Heatseak scans 11 discovery channels, scores behavioral intent from public signals, and delivers owner-direct phone numbers. Your ads bring them in. Our engine tells you who's ready to buy this week.
Your business model: run ads, get people to book a call, sell that lead to a company. The quality of the lead determines the price you can charge. Heatseak makes every lead worth 3-5x more.
A cold lead from an ad costs $5-15 to acquire. A Heatseak-enriched lead with owner name, direct mobile, intent score, and AI sales brief sells for $25-75. That's 3-5x markup on every lead you already generate. The engine doesn't replace your ads. It makes every lead your ads produce worth dramatically more.
The math: Same ad spend, but every lead is now worth 2-3x because it comes with the owner's direct number + a personalized sales script + behavioral intent data. Your clients pay more because their close rate doubles. Your margin expands because clipper leads cost less than ads.
Plug in your real ad spend, your conversion rates, and your lead price. The calculator shows what Heatseak adds to your bottom line.
Heatseak doesn't change your ad spend. It increases the VALUE of every lead your ads produce by enriching them with intent data, owner-direct phones, and AI-generated sales scripts. The uplift slider represents: better call-to-close rate (because you're calling the RIGHT person at the RIGHT time with the RIGHT script). At 40% uplift, Heatseak adds $1,968 to your monthly bottom line on a $5,000 ad budget.
We pay clippers (content creators) to make short-form videos about Heatseak. Real data from our clipper manager. The $125/video payout cap means viral outliers cost NOTHING extra.
Normal video: 200K views, costs ~$60-100. Fine, expected.
Viral video: 5M views, would cost $1,500 at rate... but cap kicks in at $125. You pay $125 for 5M views = $0.025/1K.
The cap creates unlimited asymmetric upside. Every viral video is pure profit from view 500K onward.
Apollo finds companies. Clay enriches contacts. Nobody else finds the CONSUMER at the exact moment they need a service. 13 search strategies across 10+ platforms. Quality-scored 0-100. Sorted best-first.
The engine understands you're looking for CONSUMERS, not companies. It launches 13 parallel search strategies and returns real people expressing a real need, ranked by urgency and quality.
Each of these people is a $25-75 lead the moment you connect them with JC's pest control client. Apollo can't find them. Clay can't find them. Google Ads would charge $15-30 to reach them via paid targeting. We found them for $0.18 each (API cost).
| Vertical | Location | Consumer leads | Strategies fired |
|---|---|---|---|
| Pest control | Miami | 20+ | 10/13 |
| Roofing | Dallas | 19 | 9/13 |
| HVAC | Phoenix | 21 | 7/13 |
| Plumbing | Chicago | 16 | 7/13 |
| Dental | Los Angeles | 16 | 10/13 |
| Auto repair | Houston | 11 | 9/13 |
This is not a database lookup. It's a multi-layer intelligence engine that discovers, enriches, scores, identifies, and arms you with actionable outreach — all from a single prompt.
One prompt triggers up to 16 parallel discovery paths. The engine auto-detects whether you want businesses, people, or consumers — and routes to the right channels.
Every discovered lead runs through a 12-step enrichment waterfall. If step 1 misses, step 2 catches. If step 2 misses, step 3 catches. No lead left incomplete.
Every lead is passively scored across 5 behavioral dimensions. No engagement needed. We score them BEFORE they know we exist.
Not just "a phone number." The OWNER's phone. By name. Mobile vs landline classified.
Every lead comes with a ready-to-use outreach package. No research needed. Call or send immediately.
Apollo queries its own database. Heatseak queries Google Maps, Apollo, Reddit, web intelligence, behavioral signals, and 6 more channels simultaneously. If one channel misses, another catches. Tested live: 61% hit rate on Slovenian SMBs where Apollo returns 0%.
Every lead gets a 5-layer behavioral score: digital maturity, social proof, pain signals, growth signals, vulnerability. This tells you WHO is ready to buy this week, not just who fits the ICP. Apollo gives you a list. We give you the list ranked by buying probability.
1K leads: FIRE scoring heuristic works.
10K leads: ML model trains on closed-won data, outperforms rules.
100K leads: Predictive scoring becomes a moat. No competitor can replicate your training data.
1M leads: Category-defining intelligence. The data IS the product.
Phone type classification (mobile vs landline) on every lead. Owner name extraction via Gemini AI. Mobile numbers tagged as "likely owner-direct." Landline numbers paired with owner name for gatekeeper bypass. No other tool does this for non-US markets.
| Feature | Heatseak | Apollo | Clay | ZoomInfo |
|---|---|---|---|---|
| Discovery channels | 11 | 1 | 3 | 1 |
| EU/non-US SMB coverage | 61% hit rate | ~0% | ~10% | ~0% |
| Owner-direct mobile detection | Yes (phone type) | No | No | Partial |
| Behavioral intent scoring | 5-layer | No | No | Basic |
| Reddit pain-post mining | Live | No | No | No |
| AI sales brief per lead | NEPQ script | No | No | No |
| Per-signal unlock pricing | 1-5 tokens | Flat per-contact | Per-credit | Annual seat |
| Price | $49-349/mo | $49-149/mo | $149-349/mo | $15K+/yr |
Not building for VC fantasy. Building for roofers, agencies, coaches, recruiters, and lead sellers who spend $200-2,000/mo on lead data RIGHT NOW.
| Segment | Size | Willingness to pay |
|---|---|---|
| Home Services (roofing, HVAC, pest control) | 2.1M businesses | $80-400/lead |
| Lead Gen Agencies (JC's model) | 180K agencies | $500-2,000/mo tools |
| Coaches / Consultants | 1.4M solopreneurs | $29-199/mo |
| Recruiters | 350K firms | $200-1,000/mo |
| Network Marketing | 500K top earners | $20-100/mo |
Three acquisition channels. Staggered launch. Creator-led growth backed by JC's paid amplification.
| Stage | Conservative | Moderate | Optimistic |
|---|---|---|---|
| Monthly views (clippers @ real rate) | 3.5M ($1K) | 17.5M ($5K) | 35M ($10K) |
| Click-through rate | 0.08% | 0.12% | 0.18% |
| Landing page visitors | 2,800 | 21,000 | 63,000 |
| Trial signup rate | 8% | 12% | 15% |
| Monthly trials | 224 | 2,520 | 9,450 |
| Trial → Paid (21-45 days) | 6% | 10% | 14% |
| New paying users/month | 13 | 252 | 1,323 |
| Monthly churn | 12% | 8% | 5% |
| Assumption | Our number | Industry source | Why it applies to us |
|---|---|---|---|
| Clipper rate | $0.20-0.50/1K (real) | $1K/2-5M views from our clipper manager. $125/video cap. | Content is "watch me find this owner's phone" — viral-friendly demo. Cap creates asymmetric upside on viral videos. |
| CTR | 0.08% (conservative) | TikTok/Reels product demos: 0.1-0.3% (Dash Hudson 2025). Viral hooks: 0.2-0.5%. | We use 0.08% to be conservative. Our hook is inherently curiosity-driven. Industry average is higher. |
| Trial signup | 8% | B2B SaaS free trial: 3-10% (Unbounce 2024). Self-serve instant value: 8-15%. Apollo ~10%. | Free trial with tokens, no credit card. User sees demo in clip → instant value. 8% is the floor. |
| Trial → Paid | 6% | Freemium SaaS: 2-5% (OpenView 2024). Free trial (no CC): 8-12%. PLG tools: 5-15%. | Conservative for SMB audience. CC-required trial would jump to 25%+. |
| ARPU | $89/month | Apollo $79, Instantly $63, Clay $249, ZoomInfo $1,250+. SMB avg: $50-150. | Blended: Starter $49 (40%) + Pro $149 (45%) + Scale $349 (10%) + top-ups (5%). Weighted avg = $89. |
| Churn | 8-12%/mo | SMB SaaS: 3-8% (Recurly 2024). Self-serve tools: 5-12%. Year 1 products: 10-15%. | 12% year 1 (new product, SMB users). Target: below 8% by month 6 with engagement features. |
| LTV | $712/user | LTV = $89 ÷ 12.5% = 8 months × $89. Apollo ~$900, Instantly ~$500. | Conservative. Doesn't include upsells, plan upgrades, or token top-ups. |
| Gross margin | 78-85% | Apollo ~82%, ZoomInfo ~87%, Clay ~75%. SaaS median: 75%. | API cost 1-2 tokens/enrichment, charge 5-8. Factor failed lookups → blended 78%. |
| Meta Ads CAC | $200-600 | B2B SaaS Meta CAC: $150-800 (Databox 2024). SMB tools: $100-400. | Why clippers beat ads: no fatigue, no iOS tracking issues, native content, social proof built in. |
Even if multiple assumptions are off, the model holds:
| Risk | Probability | Impact | Mitigation |
|---|---|---|---|
| Low trial→paid (<3%) | Medium | High | Gate 1 kill switch at Month 3. Stop at $100K each. Pivot before burning more. |
| API provider price hikes | Medium | Medium | Multi-provider waterfall. No single dependency. Renegotiate at volume. |
| Competitor copies our engine | Low | Medium | 13-strategy consumer engine + ML scoring compound over time. First-mover wins. |
| Clipper content underperforms | Medium | Medium | Three channels. Ads + affiliates compensate. $125 cap limits downside per video. |
| Partner disagreement | Low | High | Clear domain split. Vesting + operating agreement. 4-year cliff protects all parties. |
| Total failure | Low | High | Max downside: $100K each (seed only). Gate 1 at Month 3. Working product already exists. |
Stage 1 is lead discovery. Stage 2 is the full-circle AI sales machine. Brooke handles the entire pipeline from first touch to payment collected.
AI calls leads using Gemini Live + NEPQ methodology. $0.25/min. Handles objections, qualifies interest, books the meeting. 200-400 calls/day per instance.
Multi-channel follow-up: call, SMS, email, WhatsApp. Books directly into your calendar. Follows up 5x before giving up. Handles timezone, rescheduling, reminders.
Takes the video call. Presents a personalized pitch deck. Shows the ROI calculator with client's actual numbers. Handles questions via Gemini reasoning. Closes live.
Takes the credit card on the call. Stripe checkout embedded in the presentation. Sends receipt + welcome email. Triggers onboarding flow. Zero human touchpoint from lead to payment.
| Metric | Human team (current) | Heatseak + Brooke |
|---|---|---|
| Calls per day | 50-80 per rep | 400+ per instance |
| Cost per call | $8-15 (salary + overhead) | $0.25 |
| Follow-up consistency | 2-3 touches (human fatigue) | 5+ touches (automated) |
| Booking rate | 5-8% (cold calling) | 12-18% (pre-qualified + NEPQ) |
| Monthly cost (5 reps) | $25K-40K | $3K-5K (API costs at $0.25/min) |
| Scale to 10x | Hire 50 reps = $250K-400K/mo | Spin up 10 instances = $30K-50K/mo |
Five rounds, milestone-gated. Round 1 seed: $100K Jean Claude + $100K Klemen = $200K. Each subsequent round unlocked only when milestones are hit. Disciplined capital deployment that lets every partner de-risk progressively.
Month 0-3 | Ship production Heatseak + integrate with JC's ad pipeline
GATE: 500 paying users OR 1,000 leads sold at $25+ average
Month 4-8 | Add Brooke AI cold caller + appointment setter + presenter
GATE: 3,000 users OR $100K/mo MRR from lead sales + SaaS combined
Only deployed after Phases 1-2 prove the model. Can come from JC + Klemen follow-on, new investors, or revenue reinvestment.
Month 9-14
GATE: 10,000 users, $800K MRR
Month 15-20
GATE: 25,000 users, $2M MRR
Month 21-24
TARGET: $3M+ MRR, $50-100M valuation
| Month | Users | MRR (SaaS) | Lead sales/mo | Combined | Round |
|---|---|---|---|---|---|
| 1 | 0 | $0 | $0 | $0 | Seed deployed |
| 3 | 500 | $44,500 | $10,000 | $54,500 | GATE 1 |
| 6 | 1,500 | $133,500 | $30,000 | $163,500 | Brooke deploying |
| 9 | 4,000 | $356,000 | $75,000 | $431,000 | GATE 2 |
| 12 | 10,000 | $890,000 | $150,000 | $1,040,000 | GATE 3 |
| 18 | 25,000 | $2,225,000 | $300,000 | $2,525,000 | GATE 4 |
| 24 | 40,000 | $3,560,000 | $500,000 | $4,060,000 | Series A ready |
Track record: $8.5M revenue generated for 5 clients. Kardashians campaign. Built AI systems serving multiple industries across 50+ countries.
Role: Technical product, AI engineering, platform architecture.
Track record: Slovenian Government COVID partnership. 50-country affiliate network. Matching Jean Claude's investment.
Role: Network activation, international expansion, affiliate program.
Track record: Proven ad-to-call pipeline for pest control and home services. Generates inbound calls for local companies.
Role: Ad spend, client acquisition, call infrastructure.
The app is working. The engine is live. The numbers are real.
Prepared by Luka Lah. Confidential. May 2026.