A/B Testing Services

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Turn ideas into measurable wins. Growth Affect designs and runs A/B tests that reduce guesswork, validate changes with data and build a repeatable experimentation program for your business.

Who This Is For

  • eCommerce teams that want steady lifts in add to cart, checkout and revenue
  • B2B marketers who need more qualified enquiries from the same traffic
  • Founders who want decisions backed by data, not opinion

What We Do

  • Experiment strategy aligned to commercial goals and customer journeys
  • Hypothesis development based on analytics, behaviour and heuristic reviews
  • Test design variants, copy, UX and interaction patterns
  • Sample size planning power, minimum detectable effect and expected run time
  • Platform setup configuration in your chosen tool and QA of event tracking
  • Analysis and significance clean reads, lift estimates and risk checks
  • Rollout support implementation notes for dev and design teams
  • Program reporting results, learnings and next steps to keep momentum

Platforms We Work With

VWO, Optimizely, Convert, Google Optimize 360 legacy alternatives, Shopify theme experiments and custom frameworks. GA4 and BigQuery for analysis.

Evidence We Use

  • GA4 funnels, events and micro conversions
  • Heatmaps and session recordings to spot friction and missed intent
  • Form analytics to target the steps that cause drop off
  • Heuristic reviews to shortlist high potential changes
  • Competitor patterns to benchmark expectations

Deliverables

  • Testing roadmap prioritised by impact, confidence and effort
  • Test briefs with hypothesis, variants, metrics and guardrails
  • QA workbook screenshots and payload checks before launch
  • Results reports lift, significance, diagnostics and insights
  • Implementation notes for shipping winners or iterating

Our Process

  1. Discover goals, KPIs and pain points
  2. Find issues using analytics and behaviour tools
  3. Prioritise build a sensible test backlog
  4. Design variants and copy with a clear hypothesis
  5. Launch QA, run, monitor and protect the read
  6. Analyse evaluate lift and the risk of being wrong
  7. Scale implement winners and feed learnings into the next tests

What You Can Expect

  • Fewer dead ends and faster learning cycles
  • Reliable reads on what actually moves revenue or enquiries
  • A repeatable experimentation process your team can run with

Options and Add Ons

  • Design and copy support for high quality variants
  • Development support for complex experiments
  • Personalisation pilots once you have a testing rhythm

FAQs

How long should an A/B test run
Most tests run two to four weeks, depending on traffic, conversion rate and the effect size you want to detect.

What metrics do you track
We track the primary conversion plus key micro conversions to understand behaviour changes, and we validate against revenue or qualified leads.

Can you test on Shopify
Yes. We use platform tools, theme based experiments or third party tools, and we ensure GA4 can read outcomes clearly.

Do you offer multivariate testing
We focus on A/B and A/B/n for cleaner reads. Multivariate is possible where traffic allows.

Next Step

Want a quick assessment of test readiness and opportunities? Ask for a free review. Ready to start? Contact us for a roadmap and timeline.

Based in Brisbane. Working with eCommerce and B2B teams across Australia and New Zealand.

[Start Testing Today]