About Adigy

Advertising software built from publishing experience.

Adigy helps KDP authors and publishers automate routine Amazon Ads work and understand their advertising in the context of royalties and publishing profit.

The software should do the routine work for you

Every additional book, format, marketplace, and campaign creates more advertising decisions. Adigy’s purpose is to handle repeatable optimization so publishers have more time for the work that needs their judgment: creating useful books, improving their listings, and understanding their readers.

Authors choose their goals and can inspect or override decisions. Routine optimization should not require a publisher to become an advertising specialist or approve a daily queue of suggested changes.

Ivan Finn, founder of Adigy

Ivan Finn began publishing through KDP in 2017 and started the AdsDroid advertising agency in 2020. The software began that year as an internal tool for agency work. After repeated requests, it became publicly available as Adigy in 2024.

Ivan Finn on LinkedIn

  1. 2017 — KDP publishingFirsthand experience with the economics and practical work of publishing books.
  2. 2020 — AdsDroid and the internal softwareAgency account management created the foundation for repeatable advertising automation.
  3. 2024 — Adigy becomes publicly availableThe internal tool developed into software authors and publishers could use directly.

The founder reports average annual advertising spend of approximately $7 million managed across the agency team and software combined since 2020. This is a founder-reported measure of combined experience, not an audited total attributable solely to the public Adigy product.

Book-specific decisions, with author controls

Book advertising has to work within the royalty available after printing or delivery costs. A campaign can generate retail sales while contributing little or nothing to the publisher. That is why our guidance puts royalties and costs alongside advertising metrics.

Adigy’s Negative Oracle uses performance evidence where sufficient data exists and semantic relevance when data is limited. Authors can review and reverse negative decisions, adjust aggressiveness, and protect keywords through Never Negative. Propagation stays within the relevant managed book and its format variants; it does not treat different books or pen names as interchangeable.

Learn more in our negative-keyword guide and use the break-even calculator to explore your own economics.

The Adigy Editorial Team

Adigy publishes the guides in our resource library. The team byline identifies the organisation responsible for the content; it does not imply that an independent reviewer has certified every article.

How these guides are produced

  • Firsthand source material: founder explanations and previously written publishing and agency guidance inform the practical workflows.
  • Current source checks: Amazon policies and third-party product claims are checked against named official sources. Older manual workflows are updated to reflect the current automation.
  • Assisted drafting: AI assists with research, organisation, writing, and implementation. Founder-supplied facts, provider statements, and illustrative calculations are distinguished in the text.
  • Visible limits: hypothetical examples are labeled; customer-reported results are not guarantees; paid service claims are not treated as Amazon approval.
  • Maintenance: articles show publication and update dates. Source checks and implementation records are retained with the project. Corrections can be sent to the contact below.

Adigy has a commercial interest in its own software. Our articles explain its capabilities alongside general methods readers can use independently. We do not claim that an article has received personal founder review unless that review is explicitly recorded.

Contact Adigy

For product questions or a correction to a guide, email support@adigy.ai. Include the page URL and the detail you want us to check.

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