Make more money from your existing traffic and marketing campaigns
The most successful companies in the world are continually hypothesising, testing, and retesting. They test their offers, they test their marketing, and they test their designs, all in order to increase their conversion rates.
Whether it’s a product or service, an idea, or something else entirely, your websites number one job is to sell. If you’re spending money to get people to visit your website, optimising for your desired result is an smart investment.
By increasing conversion rates (the percentage of website visitors who become customers), you disproportionately increase profits (fixed costs remain the same / economies of scale), and are able to increase advertising expenditure further, which results in more traffic, more customers, and more profit.
A/B testing returns hard, actionable data that is proven in the marketplace by the market. It doesn’t matter if you liked the losing design more (sometimes this hurts!), or if you thought the losing offer was better value or whatever it may have been – the marketplace will tell you what they want, and you’ll both win as a result.
You can have your own opinions, but not your own facts. Everyone has an opinion, and more often than not companies will implement idea’s – or even argue and debate idea’s – then end up implementing them without any testing in the real world.
CRO takes away emotional decision making and potentially harmful debate, and replaces it with truth.
Data ensures that you don’t abandon a winning formula when it’s winning, and instead allows you to continue to run tests and further improve.
Before testing, I need to understand what your current marketing efforts look like and who your target customers are. This step may require us to create a core customer profile to ensure that the current marketing funnel, offer and copywriting are tailored specifically for them.
Based on the data gathered it’s time to begin creating and priortising hypthesise to A/B test against the current website.
Continue to repeat steps 3-5, improve hypothesis, and run further tests until results can no longer be improved.
Currently unavailable for any new projects.