and process, and AI/AEO readiness. Deliverables include a written findings report, gap analysis, 90-day roadmap, tech stack recommendations, and a CMO-ready presentation. The Build and Fractional Analytics Director phases are scoped separately. Every engagement is priced to the specific problem — the investment conversation happens after we understand what needs solving.
A fractional analytics director provides senior analytics leadership on a retainer — without the cost of a full-time hire. They embed into the organization reporting to the CMO, owning measurement strategy, attribution, reporting, technology decisions, and team development. It is the right fit for organizations that need executive-level analytics judgment ongoing, but do not need or cannot justify a full-time head of analytics.
Through the Waypoint methodology: real buyer queries are run against multiple AI engines, and the responses are scored across three dimensions — Discover (can AI find you in category searches), Verify (do independent sources validate you), and Recommend (can AI confidently answer questions about you). The audit then connects those gaps to the underlying causes — review volume, directory presence, structured content — and to the business impact. Most organizations have no baseline for how AI represents them. That baseline is where the work begins.
Both. Open Road Analytics has deep experience serving major B2C consumer brands across attribution modeling, marketing mix modeling, media optimization, and competitive intelligence — as well as B2B organizations including global financial services and Fortune 50 technology companies. That breadth across both disciplines is a genuine differentiator; most analytics consultants specialize in one or the other.
Open Road Analytics is based in the New York metro area and serves organizations across New York, New Jersey, and Connecticut in person — and is available nationwide for remote engagements. Most client work is a blend of both: discovery and key working sessions on-site, ongoing execution and reporting delivered remotely. Geography has never been a barrier to an engagement that's the right fit.
Run the free Waypoint scan and find out whether AI can discover, verify, and recommend your business. Or reach out directly — the first conversation is about your situation, not a pitch. No pitch. Just an honest discussion about what's broken.
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