Learn the Engineering
That's Driving
Modern Marketing

Ranking algorithms. LLMs. Recommendation engines. The systems that shape what people see—explained by someone who's built them and marketed with them.

All 100% Free.

From Ben Wills
Writing HTML since 1994
Writing Software since 1998
SEO, PPC, & Online Marketing since 2001

Recent Posts

Commentary, training, Q&A, and technical breakdowns for marketing engineers.

Apr 7, 2026
Quantization Explained: The Speed vs Precision Tradeoff in Vector Search Quantization in vector search is a practical tradeoff between speed and precision, similar to reducing the color depth of an image. Lower precision can dramatically improve performance and reduce memory usage, but too much reduction can harm result quality. The right choice depends on workload needs, dataset size, and whether latency or accuracy matters more.
Training Vector Embeddings Quantization RAG Retrieval Augmented Generation Search Engines Text Embeddings Vector Embeddings Vector Search
  • Quantization is lossy compression for vectors: you gain speed and efficiency by giving up some detail.
  • It makes the most sense for real-time or large-scale systems where latency and memory pressure matter.
  • You should usually keep full-precision vectors and use quantized versions selectively for performance-sensitive tasks.
Advanced
Apr 1, 2026
Free Common Crawl WebGraph API (March 2026) is Now Live The free Common Crawl WebGraph API (March 2026) from CustomDatasets.com is now live, along with new GitHub repositories to help developers get started quickly. The dataset now includes hundreds of millions of domains and billions of hosts, with both free API access and optional downloadable databases. The API remains fully open with no registration required, making it easy to explore and build against immediately.
News Marketing Tools Backlinks Common Crawl CustomDatasets Link Data WebGraph
  • March 2026 link graph data added and hostname history expanded to cover January 2020 → present (domain history: 2017 → present)
  • New free GitHub repo with API client examples (Go, PHP, Python, C, Bash/curl)
  • New database server + client implementations available for full dataset users (Go, PHP, Python)
Intermediate
Mar 31, 2026
AI SEO is Wrong About Traditional SEO and Links AI hasn’t replaced the fundamentals of search; it has increased the importance of understanding them. Behind every LLM interface are ranking systems that still depend on authority signals, trust evaluation, and quality filtering. Marketers who continue investing in information retrieval fundamentals will be better positioned than those chasing shallow AI shortcuts.
Commentary AI SEO AI SEO Link Building SEO Vector Search
  • AI search still depends on classic information retrieval signals like links, authority, and spam detection.
  • Vector search solves similarity, but not trust, credibility, or ranking quality.
  • Marketers abandoning SEO fundamentals risk falling behind as AI systems mature.
Intermediate 5m54s
Mar 30, 2026
The Rise of the Marketing Engineer AI and LLMs make it easy to build things fast, but maintaining them is where most teams struggle. In this post, I explain why marketing teams will need a marketing engineer to manage systems, automation, and data as complexity grows. I also introduce MarketingEngineer.io, where I share lessons to help marketers build these skills.
Commentary Marketing Engineering Marketing Engineer Role Marketing Engineering SEO
  • AI makes it easy to build things, but hard to maintain them.
  • Marketing teams risk technical debt without engineering skills.
  • A marketing engineer helps teams scale without breaking systems.
Beginner 6m40s

Marketers Who Build Things

If you've ever written a script, hit an API, or wished you understood the systems behind your marketing tools—this is for you.

Technical Marketers

Primary audience

You already do some engineering work on your marketing team—scripts, automations, data pipelines. You want to go deeper and do it better.

  • Writing scripts and building tools for your team
  • Managing APIs, tag implementations, or data feeds
  • Want structured knowledge, not just Stack Overflow answers

Marketers Moving Into Engineering

Primary audience

You see the value of engineering skills and want to take on more technical responsibilities within your marketing role.

  • Ready to move beyond surface-level platform knowledge
  • Want to understand how marketing systems actually work
  • Building credibility with engineering teams

Performance & Growth Marketers

Primary audience

You work across SEO, PPC, analytics, or growth—and you want to understand the algorithms and infrastructure behind the platforms you use every day.

  • Tired of treating platforms as black boxes
  • Need to make better technical decisions
  • Want to communicate more effectively with engineers

Marketing Technologists

Secondary audience

You bridge marketing and technology already. Deepen your engineering fundamentals with content designed for your perspective.

  • Already somewhat technical
  • Want formal engineering understanding
  • Looking for a resource that speaks your language

Deep-Dive Series.
Coming Soon.

In-depth, structured series covering core engineering topics for marketers. New series releasing over the coming weeks.

01 Coming Soon

Data Structures & Algorithms

  • Object-Oriented Programming
  • Hash Tables & Functions
  • Trees
  • Skip Lists
  • Performance & Complexity
02 Coming Soon

Databases

  • Key-Value Storage
  • Relational Databases
  • Columnar Databases
  • Inverted Indexes
  • Performance Tuning
03 Coming Soon

Information Retrieval

  • Document Processing
  • Tokenization & Stemming
  • TF-IDF & BM25
  • Query Processing
  • Relevance & Ranking
04 Coming Soon

Search Engines

  • Crawling & Indexing
  • Link Analysis & PageRank
  • Query Understanding
  • Ranking Signals
  • Search Quality
05 Coming Soon

Machine Learning

  • Linear Models
  • Gradient Descent
  • Classification & Regression
  • Neural Networks
  • Feature Engineering
06 Coming Soon

Large Language Models

  • Word Embeddings
  • Attention & Transformers
  • Training & Fine-Tuning
  • Prompt Engineering
  • LLMs in Marketing

A Central Resource for Marketing Engineers

Engineering knowledge from a marketer's perspective—not a developer's.

Weekly Commentary & News

Stay current on the technical changes shaping marketing—algorithm updates, platform shifts, and emerging systems—explained with engineering depth.

Q&A and Community Input

Get answers to technical marketing questions. Real problems from real marketers, addressed with engineering rigor.

Beginner to Intermediate Training

Structured episodes covering data structures, databases, search engines, machine learning, and LLMs—built for marketers, not CS students.

Thorough Episode Resources

Every episode includes video, a full transcript, and curated resources so you can keep learning beyond the episode itself.

Engineering Intuition, Not Tutorials

Understand how systems work and why they matter to your marketing—without needing to write production code.

Cross-Channel Perspective

Not just SEO. Covers PPC, social, analytics, content systems, and the infrastructure that connects them all.

About Ben Wills

Most marketers don't understand systems. Most engineers don't understand marketing. I've spent my career in both.

12+ Years in Each World

I've built search engines and I've optimized for them. I've written ranking algorithms and I've tried to beat them. I've architected data infrastructure and I've analyzed the data that flows through it.

That dual perspective is rare. It's also exactly what's needed to explain engineering concepts in ways that actually make sense to marketers—without dumbing it down or losing the important details.

Why This Exists

Technical content is either too engineering-focused (assumes you already know the context) or too marketing-focused (treats everything as a black box). Nothing speaks to the growing number of people who need to understand both.

This site fills that gap. Engineering fundamentals, explained with the intuition and context that marketers need. No tutorials. No fluff. Just how these systems actually work.

Technical Background

  • Software Engineering
  • Distributed Systems
  • Search Engine Architecture
  • Data Infrastructure
  • Machine Learning Systems

Marketing Background

  • SEO Strategy & Execution
  • Digital Marketing Leadership
  • Performance Marketing
  • Marketing Analytics
  • Growth Strategy

Common Questions

Do I need coding experience?

No. This is about 90% engineering concepts and 10% marketing context—not writing production code. You'll understand how systems work without needing to build them yourself.

Is this just about SEO?

No. While search engines are covered, the content spans PPC auction systems, machine learning, databases, LLMs, analytics infrastructure, and more. If a marketing platform runs on engineering, it's fair game.

What kind of content do you publish?

A mix of weekly episodes, commentary on current marketing technology news, Q&A from the community, and structured deep-dive series. Each episode includes video, a full transcript, and additional resources.

Is this free?

Yes. All content is 100% free. The goal is to build a trusted resource for marketers who want real engineering understanding—not to sell courses or certifications.

How is this different from other marketing education?

Most marketing content focuses on tactics and tools. Engineering content assumes you're a developer. This covers the engineering behind marketing platforms from a marketer's perspective—with real depth, not dumbed-down analogies.

Who is behind this?

Ben Wills—someone who's spent 12+ years in software engineering and 12+ years in marketing. He's built search engines and optimized for them, written ranking algorithms and tried to beat them.

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