Summary
Updated
Network sales (Hyro)Total Bast's whole network has sold for Hyro. Headline = the panel lifetime (the complete figure). 'Captured by tx' = what the scraper has logged as dated transactions (~79%); the Income tab uses that captured number, which is why the two can differ.
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Panel lifetime · live · Panel updated
Captured by tx:
Hyro spend (to KOLs)What Hyro has paid the KOLs (Notion KOL Expenses: upfronts, payouts, SEO, monthly…). This is your CAC — Hyro's cost to run the network.
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To KOLs · KOL Expenses
Hyro netHyro's net P&L on Bast's network = network sales − what Hyro pays the KOLs (expenses) − the BD override Bast earns. Panel/lifetime lens. The override is a separate stream (96% of expenses are tied to a specific KOL), so subtracting it does not double-count.
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Sales − KOL spend − BD override · panel
BD commission (Bast)The commission the BD (Bast) earns on that revenue — NOT what the KOLs earn. This is the pot BEFORE your 50/50 split with Bast (see the Settlement tab). Headline = panel lifetime; 'Captured by tx' = the dated figure the Income tab uses.
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of revenue · live
Captured by tx:
Active affiliatesAffiliates marked 'Active' in Notion (manual status). Unrelated to recent sales.
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Status = active · Notion
In negotiationAffiliates currently in 'negotiation' status in the Notion pipeline.
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Active deal pipeline
Two figures per KPI. The big number = Hyro panel (lifetime cumulative — the official total). “Captured by tx” = what the live scraper has logged transaction-by-transaction (auditable; the Income tab uses this one). They differ because the scraper only captures forward and hasn't rebuilt the full history yet — they converge over time.
Pipeline, expense and affiliate data (Notion × Hyro) live in the HyroTrader workspace. Pick HyroTrader above to see them. Funding Predicts will fill its own data when its pipeline starts.
What happened this week
Sales in the last 7 days vs the 7 days before, per affiliate.
No relevant moves this week.
🟢 Picking up
✨ Back selling
(was $0)
🔴 Slowing / stopped
Churn — who to reactivate
active
cooling (30–60d)
dead (>60d)
Reactivate first (most valuable cooling):
Nobody cooling right now. 👍
days idle ·
Momentum — who added the most revenue
New revenue each affiliate added across the window: the latest panel value minus the value ~30 days ago. Measured endpoint-to-endpoint, so a one-off panel recalculation in between doesn't distort it. Ranked by dollars added; growth % is shown as a secondary cue.
Revenue added per affiliate since
· d (history isn't 30 days yet)
No affiliate added revenue in this window yet.
→
new
Multi-level — direct vs level-2
Your sub-affiliates split by level. Tier 1 = signed up with your direct coupon (you keep ~30% of their sub-commission as override). Tier 2 = sales from your affiliates' own referrals (you keep ~10%). The affiliate panel doesn't expose each KOL's parent, so a full parent→child tree can't be built — only this per-level split.
Direct (tier 1)
your coupon · ~30%
Level-2 (tier 2)
override · ~10%
Affiliates
Revenue
KOL commission
Your commission
Your override
Tier 1 = signed up with your direct coupon. Tier 2 = sales from your affiliates' own referrals (you earn an override). No parent→child tree: the panel doesn't expose each KOL's upline.
Pipeline funnel — affiliates by status (Notion)Affiliates grouped by Notion pipeline status. The fullest bar is your bottleneck.
Bottleneck = the most congested status. Active = live relationship; reactivate inactive ones.
BD expenses by type — paid to KOLs (KOL Expenses)Payments to KOLs split by type (mirror of Notion 'KOL Expenses').
Total split by payment type.
Affiliates — Notion × Hyro (by username)Each affiliate joined by coupon across Notion (CRM) × Hyro panel (live sales). Rows with a Hyro match are the ones actually selling.
shown · with Hyro match · total
| Affiliate | Code | Via | Status | Hyro revenue | Your commission | Conv. | Notion rev. | Earned (KOL) | Paid to KOL | KOL balanceKOL balance = Earned − Paid. + means you still owe the KOL; − means you paid them ahead. Flagged when the gap is ≥ $500. Fix it manually in Notion. |
|---|---|---|---|---|---|---|---|---|---|---|
| No affiliates with these filters. | ||||||||||
KOL balance = Earned (what the KOL earned per the panel) − Paid (what you disbursed in Notion). + you still owe the KOL · − you paid ahead. Flagged when ≥ $500.
Joins what Notion says (Affiliates Pipeline) with what Hyro measures by username (the robust key). username = linked by the fixed key; coupon = transient match while Bast confirms the username. Still need to link the ones without a match.
Revenue : CAC by affiliate (Hyro view)
≥4x1–4x<1x
Hyro's view (Hyro receives the sales and pays the KOL). LTV = revenue the affiliate generates for Hyro. CAC = what Hyro pays them (upfront, bonuses, retainer). Ratio = revenue ÷ CAC.
| Affiliate | Revenue | CAC | Revenue:CAC | Conv. |
|---|---|---|---|---|
| No affiliates with these filters. | ||||
Revenue:CAC = ∞ = affiliate with no acquisition cost recorded (no upfront/retainer paid) → all their revenue came free of acquisition spend.
Pareto ranking — the 20% that drives 80% of your commission
Green = affiliates that make up the first 80% of your BD commission. Concentrate upfronts and retainers there. Gray = tail.
No per-affiliate revenue yet.Funding Predicts has no affiliates yet.
Per-affiliate economics (BD commission : CAC) live in HyroTrader today — switch above to see them. Fills in when the Hyro mirror syncs revenue per sub-affiliate.
Per-affiliate economics (BD commission : CAC) live in HyroTrader today — switch above to see them. Fills in when the Hyro mirror syncs revenue per sub-affiliate.
Per-customer economics · cohorts and pass-rate
Empty by design · needs trader-level data
Net LTV per customer, pass-rate and cohort curves need per-trader data (who bought through each code, who passed the evaluation, who got funded). The affiliate panel doesn't expose that — it lives in the prop firm's risk backend — so these stay empty by design, not from a bug. They'd only fill if we connect that source.
Cohort curves — cumulative Net LTV
Lines that go negative = cohort with destructive payout exposure.
Pass-rate and Payout Exposure by affiliate
High pass-rate + high payout = candidate to lower commission or drop the retainer.