Green State Data

Agency Marketing Analytics

“How do we stop optimizing on data we can't trust?”

Digital Measurement & Optimization Infrastructure

analytics

▸Audit GA4, 3rd-party pixels, and tracking code so you're optimizing on data you can actually stand behind
▸Identify signal gaps before they skew campaign decisions or undercount conversions
▸Align event definitions and conversion logic across channels so your numbers tell one consistent story

“What does our client's audience actually believe — and are we speaking to that?”

manage_search

▸Build research frameworks that start from the business decision your client actually needs to make — designed for this client, this moment, and what the team needs to walk away with
▸Design and field surveys that surface audience attitudes, purchase intent, brand perception, and where competitors are winning
▸Translate findings into strategy-ready inputs your team can take directly into planning

“What are competitors saying in market right now — and are our clients being outmaneuvered?”

military_tech

▸Continuously capture competitor ad creative, copy, and positioning across LinkedIn, Meta, and Google
▸Surface gaps in share of voice, offer strategy, and creative approach your clients can move into
▸Package findings for direct use in media planning sessions and creative briefs

“How do we stop pulling reports and start spending time on strategy?”

speed

▸Automated dashboards built around the KPIs and reporting logic each client uses to run their business
▸Self-service access configured to how your team and clients think about the business
▸Near real-time visibility across channels so client conversations run on current data, not last week's export

“How do we stop explaining inconsistent numbers and show clients one source of truth?”

storage

▸Automated pipelines that connect media platforms, CRMs, and analytics tools into a single governed source
▸Semantic models that embed business logic directly — so every report, dashboard, and AI output uses the same definitions
▸Automated monitoring that catches data anomalies before they end up in a client deck

“How do we make AI actually understand our specific clients instead of giving generic answers?”

psychology

▸Build the context layer that makes AI understand each client's business specifically — not just marketing in general
▸Structure brand guidelines, historical performance, and audience data in a format AI can draw from reliably
▸Let agency teams ask questions about client data in plain language and get answers worth acting on

“How do we walk into a client review with a clear narrative — not just numbers?”

event_available

▸Channel-by-channel breakdowns with trend analysis your team can walk a client through with confidence
▸Plain-language interpretation of what the numbers mean relative to what was supposed to happen
▸Recommendations ordered by impact so client conversations move toward decisions, not debate

“How do we defend the media budget when the conversation turns to cuts?”

donut_large

▸Quantify the actual contribution of each channel to business outcomes — not just what got last-touch credit
▸Build the evidence that justifies budget allocation before anyone asks you to cut something
▸Model the impact of budget shifts so your team can advise clients on changes before committing spend

“Where should our clients be competing that they're not — and what does the data say?”

location_on

▸Census demographics, competitor density, and trade area data combined into a clear market picture
▸Identify where opportunity is concentrated and where it's being left on the table
▸Outputs built for client presentations, media planning briefs, and site selection decisions

“How do we start using AI in ways that actually change how we work?”

school

▸Hands-on sessions covering what AI is, how it works, and where it fits into real work — starting from wherever you are
▸Practical tools for job seekers, business owners, and anyone building AI into their day-to-day
▸Three standalone classes — attend one or all, in any order