All-Platform Streams
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Apple · Spotify · Overcast · Amazon · web
Avg Daily Streams
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Across all platforms
Followers
805
Current count
↑ +16.2% since Jan
YT Subscribers
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YT Views (Period)
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For selected period
Peak Day
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Spotify & All-Platform Streams
Last 30 Days
Spotify plays (Spotify only)
All-platform streams (Apple, Spotify, Overcast, Amazon, web players, others)
Spotify Insight
Tue
Tuesday is your strongest day averaging 9.8 plays — 48% above Sunday's 6.6 average. Schedule new releases to drop Monday night.
YouTube Insight
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Growth Signal
Apr
April 10, 2026 is your all-time best day with 152 streams — 77% above the next closest spike. The show launched April 2022 and has grown 8,600% from early daily averages.
YouTube Content
By views
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Best Days
Spotify avg
Top Spotify Days
Episode Intelligence
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Select an episode or short
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Site Traffic — Union Square Consulting
usc.com · via Google Analytics 4
Total Sessions
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Engaged Sessions
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Avg Session Duration
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Per session
Daily Sessions
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Traffic Sources
By channel
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Podcast Performance
Attribution to usc.com from podcast releases · GA4 rolling 90-day window
Three views of how podcast episodes drive traffic to usc.com. Each panel below labels its confidence:
🎯 Precise direct GA4 measurement (UTM-tagged clicks),
📊 Estimated inferred from session lift around release dates,
🔍 Audit a scan of episode descriptions for tagging hygiene (not traffic).
🎯 Precise
From Show Notes
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Per-episode tagging
🎯 Precise
From Spotify Links
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All episodes (legacy tagging)
🎯 Precise
Total Podcast Attribution
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Combined sessions
What this measures: of every session that arrived on usc.com from a podcast UTM link, how many landed first on a high-intent page —
/frameworks/…, /newsletter/…, /pricing/, or /howwework/. These pages signal a real evaluation step (downloading a lead magnet, checking pricing, exploring services), not casual browsing.
Timeframe: trailing 90 days from GA4. Why it matters: raw "sessions from the podcast" only tells you traffic showed up. Intent-page rate tells you whether the listener was a prospect when they arrived — the gap between an interested ear and a qualified lead.
🎯 Precise
Sessions to Intent Pages
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From podcast UTMs landing on high-intent pages
🎯 Precise
Intent Rate
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Of podcast-attributed sessions
🎯 Precise
Top Intent Path
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Most podcast traffic landed here
Measured Attribution — Top Episodes
🎯 Precise
By show notes clicks · top landing pages
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What this measures: for each Spotify episode released inside the last 90 days, compares average daily sessions in the 7 days after release to the 30 days before. Because GTM Science releases roughly weekly, the baseline includes other release weeks — so the metric reads as "did this release outperform a typical release week?" rather than vs a hypothetical no-release baseline. Captures untagged-but-real podcast lift (listeners who typed the URL or searched the brand) that pure UTM tracking misses.
Limitation: correlation, not causation — coincident traffic from email, ads, or organic search can be misread as podcast lift. Episodes outside the 90-day window or without 7+ days of baseline data are skipped.
📊 Estimated
Avg Release-Week Lift
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📊 Estimated
Best Release Lift
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📊 Estimated
Releases With Lift
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Release-Week Lift — By Episode
📊 Estimated
7-day window vs 30-day baseline
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What this measures: hygiene check on episode descriptions — does each episode's show-notes link to usc.com use the expected UTM convention (
utm_source=podcast&utm_medium=podcast-shownotes&utm_campaign=<slug>)? Scans YouTube descriptions live and the Spotify-hosted RSS feed (which also serves Apple Podcasts).
Drift = both platforms tag the CTA but use different campaign slugs — the worst class of attribution problem because traffic can't be reconciled across platforms.
UTM Hygiene Audit — YouTube + Spotify/Apple
🔍 Audit
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Legend — status colors and numbers explained
Status
Clean proper UTM convention
Legacy non-standard tags
Untagged usc.com link without UTM
No CTA no usc.com link found
Not on YT/RSS episode missing from this platform
Drift
⚠ same episode tagged differently across YouTube vs RSS — attribution can't reconcile across platforms
Match type
No marker = exact title-slug match between YouTube and RSS.
~ = fuzzy match: YouTube and RSS episodes paired by ≥2 meaningful word overlap AND publish dates within 14 days of each other. Used when YT publishes the same content under a different title.
Traffic (90d)
42·18 eng total GA4 sessions for that episode's campaign(s), with engaged count
— no campaign attached (untagged or no CTA) — nothing to look up
When the episode has Drift, traffic is summed across both YT and RSS campaigns. A small ⚠ appears next to the number.
Per CTA (expand)
N sessions · N engaged exact landing-page match
N campaign sessions (any landing) same campaign, different landing path — likely the same visitor already counted in a teal row above
0 sessions no GA4 traffic to this campaign
Session = one visit to usc.com (resets after 30 min idle).
Engaged session = visit lasted >10 seconds, viewed 2+ pages, or triggered a conversion event.
All counts cover the last 90 days from GA4.
#
Episode
Released
YouTube
RSS (Spotify+Apple)
Drift
Traffic (90d)
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Top Pages
Top 10 by sessions
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