Full-Funnel Growth Diagnostic

Why Most Growth Interventions Fail

When growth stalls, the natural instinct is to pour more budget into acquisition or redesign the pricing page. For mature subscription apps and SaaS platforms, that instinct is usually wrong. Growth problems rarely live where they first appear. A sudden drop in conversion rate might not be a UI problem — it could be a poorly calibrated fraud filter blocking 12% of legitimate sign-ups. A spike in churn might not reflect product dissatisfaction; it might be a misconfigured Stripe dunning sequence retrying expired cards at the wrong cadence. A flat Performance Max campaign at $2K/day might not be over-budgeted — it might be silently demand-constrained because the conversion value being reported back to Google is first-transaction revenue instead of LTV.

The Full-Funnel Growth Diagnostic bridges the gaps between isolated departments. By analyzing the complete lifecycle — from the first ad impression to the final subscription renewal — the audit produces an accurate diagnosis of the true bottlenecks constraining revenue, not just the layer the symptom showed up in.

Who this is for

• ✓ Subscription mobile apps (iOS & Android) spending $10K+/month on acquisition with declining or stalled metrics.
• ✓ SaaS companies that have grown past product-market fit but are now seeing CAC inflate or conversion rate compress without a clear cause.
• ✓ D2C brands with chargeback signals, payment friction, or attribution mistrust spreading across the team.
• ✓ Founders or growth leaders at Series A through Series C who have specialists already — and need someone who can connect the layers between them.

The Five-Stage Diagnostic Framework

1. Awareness & Acquisition

Audit of primary acquisition channels: Google Ads (Search, App, Performance Max), Apple Search Ads (Today, Search, Product Pages tab coverage), and Meta. Bidding-strategy alignment with actual business metrics, tracking-pixel integrity, budget utilization curves, and offline-conversion-import wiring all get reviewed. Common findings include PMax campaigns reporting first-transaction value instead of LTV (capping the bidding ceiling), missing Apple Search Ads MMP attribution, and Google Ads accounts that imported the wrong GA4 conversion event.

2. Sign-Up & Onboarding Friction

Heuristic review of the auth flow, free-trial mechanics, and the sign-up fraud filter. The fraud filter is the silent killer here — most production sign-up flows have rules that block 5-15% of legitimate users alongside genuine fraud, and the team never notices because the rejected users do not file support tickets. The audit covers email-reputation gating, IP risk scoring, device fingerprinting calibration, and whether the trial-to-paid funnel mechanics are technically working as designed.

3. Purchase & Checkout Conversion

A surprising amount of revenue is lost at the payment gateway. The audit reviews the checkout experience, payment method mix (Apple Pay / Google Pay coverage, local methods for international traffic), 3DS friction tuning, and card-decline recovery cadence. Stripe Link integrations get specific scrutiny — they regularly bypass CVC/AVS checks in ways that quietly elevate fraud and decline rates. If silent rejection of valid cards is happening, this stage surfaces it with transaction-level evidence.

4. Retention & Churn Mechanics

Cohort retention curves, lifecycle trigger emails, and win-back campaigns get analyzed. The critical distinction the audit always draws: voluntary churn (users actively canceling) versus involuntary churn (failed payments). Treating them with one playbook is the most common retention error. Voluntary churn needs product, pricing, or onboarding fixes. Involuntary churn needs dunning sequence redesign, smart-retry logic, and account-updater coverage. Distinguishing them changes the intervention completely.

5. Advocacy & App Store Health

For mobile apps, the App Store and Google Play rating acts as a hard ceiling on growth — a 3.8 vs 4.5 rating differential changes paid-acquisition CPI by 30-60% in some categories. The audit diagnoses root causes of negative review spirals (release regression, pricing change, support gap, refund friction, or coordinated negative-review attacks), assesses referral and NPS loops, and flags whether the happiest users are actually driving organic growth or are silent.

Week-by-week structure

Week 1: Discovery & raw analysis

Day 1 starts with a kickoff call to align on the metric you most want to move and the symptoms the team is currently arguing about. Days 2-4 are platform-access setup and raw data extraction across all five stages. Days 5-7 are deep analysis — segment-level retention curves, attribution model validation, fraud-rule audit, payment-decline reason-code review, and ad-account structural review. The first interim findings are shared at end of week 1 so course-corrections can happen before synthesis starts.

Week 2: Synthesis, root-cause mapping & roadmap

Days 8-10 map symptoms across stages — for example, the conversion drop on the pricing page traced back to a sign-up fraud filter or a 3DS rule change three weeks earlier. Days 11-13 prioritize remediation interventions by expected revenue impact versus engineering effort. Day 14 delivers the final written roadmap, the tracking forensics report, the experiment backlog, and a final walkthrough call. No 40-page deck — the deliverables are tight, scannable, and tied to specific stage-level findings.

What you get: the artifacts

This is not a strategy deck filled with generic advice. The engagement ends with specific, production-ready artifacts:

• ✓ Prioritized Remediation Roadmap: Each intervention ranked by expected revenue impact and engineering effort, with the specific stage it addresses and the data signal that surfaced it.
• ✓ Tracking Forensics Report: Detailed breakdown of broken GTM tags, GA4 misconfigurations, duplicate transaction IDs, dataLayer bleed, broken enhanced conversions, and Consent Mode v2 misfires.
• ✓ Experiment Backlog: Documented list of A/B tests to run on pricing, onboarding, and checkout flows — with hypothesis, primary metric, and expected sample size for each.
• ✓ Risk Assessment: Current chargeback ratios benchmarked against Mastercard ECM and Visa VAMP thresholds, plus fraud-rule exposure assessment.
• ✓ Ad-Account Structural Review: Per-platform notes on bidding strategy alignment, conversion event correctness, and budget utilization curves.

Engagement structure

Fixed-scope two-week sprint. Engagements start at $3,500 for the audit. Pricing scales with the size of the ad spend, retention book, and processor volume. No hourly billing — the scope, deliverables, and timeline are defined upfront. Mutual NDA standard before commercially-sensitive discovery work. If implementation follow-through is needed afterwards, it gets scoped as a separate sprint or retainer with explicit deliverables.