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CRO & e-commerce

Where is your webshop losing money?

We don't redesign your site on gut feeling. We measure where buyers drop out, use research to understand why, and prove with tests that the fix actually earns more. Engineering-grade CRO, for webshops.

−48% order abandonment from one form restructure+€110k webshop revenue in year one (Plantart)25–35% of revenue from email in a well-built account

Growth Engineering is the business development team of Emergence Engineering. The same engineering mindset, applied to revenue.

The economics

CAC, margin, LTV: is a customer worth it?

Three numbers decide how much growth you can afford: what it costs to acquire a customer (CAC), how much margin is left on an order after product and shipping costs, and how much a customer brings over their lifetime (LTV). With the numbers of a typical shop doing ~HUF 100M a year: 1.8% conversion, a 22,000 Ft average cart.

Cost per visitor150 Ft
CAC at 1.8% conversion~8 300 Ft
Margin on the cart (40%)8 800 Ft
First-order profit~0 Ft

This is the quiet reality of most webshops: the margin on the first order just about covers the cost of acquiring the customer. Advertising alone breaks even, and profit starts with the second order. So don't stare at revenue — move two ratios: conversion divides the CAC, and repeat purchases multiply the lifetime margin.

Lifetime margin (LTGP)
8,800 → 20,200 Ft
×2.3 orders
Email flows and care: a customer orders 2.3 times on average.
CAC
8,300 → 5,000 Ft
÷1.67
At 3.0% conversion the same ad money buys more customers.
=
+15,200 Ft
profit per customer · LTGP:CAC ≈ 4:1

This is the ratio Alex Hormozi keeps coming back to as LTGP:CAC: lifetime gross profit divided by customer acquisition cost. In e-commerce, above 4:1 there's room to scale; below 3:1, growth eats the margin. And there's a bonus: once the first order's margin covers the CAC, the customer finances their own acquisition. The budget cycles back, and scaling is limited by the system, not by capital.

Rule of thumb: you want at least a 4:1 ratio and CAC paid back within six months to scale calmly. If the ratio is under 3, the answer isn't more ads, it's a higher LTV.

The process

Research, hypothesis, test, in two-week cycles

For us CRO isn't a list of tips, it's an engineering cycle. First we fix the measurement (GA4, server-side events, clean conversion points), because without it every decision is flying blind. Then the cycle drives itself:

01 Measure and auditStep-by-step funnel analysis, speed, data quality. We quantify how much revenue each step is leaking.
02 ResearchSession recordings, heatmaps, user tests, customer interviews: why people drop out, not just where.
03 HypothesizeA prioritized backlog, scored by expected impact, confidence and effort. What earns the most goes first, not what looks impressive.
04 TestWhere there's enough traffic, A/B tests. Where there isn't, controlled before/after measurement. Results documented.
↑ every cycle builds on the lessons of the previous ones, which is why it speeds up over time

A concrete example: at one client the order form had 11 fields. We moved contact details up to step one and deferred the rest, and abandonment dropped by 48%.

We don't deliver opinions. We deliver measured results.

The interventions

What we touch, and which number it moves

One team runs the whole funnel on one shared measurement system, so a lesson learned in one place shows up across the other channels too.

AreaWhich numberHow
Checkout and formsConversionFewer fields, guest checkout, payment and shipping options. For most shops this is the fastest win.
Speed and UXConversionCore Web Vitals, the mobile purchase path, product page structure. With our own developers, not a list of recommendations.
PPC and feedCACCampaign structure and feed optimization, so the same budget buys cheaper clicks and better-quality traffic.
Email flowsLTV and order valueWelcome, abandoned cart, win-back, back-in-stock: the customer you've won buys more, more often.
SEO, AIO and contentCACOrganic presence that reduces your dependence on paid channels.
The LTV engine, up close

E-commerce email automation with Klaviyo

At most webshops email brings 5–8% of revenue. In a properly built account it’s 25–35%. The difference is a segmented list, well-timed flows and clean data, not send frequency.

25–35%of webshop revenue from email
4–6 hétcore flow set live

What goes live in the first six weeks

  • Welcome series. Your new subscriber is your warmest contact, the first purchase is decided here
  • Abandoned cart & checkout. Three steps, complemented with SMS
  • Browse abandonment. Based on product-page intent
  • Post-purchase series. Usage tips, review request, cross-sell
  • Win-back. Tuned to the category’s real repurchase cycle
  • Back-in-stock & price alerts. The rarest flow to ship, yet the best-converting
Case study: Plantart

Four years, one system built

At Plantart we didn't tweak a single factor. We built the whole system, phase by phase. Here's how the four years looked.

  1. 700 M FtStarting point

    A stalled SME on a single channel

    A strong product but flat revenue. Barely measurable marketing, manual processes, growth that depended on the owner's time.

  2. Year 1

    Foundations: brand, website, measurement

    We rebuilt the brand and the website and wired up measurement, so we could see clearly where revenue was leaking for the first time.

  3. Years 2–3

    The system: webshop, CRM, automation

    The webshop, CRM and email automation came online, and acquisition launched across several channels, all on one shared measurement layer.

    +€110,000 webshop revenue in the first year
    A Plantart webshop nyitóoldala
    The Plantart webshop: just one channel of the whole system, most revenue is B2B
  4. 1,9 Mrd FtToday

    A data-driven industry leader

    The stalled SME became a HUF 1.9 billion industry leader with strong B2B and B2C revenue. No single campaign did it, the whole system did.

    3× revenue · −67% conversion cost · the full case study →
FAQ

What experienced operators ask

How much traffic do we need for A/B testing?
You need several hundred conversions per test arm per month to get reliable results in reasonable time. Below that we don't fake significance; we use controlled before/after measurement, qualitative research and bigger, unambiguous changes instead.
What stack do you work with?
GA4 and server-side measurement, Microsoft Clarity or Hotjar for session recordings and heatmaps, Klaviyo for email. Platform-independent: Shopify, WooCommerce, UNAS and custom engines alike, and we can help with a re-platform too. We've used most of the marketing tools out there and have a recommended stack for each job, but for the most part we can work with your existing infrastructure.
How soon do we see results?
The audit takes two weeks. The first fixes go live in 4–6 weeks, with measurable impact within 30–60 days. The multiplier effect builds over 3–6 months, because the factors build on each other: measurement and conversion first, then scaling traffic.
What do we need to contribute?
Access, one weekly check-in and fast decisions. You approve the strategy, we carry the heavy lifting, and we work in your own tools.
We already have a marketer or an agency. Does it still work?
Yes. We embed alongside the existing team as a senior layer: in some setups we run everything, in others they execute and we provide direction and measurement.
Let's talk

Start with an audit

In two weeks we go through your measurement, your funnel and your email foundation, and show you in numbers how much revenue each point is leaving on the table, and what fixing it would earn.

Thirty minutes, no pitch deck. If we don't see a fit, we'll tell you at the end of the call.