Conversion Optimization in Ivano-Frankivsk — More Revenue From the Same Traffic
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.
35%average conversion increase
500+A/B tests conducted
2.5xaverage optimization ROI
100+Satisfied clients worldwide
Leave a request
Tell me about your website, current conversion, and business goals — I'll prepare a preliminary analysis
Free conversion audit
I'll analyze your site and show the main customer drop-off points with growth potential estimate
Conversion growth
We implement changes, test hypotheses, and record measurable growth in your metrics
Types of Conversion Optimization
I increase your website conversion based on data and testing
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A/B testing
Comparative testing of page variants, buttons, texts and forms to determine the best performer.
📄
Landing page optimization
Improving landing page conversion: headlines, CTAs, structure, social proof.
📈
Sales funnel optimization
Analysis and elimination of customer drop-off points at every stage from first visit to purchase.
🎨
UX interface optimization
Improving website or app usability based on user behavior data.
📝
Form optimization
Reducing form abandonment rate: simplification, validation, progress bar, autofill.
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User behavior analysis
Heatmaps, session recordings, scroll-maps to understand how users interact with the site.
Work Process
1
Current Conversion Audit
I analyze current conversion metrics, sales funnel, traffic sources, and user behavior to establish a baseline.
2
User Behavior Analysis
I study heatmaps, session recordings, scroll maps, and click analytics to understand real interaction patterns.
3
Hypothesis Formation
Based on data, I create a prioritized list of conversion improvement hypotheses, estimating each one's potential impact.
4
Variant Design
I develop alternative versions of pages and interface elements to test the formed hypotheses.
5
A/B Testing
I run controlled A/B tests with statistically significant samples to verify each hypothesis.
6
Implementation & Iteration
I implement winning variants, analyze results, and launch a new optimization cycle for continuous growth.
Pricing
Choose the optimal package for your project
Basic
Express Consultation
One-time 2-hour session
$300$400What's included:
- Preliminary site/product analysis
- 2-hour video call
- Current situation analysis
- Main UX issues overview
- Basic competitor analysis (3 companies)
- Conversion improvement recommendations
- Current design assessment
- Mobile version analysis
- Page speed check
- SEO recommendations
- Sales funnel overview
- Task prioritization
- Consultation recording
- Short action checklist (PDF)
- Chat support for 7 days after consultation
Results in 1 day
Optimal
Deep Audit
Comprehensive analysis in 1 week
$800$1000What's included:
- Full UX audit of website/app
- Analytics analysis (GA4, Hotjar)
- Competitor analysis (5-7 companies)
- Target audience analysis
- User behavior research
- Step-by-step conversion funnel analysis
- Forms and CTA elements audit
- Responsiveness check on 5+ devices
- Content strategy analysis
- SEO audit (technical + content)
- Speed and Core Web Vitals analysis
- Detailed report with screenshots (PDF, 30+ pages)
- Step-by-step change roadmap
- Results presentation (2 hours)
- Prioritization by business impact
- Chat support for 14 days
- 1 additional consultation after implementation
Most popular
Premium
Strategic Partner
1 month collaboration
$2000$2500What's included:
- Everything from the Deep Audit package
- Full digital strategy development
- Product strategy and positioning
- Detailed competitor analysis (10+ companies)
- Customer Journey Map development
- Key page prototypes creation
- A/B test plan for conversion optimization
- Content marketing strategy
- Process automation recommendations
- Technical infrastructure audit
- Business model and unit economics analysis
- Presentation for team/investors
- 4 strategic sessions of 1.5 hours each
- Weekly check-ins throughout the month
- Help with specs for developers/designers
- Implementation monitoring
- Post-implementation results analysis
- Chat support for 30 days
- Priority access to future consultations
- 20% discount on my development services
Maximum results
Frequently Asked Questions
Answers to the most popular questions
Conversion optimization (CRO) is systematic work to make a larger share of your visitors complete the target action: book, buy, sign up, leave a request. It is not cosmetics but funnel engineering. If you pay for traffic (Google Ads, Meta, Telegram, SEO), every percentage point of conversion growth lowers customer acquisition cost (CAC) and raises ROI without budget increases. For an Ivano-Frankivsk business with a limited marketing budget, this is often the cheapest way to grow revenue.
I begin with a technical and analytical audit: I verify GA4, configure events, sanity-check Mixpanel/Amplitude, review sessions in Hotjar and FullStory. In parallel I run a heuristic UX review, interview 5-8 users, and gather data from support and reviews. The output is a current AARRR funnel map with numbers, a pain map, and a backlog of 30-60 hypotheses sorted by ICE or RICE. It takes 2-4 weeks. Then we launch the first 3-5 experiments and fix urgent bugs that directly leak revenue.
A baseline CRO audit is fixed-priced, agreed after a short scoping. Ongoing work is a monthly retainer, sized by the volume of tests and number of streams (for example, mobile app and web separately). First improvements show in 4-6 weeks once valid A/B tests reach sample size. A stable 20-50% conversion uplift accumulates over 3-6 months of continuous work. I always tie a part of the fee to ROI, MRR, or CAC reduction so our incentives align.
Every test starts with a hypothesis that has a variable, expected effect, success metric, and MDE (minimum detectable effect). I calculate sample size on a calculator (alpha 0.05, power 0.8) so the test has statistical power. I control multiple testing and false positives. Tests run through GTM, VWO or Optimizely depending on the stack. I track not only the primary metric (e.g., purchase conversion) but secondary ones (AOV, 7d retention) to avoid local optima that hurt LTV.
Base stack: GA4 (free), Hotjar or Microsoft Clarity (Clarity is free), Mixpanel or Amplitude (free tiers up to a volume), FullStory (paid above a threshold). For testing — Google Optimize is sunset, so I use VWO, Convert.com or Optimizely; for a cheaper start, A/B through GTM. We pick paid tools together based on traffic volume. Often you can start on free tiers and pay only after passing 100k+ sessions per month.
CRO without strategy turns into chaotic micro-changes. Strategy provides the frame: who we optimize for, which North Star we drive. UX ensures hypotheses do not break the overall experience. I recommend looking at CRO together with product strategy and a UX audit. In this bundle you get vector (strategy), funnel engineering (CRO), and the absence of UX debt that breaks both.
Yes, but differently. On low traffic, classic A/B tests can run for months, so I switch to qualitative methods: deep UX interviews, usability tests, mirror redesigns of critical pages with month-over-month before/after, multi-armed bandit instead of classic A/B. I also work with micro-conversions (newsletter signup, add-to-cart) to gather statistics faster. Low traffic is not a verdict, just a different methodology.
ROI = (incremental revenue − CRO cost) / CRO cost. I compute incremental revenue as conversion uplift × AOV × number of sessions, accounting for seasonality. The report includes: list of tests run, statistical results (lift, p-value, confidence interval), impact on North Star, MRR/ARR, LTV/CAC, churn. A separate section lists fixed bugs and UX fixes whose effect often exceeds A/B tests. All of this is available in a live dashboard you see in real time.
Yes, this is one of my key streams in Ivano-Frankivsk. Booking sites for Bukovel, Yaremche, Vorokhta share typical pains: slow filters, confusing check-in/check-out dates, hidden price (sudden jump at checkout), weak trust signals, broken mobile forms. I walk the full journey from search to payment, capture drop-offs in Hotjar/FullStory, rewrite the checkout UX, add signal elements (reviews, photos, cancellation). Booking conversion often grows 25-60% within 2-3 months.
The Carpathian foothills have a scene of gear, apparel and accessory brands for skiers and tourists. For DTC sites I optimize: PDP (product detail page) — photos, video, size guide, reviews; PLP — filters, sorting; checkout — guest order, minimal fields, Apple/Google Pay; post-purchase — cross-sells, loyalty. I plug in Mixpanel to track return cohorts, calculate LTV by first-purchase segment. This grows AOV and repeat purchases.
Yes, for Ivano-Frankivsk HoReCa I work on online table booking, delivery, loyalty. Typical tasks: simplify the booking form, add a menu with photos, fix mobile speed (often Lighthouse < 40), integrate POS and CRM. A separate block is Google Business Profile and Google Maps conversion: photos, reviews, owner replies, promo posts. This is cheaper traffic than Meta Ads and converts well for local HoReCa near the Potocki Palace and Lake Horodske.
CRO directly impacts key P&L lines: revenue growth without marketing spend growth (so margin growth), lower CAC, higher LTV through better activation and retention. At the OKR level it becomes concrete targets: 'lift lead conversion by 30% this quarter', 'cut CAC by 20%', 'raise 30d retention by 5 pp'. These OKRs tie to the North Star defined in product strategy. The team gets one metric language and a transparent report for investors and the board.
Why choose me?
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 |
Conversion Optimization Ivano-Frankivsk — A/B Tests, GA4, Hotjar
Why conversion optimization is the fastest way to grow revenue in Ivano-Frankivsk
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.
My CRO methodology — from audit to dashboard
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.
What CRO looks like across Carpathian industries
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.
The most common mistakes I fix in the first 30 days
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.
Why start CRO right now
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.