I am Oleksandr Filyuk, 15+ years and 130+ projects. I lift conversion for Ivano-Frankivsk businesses through A/B tests, GA4/Hotjar/Mixpanel analytics, AARRR funnel work and UX fixes. Fewer drop-offs, higher ROI, predictable LTV — without increasing the budget.
Tell me about your website, current conversion, and business goals — I'll prepare a preliminary analysis
I'll analyze your site and show the main customer drop-off points with growth potential estimate
We implement changes, test hypotheses, and record measurable growth in your metrics
I increase your website conversion based on data and testing
Comparative testing of page variants, buttons, texts and forms to determine the best performer.
Improving landing page conversion: headlines, CTAs, structure, social proof.
Analysis and elimination of customer drop-off points at every stage from first visit to purchase.
Improving website or app usability based on user behavior data.
Reducing form abandonment rate: simplification, validation, progress bar, autofill.
Heatmaps, session recordings, scroll-maps to understand how users interact with the site.
I analyze current conversion metrics, sales funnel, traffic sources, and user behavior to establish a baseline.
I study heatmaps, session recordings, scroll maps, and click analytics to understand real interaction patterns.
Based on data, I create a prioritized list of conversion improvement hypotheses, estimating each one's potential impact.
I develop alternative versions of pages and interface elements to test the formed hypotheses.
I run controlled A/B tests with statistically significant samples to verify each hypothesis.
I implement winning variants, analyze results, and launch a new optimization cycle for continuous growth.
Choose the optimal package for your project
One-time 2-hour session
$300$400What's included:
Comprehensive analysis in 1 week
$800$1000What's included:
1 month collaboration
$2000$2500What's included:
Answers to the most popular questions
Comparison with other options
| Me | Other consultants | |
|---|---|---|
| What we optimize | The AARRR funnel from CTR to LTV | The Buy button only |
| Tools | GA4, Hotjar, Mixpanel, Amplitude, FullStory | Just Google Analytics Universal |
| Tests | A/B with statistically correct sample-size and MDE | We changed it — it got better |
| Hypothesis depth | Backlog of 30-60 hypotheses, RICE/ICE priority | 5-10 ideas from blog posts |
| Reporting | Live dashboard with ROI, MRR, LTV/CAC | Monthly PDF |
Ivano-Frankivsk, a city of about 238 thousand on the Bystrytsia River in the Carpathian foothills, is the logistical and digital gateway to the Carpathians. From Bukovel and Yaremche to Rynok Square and the Potocki Palace, thousands of businesses pay for traffic every day: hotels, restaurants, ski brands, tourism SaaS, agritech wineries, retail. The issue is that 60-90% of this traffic does not convert because of UX pains, slow speed, mis-configured analytics, and the absence of systematic A/B tests.
Across 15+ years and 130+ product projects I have lifted conversion of DTC brands, B2B SaaS, marketplaces and HoReCa by 20-150%. That means direct revenue uplift without increasing Google Ads or Meta spend. For Ivano-Frankivsk businesses this is often the only way to scale in a competitive environment without aggressive budget expansion.
I start with an AARRR funnel audit. I validate GA4 (events, attribution, consent mode), data quality in Mixpanel or Amplitude, the configuration of Hotjar and FullStory. If analytics lies, no test is meaningful. Only when the data is clean do I move forward.
Next is the qualitative research block. I review 30-50 sessions in Hotjar/FullStory, heatmaps, scroll maps, form analytics. I run 5-8 user interviews and 3 with the support team. I gather reviews, complaints, recurring questions. This delivers a qualitative understanding of pains invisible in GA4.
Hypotheses and prioritization. I merge quantitative and qualitative data into a backlog of 30-60 hypotheses. Each has a clear structure: problem, expected effect, success metric, MDE, complexity. I prioritize via ICE (early stage) or RICE (mature product). The backlog is alive and updated weekly.
Experiments. I run A/B tests through VWO, Optimizely, Convert or custom GTM. I size samples: alpha 0.05, power 0.8. I control multiple testing via Bonferroni or sequential testing. I monitor not only the primary metric but secondary ones to avoid a local optimum that lowers LTV.
Dashboard and reporting. All results aggregate in a live dashboard with ROI, MRR, ARR, churn, LTV/CAC, payback period, conversion per AARRR stage. The team and the owner see progress in real time.
Carpathian tourism booking. Hotel and chalet sites in Bukovel, Yaremche, Vorokhta often suffer from slow filters, hidden pricing, weak trust signals. I rewrite the date-picker UX, add transparent pricing with taxes, integrate trust blocks (reviews, photos, cancellation), optimize the mobile checkout. Booking conversion grows 25-60% in 2-3 months.
Carpathian ski DTC brands. Gear, apparel and accessory brands. For them I optimize PDP (360 photos, unboxing video, size guide, UGC reviews), PLP (filters, smart sorting), checkout (guest order, Apple/Google Pay, minimal fields). I plug in Mixpanel for return cohorts and LTV. AOV grows 10-25%, repeat purchases 15-40%.
Ivano-Frankivsk HoReCa. Restaurants, cafes, hotels on Nezalezhnosti Street, Rynok Square, near Lake Horodske and the Potocki Palace. Here I work on online table booking, delivery, loyalty, Google Business Profile, mobile speed. Lighthouse is often < 40 and rises above 80 after optimization, lifting conversion several-fold.
Tourism SaaS expanding to Europe. Booking platforms, guide marketplaces, gear rentals. For them multilingual UX, multi-currency pricing, Booking.com/Expedia integration, and GA4 with cross-domain tracking are critical. I build per-country (Poland, Slovakia, Czechia) conversion segmentation and optimize each market separately.
First — a broken mobile experience. 70-85% of traffic comes from mobile while forms, navigation and checkout are built for desktop. Second — slow loading: heavy images, missing lazy-load, unoptimized scripts. Third — missing trust signals: no reviews, guarantees, return info, contacts. Fourth — broken GA4 events: you cannot see where conversion leaks. Fifth — a checkout with 5+ fields instead of 2-3. Fixing these five pains often delivers +15-30% conversion within a week, before any A/B test launches.
In 2025-2026 the cost of traffic on Google Ads and Meta has risen, retargeting effectiveness has dropped due to iOS privacy, and AI competition makes organic traffic more expensive. Businesses that do not optimize conversion lose market share. Those who build systematic CRO gain a margin advantage: the same revenue at lower CAC, predictable LTV, better cash flow. If you want a full 360 view, start with product strategy and a UX audit — this is the foundation on which CRO delivers maximum ROI.