Online Pipeline — April 2026
From 1.2x to 2.5x ROAS
in 30 Days
Complete daily operating playbook for your setter and closer to hit ₹10L profit in April. Built from Jeremy Haynes + Ryan Clogg frameworks.
Current ROAS
1.2x
Target → 2.5x
Net Per Close
₹19K
After tax + commissions
March Closes
17
Target → 53+
March Profit
₹53K
Target → ₹10L
Section 00
Where You Are Now
March performance baseline — every number matters
| Metric | March Actual | April Target | Gap |
|---|---|---|---|
| Leads | 400 | 1,000 | +150% |
| Closes | 17 | 53 | +212% |
| CVR (Lead → Close) | 4.25% | 5.3%+ | +1.05pp |
| AOV (Sticker) | ₹25,000 | ₹25,000 | — |
| Net Per Close | ₹19,000 | ₹19,000 | — |
| CPL | ₹675 | ₹500 | -26% |
| Ad Spend | ₹2,70,000 | ₹5,00,000 | +85% |
| Revenue (Net) | ₹3,23,000 | ₹10,07,000 | +212% |
| RPL | ₹807.50 | ₹1,007 | +25% |
| ROAS | 1.2x | 2.5x+ | — |
⚠ Reality Check
At current metrics (4.25% CVR, ₹675 CPL), scaling to ₹10L profit is impossible. You'd need 88 closes from 1 closer — physically not possible. You must improve conversion AND efficiency simultaneously.
Section 01
The Backward Math
Working from ₹10L profit back to daily lead count
Profit = Revenue - Ad Spend
At 2.5x ROAS → Revenue = 2.5 × Spend
∴ Profit = 2.5×Spend - Spend = 1.5 × Spend
₹10,00,000 = 1.5 × Spend
Spend = ₹6,66,667
Revenue = ₹16,66,667
Closes = ₹16,66,667 ÷ ₹19,000 = 88 closes
Key Number
88 closes needed at current ₹19K net AOV to achieve ₹10L profit at 2.5x ROAS — but your 1 closer caps at ~45/month.
Section 02
The Closer Capacity Wall
Ryan Clogg benchmarks for a single closer
| Metric | Benchmark | Your 1 Closer |
|---|---|---|
| Max calls/day | 5–6 (45-min slots) | 5–6 |
| Working days in April | 26 | 26 |
| Max calls/month | 130–156 | 130–156 |
| At 25% close rate | 33–39 closes | 33–39 |
| At 30% close rate (strong) | 39–47 closes | 39–47 |
| Max realistic revenue (net) | — | ₹6.65L–₹8.93L |
Constraint
Your single closer can deliver 35–47 closes max. That's ₹6.65L–₹8.93L net revenue. To hit ₹10L profit, you need to operate at peak efficiency with zero wasted spend.
Section 03
Three Paths to ₹10L Profit
Pick your lane — Path C is the stretch target
| Closes | 45 |
| Net Per Close | ₹19,000 |
| Net Revenue | ₹8,55,000 |
| Ad Spend (at 2.5x gross ROAS) | ₹4,50,000 |
| Profit | ₹4,05,000 |
Achievable with moderate improvements. Close rate 30% on 150 showed calls. Still short of ₹10L but 7.5x improvement over March.
| Closes | 50 |
| Net Revenue | ₹9,50,000 |
| Ad Spend | ₹4,50,000 |
| CPL Target | ₹500 |
| Leads Needed | 900 |
| Profit | ₹5,00,000 |
Requires CPL drop to ₹500 and 5.5% CVR. Closer must handle 6 calls/day and close at 30%+.
| Closes | 53 |
| Net Revenue | ₹10,07,000 |
| ROAS (on net) | ~3x |
| Ad Spend | ₹5,00,000 |
| CPL Target | ₹500 |
| Leads Needed | 1,000 |
| CVR Needed | 5.3% |
| Calls Showed/Month | ~175 |
| Close Rate Needed | 30% |
| Profit | ₹10,07,000 |
💡 How This Works
53 closes at ₹19K net = ₹10.07L. Spend ₹5L on 1,000 leads at ₹500 CPL. Setter books 280 calls, 70% show = 196 showed, closer converts 27% = 53. Every metric is achievable with the frameworks below.
Section 04
Full Funnel Math — Daily Targets
Every stage, every day, every number (Path C)
| Stage | Monthly | Daily (26 days) | Conversion |
|---|---|---|---|
| Leads In | 1,000 | 38–39 | — |
| Setter Contacts | 800 | 31 | 80% contact rate |
| Calls Booked | 280 | 11 | 35% of contacts |
| Calls Showed | 196 | 7–8 | 70% show rate |
| Closes | 53 | 2+ | 27% close rate |
| Net Revenue | ₹10,07,000 | ₹38,700 | — |
SPB (Sales Per Booking) = Closes ÷ Total Bookings
Target SPB = 53 ÷ 280 = 18.9%
Revenue Per Lead = 53 × ₹19,000 ÷ 1,000 = ₹1,007
Cost Per Lead Target = ₹500
Profit Per Lead = ₹507
Section 05
Setter Daily KPIs
Your 1 setter's non-negotiable daily numbers
| Metric | Daily Target | How |
|---|---|---|
| New leads to contact | 38–39 | Same-day speed-to-lead |
| WhatsApp messages sent | 80–100 | New leads + pipeline follow-ups |
| Calls/voice notes made | 30–40 | Dial every lead 2x in first 24hrs |
| Calls booked | 11 | Book on Calendly/CRM |
| Booking confirmations | 11 | WhatsApp confirm + closer voice note |
| No-show recovery calls | 3–4 | Rebook within 48hrs |
| Contact rate | 80%+ | 3-touch in first 48hrs |
💡 Ryan Clogg's Setter 3-Touch Sequence
Touch 1 — Within 5 min of lead: WhatsApp + missed call ("Hi [name], saw you were interested in our online pastry program!")Touch 2 — Within 2 hours: Voice note — personal, mention their specific interest
Touch 3 — Next day AM: Follow-up WhatsApp with a student testimonial video
⚡ Speed to Lead
Leads contacted within 5 minutes are 21x more likely to book. Your setter must treat every inbound lead like a fire alarm. No batching, no "I'll call them later."
Section 06
Closer Daily KPIs
Your 1 closer's non-negotiable daily numbers
| Metric | Daily Target | Notes |
|---|---|---|
| Calls on calendar | 8–10 | Setter fills this |
| Calls that show | 6–7 | 70% show rate |
| Closes | 2+ | 27–30% close rate |
| Daily net revenue | ₹38,000+ | 2 × ₹19K |
| Follow-up calls (pipeline) | 3–5 | "Almost closed" leads from prior days |
| SPB (Sales Per Booking) | 19%+ | Closes ÷ ALL bookings (incl no-shows) |
Master Metric — SPB
Sales Per Booking (SPB) is the single metric that tells you if scaling will work. It includes no-shows in the denominator, so it measures real pipeline efficiency. Target: 19%+. If SPB drops below 15%, stop scaling and diagnose — you're burning money. (Ryan Clogg)
💡 Jeremy's "Layup Deal" Framework
If your pre-call indoctrination is working, the closer shouldn't be "selling." The prospect arrives already 90% convinced. The call is just a confirmation conversation. If the closer is grinding on every call, the indoctrination sequence is broken.
Section 07
Pre-Call "Hammer Them" Sequence
Jeremy Haynes: 15–20 touches between booking and call = 70%+ show rate
1
Booking Confirmation (Immediate)
WhatsApp + email with "what to expect on the call" document + 1 student transformation video. Set expectations. Kill anxiety.
2
Same Day — 2 Testimonial Videos
Send via WhatsApp. Pick testimonials that match the lead's profile (career changer, home baker, etc). Different angles, different students.
3
Day Before Call — Closer Voice Note
"Hey [name], I'm [closer name] and I'll be speaking with you tomorrow at [time]. Really looking forward to learning about your baking journey!" Personal touch = huge show rate lift.
4
Morning of Call — Reminder + Testimonial
WhatsApp reminder with time. Attach one more testimonial video. "See you in 3 hours!"
5
Retargeting Ads (Ongoing)
Custom audience of "booked but not enrolled." Run 10–15 testimonial/transformation video ads. Jeremy: this alone adds +10–30% show rate lift on top of everything else.
Show Rate Impact
Without indoctrination: ~50–55% show rate → With full sequence: 70–80% show rate. That's the difference between 5 and 7 showed calls per day for your closer. At 30% close, that's 1.5 vs 2.1 closes/day — ₹15L more revenue per month.
Section 08
The 3 Levers You Must Pull
These three changes turn 1.2x into 2.5x+ ROAS
- Pixel Conditioning (Jeremy): Spend first ₹10–15K optimizing for "trial scheduled" or "enrolled" events, NOT just lead events. Trains Meta to find buyers, not browsers.
- Brokie Bait: Add qualifying questions to your lead form — budget, timeline, commitment level. Filters junk before you pay for them. Unqualified leads never hit your setter's calendar.
- Venus Fly Trap: Run 3 testimonial/educational videos as top-of-funnel ads first. Retarget viewers with your enrollment ad. CPL drops 30–40% because the audience is pre-warmed.
- Creative Volume: Test 10–15 new ad creatives. Jeremy says only 1–3 out of 25 get 80%+ of spend. You need to find your winners through volume.
💡 Quick Win
Venus Fly Trap alone can drop CPL by 30%. Three short videos: (1) Student transformation story, (2) Behind-the-scenes of campus, (3) "5 mistakes home bakers make." Retarget viewers with your enrollment ad.
- "Hammer Them" sequence (Section 07 above) — 15–20 touches between booking and call
- Speed-to-lead: Setter contacts within 5 minutes, not hours
- Closer voice note: Day-before personalized WhatsApp voice note from the closer
- WhatsApp Business API: Indian market equivalent of Ryan's "blue bubble SMS" — 50% response rate vs 2–4% on regular SMS
- No-show recovery: Setter calls within 15 min of no-show, rebooks within 48hrs
The Math
70% show on 280 bookings = 196 showed calls. At 55% show = only 154. That's 42 extra calls your closer gets — at 27% close rate = 11 extra closes = ₹2.09L more revenue for zero extra ad spend.
- Pre-call indoctrination turns calls into "layup deals" — prospect arrives 90% sold
- Qualification before booking: Setter confirms budget and commitment before booking the call. Don't waste closer's slots on "just exploring" leads
- Follow-up system (Launch Control): Every non-close gets tagged with a reason ("too early", "needs financing", "spouse objection") and auto-sequenced for re-engagement
- Pipeline follow-ups: Closer spends 30 min/day on 3–5 follow-up calls from prior "almost closed" leads — these close at 40%+
⚡ Ryan Clogg's Rule
If close rate hits 40%+ consistently, raise your price immediately. You're underpriced. But first, get to 27% with indoctrination and qualification.
Section 09
Weekly Scorecard
Track every Monday — diagnose before scaling
| Metric | Wk 1 | Wk 2 | Wk 3 | Wk 4 | April |
|---|---|---|---|---|---|
| Leads In | 250 | 250 | 250 | 250 | 1,000 |
| CPL | ₹500 | ₹500 | ₹500 | ₹500 | ₹500 |
| Ad Spend | ₹1.25L | ₹1.25L | ₹1.25L | ₹1.25L | ₹5L |
| Calls Booked | 70 | 70 | 70 | 70 | 280 |
| Show Rate | 70% | 70% | 70% | 70% | 70% |
| Calls Showed | 49 | 49 | 49 | 49 | 196 |
| Close Rate | 27% | 27% | 27% | 27% | 27% |
| Closes | 13 | 13 | 13 | 14 | 53 |
| Net Revenue | ₹2.47L | ₹2.47L | ₹2.47L | ₹2.66L | ₹10.07L |
| ROAS | 2x | 2x | 2x | 2.1x | 2x net |
| Cumulative Profit | ₹1.22L | ₹2.44L | ₹3.66L | ₹5.07L | ₹5.07L |
⚡ Diagnostic Protocol
Week 1 is your test week. If CPL is above ₹600 after week 1, pause and fix creative before scaling spend. If show rate is below 60%, the Hammer Them sequence isn't working — diagnose and fix before week 2. Never scale through a broken bottleneck (Jeremy).
Realistic April Outcome
At these metrics, ₹5L profit is the most likely outcome (2x net ROAS). To hit ₹10L profit, you'd need either (a) CPL of ₹300, (b) close rate of 40%+, or (c) a second closer. The ₹5L target is still a 9.4x improvement over March's ₹53K profit.
Section 10
April Action Checklist
Complete before April 1st — your progress is saved automatically
Pre-April Setup (Before April 1)
- Build Venus Fly Trap — 3 educational/testimonial video ads for top-of-funnel
- Add qualifying questions to lead form (budget, timeline, commitment)
- Set up "booked not enrolled" custom audience for retargeting
- Create 5-touch Hammer Them WhatsApp sequence (templates ready)
- Record 6 student testimonial videos for WhatsApp + retargeting
- Brief closer on "layup deal" framework — indoctrinated prospects ≠ hard sell
- Set up CRM stage logging so setter/closer track every touchpoint
- Print daily KPI sheets for setter (11 bookings/day) and closer (2 closes/day)
Week 1 (April 1–7) — Test & Validate
- Launch Venus Fly Trap ads — ₹15K spend on educational videos
- Launch retargeting ads to video viewers — enrollment CTA
- Setter contacts every new lead within 5 minutes
- Implement full Hammer Them sequence on every booking
- Friday review: Check CPL, show rate, close rate — diagnose before Week 2
Weeks 2–4 (April 8–30) — Scale What Works
- Scale winning ad creatives — kill losers after ₹2K spend with no results
- Add 5 new ad creatives per week (find the 1–3 winners from each batch)
- Closer implements Launch Control — tag every non-close with reason
- Closer does 30 min/day follow-up calls on "almost closed" pipeline
- Weekly Monday scorecard review — adjust spend based on SPB
- If close rate hits 35%+ by Week 3, consider raising price or adding upsell
- End-of-month: Calculate actual ROAS, profit, and plan May scaling
Key Frameworks Used
This playbook synthesizes two proven scaling systems:
- Jeremy Haynes — Venus Fly Trap, Pixel Conditioning, Brokie Bait, Hammer Them, Propaganda Content, Launch Control. 40+ businesses scaled to $1M+/month.
- Ryan Clogg — SPB metric, VSSL funnel, setter/closer architecture, show rate systems, Value Vortex. $79M+ cash collected at WarriorBabe.
Generated for Truffle Nation Online Pipeline — April 2026