Here you may find the top 10 segmentation tips you may need for web analytics;
1. Filter First, Group Second, Then Segment
2. Determine Visitor Type Segments
This includes new visitors, prospects, customers, affiliates, and employees. Different visitor types will behave differently on websites. Customers will behave very differently from new prospects, and employees may skew conversion rates much higher than they actually are.
3. Segment by Traffic Source Type
This includes paid versus organic search, earned social media versus owned social media, internal and external display advertising, and affiliates. Many web analytics solutions will provide a basic breakdown of traffic source reports, but going beyond the three basic types can be difficult without additional tagging.
Some key segments to consider with additional tagging includes earned social media (traffic sources you earn based on people sharing your content) versus owned social media (traffic sources you own such as a YouTube channel or Facebook page); paid versus organic search; and organic referring domains (link building) versus internal referring domains (other websites within your organization).
4. Scrutinize ‘Direct’ Traffic by Using Query String Parameters
Direct traffic gets a lot of unwarranted credit as a result of poor tagging. Ensure different sources of traffic including email, social media, redirects and mobile traffic drivers such as QR codes are adequately tagged using query string parameters so that better segmentation of direct traffic is possible.
5. Categorize Content by Intention
This includes research, purchase, renew, transact, or recommend. Content is often written with distinct personas in mind, so leverage that same content targeting nomenclature for your web analytics reports. Over time, you will be able to optimize user experience to funnel visitors through a logical sales process starting from research, to purchase, to transaction and/or renewal, to (hopefully) recommendations.
6. Segment by Product Type Engagement Using a Meaningful Taxonomy
In much the same way you would segment content by intention, implement tagging that recognizes product placement on pages for added reporting flexibility.
7. Integrate Data Sources Across Platforms
Web analytics data that is behavioral in nature should rarely be substituted for transactional data. Integrate data sources to understand the difference between analytics and book of record (accounting) information. Draw conclusions based on proxy, but don’t equate the two.
8. Get Closer to the Customer
There is a lot of jargon and scientific nomenclature in web analytics reporting that isn’t obvious to business stakeholders. Get closer to the customer by implementing non-personally identifiable customer “keys” that can help turn “unique visitors” into “customers”.
9. Set Targets With Reasoning for Each & Test Your Predictions
A good web analyst will be able to predict trends over time based on hypotheses derived from data and even market trends. A great web analyst will log these “guesstimates” with reasoning for each in order to make analysis that much easier come month, quarter, and year-end.
10. Align Segments & Metrics With Business Drivers
Is your business focused on aggressive acquisition for key products? Start segmenting your data to include key findings surrounding that focus.
Do the recipients of your reports continually ask to delve deeper into customer behavior instead? Shine a spotlight on customer segments over new visitors and prospects.
Aligning with the business equates to careful attention to detail and making your audience appreciative of analysis and open to change.