I am Oleksandr Filyuk, 15+ years and 130+ product projects. I lift conversion on 7th Kilometre wholesalers' B2B portals, Podillia retail DTC e-commerce and agritech platforms through GA4, Hotjar, A/B tests and the HEART framework — no inflated cases, only honest unit economics.
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 | |
|---|---|---|
| Approach | AARRR funnel + unit economics | Landing-page optimisation only |
| Analytics | GA4, Mixpanel, Amplitude, Hotjar, FullStory | Basic GA without an event model |
| Testing | Hypotheses with MDE, statistics, stopping rule | Eyeball tests without significance |
| Prioritisation | RICE/ICE tied to ROI | Random list of ideas |
| Segments | B2B wholesalers, DTC retail, agritech | One template fits all |
| Metrics | Conversion, AOV, LTV, CAC payback | Only CR with no P&L impact |
Khmelnytskyi is a city on the Southern Buh with around 270 thousand residents and a strong Podillia economy. Three powerful business layers coexist here: the 7th Kilometre wholesale market (one of the largest textile hubs in Eastern Europe), local retail DTC e-commerce, and agritech platforms serving the agricultural sector. Each segment has its own conversion specifics, funnel and pain points. Universal CRO templates do not work here — local expertise and an understanding of specific users' JTBD are required.
I am Oleksandr Filyuk, with 15+ years in conversion optimisation and 130+ product projects under my belt. I work with Khmelnytskyi and Podillia teams offline (around Proskurivska, Kamianetska, Soborna Square, KhNU and PDU spaces) and remotely with teams across Ukraine and the EU. My philosophy is simple: CRO is not about "button colours", it is about unit economics. Every test must bring incremental revenue without harming LTV.
It all starts with an AARRR funnel audit (Acquisition, Activation, Retention, Revenue, Referral). I configure the GA4 event model, plug in Mixpanel or Amplitude for product events, and add Hotjar and FullStory for qualitative insights. At this stage it becomes clear where users are really lost. In 80% of projects the biggest hole is not where the team thought — it is often activation after sign-up or mobile checkout, not the landing page.
Next we shape the hypothesis backlog and prioritise with RICE/ICE. For every A/B test we document the statistical hypothesis, MDE (minimum detectable effect), expected duration and stopping rule. I never run "eyeball" tests — that is the most expensive mistake in CRO, leading to false wins and wasted money. If traffic is too low for a statistically valid A/B, we switch to bandit algorithms or qualitative methods (Hotjar sessions, usability tests, heuristic redesigns based on Nielsen).
Event analytics is the CRO foundation. I build a custom event model in GA4 tied to business metrics: ARPU, AOV, LTV. For product events I plug in Mixpanel (better for funnels) or Amplitude (better for cohort analysis and retention). For deep SQL analysis — BigQuery. For qualitative insights — Hotjar (heatmaps, recordings, surveys) and FullStory (rage clicks, dead clicks, frustration signals).
For A/B tests I use VWO, Convert.com or Statsig depending on the client's budget and tech stack. For voice-of-customer — Typeform, Hotjar Surveys, on-site polls. I am not locked to one vendor — I pick the stack to fit product, team and budget. For smaller teams part of the toolkit can be swapped for free analogues without losing signal quality.
The 7th Kilometre wholesale market is the largest textile hub in Eastern Europe, and its B2B portals serve buyers from Poland, Romania, Moldova and Czechia. Typical pains are a tangled catalogue structure, no MOQ data, unclear pricing logic (retail vs wholesale vs drop) and no multi-language support. A buyer lands, does not understand where the actual wholesale is, and goes to a competitor.
I rebuild the funnel: within 3-5 clicks from the landing page a buyer must see the assortment, price tiers, MOQ and a "price request" or "order batch" button. We add multi-language (PL/RO/RU/EN), live stock from Excel/1C, a mix calculator and clear delivery dates. Separately we set up CRM integration so the wholesaler's managers see leads in Pipedrive or KeyCRM in real time. Lead conversion typically grows 2-3x because we remove friction that has piled up for years.
Khmelnytskyi DTC e-commerce is mostly clothing, cosmetics, kids' goods and local food brands. The biggest hole is mobile checkout: 60-70% of orders start on a smartphone but, because of poor UX, close on desktop or do not close at all. That is a classic 30-50% revenue loss without an obvious reason in "general" statistics.
I optimise: guest checkout (no mandatory registration), Apple Pay and Google Pay, Liqpay/Monobank one-click, address auto-fill from Nova Poshta, clear shipping costs before payment. The second big topic is abandoned carts due to lack of trust: we integrate reviews (Trustpilot, Google Reviews), return guarantees, clear delivery dates, live chat during business hours. Payment conversion typically grows by 20-40% per quarter, AOV by 10-15% thanks to upsell blocks in the cart.
Podillia agritech platforms operate in completely different logic. The sales cycle is 3-12 months, and "conversion" is not one metric but a funnel: lead -> MQL -> SQL -> pilot -> contract. Reducing the funnel to "CTA click rate" is a gross mistake that leads to wrong decisions.
I build multi-touch attribution in GA4 tied to the CRM, and add Hotjar to diagnose behaviour on case-study and pricing pages. The highest ROI usually comes from three things: case-study page optimisation (where an agronomist sees a similar farm already using the product), a demo form with qualification (fields for farm size and crops), and a 14-30 day follow-up sequence via email and messengers. SQL conversion grows by 30-60%, the lead-to-contract time shortens by 20-30%.
The first step is a 60-minute free session where I diagnose the current funnel, key metrics and team pain points. Next we pick a format: a 12-16 week CRO sprint with audit and 4-6 A/B tests, or long-term mentorship (3-6 months) with an ongoing hypothesis backlog and monthly ROI reports. For Khmelnytskyi teams I work hybrid — strategic workshops offline, analytics and tests async.
CRO works best paired with product strategy — without the right ICP and JTBD, even the best A/B tests will hit a ceiling. For a deep UX view see UX audit in Khmelnytskyi. Conversion optimisation details and session booking on the conversion optimisation page.