In the previous posts, I wrote about
When do we need to do UI optimization for the Online Marketing Campaigns?
2 Design of Experiments for UI Optimization Testing is a Quantitative technique for optimizing UI, by executing A/B Tests or Multi-Variate Tests on 2 or more recipes of the UI.
Signature: Roopkumar T.V.
- Always delivering Relevant Landing Pages to Visitors coming from Search Engines and also about
- How to optimize Conversion Ratio(%) of Website Conversion Funnels.
When do we need to do UI optimization for the Online Marketing Campaigns?
- To optimize page effectiveness of specific pages like Home page, Landing page, Sale page, Product Listings page etc.
- Optimize Lead Generation Conversion Funnel performance
- Optimize Cart-Checkout performance
- Optimize effectiveness and usage of Web Forms.
- Optimize eCommerce Purchase Funnels.
- Optimize Search Effectiveness on the site
- and many more
As seen there are many innumerable number of opportunities to optimize the performance of Web UI through continuous user testing.
Why do we need to do UI optimization for the Online Marketing Campaigns?
An optimized UI will benefit Online Marketing Campaigns on many dimensions like
Why do we need to do UI optimization for the Online Marketing Campaigns?
An optimized UI will benefit Online Marketing Campaigns on many dimensions like
- Increased Conversion Rate(%) of Clicks to Leads, Purchases etc.
- Increased traffic dispersion across the site. Improved Conversion(%) performance of Micro-conversions and mini-goals on the site.
- Improved customer engagement with the Web channel.
- Higher RPVs (Revenue per Visit) and higher RPUs(Revenue per Unique Visitor).
- Increased Share of Customer Wallet. Increase in Average Order Size, Product Attach Rates etc.
- Reduced Customer Churn Rate.
- Overall higher ROI from Marketing Campaigns due to increased Conversions.
More details on each of above methodologies for executing UI Optimization Testing, will be discussed in future posts.
1 Big Data Mining for UI Optimization Testing involves generating insights on the user experiences, by data mining of Call Center Transcripts, Email Messages, Social Media Messages etc. using Big Data Analytics platforms.
2 Design of Experiments for UI Optimization Testing is a Quantitative technique for optimizing UI, by executing A/B Tests or Multi-Variate Tests on 2 or more recipes of the UI.
Signature: Roopkumar T.V.
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