Executive Summary

Problem: Millions of self-published authors (roughly 3,000,000 active indies) struggle with discoverability and lack the budget, expertise, or time to run effective paid campaigns across Amazon Ads, BookBub, Meta and email, which leads to wasted ad spend and poor sales. This is a pragmatic pain — authors need repeatable, low-effort ways to get visibility, not more generic marketing advice. What you could build: a SaaS that uses generative AI to create category-appropriate blurbs, ad creatives, and landing pages, automatically runs and optimizes multichannel paid campaigns, and reports ROI in author-friendly terms, with tiered pricing around a $1,000 ACV target and optional performance-based fees. The product should bundle templates, simple budget controls, and one-click integrations to BookBub, Amazon Ads, Meta, and common mailing platforms. Market opportunity: the TAM is roughly $3.0B (3,000,000 authors × $1,000 ACV) with a high market score (90/100) and good revenue potential (80/100) because self-publishing continues to grow while paid discovery channels become more complex and expensive. Generative AI now makes automated, high-volume creative and copy production feasible, lowering the cost to serve long-tail authors at scale. Competitive edge: you can differentiate by combining domain-specific models tuned to book genres, deep integrations with the key ad platforms, and an ROI-first pricing or hybrid model that aligns with author outcomes, plus community-driven templates and testimonial pipelines. Be honest about the challenges — customer acquisition cost across millions of low-LTV authors, proving consistent ROI across genres, and navigating platform ad policies — but if you can crack reliable performance signals, the economics and demand look strong.

Market Opportunity

Automated AI marketing for self-published authors to increase book visibility targets a $3.0B = 3,000,000 authors × $1,000 ACV total addressable market with medium saturation and a year-over-year growth rate of 12% CAGR — based on self-publishing growth, increased indie publishing activity, and rising adoption of digital marketing automation (industry reports and KDP growth indicators).

Key trends driving demand: Trend — Self-publishing continues to grow as distribution and print-on-demand costs drop, creating a steady stream of authors who need discoverability tools.; Trend — Generative AI now produces publishable marketing copy and creative assets quickly, enabling automated campaign creation previously impractical.; Trend — Paid discovery channels (BookBub, Amazon Ads, Facebook/Meta) are growing more complex and expensive, pushing authors toward automation and optimization to improve ROI.; Trend — Indie authors increasingly seek subscription SaaS rather than one-off agency work to sustain long-term sales and backlist promotion..

Key competitors include BookBub, Reedsy, Publisher Rocket.

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Automated AI marketing for self-published authors to increase book visibility

Executive Summary

Market Validation

Market Opportunity

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