What this book covers

Patrick Gilbert describes the shift towards machine learning in advertising and the changes it brings to agency work. Its owner-level value is a discussion of responsibilities: which decisions require business judgement, what the platform executes and how the team evaluates outcomes. Read its 2020 account of automation with the period clearly in view.

Bring it to your work

List the decisions you delegate to automation and the data quality, constraints and monitoring each decision requires. PMC editorial prompt, not a quoted book exercise or tested outcome.

Access and review scope

Campaign examples and forecasts belong to the 2020 context and require current verification. Agency anecdotes do not establish repeatable performance gains. The inspected substantive author text is a bonus chapter published separately on the book site, not a chapter verified inside the purchased edition. Hardcover publisher, date and ISBN come from a retailer record. The author markets agency services; full book not read.

About this reading guide

This guide draws on the source description, contents or sample identified in the edition notes. No external review is cited for this listing.

Prepared with AI assistance from the sources identified on this page. The applications and comparisons are Paid Media Collective suggestions, not claims of full-book reading. An external review does not verify every claim in a book.

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Edition & source notes

The reference below identifies the material checked for this listing. It may differ from the format offered by the main book link.

Reference edition
Hardcover; numbered edition unspecified
Format
hardcover
Reference edition date
16 November 2020
ISBN-13
9781632218889

Description and sample reviewed. Sources checked . Book not read in full.

Reading context: 2020 automation and agency perspective.

Official overview and substantive author bonus chapter on agency adaptation inspected; full book not read.

Access: Paid book; price varies by retailer and format.

Campaign examples and forecasts belong to the 2020 context and require current verification. Agency anecdotes do not establish repeatable performance gains.

The inspected substantive author text is a bonus chapter published separately on the book site, not a chapter verified inside the purchased edition.

Hardcover publisher, date and ISBN come from a retailer record. The author markets agency services; full book not read.

Source facts and reading prompts prepared with AI assistance. The named authors and linked publishers retain credit for the original work. Source verification is separate from an assessment of current platform tactics.

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