Generated Episode Idea

{"title":"Price Elasticity Lab: 5 Steps to Test and Optimize Book Pricing for Maximum Revenue","one_liner":"A practical, 8-minute playbook that teaches authors how to run small, controlled pricing experiments on KDP and allied channels to find the sweet spot between sales velocity and per-sale revenue.","description":"Many authors treat pricing as a guess. This episode turns pricing into a repeatable experiment. In eight minutes Dan Desmarques walks a professional author audience through a five-step lab: define clear revenue goals, set test cohorts (price points, Kindle Select vs wide), run short controlled promos and ad-supported tests, measure unit sales vs revenue per reader, and scale the winning price while guarding reader lifetime value. You’ll get concrete KPIs (A/B cohorts, ROI on ads, KU page-read sensitivity), a brief real-world case where a midlist nonfiction title increased monthly revenue 28% by raising ebook price while adjusting ad bids, and a ready-to-use action checklist to run your first test within 72 hours. No hype — just measured experiments authors can run on KDP, KU, and paperback channels to improve per-title profitability.","why_now":"Pricing dynamics are a core, timeless lever authors control to balance discoverability and revenue; converting price from intuition into experiment-driven strategy delivers lasting, repeatable improvements to author income.","target_audience":"Indie and hybrid authors who have at least one published title and want to increase per-title revenue through data-driven pricing tests on KDP, Kindle Unlimited, paperback and audiobooks.","episode_type":"monologue","estimated_runtime_s":480,"outline":["00:00-00:30 — Hook: The common pain — why guessing price costs authors sales and revenue, and the opportunity to treat price as an experiment.","00:30-01:30 — Promise & Framework: What you’ll learn—five steps that convert pricing from guesswork to repeatable lab tests.","01:30-02:30 — Step 1: Define your objective and KPIs — unit sales, revenue, ACoS on ads, KU page-read impact, and subscriber conversion from backmatter.","02:30-03:30 — Step 2: Design test cohorts — how to pick 2–3 price points, control groups (KU vs wide), and short promo windows to isolate variables.","03:30-04:30 — Step 3: Run controlled promos and ads — practical tactics for countdown deals, temporary price raises, and low-budget Amazon ad campaigns to stress-test elasticity.","04:30-05:30 — Step 4: Measure and interpret results — what metrics matter, how to avoid false positives, and when to run a second iteration.","05:30-06:30 — Step 5: Scale a winner responsibly — rollouts across formats, adjusting ad bids and backmatter funnels to protect lifetime value.","06:30-07:30 — Case Study: A concise real example of a nonfiction midlist title that raised price, tightened ads, and increased monthly revenue by optimizing price versus volume.","07:30-07:50 — Immediate Action: A 72-hour checklist authors can execute now to set up their first price experiment.","07:50-08:00 — CTA & Outro: Quick recap and custom CTA to book a 22 Lions pricing audit or download the episode’s test template to run your first lab.","tags":["pricing","KDP","book-marketing","royalties","experimentation"],"duplication_check":{"nearest_match_title":"Royalty Stacking: 5 Steps to Boost Per-Reader Revenue Across Formats","similarity_score":0.32,"decision":"distinct"},"risks":["Misinterpreting short-term spikes as sustainable wins"],"mitigations":["Use control windows (72-hour or 7-day tests), track revenue over multiple intervals, and repeat the test before full rollout to confirm results."],"risks":["Running price tests that damage KU page-read income without checking exclusivity impact"],"mitigations":["Include KU vs wide as explicit cohorts in your test plan and model KU page-read revenue alongside unit sales before changing enrollment."],"risks":["Using ad spend that makes a test unprofitable and drawing wrong conclusions"],"mitigations":["Cap ad spend per cohort, calculate true net revenue after ACoS, and prefer small-scale tests with clear stop-loss thresholds."]}Become a supporter of this podcast: https://www.spreaker.com/podcast/the-22-lions-podcast-ai-self-publishing-book-empire-secrets--7016918/support.