behind-the-cmo/behind-the-cmo-newsletter

Dataset Card for Behind the CMO

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

Dataset Details

Dataset Description

Behind the CMO is a curated newsletter dataset featuring commentary, insights, and market perspectives from top Chief Marketing Officers and marketing strategists. The newsletter focuses on real-world strategy, leadership decisions, demand generation trends, and modern martech tools, compiled and edited by experienced practitioners.

• Curated by: Behind the CMO
• Funded by [optional]: Self-funded
• Shared by [optional]: James Murray
• Language(s) (NLP): English
• License: CC BY 4.0

Uses

Direct Use

This dataset can be used for:

• Training and fine-tuning NLP models for leadership and business communication.
• Retrieval-augmented generation (RAG) tasks simulating executive insights.
• Creating synthetic interviews or knowledge agents trained on CMO thought leadership.

Out-of-Scope Use

• Generating generalized business advice without fine-tuning or context.
• Misrepresenting generated content as statements from actual CMOs.
• Predictive analytics not grounded in temporal or business reality.

Dataset Structure

The dataset consists of individual newsletter issues, each containing:

• Title
• Summary
• Full body text
• Date of publication
• Thematic tags (e.g., AI in marketing, demand gen, leadership)

There is no predefined train/test split due to the small size.

Dataset Creation

Curation Rationale

Created to preserve and structure high-quality, insight-rich commentary from marketing leadership to support machine learning tasks in business strategy and communication.

Source Data

Data Collection and Processing

Content was manually exported from the Behind the CMO newsletter archive. Each edition was cleaned, normalized (removal of extraneous HTML or tracking tags), and parsed into structured entries.

Who are the source data producers?

Primary content created by James Murray with contributions and quotes from CMOs, marketing leads, and cited public sources. Demographics skew toward U.S.-based mid-to-senior level marketing executives.

Bias, Risks, and Limitations

• Opinions represent a limited subset of CMOs, largely from B2B tech.
• Content may reflect trends or opinions relevant only within a certain time window.
• Small dataset size limits generalizability for large-scale training.

Recommendations

Use as a niche retrieval or fine-tuning set for executive tone generation or marketing agent modeling, not for generalized text generation without additional corpora.

Citation [optional]

BibTeX:

@misc{behindthecmo2024,
  author       = {Murray, James},
  title        = {Behind the CMO Newsletter Dataset},
  year         = 2025,
  howpublished = {\url{https://www.behindthecmo.com}},
  note         = {Accessed 2024-06-11}
}