Funnel diagnostic
Drop-off analysis using GA4, heatmaps, session recordings, and CRM stage data. Every leak is quantified before a fix is proposed.
Traffic is rarely the problem. Most businesses lose revenue between the first impression and the signed contract. We redesign every touchpoint in that gap.
Conversion architecture starts with a diagnostic. We find where the funnel leaks, why it leaks, and what it would take to fix it — before anything is built or rewritten.
The funnel becomes legible. The business can see exactly where leads drop off, at which stage, and for what reason — and every change made from that point is testable and attributable to pipeline impact.
Sales and marketing stop arguing about lead quality because the qualification logic is explicit and consistent. The handoff between a marketing touch and a sales conversation is designed, not assumed. Decisions about spend and effort are made with data, not gut feel.
Drop-off analysis using GA4, heatmaps, session recordings, and CRM stage data. Every leak is quantified before a fix is proposed.
Conversion-focused pages per campaign, segment, or offer. Copy and structure built against your message architecture and ICP psychology — not generic templates.
Nurture, onboarding, re-engagement, and sales sequences. Each email written to advance a decision at the right stage, not fill a calendar.
Packaging and pricing review. We identify where your offer creates friction and restructure it around how buyers in your segment actually make decisions.
Conversion tracking is implemented via GTM with a clean, documented event taxonomy. Form submissions, CTA clicks, scroll depth, and video engagement are tracked as named events — not pageviews. CRM stage transitions are mapped to funnel events so pipeline velocity is measurable, not estimated. All tracking is server-side where signal reliability warrants it.
// GTM event taxonomy — conversion layer
window.dataLayer = window.dataLayer || [];
// CTA interaction
dataLayer.push({
event: "cta_click",
cta_label: "Start a brief",
cta_location: "hero",
page_section: "svc-hero"
});
// Form submit → CRM stage: MQL
dataLayer.push({
event: "form_submit",
form_id: "contact-brief",
crm_stage: "MQL",
segment: "enterprise"
});
// Scroll depth milestone
dataLayer.push({
event: "scroll_depth",
depth_pct: 75,
content_type: "service-page"
});
Conversion problems look different across sales motions. The diagnostic finds the specific leak — the architecture fixes it.
The drop-off was not in the funnel top — it was at the trial activation step. Redesigned the onboarding email sequence and in-app prompts against the activation moment. Trial-to-paid rate improved by 34% in 60 days.
Win/loss analysis showed 60% of losses happened between first meeting and proposal review. Redesigned the proposal format, added a pre-proposal email sequence, and scripted the review conversation. Win rate from proposal to close improved by 22%.
The abandonment was in checkout — but the cause was trust, not UX. Added proof elements, restructured the guarantee language, and added a behavioural abandon sequence. Recovered revenue increased by 28% within the first month.
Conversion architecture is most effective when fed by a strong acquisition system and grounded in a clear market thesis.