Wednesday, February 23, 2011 | 10:29 AM
Google Analytics Certified Partners play an important role in Asia Pacific’s web analytics ecosystem. They are the Google Analytics implementation and reporting experts, and they partner closely with businesses of all sizes to help them improve and grow their online presence. This is one in a series of articles from Google Analytics Certified Partners across the region.
Anantya is the Executive Director of Think.Web, the first Google Analytics Certified Partner in Indonesia. - Ed.
Rapper, radio broadcaster, host, TV personality and writer: these are the many faces of popular Indonesian independent artist Pandji. As an independent artist, Pandji has to be smart about his Web presence and his budget and he needs an efficient and cost-effective way to get the word out about his work.
That’s where Google Analytics, and the Think.Web consulting team, come into play. In this post, we’ll walk you through how we used Google Analytics to answer two key questions about Pandji’s online presence - “Why do Pandji’s fans visit his website?” and “How do we reach Pandji’s fans?” - and then how we applied those insights successfully to promote a new album.
Why do Pandji’s fans visit his website?
To understand what fans like on Pandji’s website, we decided to analyse three months worth of data from two reports:
- Top Content report: which tells us which pages (and which music and writings) people like the most
- Internal Site Search report: which tells us what people are searching for once they reach the site
How do we reach Pandji’s fans?
Pandji uses Facebook and Twitter to interact with his fans. To identify which of these mediums provide the best reach and traffic, we used campaign tracking parameters to monitor the performance of Pandji’s social media campaigns. We wanted to pinpoint which medium we should use to promote Pandji’s next album.
Before the actual album release, we posted several times on Twitter and Facebook and used campaign tracking parameters to understand which posts were most effective at driving visitors to Pandji’s website. We learned that almost 11 percent of overall traffic came from promotional messages placed on Twitter and Facebook. We also learned that promotions on Twitter (twitter/promoSMM) performed better than both organic referrals from Twitter and promotions on Facebook (facebook/promo SMM). With this information, we decided to use Twitter as the main vehicle to promote Pandji’s new album, Merdesa.
Putting it all together: Distributing Merdesa online and measuring performance
Pandji released Merdesa on his website as a free download and promoted the release on Twitter. We then partnered with Pandji’s marketing team to monitor Merdesa’s popularity and gain learnings for his next album release. As you can see, we’re big believers in continuous improvement!
To understand performance, we looked at:
- The number of page views of content related to Merdesa
- The number of clicks on the album’s download link
Analysing the results
The Merdesa page was the most-visited page in November 2010 and contributed 24.65% of all pageviews on the site for a total of 8,383 unique pageviews. We then used event tracking to measure clicks on the download links. For each click, we also tracked the title of the song downloaded. We identified 13,399 downloads as of the end of November 2010.
The event tracking reports could also show us which songs were most popular among visitors. With this list, we were able to rank each single on the Merdesa album by popularity. This insight helps Pandji understand what his fans want to hear.
Measure, analyse, recommend, measure again
Through the insights provided by Google Analytics, we were able to identify the key channels through which Pandji influences his fans and what they were most interested in. With these insights in hand, Pandji’s marketing team were able to come up with an effective digital marketing strategy for Merdesa.
We strongly believe in our Measure-Analyse-Recommend-Measure strategy for improving success rates for the marketers we consult with. I hope this inspires web analytics practitioners in Indonesia and globally to adopt a similar strategy!