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★ Analytics & Conversion Optimization ★

A/B Testing See what actually brings in enquiries – and improve what does not.

For you if: When there is enough relevant traffic and a clear hypothesis that can be tested without changing several things at once.

PriceFixed price in writing after a free assessment. No lock-in.
A/B Testing
A/B Testing · Alin Digital
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★ WHAT IS INCLUDED

Agreed in writing before we start.

  • Hypothesis and test goal
  • Baseline and traffic assessment
  • Variant design/implementation within scope
  • Event and conversion measurement
  • Result analysis and decision note
★ THE CHALLENGE

When changes are made by intuition instead of a clear hypothesis.

We prioritize testable hypotheses, define the measurement method and interpret results with traffic volume and data quality in mind.

★ HOW IT WORKS

Four clear steps.

  1. Review

    We map goals, needs, data and what should be prioritized.

  2. Scope & price

    You receive deliverables and the agreed price in writing before work starts.

  3. Build

    We produce, test and let you approve along the way.

  4. Growth

    We measure, learn and improve what actually matters.

★ EXAMPLE

What the written offer looks like.

Example · not a real client
Offer: A/B TestingClient: your business
  • Hypothesis and test goal
  • Baseline and traffic assessment
  • Variant design/implementation within scope
  • Event and conversion measurement
  • Result analysis and decision note
PriceFixed price, stated here in writing
Illustration of the format. Your offer is written for your business after the free assessment.
★ BEFORE WE START

Three decisions before we recommend a scope.

When this fits

When there is enough relevant traffic and a clear hypothesis that can be tested without changing several things at once.

First decision

Baseline, primary metric, variant, traffic assumptions and stopping/decision rules are defined before the test begins.

When we should choose something else

If measurement is unreliable or data volume is too weak, the data foundation should be improved before drawing strong conclusions.

★ FROM DATA TO DECISION

How we move from observation to improvement.

01

Question & measurement

We test critical user flows, mobile behaviour and technical requirements before launch or handover.

02

Data quality

We connect this part to a clear metric or hypothesis and document what the data actually supports.

03

Hypothesis & priority

We make the key user tasks and content hierarchy concrete before locking visual detail.

04

Implementation / test

We verify that the agreed action can be measured consistently before results are used for budget or optimization decisions.

05

Interpretation & decision

We connect this part to a clear metric or hypothesis and document what the data actually supports.

★ PRACTICAL FRAMEWORK

Data quality, hypotheses and interpretation.

Data foundation

sufficient relevant traffic, one clear hypothesis, a defined KPI, implementation access and an agreed test period

Decision signals

difference between control and variant on the predefined KPI, uncertainty and test quality

Uncertainty & interpretation

Measurement depends on correct implementation, consent and data access. Experiments are interpreted according to actual data volume and uncertainty — not as guaranteed uplifts.

★ FAQ

Practical questions about A/B Testing

When is A/B Testing the right next step?

When there is enough relevant traffic and a clear hypothesis that can be tested without changing several things at once. Baseline, primary metric, variant, traffic assumptions and stopping/decision rules are defined before the test begins.

What do you need from us before starting?

We clarify sufficient relevant traffic, one clear hypothesis, a defined KPI, implementation access and an agreed test period. If something is missing, we explain what can be done without it before scope and price are approved.

What do we concretely receive?

The core delivery is normally built around Hypothesis and test goal, Baseline and traffic assessment, Variant design/implementation within scope. Exact included and excluded work is confirmed in writing before starting, and we follow relevant signals such as difference between control and variant on the predefined KPI, uncertainty and test quality.

How certain can we be about the effect?

Measurement depends on correct implementation, consent and data access. Experiments are interpreted according to actual data volume and uncertainty — not as guaranteed uplifts.

★ FREE QUOTE

Get a free quote for A/B Testing

Tell us briefly about your business and what you need. We will send you a fixed price in writing, usually within two working days.

  • No obligation, no lock-in
  • Fixed price before work starts
  • We help businesses across Norway – remotely, with a fixed price

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