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Advanced Web Metrics with Google Analytics 3rd ed.
Web Metrics• Why Understanding Your Web Traffic Is Important
to Your Business
Terminology• Bounced Visitor• Campaign• Google Analytics Tracking Code• Goal Conversion• Funnel• Landing Page• Medium• Referrer• ROI (rev-cost)/cost• Session• Site Search• Source• URL
What can you learn from Web Analytics
Onsite Tools• Optimize
o marketing strategyo social search strategyo Site navigationo page content
Offsite Tools• Potential Audience (opportunity)• Share of Voice (visibility)• Buzz (comments and sentiment)
Where to Start• How many daily visitors you receive• Your average conversion rate (sales, registration,
download, and so on)• Your top-visited pages• The average visit time on site and how often visitors
come back• The referral source or channel that is driving the most
traffic• The geographic distribution of visitors and what
language setting they are using• How "sticky" your pages are: whether visitors stay or
simply bounce off (single‑• page visits)
Where to Start for ecommerce sites
• The revenue your site is generating• Where your customers are coming from (channel
and campaigns)• What your top-selling products are• The average order value of your top-selling
products
More Complicated Questions
• Where do my most valuable visitors come from (referral source and geography)?
• Which of the most valuable visitors are most likely to make a purchase, and which of those visitors are most likely to make the highest value purchases?
• Which are my most valuable content pages; that is, not just popular pages, but pages that also contribute to the conversion process?
• How do existing customers (or subscribers, downloaders, or social media fol lowers) use the site compared to new visitors?
• Am I wasting money on campaigns that bounce; that is, attracting visitors that only view a single page and then leave?
• Is my site engaging with visitors; that is, does anything on the site help build a relationship with an otherwise anonymous visitor?
• Is my internal site search helping or hindering conversions; that is, can visitors find what they are looking for once on my site?
• How many visits and how much time does it take for a visitor to become a customer (which affects promotion campaigns, email follow-ups, and affiliate relationships)?
Analytical Process
• AMATo Acquisition of visitorso Measurement of performanceo Analysis of trendso Testing to improve
ROI of Web Analytics
Table 1.2: The economic effect of a 1% increase in conversion rate
Measure Symbol Calculation Before AfterVisitors v 100,000 100,000Cost per visit c 1.00 1.00Cost of all visits cT v ´ c $100,000 $100,000
Conversion rate r 3.0% 4.0%Conversions C r ´ v 3,000 4,000Revenue per conversion V $75 $75Total revenue T V x C $225,000 $300,000Non-marketing profit margin
m 50% 50%
Non-marketing costs n m ´ T $112,500 $150,000Marketing costs cT v ´ c $100,000 $100,000
Total profit P T – (n + cT) $12,500 $50,000
Total marketing ROI R P ¸ cT 13% 50%
The Fit of Web Analytics
Additional Resources• https://
analyticsacademy.withgoogle.com/course01• https://
analyticsacademy.withgoogle.com/course02/course