This episode breaks down how a $4.2M ARR B2B SaaS company moved net revenue retention from 98% to 121% in two quarters without adding a single new logo — the biggest takeaway being that fixing retention before layering on expansion levers can rebuild growth without touching acquisition.

Derek and Elena dissect the exact levers used, the operational strain the fix created, and how to tell if a strong NRR number is broad-based or hiding a whale-account problem.

• Why 98% NRR, not the commonly cited 106% blended figure, is the real median for $1-10M ARR companies.
• How dunning optimization, proactive seat right-sizing, and usage-based pricing lifted NRR without new customer acquisition.
• How the founder stress-tested whether 121% NRR was broad-based growth or three accounts carrying the whole story.
• Why a two-person CS team broke under the new retention motion, and how usage-triggered upgrade prompts replaced manual QBRs.

This is the Wednesday episode for Week 28 of 2026. Guest: Founder of a $4.2M ARR B2B SaaS company.

Derek opens with the cold-open shock stat: NRR cratered to 84% right after a usage-based pricing migration before rebounding higher six months later. Elena frames the episode's central tension and the two hosts stake out their roles — Derek reconstructing the story, Elena auditing the numbers — against the backdrop of Gartner's 40%-by-2030 usage/outcome pricing shift.

In this episode, we cover Hook / Data Drop, Guest Revenue Backstory, Growth Move Dissection, and more.

This week's Wednesday episode (Week 26, 2026) features a founder who turned a CFO audit crisis into an 88% renewal rate — up from 71% — across B2B SaaS enterprise accounts, using three concrete retention moves built in sixty days.

Topics covered in this episode:

• Why token prices falling 80% still produced a 320% surge in enterprise AI bills, driven by agentic workflows multiplying per-interaction costs up to 30 times
• How a hard monthly spend cap, a cost-per-outcome dashboard, and a two-page finance-language ROI summary drove a 17-point renewal swing on accounts with dashboard access
• Why the ROI doc failed on accounts where unit economics had genuinely worsened — and what the KPMG finding that only 26% of companies can fully track AI costs means for future scrutiny
• How to convert a 60-day retention playbook into a pre-renewal checklist against a backdrop of AI-driven renewal increases now running 20–37% versus the historical 3–9% norm

If your ARR growth depends on AI-driven pricing inside enterprise accounts, this episode is the pre-mortem you need before your next renewal cycle. Guest name, title, and company withheld pending release clearance. Keywords: B2B SaaS, ARR, growth, acquisition.

Three founders — Mara at $2.1M ARR, Dev at $4.8M ARR, and Jamie at $1.4M ARR — each watched enterprise deals go dark before a single positioning change closed all of them. This is the Wednesday episode for Week 25 of 2026, and it covers the consolidation data that B2B SaaS operators can no longer ignore: 68% of tech leaders have active vendor reduction plans, and enterprise stacks have already shrunk from 130 to 106 apps.

• How Mara cut her B2B SaaS sales cycle from 140 to 67 days by replacing point-solution language with workflow-critical positioning
• Why Jamie's proactive usage dashboard — built to defend ARR — was forwarded to procurement and used against her at renewal
• How Dev compressed deal cycles from 95 to 58 days using a milestone exit ramp, and why his multi-threading approach collapsed without a coordination layer
• The three Q2 objection patterns killing pipeline growth right now — procurement stall, false equivalence, and disguised budget freeze — and the counter-move for each

Featuring Mara, Dev, and Jamie, as discussed by Derek Simmons and Elena Reyes on ARR Autopsy.

This week's guest burned through a hard-capped AI tool budget line and watched a mid-market deal collapse in real time. The single biggest takeaway: how your product is categorized in a buyer's spend management tool now determines whether you get to renewal, not just whether you close.

• Why Uber capping engineers at $1,500 per tool per month reshaped the enterprise procurement conversation for B2B SaaS in 2026
• How a budget categorization problem, distinct from a standard price objection, was dragging close rates below the 20–28% mid-market benchmark
• The before-and-after conversion data from a pricing page redesign, and why a subscription floor plus usage upside structure changed buyer behavior
• The thirty-second call script that moved meeting-to-proposal conversion before close rate recovered, and what that sequence reveals about where the real ARR growth lever was hiding
• Why the token price paradox, per-token costs down 98% but enterprise AI bills up 320%, sets up CFO-driven churn at Q3 renewal

Wednesday episode, Week 24 of 2026. B2B SaaS founders between $200K and $5M ARR should audit their product's budget categorization in buyer spend tools before the next renewal call arrives.

This week's guest reached $1.4M ARR with two human SDRs before running a controlled 90-day AI versus human outbound test on identical lists — and the results reframed the entire cost argument once show rates entered the equation. This is the Wednesday episode for Week 23 of 2026.

• Why AI-booked meetings show at 40-60% versus 70-85% for human-booked meetings, and how that single gap inverts the cost-per-meeting math in B2B SaaS outbound
• The SQL conversion rate spread — 15-20% for AI versus 25% for humans — that compounds the show rate problem and inflates true cost per qualified opportunity
• How the hybrid fix created three operational failures: CRM data decay, a burned warm domain, and no handoff rule between AI and human reps
• The three conditions required before building hybrid infrastructure across the $200K to $5M ARR growth window, and the one weekly metric that signals system degradation

Derek Simmons and Elena Reyes, ARR Autopsy — covering acquisition, pipeline math, and B2B SaaS revenue decisions that hold up when someone finally checks the numbers.

This Week 22 Wednesday episode of ARR Autopsy examines how an $800K ARR B2B SaaS company reduced monthly churn by two points across 90 days, generating more ARR growth than its entire paid acquisition budget for the year.

Topics covered in this episode:

• How dunning automation pushed payment recovery from 28% to 71%, the lowest-risk first move in any churn reduction sequence
• Why 60-70% of churn concentrated in the first 90 days was invisible in monthly numbers but catastrophic in cohort data
• How an onboarding overhaul and annual billing conversion campaign combined to push NRR from 94% to 103% by month four
• Why a login-frequency health score collapsed in six weeks and what an eight-week composite signal rebuild actually delivered

The guest's highest-regret lesson: hire a customer success hire before the next account executive, because early-stage churn in B2B SaaS is invisible until it compounds into a crisis.

Guest: Elena Reyes, ARR Autopsy co-host.

This week's Wednesday episode (Week 21, 2026) features a B2B SaaS founder who entered the show at $600K ARR with a 74-day sales cycle, an 18-month CAC payback period, and no formal activation tracking — and left with a repeatable PLG motion that pushed NRR past 100% in six months.

• Why three consecutive fix attempts — a pricing cut to $12K ACV, an 800-sequence outbound blitz, and a reseller partnership — all failed before the founder switched motions
• How a PQL definition built backward from 18 months of closed-won data moved free-to-paid conversion from roughly 8% to over 25%
• The three-bucket attribution rule that resolved a rep compensation dispute and kept the hybrid sales team intact during the PLG transition
• Why activation rate climbed from 19% to 41% in four months, and what operational failures followed once the motion scaled

Guest: Elena Reyes and Derek Simmons, hosts of ARR Autopsy, dissecting a real B2B SaaS growth case study with specific ARR, acquisition, and retention metrics.

A $280K ARR, three-person B2B SaaS team ran on gut-feel pricing for fourteen months while trial-to-paid conversion sat at 3.1% — less than half the ChartMogul 2026 median of 8.9% — until a first-ever MRR dip in month fifteen forced a systematic approach to pricing experimentation. This is the Wednesday episode for Week 20 of 2026.

• How a tier restructure moved one feature down one level and lifted page-to-trial conversion by 18%, from 3.1% to 3.7%, on five weeks of thin but sufficient traffic
• Why flipping the billing toggle default from monthly to annual pushed annual plan mix from 15% to 41% of new sign-ups in five weeks
• How the tier restructure drove a 37% churn reduction by aligning feature packaging with solo-operator needs and opening meaningful expansion ARR growth in the following six months
• Why the founder rejected usage-based overages to protect ARR predictability, and how a homegrown billing system collapsed under three concurrent plan versions before a three-week hard-stop fix restored order

Guest: founder and CEO, ARR at time of recording $280K, B2B SaaS. If this episode changes how you think about pricing and growth, share it with one founder who needs it and subscribe on YouTube or your podcast app.

This week's Thursday episode (Week 19, 2026) reconstructs the pre-breakthrough dashboard of an AI-native B2B SaaS company, opening with the data point that defines the gap: a median team of four hitting $1M ARR versus fourteen for traditional SaaS, translating to $238K versus $71K in revenue per employee.

Derek Simmons and Elena Reyes cover four specific areas with hard numbers attached: how AI-native burn rates of $4,200 per month before revenue compare to $87K for traditional SaaS and why that gap distorts founder decision-making on failing acquisition channels; why PLG at a $47 median CAC outperforms acquisition-first models at $271, and how 56% trial-to-paid conversion rates for AI-native companies compare to 32% for the rest of B2B SaaS; how usage and outcome-based pricing produces 118% median NRR versus 95% for per-seat models; and why first-month churn runs 23% higher at scale, what the AE hiring mistake costs in GTM learnings, and why a 3.2-month competitor window makes scaling errors time-critical. Keywords: B2B SaaS, ARR, growth, acquisition.

• $47 PLG median CAC versus $271 for traditional SaaS acquisition models
• 41% of AI-native winners use usage or outcome-based pricing with 118% median NRR
• First-month churn at scale runs 23% above traditional SaaS benchmarks
• Competitor window after product-market fit averages 3.2 months

Hosted by Elena Reyes and Derek Simmons on ARR Autopsy. If this episode changed how you read your own dashboard, share it with one founder who needs it.