We were working with a client, focusing heavily on driving engagement to their blog and trying to funnel readers towards a discovery call CTA. But when we took a closer look at their website analytics, we uncovered a surprising insight: the vast majority of their traffic and engagement was actually moving towards their masterclass series pages. This was a real eye-opener for us. We realised that we needed to pivot our strategy and start directing more users towards this high-performing content. So, we updated the marketing funnel and, after conducting further research, created more downloadable content to support the masterclass series. This approach did add extra steps to the process of getting sales enquiries, but the data showed us that it was invaluable in building user awareness and trust in the client before they engaged further. And it worked: by letting the data lead the way, we were able to create a more effective content strategy that ultimately drove better results for our client.
At Startup House, we love diving into data to fine-tune our content strategy. One time, we noticed a spike in engagement on our blog posts that were published on Tuesdays at 10 am. So, we adjusted our posting schedule to capitalize on this trend, resulting in even higher readership and shares. Data analytics isn't just numbers to us; it's the key to unlocking our content's full potential and reaching our audience at the right time with the right message.
At our agency we use Google Analytics and HotJar heat mapping, to see which pages are most popular, where users are dropping off and which calls-to-action are most effective. Based on this data, we can make informed decisions about what type of content to create, how to structure our pages for better user experience, and where to focus our efforts for maximum impact. eg. if we notice that a blog post on a certain topic is driving a lot of traffic and conversions, we may decide to create more similar content to capitalize on its success.
An example of how I have used data analytics in the process of refining my content strategy is the time I was working as a content strategist in a popular lifestyle blog. The traffic was quite low and the team needed help with deciding what type of content would be helpful in the situation. This is how I worked: Establishing Specific Goals The first phase was to define the content strategy goals more precisely. In our goals, we targeted better user experience, website traffic, and engagement. Analyze Data We went through the blog data that was available and made an analysis on different analytics. Identify Patterns We pulled out a few trends from the data analysis we had done which would help us improve the approach to content. Create a Content Strategy from the Data Building a data-driven content strategy was developed after the data analytics and insights were extracted. Monitoring and Tuning We are tracking the performance of the new content strategy and tuning it wherever necessary.
I spent four years at Amazon as a software engineer on the Amazon Fulfillment Technology team. By analyzing user engagement metrics, I identified underperforming content areas. This led to a strategic shift towards more interactive and visually engaging formats, significantly boosting user interaction and satisfaction.