Vanity metrics dressed up as results
Impressions, clicks, and "leads" make reports look good. None of them pay your bills. The only verdict that matters is cost per acquired customer: and most agencies never calculate it.
CLICKS DON'T PAY INVOICESZapture Media runs Google & Meta advertising for brands that judge marketing the same way you do: by new customers, booked jobs, and profit. Not clicks. Not impressions. Not excuses.
A 14-phase diagnostic of your account. You keep the findings, whether we work together or not.
If you have ever looked at a glowing monthly report and wondered why revenue didn't move, you already know the problem. Here is where the money actually leaks.
Impressions, clicks, and "leads" make reports look good. None of them pay your bills. The only verdict that matters is cost per acquired customer: and most agencies never calculate it.
CLICKS DON'T PAY INVOICESMixing branded search with cold traffic makes weak campaigns look like winners. People who already searched your name were going to buy anyway. We separate them, always: the numbers change dramatically.
THE FLATTERING BLENDPlatform-reported ROAS routinely overstates reality. We have caught tracking failures where reported conversions silently dropped to a third of actual: while the client kept making decisions on bad data.
VERIFIED, NOT TRUSTEDMost account managers change bids and hope. Every move we make traces back to a specific data point: spend-weighted Quality Score, search-term waste, channel-level cost per customer. Diagnose first, then optimize.
NO GUESSINGShopping, Performance Max, Search, and Meta: architected so new-customer revenue grows and your blended ROAS holds.
Google Search, LSA, and value-based bidding wired to the metric that pays your bills: signed cases, booked jobs, closed deals.
Move the sliders to match your business. The model shows what your ad account produces today and what a properly engineered account could add.
Based on your spend and current blended ROAS.
Illustrative model only. The efficiency scenario reflects the range of improvement we target through account restructuring, feed optimization, and brand/non-brand separation. Actual results vary by market, margins, and starting point.
The audit shows exactly where your account sits against these numbers today.
The number your agency probably never showed you.
Illustrative model only. The improvement scenario assumes a 25% lift in qualified-lead rate: in line with outcomes we have engineered through qualified-lead bidding and search-term cleanup. Actual results vary.
Most owners have never seen this number split by channel. The audit calculates it for you.
Every account runs through the same proprietary framework: five layers, examined in order, so no metric gets to lie. It was built account by account across $100M+ in live spend: not bought in a course.
Who the ads reach: geo, audience, keywords, match types. Wrong targeting makes every downstream number lie.
How money is allocated and how the algorithm is instructed. Pacing discipline included.
What happens after the click: search-term quality, landing-page signal, on-site behavior.
The verdict layer: cost per customer, booked job, or signed case: and the tracking truth behind it.
The creative layer that ties it together: RSAs, feeds, and assets engineered for relevance.
Total cost divided by total customers: never an average of averages, never padded with junk leads.
Blending them has repeatedly made weak campaigns look like winners: until we separated them.
Platform numbers get cross-checked against reality before a single budget decision is made on them.
Spend-weighted Quality Score analysis exposes where budget quietly loses auctions and inflates your costs.
Full account architecture: keyword and match-type strategy, Quality Score remediation, negative-keyword systems, and ad-copy engineering. Judged on cost per customer, not cost per click.
Tiered Shopping structures, feed optimization, and PMax deployed deliberately: contained so it complements Search instead of cannibalizing it and taking credit for your brand traffic.
Setup, dispute management, and lead-quality scoring: plus the cross-channel math that shows whether LSA or Search is actually producing your cheapest signed business.
New-customer acquisition on Meta with attribution honesty: incrementality testing and real measurement, not platform-reported ROAS taken at face value.
The differentiator most agencies can't do: wiring signed cases, booked jobs, and new-customer profit back into the ad platforms so bidding optimizes toward revenue, not form-fills.
A standalone 14-phase diagnostic: exactly what is broken, why, what it costs you, and what to do about it. Delivered as a report, data workbook, and prioritized action plan.
A sample from 70+ brands. Some clients are named with permission; the rest are described by industry to respect confidentiality.
Rebuilt the brand campaign structure, saving ~$15,000 in wasted spend: then scaled non-brand Shopping and Search to 3x the account year over year.
Blended 4x ROAS with a true 2x non-brand ROAS: branded conversions dropped from $9 to $2 CPA while feed optimization opened new traffic.
High-AOV parts sold through feed-only Performance Max campaigns: 20x return on entirely non-brand traffic.
Plumbing, HVAC, and electrical franchises across Florida on value-based bidding: cost per qualified lead down 10% in three months.
Cut spam leads 90% with smarter forms, imported qualified leads back into Google, then bid on quality: fewer leads, far more buyers.
Tiered Shopping and PMax campaigns segmented by category-level ROAS targets delivered a $1.5M quarter.
Separated brand from non-brand and calculated true cost per signed case: LSA was producing cases at $1,100–$1,700 while Search paid $9,500–$17,500. Budget rerouted.
Feed-only Performance Max architecture sustained a 30x return: month after month, not one lucky spike.
Scaled across Google and Meta while holding a blended 5x marketing efficiency ratio: growth that survived the accounting.
Results reflect specific past engagements and are not a guarantee of future performance. Anonymized clients are described by industry only.
"Every other agency showed us dashboards. Zapture showed us our actual cost per customer, split by channel, in the first two weeks. We moved budget the same day and it paid for the entire engagement."
"We thought we had a lead problem. The audit proved we had a budget-allocation problem worth 10x on cost per case. Nobody had ever shown us that math before."
"They caught a tracking failure our previous agency ran on for months. Then they rebuilt the account around numbers we could actually verify. Night and day."
"Fewer leads, more booked jobs, lower cost per customer. Exactly what they said would happen when they moved us to qualified-lead bidding."
✕ Reports clicks, impressions, and raw leads
✕ Blends brand and non-brand to flatter the numbers
✕ Trusts platform attribution at face value
✕ Optimizes toward cost per lead
✕ "Set it and forget it" after month one
✕ Keeps you dependent on their black box
✓ Reports cost per acquired customer and profit
✓ Brand and non-brand always separated
✓ Attribution verified against reality
✓ Optimizes toward revenue and signed business
✓ Diagnostic-first: every change has a reason
✓ You own the account, the data, and the knowledge
The 14-phase diagnostic runs on your account: what works, what's broken, and what it costs you. In plain English.
Targeting, bidding, tracking, and creative rebuilt around the metric that actually pays your bills.
Continuous, data-traced optimization: every single change tied to a root cause, not a hunch.
Transparent reporting on cost per customer and profit. Never vanity metrics. Never a flattering blend.
"Most agencies optimize toward whatever number makes the monthly report look good. We were built on the opposite instinct: find the number that actually pays your bills, then engineer everything toward it."
Zapture Media is a founder-led paid-media practice with a quantitative backbone: a Management Science background, Python-driven data analysis, and an operating history spanning DTC e-commerce, law firms, home-services franchises, B2B manufacturers, and automotive brands.
The frameworks on this site were built account by account, correction by correction, in campaigns where the money was real. That discipline is the difference between "getting leads" and getting customers, booked jobs, and profit.
Still unsure? Request the audit. You'll get an honest read on whether this makes sense for your business: including "keep your current setup" if that's the truth.
Ask About My Account →Our systems produce the most value for businesses spending roughly $5,000/month or more on ads. Below that, the audit alone is usually the right starting point: it tells you whether scaling spend even makes sense yet.
A 14-phase diagnostic covering targeting, bidding, budgets, traffic behavior, tracking, and results: delivered as a written report with a prioritized action plan. You keep it whether or not we ever work together.
You do. Always. We work inside your accounts with full transparency. If we part ways, everything: campaigns, conversion data, learnings: stays with you.
Diagnostic findings arrive in the first week and often pay for themselves immediately (misrouted budget, broken tracking, wasted spend). Structural performance gains typically compound over 60–90 days as bidding data matures.
No honest operator can guarantee market demand, your close rate, or your margins. We do guarantee verified tracking, brand/non-brand honesty, and optimization toward the metric that pays your bills: with every change traceable to a reason.
Both, deliberately. The portfolio is roughly half DTC e-commerce (Shopping, PMax, Meta, feeds) and half lead generation (Search, LSA, offline conversions, franchises). The common thread is the same: measure what actually pays, then engineer toward it.
We'll run the full diagnostic on your Google or Meta account and show you: in plain English: