Back to Blog
Robin Tully

Author

Robin Tully

Co-Founder

Robin Tully is the Co-Founder of Forecast.ing, a content marketing research platform that increases brand visibility and organic traffic.

He specializes in data science and machine learning, with experience building analytical systems that turn large, messy datasets into decisions. Before Forecast.ing, he served as Director of Data and Analytics for Andrew Yang's presidential campaign, where he managed a team of 13 analysts, engineers, and data scientists. His work in fundraising analysis and audience targeting contributed to over $40M in donations and helped the campaign reach 3% national support.

Earlier, Robin was a Senior Data Scientist at Excella, where he built machine learning architecture for U.S. Citizenship and Immigration Services using neural networks, NLP, and ensemble methods. The USCIS Civics Test Study Tools he helped develop won the Director's Golden Door Award.

He was also the technical lead of the winning entry in the Colorado River Basin Data Visualization Challenge, working with 3.3 million rows of water resource data.


Articles by Robin Tully

19 articles

Featured image for "Can You Explain How Long-Tail Keywords Can Benefit My SEO Strategy?" with table of contents

Keyword Research Techniques

5 Min

How Long-Tail Keywords Benefit Your SEO Strategy

The standard benefits plus what most guides skip: how long-tail keywords compound, when they fail, and the AI shift.

Featured image for "Are There Any Tools Available That Can Help Analyze Keyword Intent and Performance?" with table of contents

Keyword Research Techniques

3 Min

Top Tools for Analyzing Keyword Intent & Performance

Discover effective tools to analyze keyword intent and performance for better SEO strategies.

Featured image for "How to Find Good Long-Tail Keywords?" with table of contents

Keyword Research Techniques

5 Min

How to Find Long-Tail Keywords and Choose the Right Ones

Discovery methods most guides cover, plus a prioritization framework for choosing which long-tail keywords to target.

Featured image for "When Should You Target Low Search Volume Keywords?" with table of contents

Keyword Research Techniques

5 Min

When to Target Low Search Volume Keywords

A decision framework for low search volume keywords: when to target them, when to skip, and how to validate.

Featured image for "How Often Should I Revisit and Update My Keyword Strategy?" with table of contents

Keyword Research Techniques

5 Min

How Often Should You Update Your Keyword Strategy?

Not on a calendar. The triggers that tell you when to update, and what updating actually means in a topic-first model.

Featured image for "Long-Tail Keyword Strategy" with table of contents

Keyword Research Techniques

8 Min

Long-Tail Keyword Strategy: A Framework for Content Teams

How long-tail keywords work as a content architecture strategy, not just a selection tactic, in the AI era.

Featured image for "What Are Low Volume Keywords?" with table of contents

Keyword Research Techniques

5 Min

Low Search Volume Keywords: What They Are and Why They Work

Learn what low search volume keywords are, how they differ from high-volume terms, and where to find them.

Featured image for "Keyword Research Techniques" with table of contents

Keyword Research Techniques

11 Min

Keyword Research Techniques for Semantic and AI Search

The five keyword research techniques that work after the semantic shift, and how to connect them into a content strategy.

Featured image for "Is Keyword Research Still Important?" with table of contents

Keyword Research Techniques

5 Min

Is Keyword Research Still Important in the AI Era?

What has changed about keyword research, what has not, and why the process matters more now than the keywords.

123
logo

Forecast.ing is the content marketing research platform that helps teams map the conversation and own the answers.

Stay Updated with Content Marketing Research

No spam, just useful updates.

© 2026 Forecast.ing, Inc. All rights reserved.