Stop Flying Blind on Marketing Spend
P&L Blind Spots
Channel Profitability
MarTech Leaks
Revenue Expansion Gaps
A forensic audit that uncovers hidden waste between your ad spend, sales pipeline, and P&L—so you reallocate budget to what actually drives profit. Clients typically recover 3–5x the audit cost within 90 days.
Non-Disruptive Profit Diagnostic
We audit alongside—never replacing. We uncover waste while campaigns keep running.
21 years of forensic audits and results, since 2005.
GW1
P&L Blind Spots
Marketing Spend vs. True Revenue Flow
We trace every euro spent to actual revenue *after* refunds, COGS, and support costs—not just “attributed” clicks.
→ Uncovers broken tracking handoffs inflating CAC by 22–38% (e.g., Meta ads driving sign-ups that churn before paying).
Channel Profitability Reality Check
We calculate true P&L per channel—factoring in refunds, payment processing fees, support load, and COGS—not just “revenue generated.”
→ Reveals channels that *appear* efficient (e.g., €28 CAC) but lose €11/customer after hidden costs.
True CAC Exposure
We expose your *real* cost to acquire a paying, retained customer—not just a sign-up.
→ Identifies campaigns with “low CAC” that actually lose money due to 68%+ churn within 30 days.
LTV: CAC Profitability Threshold
We flag every campaign below the 3:1 LTV:CAC threshold required for sustainable growth.
→ Typical finding: 40–60% of “performing” campaigns actually operate at <1.5:1—bleeding cash disguised as growth.
Financial Leakage Hotspots
We isolate the 1–3 campaign clusters draining 40%+ of your budget with sub-1.0 LTV:CAC ratios.
→ Example: “Brand awareness” campaigns running broad-match keywords bidding against your own branded terms—wasting €8,400/mo.
Stop/Shift/Scale Action Plan
We deliver a prioritized list:
- STOP: 3–5 campaigns to kill immediately (€X/mo waste)
- SHIFT: Budget to move from low-LTV to high-LTV channels (€Y/mo reallocation)
- SCALE: 1–2 channels to double down on (projected +€Z/mo profit)
90-Day Waste Recovery Projection
Conservative estimate of profit recovered within 90 days of implementing our Stop/Shift/Scale plan—typically 3–5x the audit cost.
GW2
Channel Profitability
Where “top-performing” channels bleed margin due to broken funnels, not bad targeting—exposed. We isolate the exact channel-to-conversion leaks draining 31–58% of your paid budget before a single sale closes.
Paid Channel Profit Killers
We expose the disconnect between “clicks delivered” and “revenue captured” across every paid channel.
→ Typical finding: Google Ads drives 42% of sign-ups but only 18% of *paying* customers due to mismatched landing page messaging—wasting €14,200/mo on unmonetized traffic.
Traffic-to-Revenue Leakage Map
We trace where high-intent traffic abandons *after* clicking your ads—exposing broken handoffs between paid acquisition and conversion infrastructure.
→ Example: 68% of Meta traffic bounces on pricing page due to missing trust signals—costing €9,300/mo in recoverable conversions.
Funnel Friction Hotspots
We pinpoint the *one* step where 50%+ of qualified leads drop off—and why (e.g., unexpected shipping costs at checkout, missing case studies on pricing page).
→ Client result: Fixed checkout friction point → 27% lift in completed purchases without increasing ad spend.
AIO/SEO-to-Sale Conversion Gaps
We audit whether organic traffic *converts*—not just ranks. Broken site speed, missing schema, or weak CTAs turn #1 rankings into empty vanity metrics.
→ Example: Page ranked #1 for “luxury villa Mykonos” but 3.8s load time killed 54% of mobile conversions—fixing speed recovered €22,800/mo in lost bookings.
True Channel ROI (After Real Costs)
We calculate ROI after *all* costs: refunds, payment processing fees, support tickets triggered by ad promises, and COGS—not just “ad spend vs. revenue.”
→ Reveals channels with “200% ROI” that actually lose €7/customer when support load + churn are factored in.
Brand-to-Conversion Disconnect
We identify where brand messaging attracts the *wrong* audience—e.g., “luxury” positioning drawing bargain hunters who churn immediately after purchase.
→ Fix: Reframed value prop around “exclusive access” (not “premium quality”) → 34% higher LTV from same ad spend.
GW3
MarTech Leaks
Redundant Tool Tax
We identify overlapping tools draining budget while failing to talk to each other—e.g., paying for both HubSpot *and* ActiveCampaign when only one syncs to your CRM.
→ Typical finding: 2–4 tools performing identical functions, costing €1,800–€4,200/mo in wasted SaaS spend.
CRM Black Hole Exposure
We trace where marketing-sourced leads vanish *after* handoff to sales—exposing misconfigured lead routing, stale contact data, or broken scoring rules.
→ Example: 47% of “hot” leads never contacted by sales due to routing rules sending them to inactive reps—costing €28,500/mo in missed pipeline.
Post-Click Revenue Leakage
We map where customer data fractures *after* the ad click—e.g., UTM parameters stripped on thank-you page, causing 63% of conversions to register as “direct” traffic.
→ Result: You optimize “direct” traffic (wasting budget) while Google Ads—the *real* driver—gets cut for “poor ROI.” Typical leakage: 28–41% of true channel performance hidden.
False Personalization Penalty
We expose when your CDP serves stale or fragmented profiles—triggering “personalized” emails to churned customers or prospects who already bought.
→ Example: Automated “welcome series” sent to 1,240 customers who purchased 30+ days ago—triggering 22% unsubscribe rate and brand trust erosion.
Decision-Making Blind Spots
We identify where dirty data forces gut-feel decisions—e.g., “high-value segment” actually contains 38% fake/inactive emails, causing wasted €9,400/mo ad spend on unreachable audiences.
→ Fix: Purge invalid contacts + rebuild segment → 3.2x ROAS on retargeting campaigns.
90-Day Tech Triage Plan
We deliver a prioritized fix list:
- CRITICAL (Weeks 1–2): Kill 1–2 revenue-leaking gaps (e.g., fix UTM stripping → recover 28% hidden Google Ads performance)
- HIGH (Weeks 3–6): Eliminate redundant tools (€1,800–€4,200/mo SaaS savings)
- MEDIUM (Weeks 7–12): Rebuild broken automations causing false personalization
GW4
Revenue Expansion Gaps
Where 68–83% of qualified buyers purchase *only* your base offer—while your team assumes “they weren’t interested” in premium tiers. We isolate the exact touchpoints where high-intent customers slip through unmonetized—and recover €14,200–€47,800/mo in ancillary revenue already within your existing customer base.
Unmonetized High-Intent Moments
We pinpoint where customers signal premium intent but receive *no* relevant offer—e.g., guest books 7-night stay but never sees villa upgrade option at checkout.
→ Typical leak: 41% of guests who book premium dates never receive upgrade offers → €8,300/mo unclaimed revenue per property.
Segmentation Blind Spots
We expose when “high-value segments” contain inactive or mismatched customers—e.g., targeting “luxury seekers” who actually churned after one budget stay.
→ Result: €11,400/mo wasted ad spend on dead segments + missed €22,700/mo upsell revenue from *actual* high-LTV guests never targeted.
Affinity Leakage
We isolate product pairs purchased within 30 days by 62%+ of customers—but never offered as a bundle at first purchase.
→ Example: Guests who book transfers *then* book tours within 2 weeks (68% overlap). Offering bundled “arrival experience” at booking → 34% attach rate, +€14,200/mo revenue with zero new acquisition cost.
Offer Timing Failures
We expose when premium offers arrive *after* purchase decision is locked—e.g., upgrade email sent 48 hours post-booking when guest has already researched alternatives elsewhere.
→ Fix: Move upgrade offer to confirmation page + 1-hour post-booking email → 27% attach rate vs. 4% for delayed offers.
False Personalization Penalty
We identify when “personalized” offers feel generic because they ignore *actual* guest behavior—e.g., pushing spa packages to guests who booked back-to-back business meetings.
→ Result: 38% lower conversion on “personalized” offers vs. behavior-triggered ones. Fixing logic → +€9,800/mo ancillary revenue at same email volume.
90-Day Revenue Recovery Plan
We deliver a prioritized rollout:
- WEEK 1–2: Deploy 3 high-impact offers at proven leakage points (e.g., checkout upgrade prompts) → recover €4,200–€8,700/mo
- WEEK 3–6: Fix segmentation to target *actual* high-LTV guests → recover €7,300–€14,500/mo
- WEEK 7–12: Launch behavior-triggered bundles → recover €12,400–€24,600/mo
Pricing Leakage Exposure
We expose when discounting erodes margin without driving volume—e.g., 15% “early bird” discount accepted by 89% of guests who would have paid full price anyway.
→ Fix: Replace blanket discount with value-add (e.g., “free airport transfer”) → same conversion rate, +€6,300/mo recovered margin per property.
How Much Does the Audit Cost?
It depends on your operation’s complexity—but not in the way you might fear.
We price based on data sources to connect and channels to audit—not arbitrary “tiers. Audit pays for itself in 30-40 days for 92% of clients. No blind commitment required.
Fill this form or book a 20-minute scoping call. We’ll show you:
The 3–5 leakage patterns we typically find for businesses at your scale.
A realistic € recovery range for your operation.
Whether an audit makes financial sense—before we discuss pricing
Full range services with diverse markets and projects
