A blog about digital marketing, analytics, optimisation & growth

App Store Optimisation: How to Increase Your Store Ratings

App Store Optimisation is the art of getting your app visible in the app store. Much like SEO, it is about getting your app ranking high for certain search terms, and there are various factors which impact your ranking. I’m not going to attempt to cover all of these factors, but I wanted to share one element which I recently had some success with - Store ratings and reviews.

A Quick Guide To A/B Testing

Implementing an ab testing tool is the painless step in embracing Conversion Rate Optimisation (CRO). Perhaps you have a new shiny ab testing tool implemented on your site and you don't know where to start. Or maybe it’s not new but no one in your organisation is using it. It might be that you've heard everyone else is doing it (not to mention the awesome benefits), and you want to kick off the conversation with your team/boss.

Google Analytics Page Tracking: How to make yours as useful as it can be

Page Tracking in Google Analytics

Implementing the Google Analytics tag across your site is the easy bit of any implementation. Out of the box, GA will give you lots of useful data about your audience, but you will quickly reach a point where you don’t have all the data you need, specific to your business. I’ve been working with GA for some time, and I have learnt a lot about custom implementations from pure trial and error. The purpose of this post is to help you avoid one issue in particular that I have come up against - page names.

A/B Testing: When You Are The Victim of Your Own Success

caught in a trap

Creating a test and learn culture in an organisation that is unfamiliar with the concept is not easy, especially in large companies. However, when you do eventually make an impact, which can be extremely rewarding - both from a personal point of view and for your company - it can begin to snowball. And by this I mean lots of people getting wind of the benefits of testing and wanting a piece of the pie. It is fantastic to reach this point, but it can come with its own problems.

Very quickly you can have a queue of business owners wanting to run tests on their area of the website. If you and your team are in charge of testing, then it is your responsibility to maintain law and order. It’s all well and good implementing a shiny new testing tool, but your job should not just be about becoming the gatekeeper for this tool - it is so much more than that.

Why Design and Data Must Work Together

Creative and Mathematical Brain

UX teams must use data. They must use data to identify a problem, to help them to find a solution, and finally, to help quantify and tweak their efforts.

Not so long ago I received a heads up about an A/B test a UX team wanted to run for a new page they had designed. My first reaction was “great, they don’t want to just roll out a new page, they want to make sure it has the desired outcome.”

So what was the desired outcome? By digging a bit deeper into this planned test, I discovered that...erm, there wasn’t one. The ”KPIs” had been plucked out of thin air and they were not relevant to the page in question. For example, one of the success metrics for the test was bounce rate. But this page is rarely an entry page, so why are we redesigning a page to reduce bounce rate? That surely makes the assumption that there was a high bounce rate to begin with, which in-turn prompted this redesign? No, this was not the case - clearly, no one had looked at any data to gather insights.

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