See cost per real outcome
Cost per MQL, SQL, demo-attended, and paid customer, at the campaign and single-ad level. Side by side in one view, no exports.
Solutions / Reduce CAC
Cut CAC.
Without cutting spend.
Find the campaigns producing cheap clicks but no customers. Kill them. Scale the ones producing real ARR. The waste usually shows up in week one. The structural CAC drop follows once ad platforms retrain on better signal.
Blended CAC · last 8 months
Stripe cohortsSame spend
MonthCAC$Δ
- Jan$820—
- Feb$790−4%
- Mar$760−4%
- Apr$720−5%
- May$690−4%
- Jun$660−4%
- Jul$640−3%
- Aug$612−4%
Less waste · same spend · 18% reallocated↓ $208 in 8 mo
What you actually get
Find the waste fast.
Scale the winners faster.
Stop scaling cheap leads that don't close
We've seen ads at $82 CPL drive 18 deals while $30 CPL ads drove only 10 MQLs. Cost per lead lies. Cost per qualified outcome doesn't.
Kill underperformers in one click
Spot ads with cheap leads but no customers. Toggle them off inside Cometly's Ads Manager (Meta) or jump to Google Ads with one click.
Optimize for paying customers, not clicks
Switch ad platform optimization from “form submit” to “new paid customer” or “demo attended.” Cometly's Conversion API hits Meta's “Great” match quality tier, so the algorithms train on real buyers.
Build look-alikes from your best customers
Sync your highest-LTV customers to Meta and LinkedIn as look-alike seeds. The algorithms find more of your best customers, not your noisiest leads.
See real ROAS on your real timeline
Track ROAS at 30, 60, 90 days, and year-1. Stop making month-1 budget calls on month-1 numbers that don't tell the real story.
Spot the channels that close 2x faster
Track lead-to-deal velocity per source. Reallocate budget to the channels where pipeline closes fastest, and your payback period shrinks.
Cut wasted spend on day one
Most teams claw back five figures a month in week one.
The first thing you see inside Cometly is which ads are burning money: cheap leads, zero customers. Pause them with one click, reallocate that budget to the sources actually closing deals, and your blended CAC starts dropping immediately. No new ad spend required.
Week 1 · ad spend audit
$240,000 / mo blended spend13% waste recaptured
Where the $240K / mo is going after week 1100%
Kept · winning ads ($208.9K)Reallocated to fast sources ($12.4K)Wasted before audit ($18.7K)
Cut on day one
$18,720
Spend pulled from cheap-lead, zero-customer ads
Reallocated week one
$12,400
Shifted to sources that produce paying customers
Projected annual savings
$224K
Same total spend · lower blended CAC
AdSpendOutcomeAction
TT · UGC v8$8,4000 customers · 312 leadsPaused
Meta · sale carousel$6,1201 customer · 204 leadsPaused
Google · broad-match$4,2000 customers · 168 leadsPaused
LinkedIn · ICP video+$12,400Reallocated · CAC $480Reallocated
Same total spend · $48,200 recaptured in week oneBlended CAC $820 → $612 in 8 months
FAQ
Cutting CAC with better signals, not just prettier charts.
Finding wasted spend fast, retraining algorithms on paying customers, and watching velocity by source. Book a call focused on paid efficiency.
Talk to salesHow fast can we lower CAC?
Most teams find their first big chunk of waste in week one and cut it immediately. Material CAC drops happen in 30–90 days as you shift spend and the ad platforms retrain on better data.
How does Cometly help us find the waste?
By breaking out cost per stage at the campaign and single-ad level. Most teams find a handful of campaigns producing cheap leads but zero customers, usually 10–20% of spend that can be killed today.
Will pausing low-quality ads hurt the algorithm?
The opposite. Algorithms learn from the signals you send. Cutting ads with bad downstream conversions, and sending paying-customer events instead, makes them better at finding buyers.
Can I do this without changing ad platforms?
Yes. Cometly works alongside Meta Ads Manager, Google Ads, and LinkedIn Campaign Manager. You don't have to leave any of them. Cometly just makes them work harder.
How does this affect LTV / CAC ratios?
By tracking LTV per source, you see which channels produce customers worth investing more in. Most teams find at least one channel where LTV / CAC is 5x+ and confidently scale spend there.
Stop scaling waste.
Start scaling winners.
Find the campaigns producing cheap clicks but no customers, cut them, and put the budget behind the ones producing real ARR, without touching your total spend.