Ranking decisions for e-commerce. Proven by revenue. Most teams optimize for CTR — and leave revenue on the table. We test and deploy ranking strategies that balance relevance, margin, and stock — and prove every change by revenue per session.
Ranking decisions for e-commerce. Proven by revenue. Most teams optimize for CTR — and leave revenue on the table. We fix that.
One service. Three phases. Full revenue impact.
We work with your existing search or category ranking stack — turning product signals, business constraints, and experiments into a ranking layer that can be safely shipped.
01 — Audit & Diagnosis
We analyze search behaviour, query coverage, and product exposure to identify where ranking changes are most likely to create business impact.
02 — Ranking Layer
We design the business-signal layer: relevance, margin, stock, availability, and product priorities translated into ranking rules or scoring logic with clear guardrails — without letting one goal silently destroy another.
03 — Experiment & Ship
We validate the strategy on live traffic using revenue per session as the primary metric. Ship when impact is proven and guardrails hold; stop when it is not.
One decision layer for ranking strategy.
We work on top of your existing search or category ranking stack. Using experiments, business constraints, and product signals, we turn ranking decisions into measurable systems.
From ranking audit to a validated decision layer
We start by finding where ranking may be under-monetizing demand, turn those findings into controlled experiments, and keep only what proves revenue impact.
Search Ranking Audit
Find ranking mismatches and revenue opportunities. We analyze search and catalog behavior to identify where product exposure, clicks, and revenue outcomes may be misaligned — and where a ranking experiment is worth testing.
Candidate & Strategy Design
Select the products, queries, and business signals worth testing. We turn audit findings into concrete hypotheses: what to expose higher, where margin or stock signals matter, and what guardrails must hold.
Experiment Implementation
Run controlled A/B tests with Revenue per Session as the primary metric. We define acceptance criteria upfront, implement the ranking change on live traffic, and validate impact with business guardrails.
Ranking Decision Layer
Turn successful experiments into repeatable ranking logic. Winning tests become reusable rules, scoring logic, or ML-based ranking strategies — not one-off fixes.
Why this matters
Clicks can rise while revenue stays flat
We test before shipping changes sitewide
Revenue per session shows if the decision worked
Audit & Diagnosis
We analyze search behaviour, query coverage, and product exposure to identify where ranking changes are most likely to create business impact.
- Query-level opportunity analysis
- Position & exposure diagnostics
- Candidate selection for testing
Strategy & Experiment Design
We define ranking strategies around your business goals — revenue, margin, stock turnover, or conversion — with clear guardrails before launch.
- Revenue vs margin strategy design
- Guardrails for CR, CTR, and inventory
- Experiment planning & KPI definition
Controlled Experiments
We validate ranking changes through controlled A/B experiments using revenue per session as the primary decision metric.
- Experiment implementation
- Revenue impact measurement
- Risk & guardrail monitoring
Rollout & Decision Layer
Winning strategies become repeatable ranking policies integrated into your merchandising workflow.
- Strategy deployment
- Decision playbooks
- Continuous ranking optimization
Why this matters
Clicks can rise while revenue stays flat
We test before shipping changes sitewide
Revenue per session shows if the decision worked
What a typical engagement delivers
Ranges depend on your baseline and traffic. Either the ranking change wins clearly — or we kill it quickly and move on.
Target uplift is estimated from your own search and catalog data, then validated through a controlled experiment.
A clear diagnostic of which ranking decisions are costing you revenue — and what to change first. Most teams have never had this view.
Time-boxed experiments that either show a clear effect or get stopped — no zombie projects carried into the next quarter.
What a typical engagement delivers
Built from both sides of e-commerce
Detra is founded by Denys Bolkovenko — an e-commerce product leader with over 10 years of experience across agency delivery and large-scale retail.
He previously founded M-integration, a full-cycle e-commerce agency that served 30+ clients. Later, as Online Development Director at ALLO (one of Ukraine’s largest retailers), he led 50+ people across web, mobile, and marketplace teams, with full ownership of the product roadmap and development budget.
That experience showed him how difficult it is to connect ranking decisions to real revenue impact at scale — and became the foundation for Detra.
Detra focuses on one narrow problem: turning search and catalog ranking decisions into measurable revenue experiments.
Built from both sides of e-commerce
Detra is founded by Denys Bolkovenko — an e-commerce product leader with over 10 years of experience across agency delivery and large-scale retail.
He previously founded M-integration, a full-cycle e-commerce agency that served 30+ clients. Later, as Online Development Director at ALLO (one of Ukraine’s largest retailers), he led 50+ people across web, mobile, and marketplace teams, with full ownership of the product roadmap and development budget.
That experience showed him how difficult it is to connect ranking decisions to real revenue impact at scale — and became the foundation for Detra.
Detra focuses on one narrow problem: turning search and catalog ranking decisions into measurable revenue experiments.
Now taking on early projects
We are opening a small number of carefully selected engagements with e-commerce teams that want to test how search and catalog ranking affect revenue. Public case studies will be published as experiments complete.
Want to be among the first?
Early partners get direct founder involvement, deeper diagnosis, and a lower entry point. If your stack runs on Elasticsearch or Algolia and you want to move Revenue Per Session — let's talk.
Let's talk →Let's talk
If you want to understand how ranking is affecting your revenue — leave your contact and we'll set up a call.
What to expect
A short discovery call. We’ll look at your current ranking setup, discuss your business goals, and identify whether there’s a measurable opportunity to improve revenue performance.