--- title: "Reduce CAC with Cometly" description: "Use Cometly's attribution data to cut wasted ad spend, double down on what works, and lower CAC payback — without giving up growth." source: "https://www.cometly.com/solutions/reduce-cac" --- 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. Get started ## Blended CAC · last 8 months Stripe cohorts Same spend Month CAC $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 ### 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. CPL vs cost per customer 3 ads Ad CPL C / Cust. - Founder hook v2 $30 $1,250 - Webinar replay $82 $612 - Pricing carousel $45 $2,140 Cost per lead lies · cost per customer doesn’t ### 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. Waste detector 3 flagged · 30d Ad Spend Wasted - TT · UGC v8 $840 −$840 - Meta · sale carousel $612 −$420 - GA · broad match $420 −$420 Cheap leads · zero customers · paused on day one ### 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. Kill / keep switches One-click - Ad set · UGC v8 Paused - Ad set · sale carousel Paused - Broad-match keywords Paused - Founder hook v2 Active Meta in-app · Google one click away ### 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. Optimize on the payer Match · Great State Event Code EMQ - Was Form submit lead.created 6.1 - Now New paid customer customer.paid 9.2 Algorithms train on buyers · CAC follows ### 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. Lookalike seeds Top decile LTV Audience Status - Meta · LAL 1% 1.8M reach - LinkedIn matched aud. 94% match - Google Customer Match Synced Seed from your highest-LTV customers ### 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. ROAS · real timeline Y1 · 4.1× 30d · 0.9× 90d · 2.4× Y1 · 4.1× ### 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. Velocity · lead → CW Closes 2× faster Source Velocity Days - LinkedIn 28d - Google 41d - Meta 56d - TikTok 78d Faster cycle = shorter payback period 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 spend 13% waste recaptured Where the $240K / mo is going after week 1 100% 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 Ad Spend Outcome Action - TT · UGC v8 $8,400 0 customers · 312 leads Paused - Meta · sale carousel $6,120 1 customer · 204 leads Paused - Google · broad-match $4,200 0 customers · 168 leads Paused - LinkedIn · ICP video +$12,400 Reallocated · CAC $480 Reallocated Same total spend · $48,200 recaptured in week one Blended 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 sales → How 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.