CRO Scoping Quiz – DataVinci & Growth

CRO Project Scoping — DataVinci

DataVinci & Growth — CRO Scoping

Step 1 of 3 — Traffic volume

What is the monthly traffic to your site?

This determines whether testing is statistically viable and how long each test will take to reach significance.

Under 50,000 / month

Insufficient traffic for reliable split testing

50,000 – 100,000 / month

Entry point for testing — duration varies by methodology

100,000 – 250,000 / month

Solid foundation — all methodologies viable

250,000 – 500,000 / month

High volume — fast results across all test types

500,000+ / month

Full testing velocity — granular tests complete in weeks

Step 2 of 3 — Testing preference

What is your speed vs risk preference?

Each approach trades off how fast you see results against how much is exposed on each test cycle.

Bold

Full page split test

Full page split test — The fastest shot at a step-change in conversion rate. One winning test can deliver a 20–50%+ lift — you're not iterating around the edges, you're finding the concept that resonates most with your audience.

Pros

Can produce 20–50%+ lift in a single test cycle

Validates or kills your core value proposition fast

Fewest test cycles needed to reach a decision

Cons

50% of paid media budget exposed to an unproven page for the full test window

A losing test tells you nothing about what specifically failed

High design and development cost per test cycle

Systematic

Fold by fold tests

Fold by fold tests — A compounding optimisation engine. Each winning section permanently improves your page, and every test — win or lose — tells you something specific about what your audience responds to. Perpetual optimisation that keeps you ahead of the curve.

Pros

Every winning section is a permanent, evidence-backed improvement

Losses are informative — you learn exactly which section didn't resonate

Lower production cost per test than full page

Cons

Requires both qualitative and quantitative data to form credible section hypotheses

Lower folds receive less traffic, meaning longer waits for statistical significance

Needs multiple consecutive winning tests before cumulative impact becomes significant

Precision

Granular tests

Granular tests — The highest confidence in what is actually driving results. Every winning test delivers a clean, transferable insight about your audience — one that can inform decisions across your entire site, not just this page.

Pros

Clean attribution — you know exactly which element drove the result

Near-zero media budget exposure — a losing test barely moves the needle

Small changes sail through compliance and internal approvals

Cons

Requires the most traffic to detect small effect sizes — longest test windows

Risk of perfecting elements on a fundamentally broken page

Demands the most program discipline and governance to run well