What is the difference between A/B testing and multivariate tests?

A/B tests compare two variants of a single variable (e.g. two headline versions). Multivariate tests test multiple variables simultaneously to find the optimal combination — but require significantly more traffic for statistical significance.

Which elements should be A/B tested first — where is the biggest lever?

Experience shows the following elements have the highest impact: CTA button (text, colour, position), headlines, hero image/video, form length and page layout. CENTURIO Partners prioritises tests by expected conversion uplift and traffic requirements.

How long does a meaningful A/B test take — and when is it stopped too early?

At least 2 weeks of runtime and 100+ conversions per test variant for statistical significance (≥95%). Stopping tests too early is the most common mistake: the 'peek effect' produces false positives when you check daily and stop when one variant takes an early lead.

What is statistical significance and why is it critical for valid test results?

Statistical significance (typically ≥95%) describes the probability that an observed difference was not caused by chance. Implementing a non-significant result costs conversion rate — it could just as well be random noise. CENTURIO Partners uses both Bayesian and frequentist testing approaches.

What is conversion rate optimisation (CRO) and what are typical quick wins?

CRO is the systematic optimisation of the proportion of visitors who complete a desired action. Quick wins: make CTA copy more specific ('Request now' instead of 'Submit'), add social proof (testimonials, logos), reduce form fields, improve load time and add trust signals.

How do you build a prioritised test roadmap and prevent testing chaos?

A test roadmap prioritises tests by: expected uplift (hypothesis with data foundation), impact on overall conversion, implementation effort and required traffic. Frameworks like PIE (Potential, Importance, Ease) or ICE (Impact, Confidence, Ease) support prioritisation. CENTURIO Partners establishes structured testing processes.

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A/B-Testing & Campaign Tracking

Scientific marketing optimisation for sustainable ROI

Marketing optimisation through scientific testing methods

Brand Marketing & Sales

Marketing decisions based on assumptions rather than data are the most expensive mistake in digital marketing. Without systematic testing and precise campaign tracking, budgets are distributed based on intuition — and improvement potential remains permanently untapped.

CENTURIO Partners implements scientific testing frameworks and analytics systems that transform marketing from guesswork into certainty. From A/B testing to multi-touch attribution, we create the foundation for data-driven decisions on every channel.

Whether implementing a first-time analytics infrastructure, optimising a stagnating conversion funnel, or building a cross-channel attribution model: CENTURIO Partners brings both the technical implementation and the strategic interpretation — ensuring data becomes a genuine decision-making asset rather than an overwhelming reporting burden.

Our Expertise

Those who optimise without testing are improving by luck. Well-intentioned redesigns, changed CTAs or new creatives can both increase and crash conversion rates — without a test you only know afterwards. CENTURIO Partners implements systematic testing structures that deliver statistically robust conclusions.

Landing page testing with systematic conversion optimisation
Email testing for maximum open and click-through rates
User experience optimisation through multivariate tests
Statistical significance testing for reliable results

From hypothesis to statistical evaluation — testing is not a tactic, it is a mindset.

Marketing decisions without data are guesswork. Marketing decisions with the wrong data are more expensive. We build the testing architecture that saves you both.

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A/B-Testing & Campaign Tracking

Marketing optimisation through scientific testing methods

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