The problem? You're rolling misconceptions into your next piece of content. Untested assumptions and commonly held falsehoods are driving your marketing endeavours.
Your competitors? They're refining their understanding of their user groups, and democratising ideas so that their team members can hypothesise and develop experiences.
The basic Optimizely CMS licence gives you the ability to run AB tests to develop experiences, and drive engagement. However, despite having access to one of the most powerful experimentation platforms on the market, many organisations fail to unlock the full potential of Optimizely.
At Mando Group, we help ambitious brands shift from ‘set it and forget it’ to strategic, AI-powered experimentation - driving measurable performance across e-commerce, financial services, and manufacturing.
Here’s a quick guide to getting going.
With rising customer expectations and economic pressure on digital spend, the smartest organisations aren’t guessing - they’re testing.
Experimentation is no longer about small tweaks; it's about reducing risk, validating innovation, and scaling what's proven to work.
Organisations that consistently test outperform those that don’t - because they learn faster, adapt quicker, and deliver better experiences.
The Optimizely experimentation suite goes so much further than simply A/B testing.
The latest version uses Generative AI, predictive models, and automated decisioning to help teams:
Explore the latest at optimizely.com/ai
Whether you’re new to testing or scaling experimentation across your organisation, use this proven framework:
Link every experiment to a commercial objective (e.g., reduce churn, improve product uptake, grow cart size).
Use data to identify friction points in the customer journey. Then prioritise tests based on business value and implementation effort.
Structure tests with a clear hypothesis. For example:
"If we personalise homepage banners by sector, conversion will increase by 10% across the board."
Define primary success metrics (e.g., conversion rate) and guardrail metrics (e.g., bounce rate or AOV).
Once an experiment reaches statistical significance, scale the winner - and feed learnings back into your strategy.
Leverage Optimizely's AI to speed up test ideation, recommend variants, and eliminate underperforming options faster.
🚫 Testing trivial elements (e.g., button colour) with no commercial value
🚫 Skipping statistical significance - results may look promising but mislead
🚫 Running too many experiments at once without segment control. Start small and build the knowledge base.
🚫 Forgetting to plan for scaling - a test that wins should be implemented quickly. Then test the roll out.
We support, evolve, and consult on digital products for UK and global enterprises- we build experimentation cultures. As one of the UK’s leading Optimizely-only agency, we help digital leaders:
Want to see how testing can impact your bottom line? Get in touch with our experts today.