Selling Signals - the Data Monetisation Podcast Podcast By James Worthington and Eric Evans cover art

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
  • Aidan North: Alt Data in an Agentic World
    Apr 2 2026

    In this episode of Selling Signals, we’re joined by Aidan North, Commercial Lead at Orbit. Orbit sits at the intersection of unstructured data, AI and institutional investing, helping transform unstructured information into formats that can be consumed within investment workflows.

    We discuss how hedge funds are adopting AI, Orbit’s position at the forefront of agentic use of alternative data, and what has changed since the early days of pre-LLM systems. Aidan also explains Model Context Protocol (MCP) and why it is becoming an important part of the data ecosystem, enabling smaller funds to access and integrate datasets that were previously out of reach.

    This episode is essential listening for anyone building or selling data products into the investment industry, or trying to understand where AI is having real commercial impact.

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    56 mins
  • Valsys: Ticker Mapping Explained
    Mar 19 2026

    In this episode of Selling Signals, we are joined by James's Valsys co-founders, Jack Fuller and Simon Bessey, for a practical discussion on ticker mapping. It is one of the least visible parts of the alternative data workflow, but it has a big impact on whether a dataset can actually be used by the buy side.

    We discuss what ticker mapping is and why funds care about it. Jack and Simon explain why the problem is harder than it looks. They show how point-in-time accuracy changes the picture and what good validation looks like. We also get into why ownership changes and M&A make mapping much harder to get right.

    This episode is essential listening for any data provider that wants to make its product usable in capital markets.

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    53 mins
  • Lauren Ambrose: Monetising Exhaust Data
    Mar 5 2026

    In this episode of Selling Signals, we’re joined by Lauren Ambrose, Business Development Director at Snoop. Before joining Snoop, Lauren spent nearly a decade at PitchBook and later worked at Ascential, giving her a rare view of how data is commercialised across very different organisational settings.

    We discuss how PitchBook became embedded in private market workflows and how different the challenge becomes when you’re building a new revenue line from exhaust data inside a consumer-facing business. Lauren also shares how Snoop’s UK consumer spending data can be positioned not only to investors, but also to adjacent markets such as advertising.

    This episode is essential listening for anyone breaking into new data markets, prioritising early buyers or trying to sell one dataset across multiple use cases.

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    45 mins
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