Revenue
engineered
from the data up.
Marketing isn't a guessing game when it's built on real data. d2b2 applies data science thinking to paid growth and revenue operations. We build the systems, analyze the signals, and hand you the keys when the work is done.
What d2b2 does
Paid Marketing Setup & Optimization
Full-funnel paid search and social built on real attribution data, not platform numbers. Account builds, campaign architecture, bidding strategy, and proactive optimization driven by what's actually converting.
Revenue Analytics & Reporting
SQL-driven analysis and custom reporting that give executives a clear view of what drives revenue and what wastes budget. Clean data and honest answers, not seasonal guesses.
Marketing Infrastructure
Tracking implementation, CRM workflows, AI tool setup, and automation pipelines that connect your stack and reduce manual overhead. Built to scale, documented so your team can run it without coming back.
SEO & Answer Engine Optimization
Content strategy and optimization built for how people actually find answers, including AI search engines. Organic visibility that compounds long after the engagement ends.
How every engagement works
The Audit
Before building anything, understand what exists. What's working, what's wasting budget, and where the data is broken. Every engagement starts with a structured review of your stack, spend, and reporting so nothing gets rebuilt that didn't need to be.
The Stack Build
Tracking, attribution, AI tools, and automation built right the first time. Infrastructure that doesn't break six months later, paid campaigns grounded in verified data, and systems documented as they're built.
The Handoff
Everything built gets documented. You leave knowing how it works, how to manage it, and how to extend it. The goal isn't a retainer. It's a business that runs its own marketing stack after the engagement ends.
Most marketing decisions still happen on gut feel and monthly reports that arrive too late to act on. Danny takes a different approach, applying data science thinking to paid growth and revenue operations: reproducible systems, clean attribution, and analysis that gives executives clear answers instead of seasonal guesses.
Every engagement follows the same model. Audit what exists, build what's missing, teach your team how it works, and hand over the keys. The goal isn't a long retainer. It's a business that can run its own marketing stack after the work is done.
The name is a play on the work: D. Byers, databases, data-driven B2B. The focus is on companies where marketing has been reactive and underpowered. The opportunity is making it precise.
We don't sit on our hands. We actively look for solutions. That's the whole job.
No overengineered solutions. Clean processes, clear documentation, and nothing built that creates another problem to solve.
- Managed and optimized $1M+ in Google Ads and Meta spend against true revenue attribution, not platform-reported ROAS
- Designed GTM and GA4 cross-domain tracking architectures connecting multiple web properties into a single clean data stream
- Built PMAX campaign structures with custom asset groups and bid optimization grounded in Ad Rank signal analysis
- Developed AEO content pipelines targeting AI search engines including Perplexity, ChatGPT, and Google SGE
- Built HubSpot CRM workflows, lead scoring, and automation that eliminate manual handoffs between marketing and sales
- SQL and Tableau analysis surfacing revenue patterns across ad platforms, CRM, and web analytics for executive reporting
- Google Ads
- Meta Ads
- SQL & Data Analysis
- GA4 / GTM
- HubSpot
- Revenue Operations
- AI Tool Setup
- Process Automation
- AEO / GEO
- Marketing Automation
- Tableau
Latest thinking
SQL for Marketers: Five Queries Every Growth Team Should Know
SQL lets marketers get answers from their data without waiting on an analyst. Here are five practical queries that answer the questions marketing teams ask most.
What Is Revenue Operations (RevOps) and Does Your Business Need It?
RevOps aligns marketing, sales, and customer success around shared data and processes. Here's what it actually means in practice and whether it applies to your business.
GA4 Setup for Small Business: The Minimum Viable Configuration
GA4 has a lot of features. Most small businesses need about 20% of them. Here's what to configure first to get reliable data without over-engineering your analytics.