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.
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.
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.
Exchange A Blade came to us because they needed a team to manage their PPC account. Their business goals were to increase awareness of their service, get more customers signed up to their newsletter, promote local dealers and help customers find vendors.
We identified who their customers were, the keywords they used and the web resources they spent their time on. Goal completions have steadily increased from Feb 2017 to Sept 2017 by 116%. The cost per lead has dropped by 54%.
Google Analytics segments customers by their origin. We used this data to adjust our marketing campaigns and move our budget to the best performing sources of paid traffic.
We used the Multi-Channel Funnels reports to work out how our Channels (i.e. Organic Search, Referral, Email) worked together. How much time passed between a customer’s first interaction and the purchase and how much revenue ($) assisting Channels make.
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