Google Analytics

Dreams is a leading UK retailer. I conducted audits on their Google tag manager implementation, Google Analytics setup and team capability to use these technologies. Using the report - we built a plan and worked with the development team to implement enhanced commerce, correct multiple issues and improve site speed. Additionally we built up the teams knowledge and expertise to use Google Analytics to drive decision making. Using the recommendations from their data, we improved site conversion, SEO and revenue.

The client asked us to port their current website to Magento and improve the revenue of their existing online store.

As the tech lead, I led the development of the client's new website, writing custom modules and assigning work to other developers. We managed to deliver the work in record time: within only a month we delivered the first release which went live soon after.

After the site went live, I used New Relic, Google Analytics, NPS and latest market research from Baymand Institute to create a 12 month roadmap of improvements that will boost conversion rate, average cart value, customer loyalty, and generally, online user experience with the brand.

I then created user stories and milestones, and organized work in 3-week sprints. I led daily standups, retrospectives and backlog grooming, decided priorities between bug fixes, improvements and new features and kept the client up to date with results by delivering monthly reports.

As an example, one of the major milestones was redesigning the checkout experience. Our work increased the checkout conversion rate by 12%. After the implementation of the first roadmap, the client saw significant quarterly revenue growth compared to the same quarter last year.

I was tasked with finding ways to improve the overall user experience with the brand's online store, with special focus on mobile. I streamlined user experience by making improvements to product page, category page and checkout. I performed A/B tests and analysed Google Analytics data to drive my decisions. I managed the work through 3-week sprints performed by a cross-functional team of backend and frontend developers and designers.

Talk given at Brighton SEO, UK in September 2018.
This talk demonstrated some basics around using Google Data Studio to automate reporting. Slides: https://www.slideshare.net/grantkemp/brighton-seo-dive-into-data-studio-grant-kemp Listen to the podcast recording: https://soundcloud.com/brightonseo/grant-kemp-diving-into Talk Description: I love to see the reaction that people have when they see how powerful and easy Datastudio is and how it can make their job a lot easier. We will do a joint dive into Datastudio for those that have never built their own dashboards before. We will build a fun real time dashboard during the talk and along the way I will explain and demo some key concepts to help you start building your own dashes.

This blog post will teach you how to allocate your marketing budget using the reports in Google Analytics. You'll learn how to setup campaign tracking and identify your best traffic sources. By the end you should know how to spend your marketing budget wisely.

With a limited budget we needed to work out how to better allocate our marketing spend. We needed the biggest bang for our buck. We built an app for Google Analytics to upload our cost data from all our channels automatically. This allowed us to compare the cost and performance of all our marketing channels alongside each other.