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Selling Signals - the Data Monetisation Podcast

Selling Signals - the Data Monetisation Podcast

By: James Worthington and Eric Evans
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Selling Signals is the podcast for anyone building, selling, or buying data, with a focus on commercialising data in the investor ecosystem.

Each episode brings together industry insiders to share real, first-hand experience from the front lines of data sales. We unpack what actually works when turning raw data into revenue, whilst exploring other data buying silos to break down the walls between them.

Selling Signals delivers practical lessons to help data teams sell better and build stronger, more commercial data businesses.

© 2026 Selling Signals - the Data Monetisation Podcast
Economics
Episodes
  • Jonathan Chin: Building a Tier 1 Dataset
    May 28 2026

    In this episode of Selling Signals, we’re joined by Jonathan Chin, co-founder of Facteus and author of Data-Minded. Jonathan brings a founder’s view on what it takes to build a transaction data provider trusted by institutional investors.

    We talk about why data businesses do not behave like SaaS companies. Data often sells optionality rather than a fixed outcome, which changes the way buyers evaluate products. Jonathan explains where SaaS playbooks break down, what still carries across and why data quality issues are different from software bugs.

    We also discuss aggregation, alpha decay and the role of AI in the future of alternative data. A big part of the conversation focuses on whether alternative datasets could become part of future model training rather than simply being queried through tools or MCP servers.

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    42 mins
  • Sheraz Bhatti: Land and Expand
    May 14 2026

    In this episode of Selling Signals, we’re joined by Sheraz Bhatti, who led Customer Success at Similarweb and now does the same at Quartr.

    We discuss what Customer Success means in a data business and why it differs from the standard SaaS playbook. Sheraz explains what good adoption looks like, why usage metrics can be misleading, and how data vendors can tell whether their product is making it into real investment decisions.

    We also cover churn risk, internal champions and what “land and expand” looks like when the product being sold is data.

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    49 mins
  • Julia Meigh: Macro, Mayhem & (Prediction) Markets
    May 1 2026

    In this episode of Selling Signals, we’re joined by Julia Meigh, who has spent years helping investors decide what data to buy, with a particular focus on macro and ESG. Few people have had a closer view of how macro investors think about new datasets or how providers break into the market generally.

    We discuss what macro funds actually need from data and where vendors still have room to win. Julia also shares her view on geopolitical uncertainty and on prediction markets, both of which are playing a bigger role in macro investing.

    This episode is essential listening for anyone building data products for macro investors or trying to understand where that market is heading.

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    37 mins
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