Don't bet. SafeBet.
SafeBets Acquisition Strategy — The Plan & The Numbers
From ad spend to users to investors
Two campaign tracks in parallel: investor acquisition (primary — the Pre-IPO raise) and user acquisition for the platform. The model below is built on the real numbers from your prior raise, and a content & authority-distribution layer sits under both — capturing the 80%+ who research before they act.
The Strategy
Two funnels, one trust engine
Track 1 · Investor acquisition — primary
Reach + clickTargeted ad · CPC $2–5
→
Landing pageInvest page · a % start
→
6-step applicationEligibility → amount → form
→
PaymentSigns for an amount
→
Funded investorCapital raised
The 6-step application (Location → Eligibility → Personal Data → Application → Payment → Complete) is tracked stage by stage, so we see exactly where prospects drop off and fix it, and we retarget the drop-offs at every stage. The calculator below models the overall result; the per-step data is how we diagnose and improve it.
Track 2 · User acquisition
ClickConsumer ad — "predict the future"
→
Landing pageLands on the offer page
→
RegisterA % convert on the page
→
Active predictorEngaged, returning user
→
% → Track 1A share become investor prospects
Retargeting runs across both funnels, re-engaging drop-offs at every stage, while a content layer builds the trust that captures the 80%+ who research before acting: predictor · investor · both
Campaign architecture
Organized by channel & funnel stage — the structure we've run before
LinkedIn — investor-led
TOFUBrand awareness — video & image
MOFUWebsite visits · engagement · video views
BOFULead-gen forms · website conversions
Google / YouTube
TOFUTrueView discovery · video action
MOFUDiscovery / display
BOFUSearch · smart display
Meta + multi-channel — users
BOFULead generation · conversions
USERSLower-cost user acquisition (not LinkedIn)
+Native lead forms (LinkedIn · Meta · Google)
Retargeting runs across every channel (MOFU/BOFU) to re-engage visitors and funnel drop-offs. Prior cost per investor by channel, your estimates: LinkedIn ~$1,350 · Google ~$965 · Meta ~$4,500.
Measurement
Multi-source attribution — the aggregate is the accurate number
Ad libraries
Competitor + our own creative truth, straight from the platforms
Independent trackers
Several tracking sources run in parallel — none relied on alone
Platform + server-side
Analytics + conversion APIs + native lead forms across every channel
Reconciled
No single tool fully agrees — the aggregate is the clearest, most accurate read
Every investor tied back to channel & creative → true cost-per-investor and ROAS. No single source is trusted on its own; the reconciled aggregate is what we optimize on.
The model · investor flow
Ad spend → investors → capital raised
Investor inputs
Monthly investor ad spend$100,000
Blended cost per click$4.00
Alex's target: $2–3 awareness · $3–5 conversion
Click-through rate (CTR)0.40%
Drives impressions & CPM
6-STEP APPLICATION FUNNEL — set each stage
Click → starts application1.4%
1 Location → 2 Eligibility65%
2 Eligibility → 3 Personal data75%
3 Personal data → 4 Application80%
4 Application → 5 Payment35%
5 Payment → 6 Funded80%
Investment mix → avg ticket$12,000
$10K90%
$25K8%
$50K2%
$100K0%
$250K0%
$1M0%
Drag the mix — most cluster at the $10K floor; a few large checks pull the average up. $10K is the SafeBets minimum.
◆ Investor funnel — number · rate / mo
Impressions6,250,000
Clicks25,000 · 0.40% CTR
Leads · started (1 Location)350 · $286 CPL
2 Eligibility227 · 65%
3 Personal data171 · 75%
4 Application136 · 80%
5 Payment48 · 35%
6 Funded investors38 · 80%
Capital raised$458,640
ROAS (capital ÷ spend)4.6×
CPM$16
Cost per investor$2,616
The model · user acquisition
Ad spend → registered users → user-acquisition ROI
User inputs
Monthly user ad spend$50,000
Blended cost per click$1.50
Multi-channel runs cheaper than LinkedIn for users
Click-through rate (CTR)0.60%
Drives impressions & CPM
USER FUNNEL — set each stage
Click → landing page85%
Landing → register22%
Register → active predictor60%
Active user → investor0.20%
Share of platform users who become investors — this drives the value per user below
◆ User funnel — number · rate / mo
Impressions5,555,555
Clicks33,333 · 0.60% CTR
Landing page28,333 · 85%
Registered users6,233 · 22%
Active predictors3,740 · 60%
Cost per active user$13
Value per active user (computed)$24
Capital from users / mo$89,760
CPM$9
User-acquisition ROI1.8×
The multiplier · content & distribution
Add the content engine — the upside is a range, and it can be significant
Conversion lift from content & distribution (conservative → aggressive)30%
◆ Investor flow — added
More funded investors / mo+11
More capital / mo+$135,000
New ROAS5.9×
◆ User acquisition — added
More users / mo+1,800
Cost per user drops to$6
Same ad budget✓
This is the conservative end. Owned content compounds and returns roughly 10–50× on its own spend; by owning the research journey it can lift paid conversion from a meaningful % up to doubling results or more. Drag the slider to model conservative vs. aggressive — illustrative, calibrated to SafeBets once live.
Proven together
Not theory. We've done this before.
$12M → $50M
LinkedIn ad spend → capital raised (~4.2×) — confirmed by Alex
~$17M → ~$75M
blended total spend → raised across LinkedIn + Google/YouTube + Meta (~4.4×)
Prepared by EVM LLC for SafeBets
Illustrative model — calibrated to SafeBets' actuals in week 1. EVM is paid on ad spend (10%), never on capital raised. Educational content only.