Analytics & CRO · Service
CRO & UX Research
Earning traffic is half; converting it is the real work.
CRO & UX research is the discipline of finding out why visitors do not convert and fixing it with evidence instead of opinion. As a CRO agency we combine GA4 data with heatmaps, session replay, user testing and form analytics, turn the findings into a prioritized hypothesis backlog, and run A/B tests only where traffic can support a valid result. Where it cannot, we ship research-led changes and measure them. CRO is not a project; it is a muscle.
How we work
/01 · Definition
What is conversion rate optimization (CRO)?
Conversion rate optimization (CRO) is the practice of increasing the share of visitors who complete a valuable action, such as a lead form, booking or purchase, by researching how people actually use a site and changing it on that evidence. It combines quantitative analysis (GA4 funnels, form analytics) with qualitative research (heatmaps, session replay, user testing, surveys), hypothesis prioritization and controlled experiments such as A/B tests. UX research is the part that explains the why behind the numbers.
Most sites have a conversion problem before a traffic problem, and it makes every channel look expensive. Paid, organic and social visits land on the same pages, so one leaking form hurts Google Ads, SEO and social advertising at once. Changing a button colour because someone liked it is a guess; seeing in replay that visitors tap a non-clickable image, then testing a fix, is a hypothesis.
/02 · Who it is for
Who CRO & UX research is for
Lead-generation businesses with paid traffic
Clinics, B2B services and SaaS companies whose paid traffic lands on pages nobody has studied; better pages lower the cost of every lead.
E-commerce stores with checkout drop-off
Add-to-cart, shipping, payment or account steps that lose buyers for reasons GA4 counts but cannot explain.
SaaS and subscription products
Sign-up, trial and demo flows where small friction compounds into a long sales cycle.
/03 · Problems we solve
Problems we solve
Traffic without conversions
Visits grow, leads or orders do not; the site is measured by sessions, not by what people do after arriving.
Redesigns by opinion
Pages change because a stakeholder preferred a layout, and nobody can say afterwards whether it helped.
A/B tests that never conclude
Tests on low-traffic pages, stopped when a line looks promising, produce winners that vanish once rolled out.
Mobile converting worse than desktop
Most visits are on phones, yet the page was signed off on a laptop.
/04 · Comparison
Research methods: what each one answers
| Method | What it answers | When we use it | Tool |
|---|---|---|---|
| Heatmaps (click, scroll, move) | Where attention goes, how far people scroll, what is mistaken for a link | First week; after layout changes | Microsoft Clarity, Hotjar |
| Session replay | How individual visitors move: rage clicks, dead clicks, errors | When a step leaks and numbers cannot say why | Microsoft Clarity, with personal-data masking |
| User testing (moderated or unmoderated) | Whether people understand the offer and can complete the task | Before major changes; low-traffic sites | Maze, Lookback, remote sessions |
| Form analytics | Which field is abandoned, time per field, which errors cause drop-off | Any lead form, booking or checkout | Clarity and Hotjar form reports, GA4 events |
| Surveys and on-site polls | Why visitors hesitate, what was missing, objections in their words | After a conversion; on exit intent | Hotjar surveys, Typeform |
| GA4 funnels and path exploration | Where users drop by device, source and landing page | Always; the quantitative baseline | GA4 explorations, BigQuery export |
From findings to hypotheses: ICE and PIE prioritization
A research sprint produces more observations than a team can act on, so each is written as a testable hypothesis: because we observed X, changing Y for audience Z should move metric M. A hypothesis without an observation behind it goes to the bottom of the backlog.
We score the backlog with ICE (impact, confidence, ease) or PIE (potential, importance, ease). Impact comes from the page's traffic and conversion value, confidence from how many methods pointed at the same problem, ease from your build capacity. The scores are rough by design; they make the order of work defensible and keep the loudest opinion from choosing the next test. Lost tests re-score the backlog too; they often disprove a whole family of hypotheses.
Experiment design: significance, sample size and duration, honestly
An A/B test answers one question: is the difference between variants unlikely to be chance? Before a test starts we fix the primary metric, the conventional 95 percent confidence level, the statistical power we accept (usually 80 percent) and the minimum detectable effect, the smallest improvement worth building. Together these give the sample size: conversions, not visits, per variant. Smaller effects need far more conversions than teams assume.
Duration follows from the sample size and the business cycle: whole weeks, usually two to four, so weekdays and weekends are both represented. We do not stop early because a line looks promising; stopping on a good day is the most common way to ship a winner that does not exist. Overlong tests blur instead, as cookie churn, campaigns and seasonality creep in.
When the calculation says a valid test would take many months, we do not run it. Low-traffic pages get research-led changes: problems that replay and user testing show unambiguously are fixed, shipped and measured before and after in GA4, same segments, seasonality in mind. With some traffic we test bigger changes, pool pages sharing a template, or start with the busiest funnel step.
Landing pages and forms
Landing pages are where CRO and paid media meet. The first screen must repeat the promise of the ad that brought the visitor (message match), say who the offer is for, and make the next step obvious on a phone. We work from the Google Ads and social advertising campaign structure, so variants align with ad groups and audiences.
Forms are the most common leak and the easiest to measure. Form analytics shows which field people abandon; replay shows why: a date picker that fails on iOS, a phone field that rejects local formats, a misplaced error message. Typical fixes: fewer fields, inline validation, the right mobile keyboard, a visible privacy note and, for clinics in Türkiye and MENA, a WhatsApp or call option beside the form.
Accessibility and speed are conversion factors
A slow or hard-to-operate page converts worse before any persuasion is involved. Google documents Core Web Vitals (LCP, INP and CLS) as page-experience signals (Google Search Central), and visitors feel the same things: a late hero, a slow button, a layout that shifts under the thumb. Accessibility works the same way: sufficient contrast, visible focus states, labelled fields and thumb-sized tap targets help every visitor and remove errors replay otherwise shows as abandoned forms. Speed fixes go to the technical SEO work, so both disciplines gain.
/09 · Method and process
How a CRO engagement runs
A fixed research phase, then a cycle repeated weekly with a monthly log.
- 01
Measurement audit and baseline
We check that GA4 events, conversion definitions and consent handling are reliable enough to judge a test, fix the gaps, and record baseline conversion rates per device, source and landing page. Without this, every later result is an opinion with a chart.
- 02
Research sprint
Over one to two weeks we install heatmaps and session replay, review funnel and form data, run user tests on the key journeys and, where useful, a short survey. Findings are written as observations with evidence attached.
- 03
Hypothesis backlog and prioritization
Observations become hypotheses scored with ICE or PIE. The sample-size calculation decides which can be tested and which must ship as research-led changes, and the backlog is agreed with your team first.
- 04
Build and QA
We write the specification for each variant or change; your team, or the testing tool's editor, builds it. Before launch we QA for flicker, tracking, mobile behaviour and SEO safety.
- 05
Run, decide and document
Tests run for their planned duration without peeking. We report each result with its confidence interval, segment differences and a decision: roll out, discard or re-test. Every test enters the experiment log, and the cycle restarts.
/10 · Tools and platforms
Tools we work with
Microsoft Clarity and Hotjar
Heatmaps, session replay, rage-click detection, form reports and surveys, personal data masked.
GA4 and Google Tag Manager
Event design, funnels and conversion definitions: the source of truth for every test metric.
A/B testing platforms
VWO, Optimizely, AB Tasty or the open-source GrowthBook; server-side where flicker matters.
User-testing tools
Maze and Lookback, or remote sessions we run ourselves.
PageSpeed Insights and Lighthouse
Core Web Vitals field and lab data for each sprint's speed review.
/11 · Measurement and KPIs
How we measure CRO
Per page and per segment; a site-wide rate hides every real change.
- Conversion
Conversion rate per landing page, device and source
The primary metric, read against the audit baseline.
- Funnel
Micro-conversions along the funnel
Form starts, field completions, add-to-cart and CTA clicks, visible before the final conversion.
- Learning
Experiment velocity and learning rate
Tests concluded per month and the share that produced a decision, including losses.
- Quality
Lead and order quality
Qualified leads or repeat orders from your CRM, so a change does not win on volume and lose on fit.
/12 · Common challenges
Common challenges in CRO programmes
Not enough traffic
The most frequent limit. The honest answer is research-led changes and sequential measurement, not tests that cannot conclude.
Tracking gaps and consent loss
Missing events, duplicated conversions or declined cookies distort a test; the audit catches them first, and consent follows Google's Consent Mode guidance (Google Ads Help).
The highest-paid opinion
Stakeholders who want their idea shipped untested. The backlog score and experiment log make the conversation about evidence, not rank.
/13 · Strategic considerations
Before you start
Which pages first
Rank pages by traffic multiplied by conversion value; one high-intent landing page outweighs ten blog posts.
Test it, or just fix it
Obvious defects such as a broken field need no A/B test. Fix them, note the date, keep tests for real uncertainty.
Privacy and recordings
Replay and form analytics must mask personal data and respect consent under KVKK and GDPR; we configure masking first.
Build capacity
A backlog moves only as fast as the team building variants; we size the programme to your capacity.
How SEO Evaluate approaches CRO, and how it coexists with SEO
Every programme starts with a measurement audit; a test judged on unreliable data is worse than no test. Research precedes hypotheses, hypotheses precede tests, and the sample-size calculation sits in every experiment plan so nobody is surprised by a test that cannot conclude. How many tests run at once depends on your traffic and build capacity, not a template.
CRO and SEO do not conflict when tests run the way Google describes (Google Search Central): variants on the same URL or a rel=canonical from the variant to the original, 302 redirects for redirect tests, nothing shown to crawlers that users do not see, and tests ended once they conclude. We keep the H1, core content and internal links stable unless they are the subject of the test. A page that answers the question clearly, loads fast and is easy to act on is what search engines reward and what converts.
/15 · Relevant industries
Industries where CRO pays back fastest
Clinics and health tourism
Consultation forms, WhatsApp handoffs and trust signals tested in several languages.
E-commerce
Product, cart and checkout steps with the highest traffic and the clearest money metric.
SaaS and B2B
Sign-up, trial and demo flows where lead quality matters as much as volume.
B2B industrial marketing and SEO for manufacturers
B2B industrial marketing for manufacturers: product and specification pages, RFQ-focused Google Ads, export-market SEO, and tracking from inquiry to order.
/16 · Frequently asked questions
CRO & UX research: frequently asked questions
What does a CRO agency actually do?
It researches why visitors leave without converting, turns the findings into prioritized hypotheses, and either tests them with A/B experiments or, when traffic is too low, ships research-led changes and measures them. It covers analytics setup, research, specifications and an experiment log.
How much traffic do I need for A/B tests?
It depends on your conversion rate and the smallest improvement worth detecting, so we calculate it per test. Sample size is counted in conversions per variant, typically hundreds, not visits. If reaching it would take many months, we use research-led changes instead.
What do heatmaps show, and what do they miss?
Heatmaps show where attention concentrates, how far visitors scroll, and which elements people try to click. They do not show intent or confusion; for that we use session replay and user testing. A heatmap starts a hypothesis; it never concludes one.
How long until we see results?
The measurement audit and research sprint take two to four weeks; the first tests or changes follow immediately, and each test runs two to four weeks. Improvement compounds as the programme continues, which is why CRO is an ongoing cadence, not a one-off project.
Does CRO conflict with SEO?
Not when experiments follow Google's guidance: test on the same URL or canonicalize variants to the original, use 302 redirects for redirect tests, show crawlers what users see, and end tests when they conclude. Core content stays stable unless it is the subject of the test.
My site is too small to test. Can you still help?
Yes. Session replay, user testing and form analytics work at any traffic level, and most problems on small sites are visible without a test. We fix them as research-led changes, measure before and after, and reserve A/B tests for pages that can support them.
Which tools do you use, and who builds the variants?
Microsoft Clarity for heatmaps and replay, GA4 and Tag Manager for measurement, VWO, Optimizely, AB Tasty or GrowthBook for experiments, Maze or Lookback for user testing. Variants are built in the testing tool or by your team against our specification; we QA them before launch. We do not build websites.
/17 · Supporting resources
Related services and resources
- Analytics and dataThe GA4 setup every CRO measurement depends on.
- Google Ads managementPaid traffic whose landing pages CRO improves.
- Social media advertisingCampaign and audience structure variants align with.
- Technical SEOCore Web Vitals fixes that serve speed and conversion.
- Content marketing and SEO contentPage content that answers the question before the form.
- ContactRequest a measurement audit.
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