Analytics and testing are simply tools. They’re tools to help you do better business. Some people call it Growth Hacking. We use analytics and testing to help your business grow by telling you what works and what doesn’t.

What Analytics Strategy looks like

Once we’ve ensured your data is clean (find out how we do this by downloading our services sheet), we look for a number of business drivers. Our strategy is simply to look at which marketing channels work, which parts of the website perform the best, which parts of your lead generation or sales funnel are working and the types of attributing factors that work – such as, if you did a Display campaign, did it make a difference to direct traffic?

Once we’ve determined what tactics work, what don’t and what can be fixed, we align your strategic goals to what is being done on the website.

The key is then to align what your customers want to do when they hit your website with your business goals. Fill in the form to download our services sheet to find out how much a typical analytics set-up costs, what we need from you and what to do next, or simply contact us for more information.

Analytics & Strategy capabilities

Finding areas of improvement using analytics is vital to informing our A/B testing strategy. The idea is that your benchmark “A” version of the user experience is the “unoptimised” version of the experience, whereas the “B” version is the new experience we hope will work better. If it does work better, we keep it. If it doesn’t, we design new tests until we get it right and you start seeing successful results.
No-one wants to do campaigns that aren’t effective. You can’t manage what you can’t measure. Adobe Analytics is a tool that allows us to understand how efficient your website and digital marketing campaigns are at providing value to your customers rather than spamming them.
In depth analysis of data, digging deep and investigating why things happen like they do is the most enjoyable part of any analysts work in Quru. We look at different types of users that come to your website – new visitors versus repeat visitors, customers versus prospects, men versus women, tech versus tech, visits that read your content versus visitors that don’t. We do this to understand the user journey and the way different traffic sources contribute to the visitor experience and usage.