Prompt Details
Model
(v3)
Token size
1,155
Example input
[episode_topic, e.g. a B2B SaaS founder explains why they switched from usage-based pricing to flat-fee pricing, and the customer pushback that followed]: A B2B SaaS founder explains why they switched from usage-based pricing to flat-fee pricing, and the customer pushback that followed
[podcast_niche, e.g. business / tech / health / true crime / comedy / education]: business
[host_name, e.g. Alex Chen]: Alex Chen
Example output
=== SECTION 1: SHOW NOTES ===
Flat-fee vs usage-based pricing — the wrong choice can cost you 40% of your enterprise renewals. In this episode, host Alex Chen sits down with the founder of a B2B SaaS platform that grew from $2M to $18M ARR after switching from usage-based to flat-fee pricing. We unpack the three customer signals that triggered the switch, the pricing experiment that nearly killed their NPS, and the one customer segment that still pushes back every renewal cycle. If you are a SaaS founder pricing your next tier, this is the episode that will save you six months of A/B tests. Subscribe for weekly conversations with operators who actually ship. Rate and review — it doubles our reach.
=== SECTION 2: TIMESTAMPED CHAPTERS ===
[00:00] The pivot: why we abandoned usage-based pricing
[04:12] The three customer signals that triggered the switch
[11:30] The pricing experiment that killed our NPS
[22:45] The customer segment that still pushes back
[34:20] How we rebuilt the pricing page in 6 weeks
[44:10] What we would do differently if we started today
[52:30] Listener Q&A: how to test a new tier without churn
=== SECTION 3: GUEST BIO ===
Maya Patel is the founder and CEO of Lumen Analytics, a B2B SaaS platform that grew from $2M to $18M ARR after switching from usage-based to flat-fee pricing. She previously led product at Stripe and holds a patent on dynamic pricing visualization.
=== SECTION 4: KEY TAKEAWAYS ===
- Audit your top 20 customers' usage patterns this week — if 5+ are over-using and 5+ are under-using, you have a pricing-tier mismatch.
- Run a 90-day flat-fee pilot with your top 10 enterprise customers before changing your public pricing page.
- Track NPS weekly during a pricing change — a 5-point drop is a signal to pause, not push through.
- Refund over-usage fees within 30 days of switching tiers — it builds trust faster than any sales call.
=== SECTION 5: SOCIAL MEDIA POSTS ===
TWITTER: "We grew from $2M to $18M ARR by switching from usage-based to flat-fee pricing. The 3 customer signals that triggered the switch — on the pod today. [link] #SaaS #Pricing"
LINKEDIN: "Pricing is the most expensive A/B test you will ever run. In this week's episode, the founder of Lumen Analytics walks through the 90-day pilot that saved them $400K in churn. If you are pricing your next SaaS tier, this conversation will save you six months of tests. Hosted by Alex Chen. [link] #SaaS #PricingStrategy #B2B #Founders #Product"
INSTAGRAM: "From $2M to $18M ARR — by switching pricing models. Episode out now. [link in bio] #SaaS #FounderLife #Pricing"
=== SECTION 6: AUTO-SCORE ===
SEO (1-10): 8 — "B2B SaaS pricing", "flat-fee", "usage-based" all in first 50 words
Completeness (1-10): 9 — all 6 sections present, timestamps properly formatted
Engagement (1-10): 8 — Twitter hook survives "see more" cut, LinkedIn front-loads the value
Shareability (1-10): 8 — takeaways are specific and actionable, easy to forward
Aggregate: 8.2
3 TWEAKS:
TWEAK 1: Add the keyword "freemium conversion" to the show notes first 50 words (boosts SEO)
TWEAK 2: Replace the LinkedIn post's first line with a number: "Pricing is a $400K A/B test" (boosts engagement)
TWEAK 3: Add one more takeaway about the support-ticket volume change after the pricing switch (boosts shareability)
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V3
Generate a complete podcast post-production package from one episode topic: SEO-friendly show notes, timestamped chapters, guest bio, 3-5 key takeaways, and 3 social media short posts (Twitter, LinkedIn, Instagram). Works across 6 podcast niches including business, tech, health, true crime, comedy, and education. Built around the 4-axis quality framework inspired by quality patterns from top-performing podcast apps. Reproducible across runs.
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Added 13 hours ago
