{"podcast":{"title":"SaaS Metrics School","slug":"saas-metrics-school-6467825","podcast_index_feed_id":6467825,"rss_url":"https://app.kajabi.com/podcasts/2147570179/feed","website_url":"https://www.thesaasacademy.com/podcasts/saas-metrics-school","image_url":"https://kajabi-storefronts-production.kajabi-cdn.com/kajabi-storefronts-production/file-uploads/site/70333/podcasts/36206f-febd-0e0-8167-3d08ead5b4_SAAS-METRICS-SCHOOL_ARTWORK.jpg","author":"Ben Murray","episode_count":381,"summary":"Ben Murray brings you actionable SaaS metrics lessons that he has learned through years of being in the SaaS CFO trenches. Whether you are new to SaaS or a SaaS veteran, learn the latest SaaS and AI metrics, finance, and accounting tactics that drive financial transparency and improved decision-making. Ben’s SaaS metrics blog consistently rates a 70+ NPS, and his templates have been downloaded over 100,000 times. There is always something to learn about SaaS and AI metrics.","last_synced_at":"2026-07-22T22:17:24.587138+00:00","page_url":"https://stenobird.com/podcast/saas-metrics-school-6467825"},"episode":{"title":"How to Track Digital Labor in Your SaaS P&L","slug":"how-to-track-digital-labor-in-your-saas-p-l","published_at":"2026-04-09T11:00:00+00:00","page_url":"https://stenobird.com/podcast/saas-metrics-school-6467825/how-to-track-digital-labor-in-your-saas-p-l","show_page_url":"https://stenobird.com/podcast/saas-metrics-school-6467825","url":"https://www.thesaasacademy.com/podcasts/saas-metrics-school/episodes/2149189211","audio_url":"https://app.kajabi.com/podcasts/medias/2149189211.mp3","summary":"In episode #364, Ben Murray breaks down how SaaS finance teams should structure their chart of accounts to properly track inference costs, productivity AI, and agentic AI spend. As organizations shift from W-2 headcount to token costs and agentic software, your current expense coding may be out-of-date. If you can't see where the AI spend is going, you can't tie it to ROI — and you definitely can't make the case for going fully agentic. Why COGS is the right home for product inference costs (Claude, OpenAI, Gemini) — and why lumping them in with hosting is a mistake The three distinct AI spend buckets every SaaS CFO needs to track: direct COGS delivery costs, general productivity tools, and explicit labor substitution (agentic AI) Why agentic AI spend deserves its own GL account — and how that ties directly into your ROSE metric Where the tracking gets fuzzy: productivity tools vs. true labor displacement, and how to think about cause-and-effect as a CFO How AI spend reshapes the ROSE metric as orgs push toward $5M–$10M ARR per FTE targets Tune in to get the chart of accounts framework SaaS CFOs need before AI spend becomes too big to ignore — and too messy to measure. Resources Mentioned ROSE Metric:  https://www.thesaascfo.com/saas-rose-metric/","meta_description":"In episode #364, Ben Murray breaks down how SaaS finance teams should structure their chart of accounts to properly track inference costs, productivity AI…","key_points":[],"chapters":[],"topics":[],"duration_seconds":329,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/saas-metrics-school-6467825/episodes/how-to-track-digital-labor-in-your-saas-p-l/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/saas-metrics-school-6467825/how-to-track-digital-labor-in-your-saas-p-l.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}