SERVICE · CONVERSION OPTIMIZATION

More results from the same traffic

Often the problem is not that there are too few visitors. The problem is that too few of them contact you, buy or move to the next step. We use data to find bottlenecks in your site, advertising and tracking, then fix them one at a time.

Revla · A/B TEST LIVE SIGNIFICANT
— EXPERIMENT · #047
variant_a: 1.5%
variant_b: 3.0%
confidence: 97%
— UPLIFT · 14D

Paid traffic is expensive. Improving the page is cheap.

Paid traffic is expensive. Before increasing the budget, it is worth making sure the current traffic produces as well as possible. If 1.5 out of 100 visitors contact you now and we lift that to three, enquiries double without extra ad spend. This only works when changes are based on data, not opinions.

A data-driven development process

  • Better use of current traffic : Before buying more visitors, we look at what happens to current traffic. Where do people leave, what blocks contact and what should be fixed first?
  • Conversion funnel analysis : We identify where visitors drop off and why.
  • User journey research : Heatmaps, session recordings and event data show how visitors actually behave.
  • Hypothesis building : Every change is based on a concrete observation, not gut feel.
  • A/B and multivariate tests : We measure new versions against existing ones: data decides, not opinion.
  • Forms and CTA button optimization : Small changes with a big impact on conversion.
  • Page structure and content testing : Headlines, images, order: all testable.
  • Monthly report and findings library : You don't lose information: every test is documented for future use.
Revla · CRO BENCHMARK ● UPLIFT
+97%
Yhteydenottojen osuus tuplaantui (1,5 % → 3,0 %)
CVR_A 1.5 %
CVR_B 3.0
P-VAL 0.03
CONF 97 %

The cycle starts with data, ends with a better result

Conversion optimization is not a single trick, but a continuous development cycle. We collect data, identify bottlenecks, test changes and carry the learnings into the next improvement. That way the site improves month by month based on real users.

VAIHE 01
01
Audit and data collection
We go over current visitor and conversion numbers, install heatmap tools and gather data for 2–4 weeks. Information drives action, not assumptions.
VAIHE 02
02
Hypotheses and prioritization
We identify problem areas and form testable hypotheses. We prioritize by which are likely to produce the biggest impact.
VAIHE 03
03
Tests live
We design and run A/B tests. One test typically takes 2–4 weeks until a statistically significant result is reached.
VAIHE 04
04
Implementation and the next cycle
Winning versions go live, losers are archived in the learning library. The cycle starts again at the next bottleneck.

Opinion doesn't decide. Data decides.

Most site changes are made based on opinions: someone wants a new headline, another color or a shorter form. We do not work that way. We look at the data first, form a hypothesis and test the change with real users. Development is based on learning, not guessing.

01
Statistical significance, not guesses
We don't declare a winner before the data is statistically robust. This prevents situations where a "winning" version is actually chance.
02
Sites + advertising + tracking together
Conversion optimization works best when the site, advertising and tracking are with the same team. Then we see the whole path: where the visitor came from, what they did on the site and why they did or did not contact you.
03
A learning library that grows every month
Every test is documented and stored: wins and losses both. A year in you have hundreds of concrete lessons about what works for your audience.
TEST RESULT / 2025-Q4 SIGNIFICANT
A/B-testi #047: Tuotekortti
14 vuorokautta · 18 420 kävijää · 2 varianttia
+97 %
Yhteydenotto-osuuden paranema. Luotettava ero (p = 0,03).
variant_a 1.5%
variant_b 3.0%
p_value 0.03
winner variant_b

Conversion optimization from €500/mo + VAT

From
€500/mo + VAT

CRO requires more time than campaign management because every test requires planning, implementation and tracking. Our pricing starts at €500/mo and includes 1–2 tests per month on an existing site. Most clients take CRO as part of a bigger package (sites + advertising + CRO), in which case the price is lower.

What the monthly fee covers
  • Heatmap and tracking tool upkeep
  • Conversion funnel analysis and reporting
  • 1–2 A/B tests per month
  • Hypothesis documentation and learning library
  • Implementation of winning versions on the site
  • Monthly report and meeting
Get a quote for your situation
EXAMPLE

Paleokauppa · Online store

E-commerce · Conversion optimization · 6 mo
11×
Sales grew elevenfold in six months

Online store Paleokauppa's sales grew elevenfold in six months. The single biggest factor was not more traffic: it was a radical improvement in conversion through optimization of the page structure, product pages and checkout process.

Read the full case
CASE FILE / 2025 VERIFIED
Paleokauppa
6 kk · Verkkokauppa
11 ×
Myynnin kasvu samalla liikennetasolla.
revenue 11x
traffic unchanged
tests_run 14
win_rate 64%

Answers to the key questions

Do I need CRO separately if you already do sites and advertising?

Depends on the situation. The sites we build have a conversion-optimized base structure, but CRO is continuous work: there's always something to improve. If you have enough traffic (over 3,000 visitors/mo on the main page), CRO pays itself back quickly. We go through this in the discovery call.

How much traffic do I need for CRO to work?

A/B tests need traffic. For a reliable result, the optimum is 1,000+ successful conversions per tested version, but in practice we get close enough with smaller numbers. Fewer enquiries and less traffic mean slower tests, but conversion optimization still works: it just takes longer. Under 1,000 monthly visitors usually means it's worth focusing on traffic growth first.

Which tools do you use?

We use heatmap tools like Hotjar or Microsoft Clarity, A/B testing tools like VWO or PostHog, and GA4 with server-side tracking for analytics. Tool selection depends on the client's needs.

How long until I see results?

First findings (clear bottlenecks) are identified during the first month after data collection. The first implemented improvements show in 2–3 months. Significant cumulative results in 6 months once several tests have completed.

Does CRO work for small businesses too?

It works, but requires traffic. If traffic is under 1,000 visitors a month, we recommend focusing on growing it first via Google Ads or SEO. Once there's enough traffic, CRO starts to compound results effectively.

What if a change makes the result worse?

This is part of the process. About 30–40% of tests lose or don't produce a meaningful difference: and that's OK. When a winning version is found, it offsets many losses. The important thing is that every test is documented so the lessons accumulate over time.

Should I add traffic first or improve the page first?

It depends on the situation. If the site already has enough traffic but few enquiries, conversion optimization is often the smartest first step. If traffic is too low for reliable testing, we first grow visitor volume through Google Ads or SEO. The decision is based on data, not a guess.

Are you getting from your traffic what it's capable of?

Book a free 30-minute discovery call. We'll go over current conversion numbers and tell you realistically how much room for improvement is likely there.

Book a call