- Project Summary
- About Our Client (*)
- The Challenge
- Work with Us
- The Solutions
- Results and Impacts
Project Summary
| Industry | Techstacks | Services Used | Cooperation Model |
| Digital Marketing | Looker LookML GCP Data Flow Cloud Function Pub/Sub Trigger | Data Visualization Data Analytics Business Intelligence | 1 Data Analyst 1 Data Engineer 1 Data Scientist |
About Our Client (*)
Our customer is a renowned digital media company, with over 1 million readers monthly drop by the website. The company focuses on optimizing and growing trusted digital media brands within five key categories: Automotive, Home, Military & Defense, Science &Tech, and Outdoors.
The Challenge
Despite the massive traffic they witnessed on website and other social media channels, at the moment they came to us, they did not tap into any dynamic reports to identify their top-performing content, and gather valuable insights for business operations. It’s like they have this vast treasure trove of data, but they’re unintentionally letting it go to waste.
The story doesn’t end here when the issue becomes more complex as most of their data is scattered, generated, and manually stored on personal computers in formats like .csv and .xls. Some is even tucked away in various online sources (data silos).
The client also faces a roadblock in lacking the necesary tools and skills to build the data flow, to track a large amount of data from users’ activities.
Work with Us
Our client has been referred to us with the clear priority in mind is to build the recommendation system based on the customers’ behaviours while browsing their website.
And they need us to assist them with eveluation, execution, and consultation. We worked closely with them to determine their priority at this time, and to devise an approach to tackle the issue at hand.
Then, we found out that their foremost need was to build a stable data flow.
The Solutions
We worked closely with them to design and build the data flow, which could handle a large amount of data in real time, then suggest the simliar piece of content for further reading.
- In greater detail, the data flow is constructed on the cloud, and designed to monitor every customer interaction on the webiste.
- The model then can identify patterns and similiarities among users, categorize them into groups with comparable tastes and preferences, and subsequently recommend additional content that might pique their interests.
Results and Impacts
The enhancement in user Engagement achieved are massive:
- The time spent on the website has increased by over 167%, from 15 minutes to 25 minutes.
- The website’s rating has risen from 4.5 to 4.7/5.
- Users are now more inclined to click on the next piece of content for further reading.
Find out the secret behind the impressive engagement
rates?
What The Future Holds For Our Collaboration?
Synodus’s here to empower our client’s expertise in content creation by doing what we’re good at – leveraging data to gather valuable insights. When passion meets precision and efficiency, the results are nothing short of extraordinary, so we are looking forward to whatever the future holds for our partnerships!
(*) We take our clients’ confidentiality seriously. While we have either modified names or refrained from disclosing them, the results are real.
The post On Achieving A 167% Surge In Website Engagement Rates With A Recommendation System appeared first on Synodus.
